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6. Who Owes the Most?

Author

Philips, Research By Matthew and Yarett, Ian

Subjects
Debt -- Statistics, Debt -- International aspects
Abstract

Byline: Research by Matthew Philips and Ian Yarett The American government may owe China $799 billion, but when it comes to foreign debt per capita, the U.S. is relatively prudent. […]

Published
2009

7. Using High-level Languages for Hardware Modeling and Implementation

Author

Ferreira, Nelson, DETI Universidade de Aveiro, Teixeira, Filipe, Lau, Nuno, Oliveira, Arnaldo, Moreira, Orlando, and Philips Research Laboaratories - Eindhoven

Subjects
System Specification, Hardware Design Flow, modeling, Synthesis, VHDL, SystemC, FPGA Prototyping, UART Design
Published
2011

8. Materials Issues in the Development of High Data-Transfer-Rate Phase-Change Compounds

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Lankhorst, Martijn H., Borg, Herman J., PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Lankhorst, Martijn H., and Borg, Herman J.

Abstract

A model is presented to calculate glass-transition temperatures. This model in combination with experimental data is used to evaluate archival-life stability of common phase change materials Ge2Sb2Te5 and doped eutectic Sb2Te compositions. On the basis of this model, novel high-data-rate phase change compositions have been identified near and on the pseudo-binary line InSb-GaSb in the ternary system Ga-In-Sb., Pub. in Materials Research Society symposium proceedings; v. 674 pV1.4.1-V1.4.6, 2001. This article is from ADA402512 Applications of Ferromagnetic and Optical Materials, Storage and Magnetoelectronics: Symposia Held in San Francisco, California, U.S.A. on April 16-20, 2001

Published
2001

9. Phase-Change Media for High-Density Optical Recording

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Borg, Herman, Lankhorst, Martijn, Meinders, Erwin, Leibbrandt, Wouter, PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Borg, Herman, Lankhorst, Martijn, Meinders, Erwin, and Leibbrandt, Wouter

Abstract

Rewritable optical-storage systems are quickly gaining market share in audio, video and data-storage applications. The development of new rewritable optical-storage formats with higher capacity and data rate critically depends on innovations made to the recording media incorporating so-called phase-change materials. These materials allow reversible switching between a low and high reflective state induced by laser heating. In this paper, we highlight phase-change media aspects as optical and thermal design, sputter-deposition, materials optimization, and the development of new recording strategies. Focus is on the speed race in optical recording., Pub. in Materials Research Society symposium proceedings; v. 674 pV1.2.1-V1.2.10, 2001. This article is from ADA402512 Applications of Ferromagnetic and Optical Materials, Storage and Magnetoelectronics: Symposia Held in San Francisco, California, U.S.A. on April 16-20, 2001

Published
2001

10. Static Tester for Characterization of Optical Near-Field Coupling Phenomena

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Zijp, Ferry, Martynov, Yourii V., PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Zijp, Ferry, and Martynov, Yourii V.

Abstract

We present an experimental set-up for systematical studies of optical near-field coupling phenomena using a solid immersion lens (SIL) to surpass the conventional far field diffraction limit. The set-up incorporates a microscope objective lens with NA=0.80 in combination with a hemispherical SIL manufactured from glass with refractive index n=1.887 and a laser with a wavelength of 430 nm. Test samples are positioned within the evanescent decay distance from the bottom surface of the SIL using a closed-loop-controlled piezo actuator. The laser spot can be scanned over the sample enabling a study of the push-pull signal of pregrooved samples on a split photodiode. The intensity distribution and polarisation state of the light reflected from the sample in the exit pupil of the microscope objective lens is studied on a CCD camera. The reflected light can be combined with a reference beam into an interferogram used for alignment purposes. We present measurements of evanescent coupling of light to a glass sample and the push-pull signal of a reflective phase grating with a groove pitch of 300 run as a function of thickness of the air gap between de SIL and the sample. The evanescent coupling to a glass sample can accurately be described by thin-film optics theory. Experiments show that the push-pull signal amplitude depends on the polarisation state of the irradiating beam., Proceedings of SPIE, v4081. Published by: SPIE-The International Society for Optical Engineering. This article is from ADA399082 Optical Storage and Optical Information Held in Taipei, Taiwan on 26-27 July 2000

Published
2000

11. Liquid Crystal Aberration Compensation Devices

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Stallinga, Sjoerd, Vrehen, Joris, Wals, Jeroen, Stapert, Henk, Verstegen, Emile, PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Stallinga, Sjoerd, Vrehen, Joris, Wals, Jeroen, Stapert, Henk, and Verstegen, Emile

Abstract

The application of aberration compensation devices can support the trend to higher information densities in optical data storage. The information content of a disc may be increased while maintaining acceptable tolerance levels. For example, disc tilt dependence may require coma compensation, whereas double layer formats require spherical aberration compensation. Liquid crystals (LCs) can be successfully applied in such devices. The design of two practical implementations is discussed; a coma compensating LC-cell with special electrode-design for optimized tolerances w.r.t. decentering, and a lens made of photopolymerizable LC, which can be used to compensate for spherical aberration., Proceedings of SPIE, v4081. Published by: SPIE-The International Society for Optical Engineering. This article is from ADA399082 Optical Storage and Optical Information Held in Taipei, Taiwan on 26-27 July 2000

Published
2000

12. Low Power Optical Nonlinearities Produced by Spatially Separated Electron/Hole Plasmas

Author

PHILIPS RESEARCH LABS REDHILL (UNITED KINGDOM), Dawson, P., Galbraith, I., Foxon, C. T., PHILIPS RESEARCH LABS REDHILL (UNITED KINGDOM), Dawson, P., Galbraith, I., and Foxon, C. T.

Abstract

Quantum well structures have received a great deal of interest as nonlinear elements in a variety of optical systems. In the absence of non-radiative recombination the dominant factor which controls the density of the electron/hole plasma (which mediates the nonlinearity) is the radiative lifetime. Thus if we wish to reduce the required optical power density in such systems we must maximise the radiative lifetime. In type I quantum wells the radiative lifetime (T= 1OK) is of the order of 500 ps(l) which leads to critical power densities of approx. kW/cM2. This lifetime is governed by the strong spatial overlap of the electron and hole wavefunctions. In type II quantum wells, by definition, the electron hole wavefunction overlap is greatly reduced leading to increased radiative lifetimes and hence low power optical nonlinearities., This article is from 'Organization of the Optical Society of America Photonic Science Topical Meeting Series. Volume 7. Quantum Optoelectronics Held in Salt Lake City, Utah on 11-13 March 1991,' AD-A253 823, p218-221.

Published
1992

13. Growth and Performance of GaInP/A1GaInP Visible Light Emitting Laser-Diodes

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Valster, Ad, Acket, Gerard A., PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Valster, Ad, and Acket, Gerard A.

Abstract

The quaternary alloy Al(x)Ga(l-x-y)In(y)P has the largest direct bandgap next to the nitrides among all III-V compound semiconductors (1). This alloy can be grown lattice matched to a GaAs substrate ( y- 0.5 ) and spans at room temperature a direct bandgap ranging from 1.85 eV ( for x=O to about 2.25 eV ( for x=0.3 ) at the gamma - X cross over. To date the organometallic vapour phase epitaxy OMVPE technique has been demonstrated to be the most suitable growth technique for the AlGaInP alloy (2). High quality GaInP and AlGaInP bulk layers have been produced using low pressure OMVPE., This article is from 'Organization of the Optical Society of America Photonic Science Topical Meeting Series. Volume 7. Quantum Optoelectronics Held in Salt Lake City, Utah on 11-13 March 1991,' AD-A253 823, p126-129.

Published
1992

14. PbTi03 Thin Films Grown by Organometallic Chemical Vapour Deposition

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Dormans, G. J. M., De Keijser, M., Larsen, P. K., PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS), Dormans, G. J. M., De Keijser, M., and Larsen, P. K.

Abstract

We have used organometallic chemical vapour deposition (OMCVD) to deposit ferroelectric PbTiO3 films on both single crystalline (001)SrTiO3 and oxidized Si substrates provided with a platinum electrode, using the precursors titanium-iso-propoxide and tetra-ethyl lead. Epitaxial PbTiO3 layers were grown on (001)SrTiO3 at temperatures around 700 V. The epitaxial nature of the c-axis oriented PbTiO3 is confirmed by Rutherford backscattering spectrometry including channeling, x-ray diffraction (XRD) and high-resolution electron microscopy. A minimum channeling backscatter yield of - 3 % is obtained under optimal conditions. Polycrystalline PbTiO3 films have been deposited on the platinized Si substrates at temperatures between 400 deg C and 550 deg C. XRD shows that the films are of a single-phase perovskite-type structure. For a layer deposited at 400 deg C followed by an anneal at 700 deg C we measured an E, of - 100 kv/cm, an P, of - 55 AC/cm', and a switching time < 50 ns. This latter value was limited by the instrumental set-up., This article is from 'Proceedings of the International Symposium on Integrated Ferroelectrics (ISIF) (3rd) Held in Colorado Springs, Colorado on 3-5 April 1991,' AD-253 000, p598-611.

Published
1991

15. SLICOT, a subroutine library for control and system theory

Author

TU Eindhoven - EE Dept, NAG - Numerical Analysis, Univ Gent - EE Dept, TU Eindhoven - Comp. Sc., UCL - FSA/INMA - Département d'ingénierie mathématique, Philips Research Lab Brussels - Applied Mathematics, KULeuven - ESAT, van den Boom, A., Brown, A., Dumortier , F., Geurts, A., Hammarling, S., Kool, R., Vanbegin, M., Van Dooren, Paul, Van Huffel, S., IFAC 1991 CADCS Conference, TU Eindhoven - EE Dept, NAG - Numerical Analysis, Univ Gent - EE Dept, TU Eindhoven - Comp. Sc., UCL - FSA/INMA - Département d'ingénierie mathématique, Philips Research Lab Brussels - Applied Mathematics, KULeuven - ESAT, van den Boom, A., Brown, A., Dumortier , F., Geurts, A., Hammarling, S., Kool, R., Vanbegin, M., Van Dooren, Paul, Van Huffel, S., and IFAC 1991 CADCS Conference

Published
1991

16. The MATLAB Gateway compiler. : A tool for automatic linking of FORTRAN routines to MATLAB

Author

TU Twente - EE Dept, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Renes, W., Vanbegin, M., Van Dooren, Paul, TU Twente - EE Dept, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Renes, W., Vanbegin, M., and Van Dooren, Paul

Published
1991

17. Computational aspects of the Jordan canonical form

Author

Philips Research - Glas, UCL - FSA/INMA - Département d'ingénierie mathématique, Beelen , T., Van Dooren, Paul, Philips Research - Glas, UCL - FSA/INMA - Département d'ingénierie mathématique, Beelen , T., and Van Dooren, Paul

Abstract

In this paper we discuss algorithmic aspects of the computation of the Jordan canonical form. Inspired by the Golub & Wilkinson paper [9] on the computation of the Jordan canonical form, an O(n 3 ) algorithm was developed by Beelen & Van Dooren [3] for computing the Kronecker structure of an arbitrary pencil B Gamma A. Here we show how the ideas of this algorithm lead to a special algorithm for reconstructing the Jordan structure of the standard eigenvalue problem I Gamma A.

Published
1990

18. Research on Post-Stall Aerodynamics.

Author

PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS) and PHILIPS RESEARCH LABS EINDHOVEN (NETHERLANDS)

Abstract

Fundamental results for two and three dimensional unsteady flows are derived. A model for vortex shedding at salient edges is advanced. A two dimensional Euler solver that implements this vortex shedding mechanism is described. Results of applying this model to impulsively started flat plates with fixed and with oscillating chord at angle of attack ate presented. Implications for manipulation of the vortex wake in a post stall maneuver are discussed. A three dimensional unsteady Euler solver based on primitive variables is described. Results of three dimensional computations for delta wing at fixed and time varying angle of attack are presented. Keywords: Post Stall Maneuverability; Separated Flow; Unsteady Aerodynamics; Vortex Shedding.

Published
1986

20. A systolic algorithm for Riccati and Lyapunov equations

Author

Philips Research Lab - Applied Mathematics, UCL - FSA/INGI - Département d'ingénierie informatique, Charlier, J.P., Van Dooren, Paul, Philips Research Lab - Applied Mathematics, UCL - FSA/INGI - Département d'ingénierie informatique, Charlier, J.P., and Van Dooren, Paul

Published
1989

21. Speech modelling and the trigonometric moment problem

Author

Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delsarte, Ph., Genin, Y., Kamp, Y., Van Dooren, Paul, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delsarte, Ph., Genin, Y., Kamp, Y., and Van Dooren, Paul

Published
1982

22. Systolic algorithms for digital signal processing

Author

Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Charlier, J.P., Vanbegin, M., Van Dooren, Paul, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Charlier, J.P., Vanbegin, M., and Van Dooren, Paul

Published
1988

27. On the role of the partial trigonometric moment problem in AR speech processing

Author

Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delsarte, Ph., Genin, Y., Kamp, Y., Van Dooren, Paul, Proceedings ICASSP 1983, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delsarte, Ph., Genin, Y., Kamp, Y., Van Dooren, Paul, and Proceedings ICASSP 1983

Published
1983

28. Sigma-contractive embeddings and interpretation of some algorithms for recursive estimation

Author

Stanford Univ - EE Dept, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delosme, J., Genin, Y., Morf, M., Van Dooren, Paul, Stanford Univ - EE Dept, Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Delosme, J., Genin, Y., Morf, M., and Van Dooren, Paul

Published
1980

29. On Sigma-lossless transfer functions and related questions

Author

Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Stanford Univ - EE Dept, Genin, Y., Van Dooren, Paul, Kailath, T., Delosme, J., Morf, M., Philips Research Lab Brussels - Applied Mathematics, UCL - FSA/INMA - Département d'ingénierie mathématique, Stanford Univ - EE Dept, Genin, Y., Van Dooren, Paul, Kailath, T., Delosme, J., and Morf, M.

Published
1983

30. Thin film patterns with sloping edges

Author

null Philips Research Lab.

Subjects
Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials
Published
1975

31. Zirconium boride resistors for hybrid integrated circuits

Author

null Philips Research Lab.

Subjects
Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films, Electronic, Optical and Magnetic Materials
Published
1975

33. Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation

Author

Olivier Rouvière, Paul Cezar Moldovan, Anna Vlachomitrou, Sylvain Gouttard, Benjamin Riche, Alexandra Groth, Mark Rabotnikov, Alain Ruffion, Marc Colombel, Sébastien Crouzet, Juergen Weese, Muriel Rabilloud, Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Philips Research [Germany], Philips Research, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Centre pour l'innovation en cancérologie de Lyon (CICLY), Université de Lyon-Université de Lyon, Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Male, Deep Learning, [SDV]Life Sciences [q-bio], Image Processing, Computer-Assisted, Prostate, Humans, Radiology, Nuclear Medicine and imaging, General Medicine, Magnetic Resonance Imaging, ComputingMilieux_MISCELLANEOUS, Algorithms, Pelvis
Abstract

To train and to test for prostate zonal segmentation an existing algorithm already trained for whole-gland segmentation.The algorithm, combining model-based and deep learning-based approaches, was trained for zonal segmentation using the NCI-ISBI-2013 dataset and 70 T2-weighted datasets acquired at an academic centre. Test datasets were randomly selected among examinations performed at this centre on one of two scanners (General Electric, 1.5 T; Philips, 3 T) not used for training. Automated segmentations were corrected by two independent radiologists. When segmentation was initiated outside the prostate, images were cropped and segmentation repeated. Factors influencing the algorithm's mean Dice similarity coefficient (DSC) and its precision were assessed using beta regression.Eighty-two test datasets were selected; one was excluded. In 13/81 datasets, segmentation started outside the prostate, but zonal segmentation was possible after image cropping. Depending on the radiologist chosen as reference, algorithm's median DSCs were 96.4/97.4%, 91.8/93.0% and 79.9/89.6% for whole-gland, central gland and anterior fibromuscular stroma (AFMS) segmentations, respectively. DSCs comparing radiologists' delineations were 95.8%, 93.6% and 81.7%, respectively. For all segmentation tasks, the scanner used for imaging significantly influenced the mean DSC and its precision, and the mean DSC was significantly lower in cases with initial segmentation outside the prostate. For central gland segmentation, the mean DSC was also significantly lower in larger prostates. The radiologist chosen as reference had no significant impact, except for AFMS segmentation.The algorithm performance fell within the range of inter-reader variability but remained significantly impacted by the scanner used for imaging.• Median Dice similarity coefficients obtained by the algorithm fell within human inter-reader variability for the three segmentation tasks (whole gland, central gland, anterior fibromuscular stroma). • The scanner used for imaging significantly impacted the performance of the automated segmentation for the three segmentation tasks. • The performance of the automated segmentation of the anterior fibromuscular stroma was highly variable across patients and showed also high variability across the two radiologists.

Published
2022

34. QSM reconstruction challenge 2.0: A realistic in silico head phantom for MRI data simulation and evaluation of susceptibility mapping procedures

Author

Renaud Hedouin, Jakob Meineke, Carlos Milovic, Berkin Bilgic, Christian Langkammer, Kwok-Shing Chan, José P. Marques, Ferdinand Schweser, Wietske van der Zwaag, Donders Institute for Brain, Cognition and Behaviour, Radboud University [Nijmegen], Philips Research [Germany], Philips Research, Department of Medical Physics and Biomedical Engineering (UCL), University College of London [London] (UCL), Pontificia Universidad Católica de Chile (UC), Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Harvard-MIT Division of Health Sciences and Technology [Cambridge], Massachusetts Institute of Technology (MIT), Neuroimagerie: méthodes et applications (Empenn), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Spinoza Center for Neuroimaging [Amsterdam], Medical University of Graz, State University of New York [Buffalo], Radboud university [Nijmegen], Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile., Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Empenn, Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), spinoza centre for neuroimaging, Center for biomedical imaging [Bufalo], University at Buffalo [SUNY] (SUNY Buffalo), State University of New York (SUNY)-State University of New York (SUNY), center for biomedical imaging [Buffalo], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Spinoza Centre for Neuroimaging

Subjects
Source code, Computer science, Property (programming), media_common.quotation_subject, computer.software_genre, Imaging phantom, 030218 nuclear medicine & medical imaging, law.invention, Full Papers—Computer Processing and Modeling, 03 medical and health sciences, 0302 clinical medicine, law, Voxel, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Image Processing, Computer-Assisted, Humans, Radiology, Nuclear Medicine and imaging, Cartesian coordinate system, Computer vision, Computer Simulation, media_common, Ground truth, in silico head phantom, quantitative susceptibility mapping, Full Paper, business.industry, Phantoms, Imaging, [SCCO.NEUR]Cognitive science/Neuroscience, Relaxation (iterative method), Brain, Quantitative susceptibility mapping, MRI simulations, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], Magnetic Resonance Imaging, Artificial intelligence, business, computer, Head, 030217 neurology & neurosurgery, Algorithms
Abstract

Purpose To create a realistic in silico head phantom for the second QSM reconstruction challenge and for future evaluations of processing algorithms for QSM. Methods We created a digital whole-head tissue property phantom by segmenting and postprocessing high-resolution (0.64 mm isotropic), multiparametric MRI data acquired at 7 T from a healthy volunteer. We simulated the steady-state magnetization at 7 T using a Bloch simulator and mimicked a Cartesian sampling scheme through Fourier-based processing. Computer code for generating the phantom and performing the MR simulation was designed to facilitate flexible modifications of the phantom in the future, such as the inclusion of pathologies as well as the simulation of a wide range of acquisition protocols. Specifically, the following parameters and effects were implemented: TR and TE, voxel size, background fields, and RF phase biases. Diffusion-weighted imaging phantom data are provided, allowing future investigations of tissue-microstructure effects in phase and QSM algorithms. Results The brain part of the phantom featured realistic morphology with spatial variations in relaxation and susceptibility values similar to the in vivo setting. We demonstrated some of the phantom's properties, including the possibility of generating phase data with nonlinear evolution over TE due to partial-volume effects or complex distributions of frequency shifts within the voxel. Conclusion The presented phantom and computer programs are publicly available and may serve as a ground truth in future assessments of the faithfulness of quantitative susceptibility reconstruction algorithms.

Published
2021

35. A Pilot Study on Convolutional Neural Networks for Motion Estimation From Ultrasound Images

Author

Khuram Faraz, Olivier Bernard, Thomas Grenier, Mathieu De Craene, Ewan Evain, Damien Garcia, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), MedisysResearch Lab (Medisys), Philips Research, Modeling & analysis for medical imaging and Diagnosis (MYRIAD), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Philips Research-Philips Research, Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), and Bernard, Olivier

Subjects
[PHYS.PHYS.PHYS-FLU-DYN]Physics [physics]/Physics [physics]/Fluid Dynamics [physics.flu-dyn], Acoustics and Ultrasonics, Computer science, Movement, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pilot Projects, Iterative reconstruction, Motion estimation, 01 natural sciences, Convolutional neural network, Speckle pattern, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, 0103 physical sciences, Image Processing, Computer-Assisted, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Segmentation, Computer vision, Electrical and Electronic Engineering, 010301 acoustics, Instrumentation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Ultrasonography, Pixel, Phantoms, Imaging, business.industry, ultrasound, Deep learning, deep learning, Motion field, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; In recent years, deep learning (DL) has been successfully applied to the analysis and processing of ultrasound images. To date, most of this research has focused on segmentation and view recognition. This article benchmarks different convolutional neural network algorithms for motion estimation in ultrasound imaging. We evaluated and compared several networks derived from FlowNet2, one of the most efficient architectures in computer vision. The networks were tested with and without transfer learning, and the best configuration was compared against the particle imaging velocimetry method, a popular state-of-the-art block-matching algorithm. Rotations are known to be difficult to track from ultrasound images due to a significant speckle decorrelation. We thus focused on the images of rotating disks, which could be tracked through speckle features only. Our database consisted of synthetic and in vitro B-mode images after log compression and covered a large range of rotational speeds. One of the FlowNet2 subnetworks, FlowNet2SD, produced competitive results with a motion field error smaller than 1 pixel on real data after transfer learning based on the simulated data. These errors remain small for a large velocity range without the need for hyperparameter tuning, which indicates the high potential and adaptability of DL solutions to motion estimation in ultrasound imaging.

Published
2020

36. Similar factors underlie tree abundance in forests in native and alien ranges

Author

Florian Jansen, Robert K. Peet, Marco Moretti, Erwin Bergmeier, Brody Sandel, Cyrille Violle, Franz Essl, Holger Kreft, Ute Jandt, Michele De Sanctis, Masha T. van der Sande, Alvaro G. Gutiérrez, Helge Bruelheide, Marten Winter, Mária Šibíková, Thomas Wohlgemuth, Richard Field, Koen Kramer, Timothy J. S. Whitfeld, Marco Schmidt, Petr Pyšek, Fabio Attorre, Jan Pergl, Milan Chytrý, Peter B. Reich, Tiffany M. Knight, Oliver Purschke, Borja Jiménez-Alfaro, Stefan Klotz, Jens Kattge, Mark van Kleunen, Joern Pagel, Greg R. Guerin, Petr Petřík, Matteo Dainese, Valentin Golub, Wayne Dawson, Sylvia Haider, Ülo Niinemets, Jaime Fagúndez, Jürgen Dengler, Josep Peñuelas, Elizabeth Kearsley, Patrick Weigelt, Isabelle Aubin, Ecosystem and Landscape Dynamics (IBED, FNWI), Martin-Luther-Universität Halle Wittenberg (MLU), Department of Ecology, University of Warsaw (UW), Universität Bayreuth, Umweltbundesamt, University of Nottingham, UK (UON), Department of Biodiversity, Macroecology and Biogeography, Georg-August-Universität Göttingen, Inst. Biochem. & Biol., University of Potsdam, Institute of Botany, Czech Academy of Sciences [Prague] (ASCR), Martin-Luther-University Halle-Wittenberg, German Centre for Integrative Biodiversity Research, Masaryk University, Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), Laboratoire d'hydrodynamique (LadHyX), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Institut für Geowissenschaften, Eberhard Karls Universität Tübingen, Wageningen University and Research Centre [Wageningen] (WUR), Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Swiss Federal Research Institute, Department of Ecology [Warsaw], Institute of Zoology [Warsaw], Faculty of Biology [Warsaw], University of Warsaw (UW)-University of Warsaw (UW)-Faculty of Biology [Warsaw], University of Warsaw (UW)-University of Warsaw (UW), Georg-August-University [Göttingen], Czech Academy of Sciences [Prague] (CAS), Masaryk University [Brno] (MUNI), Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Wageningen University and Research [Wageningen] (WUR), Estonian University of Life Sciences (EMU), University of Minnesota [Twin Cities] (UMN), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud])

Subjects
0106 biological sciences, Plant invasion, Introduced species, 01 natural sciences, Invasive species, Trees, forest, Abundance, Abundance (ecology), functional traits, Macroecology, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, Global and Planetary Change, abundance, Ecology, dissimilarity, global, plant invasion, trees, Global, PE&RC, Research Papers, 580: Pflanzen (Botanik), Habitat, [SDE]Environmental Sciences, Technologie and Innovatie, Knowledge Technology and Innovation, Kennis, Functional traits, Research Paper, Biogeography, Alien, Biology, 010603 evolutionary biology, tree abundance, forsts, ddc:570, Bosecologie en Bosbeheer, Forest, 577: Ökologie, Relative species abundance, Ecology, Evolution, Behavior and Systematics, 010604 marine biology & hydrobiology, 15. Life on land, Forest Ecology and Forest Management, abundance, dissimilarity, forest, functional traits, global, plant invasion, trees, Dissimilarity, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Biological invasion, Kennis, Technologie and Innovatie
Abstract

Netherlands Organisation for Scientific Research (NWO), Grant/Award Number: 019.171LW.023; German Research Foundation; German Research Foundation DFG, Grant/Award Number: 264740629; FONDECYT, Grant/Award Number: 11150835; CONICYT-PAI, Grant/Award Number: 82130046; 7th European Community Framework Programme, Grant/Award Number: FORECOFUN-SSA PIEF-GA-2010–274798; European Research Council Synergy, Grant/Award Number: ERC-SyG-2013-610028; Austrian Science Foundation, Grant/Award Number: I2086-B16; Czech Science Foundation, Centre of Excellence PLADIAS, Grant/Award Number: 14-15414S and RVO 67985939; EXPRO, Grant/Award Number: 19-28807X; VEGA, Grant/Award Number: 0051/1, van der Sande, M.T., Bruelheide, H., Dawson, W., Dengler, J., Essl, F., Field, R., Haider, S., van Kleunen, M., Kreft, H., Pagel, J., Pergl, J., Purschke, O., Pyšek, P., Weigelt, P., Winter, M., Attorre, F., Aubin, I., Bergmeier, E., Chytrý, M., Dainese, M., De Sanctis, M., Fagundez, J., Golub, V., Guerin, G.R., Gutiérrez, A.G., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Kearsley, E., Klotz, S., Kramer, K., Moretti, M., Niinemets, Ü., Peet, R.K., Penuelas, J., Petřík, P., Reich, P.B., Sandel, B., Schmidt, M., Sibikova, M., Violle, C., Whitfeld, T.J.S., Wohlgemuth, T., Knight, T.M.

Published
2020

37. Augmented Resistive Immersed Surfaces valve model for the simulation of cardiac hemodynamics with isovolumetric phases

Author

Jean-Frédéric Gerbeau, Alexandre This, Miguel Angel Fernández, Ludovic Boilevin-Kayl, MedisysResearch Lab (Medisys), Philips Research, COmputational Mathematics for bio-MEDIcal Applications (COMMEDIA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria), The research has been partially supported by a CIFRE Ph.D convention established between INRIA Paris and Philips Research, France. The research leading to these results has also been partially supported by the project MIVANA. MIVANA is a collaborative project for the development of new technologies for mitral valve repair. It is led by the start-up company Kephalios, with the participation of the start-up company Epygon, and it has received funds from the French government, in the context of the program 'Investissement d’Avenir'., Numerical simulation of biological flows (REO), Sorbonne Université (SU)-Inria de Paris, Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)

Subjects
Work (thermodynamics), Materials science, 0206 medical engineering, Finite Element Analysis, Biomedical Engineering, Hemodynamics, Heart hemodynamics, 02 engineering and technology, Cardiac hemodynamics, 030204 cardiovascular system & hematology, 03 medical and health sciences, 0302 clinical medicine, Cardiac valve, Humans, Computer Simulation, One-way uncoupling, Molecular Biology, Isovolumetric contraction, Resistive touchscreen, Applied Mathematics, Models, Cardiovascular, Blood flow, Mechanics, Models, Theoretical, 020601 biomedical engineering, Resistive immersed surfaces, Computational Theory and Mathematics, Modeling and Simulation, Software, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA]
Abstract

In order to reduce the complexity of heart hemodynamics simulations, uncoupling approaches are often considered for the modeling of the immersed valves as an alternative to complex fluid-structure interaction (FSI) models. A possible shortcoming of these simplified approaches is the difficulty to correctly capture the pressure dynamics during the isovolumetric phases. In this work, we propose an enhanced resistive immersed surfaces (RIS) model of cardiac valves, which overcomes this issue. The benefits of the model are investigated and tested in blood flow simulations of the left heart where the physiological behavior of the intracavity pressure during the isovolumetric phases is recovered without using fully coupled fluid-structure models and without important alteration of the associated velocity field.

Published
2020

38. TRY plant trait database – enhanced coverage and open access

Author

Kattge, J., Bonisch, G., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Adamidis, G. C., Adamson, K., Aiba, M., Albert, C. H., Alcantara, J. M., Alcazar, C C., Aleixo, I., Ali, H., Amiaud, B., Ammer, C., Amoroso, M. M., Anand, M., Anderson, C., Anten, N., Antos, J., Apgaua, D. M. G., Ashman, T. L., Asmara, D. H., Asner, G. P., Aspinwall, M., Atkin, O., Aubin, I., Baastrup-Spohr, L., Bahalkeh, K., Bahn, M., Baker, T., Baker, W. J., Bakker, J. P., Baldocchi, D., Baltzer, J., Banerjee, A., Baranger, A., Barlow, J., Barneche, D. R., Baruch, Z., Bastianelli, D., Battles, J., Bauerle, W., Bauters, M., Bazzato, E., Beckmann, M., Beeckman, H., Beierkuhnlein, C., Bekker, R., Belfry, G., Belluau, M., Beloiu, M., Benavides, R., Benomar, L., Berdugo-Lattke, M. L., Berenguer, E., Bergamin, R., Bergmann, J., Bergmann Carlucci, M., Berner, L., Bernhardt Romermann, M., Bigler, C., Bjorkman, A. D., Blackman, C., Blanco, C., Blonder, B., Blumenthal, D., Bocanegra Gonzalez, K. T., Boeckx, P., Bohlman, S., Bohning Gaese, K., Boisvert Marsh, L., Bond, W., Bond-Lamberty, B., Boom, A., Boonman, C. C. F., Bordin, K., Boughton, E. H., Boukili, V., Bowman, D. M. J. S., Bravo, S., Brende, l M. R., Broadley, M. R., Brown, K. A., Bruelheide, H., Brumnich, F., Bruun, H. H., Bruy, D., Buchanan, S. W., Bucher, S. F., Buchmann, N., Buitenwerf, R., Bunker, D. E., Burge, r J., Burrascano, S., Burslem, D. F. R. P., Butterfield, B. J., Byun, C., Marques, M., Scalon, M. C., Caccianiga, M., Cadotte, M., Cailleret, M., Camac, J., Camarero, J. J., Campany, C., Campetella, G., Campos, J. A., Cano Arboleda, L., Canullo, R., Carbognani, M., Carvalho, F., Casanoves, F., Castagneyrol, B., Catford, J. A., Cavender Bares, J., Cerabolini, B. E. L., Cervellini, M., Chacon Madrigal, E., Chapin, K., Chapin, F. S., Chelli, S., Chen, S. C., Chen, A., Cherubini, P., Chianucci, F., Choat, B., Chung, K. S., Chytry, M., Ciccarelli, D., Coll, L., Collins, C. G., Conti, L., Coomes, D., Cornelissen, J. H. C., Cornwell, W. K., Corona, P., Coyea, M., Craine, J., Craven, D., Cromsigt, J. P. G. M., Csecserits, A., Cufar, K., Cuntz, M., da Silva, A. C., Dahlin, K. M., Dainese, M., Dalke, I., Dalle Fratte, M., Dang Le, A. T., Danihelka, J., Dannoura, M., Dawson, S., de Beer, A. J., De Frutos, A., De Long, J. R., Dechant, B., Delagrange, S., Delpierre, N., Derroire, G., Dias, A. S., Diaz Toribio, M. H., Dimitrakopoulos, P. G., Dobrowolski, M., Doktor, D., Drevojan, P., Dong, N., Dransfield, J., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Dymova, O., E- Vojtko, A., Eckstein, R. L., Ejtehadi, H., Elser, J., Emilio, T., Engemann, K., Erfanian, M. B., Erfmeier, A., Esquivel Muelbert, A., Esser, G., Estiarte, M., Domingues, T. F., Fagan, W. F., Fagundez, J., Falster, D. S., Fan, Y., Fang, J., Farris, E., Fazlioglu, F., Feng, Y., Fernandez, Mendez, Ferrara, C., Ferreira, J., Fidelis, A., Finegan, B., Firn, J., Flowers, T. J., Flynn, D. F. B., Fontana, V., Forey, E., Forgiarini, C., Francois, L., Frangipani, M., Frank, D., Frenette Dussault, C., Freschet, G. T., Fry, E. L., Fyllas, N. M., Mazzochini, G. G., Gachet, S., Gallagher, R., Ganade, G., Ganga, F., Garcia Palacios, P., Gargaglione, V., Garnier, E., Garrido, J. L., de Gasper, A. L., Gea Izquierdo, G., Gibson, D., Gillison, A. N., Giroldo, A., Glasenhardt, M. C., Gleason, S., Gliesch, M., Goldberg, E., Goldel, B., Gonzalez Akre, E., Gonzalez Andujar, J. L., Gonzalez Melo, A., Gonzalez Robles, A., Graae, B. J., Granda, E., Graves, S., Green, W. A., Gregor, T., Gross, N., Guerin, G. R., Gunther, A., Gutierrez, A. G., Haddock, L., Haines, A., Hall, J., Hambuckers, A., Han, W., Harrison, S. P., Hattingh, W., Hawes, J. E., He, T., He, P., Heberling, J. M., Helm, A., Hempel, S., Hentschel, J., Herault, B., Heres, A. M., Herz, K., Heuertz, M., Hickler, T., Hietz, P., Higuchi, P., Hipp, A. L., Hirons, A., Hock, M., Hogan, J. A., Holl, K., Honnay, O., Hornstein, D., Hou, E., Hough Snee, N., Hovstad, K. A., Ichie, T., Igic, B., Illa, E., Isaac, M., Ishihara, M., Ivanov, L., Ivanova, L., Iversen, C. M., Izquierdo, J., Jackson, R. B., Jackson, B., Jactel, H., Jagodzinsk, A. M., Jandt, U., Jansen, S., Jenkins, T., Jentsch, A., Jespersen, J. R. P., Jiang, G. F., Johansen, J. L., Johnson, D., Jokela, E. J., Joly, C. A., Jordan, G. J., Joseph, G. S., Junaedi, D., Junker, R. R., Justes, E., Kabzems, R., Kane, J., Kaplan, Z., Kattenborn, T., Kavelenova, L., Kearsley, E., Kempel, A., Kenzo, T., Kerkhoff, A., Khalil, M. I., Kinlock, N. L., Kissling, W. D., Kitajima, K., Kitzberger, T., Kjoller, R., Klein, T., Kleyer, M., Klimesova, J., Klipel, J., Kloeppel, B., Klotz, S., Knops, J. M. H., Kohyama, T., Koike, F., Kollmann, J., Komac, B., Komatsu, K., Konig, C., Kraft, N. J. B., Kramer, K., Kreft, H., Kuhn, I., Kumarathune, D., Kuppler, J., Kurokawa, H., Kurosawa, Y., Kuyah, S., Laclau, J. P., Lafleur, B., Lallai, E., Lamb, E., Lamprecht, A., Larkin, D. J., Laughlin, D., Le Bagousse Pinguet, Y., le Maire, G., le Roux, P. C., le Roux, E., Lee, T., Lens, F., Lewis, S. L., Lhotsky, B., Li, Y., Li, X., Lichstein, J. W., Liebergesell, M., Lim, J. Y., Lin, Y. S., Linares, Y. C., Liu, C., Liu, D., Liu, U., Livingstone, S., Llusia, J., Lohbeck, M., Lopez Garcia, A., Lopez Gonzalez, G., Lososov, a Z., Louault, F., Lukacs, B. A., Lukes, P., Luo, Y., Lussu, M., Ma, S., Maciel Rabelo Pereira, C., Mack, M., Maire, V., Makela, A., Makinen, H., Malhado, A. C. M., Mallik, A., Manning, P., Manzoni, S., Marchetti, Z., Marchino, L., Marcilio Silva, V., Marcon, E., Marignani, M., Markesteijn, L., Martin, A., Martinez Garza, C., Martinez Vilalta, J., Maskova, T., Mason, K., Mason, N., Massad, T. J., Masse, J., Mayrose, I., Mccarthy, J., Mccormack, M. L., Mcculloh, K., Mcfadden, I., Mcgill, B. J., Mcpartland, M. Y., Medeiros, J., Medlyn, B., Meerts, P., Mehrabi, Z., Meir, P., Melo, F., P. L., Mencuccini, M., Meredieu, C., Messier, J., Meszaros, I., Metsaranta, J., Michaletz, S. T., Michelaki, C., Migalina, S., Milla, R., Miller, J., E. D., Minden, V., Ming, R., Mokany, K., Moles, A. T., Molnar, A., Molofsky, J., Molz, M., Montgomery, R. A., Monty, A., Moravcova, L., Moreno Martinez, A., Moretti, M., Mori, A. S., Mori, S., Morris, D., Morrison, J., Mucina, L., Mueller, S., Muir, C. D., Muller, S. C., Munoz, F., Myers Smith, I. H., Myster, R. W., Nagano, M., Naidu, S., Narayanan, A., Natesan, B., Negoita, L., Nelson, A. S., Neuschulz, E. L., Ni, J., Niedrist, G., Nieto, J., Niinemets, U., Nolan, R., Nottebrock, H., Nouvellon, Y., Novakovskiy, A., Nystuen, K. O., O'Grady, A., O'Hara, K., O'Reilly Nugent, A., Oakley, S., Oberhuber, W., Ohtsuka, T., Oliveira, R., Ollerer, K., Olson, M. E., Onipchenko, V., Onoda, Y., Onstein, R. E., Ordonez, J. C., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Overbeck, G. E., Ozinga, W. A., Pahl, A. T., Paine, C. E. T., Pakeman, R. J., Papageorgiou, A. C., Parfionova, E., Partel, M., Patacca, M., Paula, S., Paule, J., Pauli, H., Pausas, J., Peco, B., Penuelas, J., Perea, A., Peri, P. L., Petisco Souza, A. C., Petraglia, A., Petritan, A. M., Phillips, O. L., Pierce, S., Pillar, V. D., Pisek, J., Pomogaybin, A., Poorter, H., Portsmuth, A., Poschlod, P., Potvin, C., Pounds, D., Powell, A., Power, S. A., Prinzing, A., Puglielli, G., Pysek, P., Raevel, V., Rammig, A., Ransijn, J., Ray, C. A., Reich, P. B., Reichstein, M., Reid, D. E. B., Rejou Mechain, M., de Dios, V. R., Ribeiro, S., Richardson, S., Riibak, K., Rillig, M. C., Riviera, F., Robert, E. M. R., Roberts, S., Robroek, B., Roddy, A., Rodrigues, A. V., Rogers, A., Rollinson, E., Rolo, V., Romermann, C., Ronzhina, D., Roscher, C., Rosell, J. A., Rosenfield, M. F., Rossi, C., Roy, D. B., Royer Tardif, S., Ruger, N., Ruiz Peinado, R., Rumpf, S. B., Rusch, G. M., Ryo, M., Sack, L., Saldana, A., Salgado Negret, B., Salguero Gomez, R., Santa Regina, I., Santacruz Garcia, A. C., Santos, J., Sardans, J., Schamp, B., Scherer Lorenzen, M., Schleuning, M., Schmid, B., Schmidt, M., Schmitt, S., Schneider, J. V., Schowanek, S. D., Schrader, J., Schrodt, F., Schuldt, B., Schurr, F., Selaya Garvizu, G., Semchenko, M., Seymour, C., Sfair, J. C., Sharpe, J. M., Sheppard, C. S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T. A., Siebenkas, A., Sierra, C., Silva, V., Silva, M., Sitzia, T., Sjoman, H., Slot, M., Smith, N. G., Sodhi, D., Soltis, P., Soltis, D., Somers, B., Sonnier, G., Sorensen, M. V., Sosinski, E. E., Soudzilovskaia, N. A., Souza, A. F., Spasojevic, M., Sperandii, M. G., Stan, A. B., Stegen, J., Steinbauer, K., Stephan, J. G., Sterck, F., Stojanovic, D. B., Strydom, T., Suarez, M. L., Svenning, J. C., Svitkova, I., Svitok, M., Svoboda, M., Swaine, E., Swenson, N., Tabarelli, M., Takagi, K., Tappeiner, U., Tarifa, R., Tauugourdeau, S., Tavsanoglu, C., te Beest, M., Tedersoo, L., Thiffault, N., Thom, D., Thomas, E., Thompson, K., Thornton, P. E., Thuiller, W., Tichy, L., Tissue, D., Tjoelker, M. G., Tng, D. Y. P., Tobias, J., Torok, P., Tarin, T., Torres Ruiz, J. M., Tothmeresz, B., Treurnicht, M., Trivellone, V., Trolliet, F., Trotsiuk, V., Tsakalos, J. L., Tsiripidis, I., Tysklind, N., Umehara, T., Usoltsev, V., Vadeboncoeur, M., Vaezi, J., Valladares, F., Vamosi, J., van Bodegom, P. M., van Breugel, M., Van Cleemput, E., van de Weg, M., van der Merwe, S., van der Plas, F., van der Sande, M. T., van Kleunen, M., Van Meerbeek, K., Vanderwel, M., Vanselow, K. A., Varhammar, A., Varone, L., Vasquez Valderrama, M. Y., Vassilev, K., Vellend, M., Veneklaas, E. J., Verbeeck, H., Verheyen, K., Vibrans, A., Vieira, I., Villacis, J., Violle, C., Vivek, P., Wagner, K., Waldram, M., Waldron, A., Walker, A . P., Waller, M., Walther, G., Wang, H., Wang, F., Wang, W., Watkins, H., Watkins, J., Weber, U., Weedon, J. T., Wei, L., Weigelt, P., Weiher, E., Wells, A. W., Wellstein, C., Wenk, E., Westoby, M., Westwood, A., White, P. J., Whitten, M., Williams, M., Winkler, D. E., Winter, K., Womack, C., Wright, I. J., Wright, S. J., Wright, J., Pinho, B. X., Ximenes, F., Yamada, T., Yamaji, K., Yanai, R., Yankov, N., Yguel, B., Zanini, K. J., Zanne, A. E., Zeleny, D., Zhao, Y. P., Zheng, J., Zieminska, K., Zirbel, C. R., Zizka, G., Zo Bi, I. C., Zotz, G., Wirth, C., Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant - Clermont Auvergne (PIAF), Université Clermont Auvergne (UCA)-Institut National de la Recherche Agronomique (INRA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité Expérimentale Forêt Pierroton (UEFP), Institut National de la Recherche Agronomique (INRA), Max Planck Institute for Biogeochemistry Max Planck SocietyFoundation CELLEX German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig International Programme of Biodiversity Science (DIVERSITAS) International Geosphere-Biosphere Programme (IGBP) French Foundation for Biodiversity Research (FRB) GIS 'Climat, Environnement et Societe' France AXA Research Fund NERC Natural Environment Research Council Future Earth, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research (iDiv), Instituto Multidisciplinario de Biología Vegetal [Córdoba] (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas, Físicas y Naturales [Córdoba], Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina], Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Imperial College London, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Zoology [Oxford], University of Oxford, Balliol College, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Tarbiat Modares University [Tehran], Università degli Studi Roma Tre = Roma Tre University (ROMA TRE), Department of Environment [Aegean], University of the Aegean, Institute of Ecology and Evolution [Bern, Switzerland], University of Bern, University of Tartu, Tohoku University [Sendai], Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Universidad de Jaén (UJA), Instituto Alexander Von Humboldt, Bogota, Colombia, National Institute of Amazonian Research (INPA), Manaus, Brazil, Botany Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, Laboratoire Agronomie et Environnement - Antenne Colmar (LAE-Colmar ), Laboratoire Agronomie et Environnement (LAE), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Forest Sciences, University of Göttingen, Göttingen, Germany, Centre for Biodiversity and Sustainable Land-use [University of Göttingen] (CBL), Georg-August-University = Georg-August-Universität Göttingen, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), Universidad Nacional de Río Negro, El Bolsón, Argentina, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), School of Environmental Sciences, University of Guelph, Pacific Northwest National Laboratory, Richland, WA, USA, University of Massachusetts [Amherst] (UMass Amherst), University of Massachusetts System (UMASS), Centre for Crop Systems Analysis, Wageningen University and Research [Wageningen] (WUR), University of Victoria [Canada] (UVIC), College of Science & Engineering, James Cook University, Smithfield, Qld, Australia, University of Pittsburgh, Pittsburgh, PA, USA, Centre for Forest Research, Institute for Integrative Systems Biology, Université Laval, Quebec, QC, Canada, Arizona State University, Tempe, AZ, USA, University of North Florida [Jacksonville] (UNF), Australian National University (ANU), Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Sault Ste. Marie, ON, Canada, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Ecology [Innsbruck], Leopold Franzens Universität Innsbruck - University of Innsbruck, University of Leeds, Royal Botanic Gardens Kew, Richmond, UK, Conservation Ecology, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Biology Department, Wilfrid Laurier University, Waterloo, ON, Canada, Department of Forest Resources, University of Minnesota, St. Paul, MN, USA, AgroParisTech, Lancaster Environment Centre, Lancaster University, University of Exeter, University of Adelaide, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA, Universiteit Gent = Ghent University (UGENT), Università degli Studi di Cagliari = University of Cagliari (UniCa), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Royal Museum for Central Africa, Tervuren, Belgium, Bayreuth Center of Ecology and Environmental Research (BayCEER), Groningen Institute of Archaeology (GIA), University of Groningen, Groningen, The Netherlands, Department of Biological Sciences, University of Tennessee, Knoxville, TN, USA, Rocky Mountain Biological Laboratory, Crested Butte, CO, USA, Département des Science, Université du Québec À Montréal, Montreal, QC, Canada, Department of Biogeography, University of Bayreuth, Bayreuth, Germany, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Laval, Quebec, QC, Canada, Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogota, Colombia, Fundación Natura, Bogota, Colombia, Environmental Change Institute, Laboratório de Estudos em Vegetação Campestre (LEVCamp), Programa de Pós-Graduação em Botânica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Freie Universität Berlin, Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany, Laboratório de Ecologia Funcional de Comunidades (LABEF), Departamento de Botânica, Universidade Federal do Paraná, Curitiba, Brazil, School of Informatics, Computing, and Cyber Systems (SICCS), Northern Arizona University [Flagstaff], Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany, ETH Zurich, Universitatstrasse 16, 8092 Zurich, Switzerland, University of Gothenburg (GU), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), School of Life Sciences, Arizona State University, Tempe, AZ, USA, USDA-ARS Rangeland Resources & Systems Research Unit, Fort Collins, CO, USA, Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, Ibagué, Colombia, Laboratory of Applied Physical Chemistry - ISOFYS (Gent, Belgium), School of Forest Resources and Conservation [Gainesville] (UF|IFAS|FFGS), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany, Department of Biological Sciences, Goethe Universität Frankfurt, Frankfurt am Main, Germany, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa, SAEON Fynbos Node, Claremont, South Africa, Pacific Northwest National Laboratory, College Park, MD, USA, University of Leicester, Department of Environmental Science, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands, Laboratório de Ecologia Vegetal (LEVEG), Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Archbold Biological Station’s Buck Island Ranch, FL, Lake Placid, USA, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA, University of Tasmania [Hobart, Australia] (UTAS), Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina, Universität Hohenheim, School of Geography, University of Nottingham, Nottingham, UK, Department of Geography and Geology, Kingston University, Kingston upon Thames, UK, Martin-Luther-Universität Halle Wittenberg (MLU), Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral (FICH-UNL), Santa Fe, Argentina, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), University of Toronto at Scarborough, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark, Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Bioscience, Aarhus University, Aarhus, Denmark, New Jersey Institute of Technology [Newark] (NJIT), University of Rostock, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), School of Biological Sciences, University of Aberdeen, Aberdeen, UK, Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, School of Civil and Environmental Engineering, Yonsei University, Seoul, Korea, Departamento de Botânica, SCB, UFPR – Federal University of Parana, Curitiba, Brazil, Centro Politécnico, Universidade Federal do Paraná, Curitiba, Brazil, Università degli Studi di Milano = University of Milan (UNIMI), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Centre of Excellence for Bioscurity Risk Analysis, The University of Melbourne, Melbourne, Vic., Australia, Centro de Investigaciones Biológicas (CSIC), Colgate University, Hamilton, NY, USA, School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy, University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Departamento de Geociencias y Medio Ambiente, Universidad Nacional de Colombia, Medellin, Colombia, Università degli studi di Parma = University of Parma (UNIPR), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Geography, King’s College London, London, UK, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Universidad de Costa Rica (UCR), University of Arizona, Institute of Arctic Biology, University of Alaska [Fairbanks] (UAF), Royal Botanic Gardens [Kew], Department of Biology [Fort Collins], Colorado State University [Fort Collins] (CSU), WSL Swiss Federal Research Institute, Birmensdorf, Switzerland, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada, CREA – Research Centre for Forestry and Wood, Arezzo, Italy, Western Sydney University, ungwon University, Goesan, Chungbuk, Korea, Department of Botany and Zoology [Brno] (SCI / MUNI), Faculty of Science [Brno] (SCI / MUNI), Masaryk University [Brno] (MUNI)-Masaryk University [Brno] (MUNI), University of Pisa - Università di Pisa, Department of Agriculture and Forest Engineering (EAGROF), University of Lleida, Lleida, Spain, Joint Research Unit CTFC – AGROTECNIO, Solsona, Spain, University of California Riverside, Riverside, CA, USA, Faculty of Environmental Sciences, University of Life Sciences Prague, Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), University of Cambridge [UK] (CAM), Systems Ecology, Department of Ecological Science, Vrije Universiteit, Amsterdam, The Netherlands, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia, Faculté de foresterie, de géographie et de géomatique, Université Laval, Quebec, QC, Canada, Jonah Ventures, Boulder, CO, USA, Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Centre for African Conservation Ecology, Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa, MTA Centre for Ecological Research [Tihany], Hungarian Academy of Sciences (MTA), University of Ljubljana, Santa Catarina State University, Lages, SC, Brazil, Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA, Eurac Research, Institute for Alpine Environment, Bozen-Bolzano, Italy, Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Komi Republic, Russia, University of Science – Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam, Graduate School of Agriculture, Kyoto University, Kyoto, Japan, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan, Swedish Species Information Centre, University of Pretoria [South Africa], Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany, Department of Terrestrial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands, Department Computational Landscape Ecology [UFZ Leipsig], Department Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany, Seoul National University [Seoul] (SNU), Institute of Temperate Forest Sciences (ISFORT), Ripon, QC, Canada, UQO, Department of Natural Sciences, Ripon, QC, Canada, Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Goethe-Universität Frankfurt am Main, University of Florida [Gainesville] (UF), The University of Western Australia (UWA), School of Biological Sciences, The University of Western Australia, Department of Biological Sciences, Macquarie University, Department of Botany and Molecular Evolution, Senckenberg Research Institute and Natural History Museum, Universität Wien, Karlstad University [Sweden], Ferdowsi University of Mashhad (FUM), Flathead Lake Biological Station, University of Montana, School of Sustainability, Arizona State University, Programa Nacional de Pós-Doutorado (PNPD), Programa de Pós Graduação em Ecologia, Institute of Biology, University of Campinas UNICAMP, Institute for Ecosystem Research/Geobotany, Kiel University, School of Geography, Earth and Environmental Sciences [Birmingham], University of Birmingham [Birmingham], Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona (UAB), FFCLRP-USP, Department of Biology [USA], University of Maryland [College Park], University of Maryland System-University of Maryland System, University of A Coruña (UDC), School of Physics [UNSW Sydney] (UNSW), University of New South Wales [Sydney] (UNSW), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Peking, Peking University [Beijing], Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Ordu University - Ordu Üniversitesi, Lanzhou University, Universidad del Tolima, Research Centre for Forestry and Wood, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Brazilian Agricultural Research Corporation (Embrapa), Universidade de São Paulo = University of São Paulo (USP), Centro Agronomico Tropical de Investigacion y Ensenanza (CATIE), Queensland University of Technology [Brisbane] (QUT), University of Sussex, Harvard University, Institute for Alpine Environment, European Academy of Bozen-Bolzano (EURAC), Étude et compréhension de la biodiversité (ECODIV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Laboratoire de Physique Atmosphérique et Planétaire (LPAP), Université de Liège, Université de Sherbrooke (UdeS), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, University of Manchester [Manchester], Universidade Estadual de Campinas = University of Campinas (UNICAMP), Macquarie University, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universidad Rey Juan Carlos [Madrid] (URJC), Universidad Nacional de la Patagonia Austral (UNPA), Universidade Regional de Blumenau (FURB), INIA-CIFOR, Southern Illinois University [Carbondale] (SIU), Center for Biodiversity Management, Instituto Federal de Educação Ciência e Tecnologia do Cearà, The Morton Arboretum, United States Department of Agriculture (USDA), Swiss Federal Institute of Technology, Aarhus University [Aarhus], Smithsonian Conservation Biology Institute, Centre Supérieur de la Recherche Scientifique (CSIC), Centre Supérieur de la Recherche Scientifique, Universidad del Rosario [Bogota], Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Université Paris Sud (Paris 11), Senckenberg Research Institutes and Natural History Museums, Universidad de Chile = University of Chile [Santiago] (UCHILE), Joint Global Change Research Institute, Pacific Northwest National Laboratory (PNNL)-University of Maryland [College Park], Smithsonian Tropical Research Institute, University of Liege, Université de Liège - Gembloux, Institut Pasteur de Shanghai, Académie des Sciences de Chine - Chinese Academy of Sciences (IPS-CAS), Réseau International des Instituts Pasteur (RIIP), University of Bristol [Bristol], University of the Witwatersrand [Johannesburg] (WITS), Norwegian University of Life Sciences (NMBU), Murdoch University, Carnegie Museum of Natural History [Pittsburgh], Transilvania University of Brasov, Martin-Luther-University Halle-Wittenberg, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Santa Catarina State University (UDESC), University Centre Myerscough, Kiel University, Florida International University [Miami] (FIU), Division of Plant Ststematic and Ecology, Biology department, Université Catholique de Louvain = Catholic University of Louvain (UCL), University of Applied Sciences of Weihenstephan, Four Peaks Environmental Science and Data Solutions, Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), Kochi University of Technology (KUT), University of Illinois [Chicago] (UIC), University of Illinois System, Universitat de Barcelona (UB), Kyoto University, Tyumen State University, Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, Universitat Politècnica de Catalunya [Barcelona] (UPC), Stanford University, University of Edinburgh, Polish Academy of Sciences (PAN), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Institute for Systematic Botany and Ecology, Universität Ulm - Ulm University [Ulm, Allemagne], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Universität Bayreuth, University of Copenhagen = Københavns Universitet (UCPH), Guangxi Normal University, University College of London [London] (UCL), Hobart - Tasmania 7001, University of Venda [South Africa] (UNIVEN), University of Melbourne, Philipps Universität Marburg = Philipps University of Marburg, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Natural Resource Operations and Rural Development, Humboldt State University (HSU), Charles University [Prague] (CU), Karlsruhe Institute of Technology (KIT), Samara National Research University, Institute of Plant Sciences, Forestry and Forest Products Research Institute (FFPRI), Kenyon College, University of Garmian, State University of New York (SUNY), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Universidad Nacional del Comahue [Neuquén] (UNCOMA), IT University of Copenhagen (ITU), Agricultural Research Organization, Landscape Ecology Group, University of Oldenburg, Western Carolina University, Xi'an Jiaotong-Liverpool University [Suzhou], Hokkaido University [Sapporo, Japan], Yokohama National University, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institut d Estudis Andorrans, Smithsonian Environmental Research Center (SERC), Humboldt University Of Berlin, University of California [Los Angeles] (UCLA), Department of Biodiversity, Macroecology and Biogeography, Yamagata University, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Université du Québec en Abitibi-Témiscamingue (UQAT), University of Saskatchewan [Saskatoon] (U of S), University of Natural Resources and Life Sciences, Institute of Mountain Risk Engineering - Vienna, Austria, University of Wyoming (UW), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Nelson Mandela University [Port Elizabeth], University of Wisconsin - Eau Claire, Naturalis Biodiversity Center [Leiden], Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Yangzhou University, Leipzig University, University Pablo de Olavide, Shanghai Jiao Tong University [Shanghai], Royal Botanical Gardens, Masaryk University [Brno] (MUNI), Department of Physiology, University of Debrecen Egyetem [Debrecen]-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Centre (CzechGlobe), Université du Québec à Trois-Rivières (UQTR), Natural Resources Institute Finland (LUKE), Universidade Federal de Alagoas = Federal University of Alagoas (UFAL), Lakehead University, Stockholm University, Universidad Nacional del Litoral [Santa Fe] (UNL), Universidade Federal do Paraná (UFPR), Bangor University, Universidad Autonoma del Estado de Morelos (UAEM), Manaaki Whenua – Landcare Research [Lincoln], Gorongosa National Park, Université de Montréal (UdeM), Tel Aviv University (TAU), University of Queensland [Brisbane], University of Wisconsin-Madison, University of Maine, Holden Arboretum, Hawkesbury Institute for he Environment, Laboratoire d'Ecologie Végétale et Biogéochimie, Université libre de Bruxelles (ULB), University of British Columbia (UBC), Research School of Biology, Universidade Federal de Pernambuco [Recife] (UFPE), School of Geosciences [Edinburgh], Ecology and Evolutionary Biology [Tucson] (EEB), University of Debrecen, Northern Forestry Centre, Canadian Forest Service - CFS (CANADA), University of Illinois at Urbana-Champaign [Urbana], Data61 [Canberra] (CSIRO), Australian National University (ANU)-Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Debrecen Egyetem [Debrecen], University of Vermont [Burlington], Fundação Zoobotânica do Rio Grande do Sul, University of Montana, Institut de RadioAstronomie Millimétrique (IRAM), Centre National de la Recherche Scientifique (CNRS), University of Freiburg [Freiburg], University of Hawaii, Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Oklahoma State University [Stillwater] (OSU), Osaka City University, Charles Darwin Research Station (CDRS), Charles Darwin Foundation, Los Alamos National Laboratory (LANL), Zhejiang Normal University, European Academy of Bolzano, Universidad Distrital Francisco Jose de Caldas [Bogota], University of Bayreuth, Institute of Biology of Komi Scientific Centre of the Ural Branch of the Russian Academy of Sciences, Russian Academy of Sciences [Moscow] (RAS), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Canberra, CEH, Department of Systems and Science, Graduate School of Informatics, Kyoto University-Kyoto University, Departamento de Telemática, Faculdade de Engenharia Elétrica e de Computação (DT/FEEC), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Moscow State University, Vrije Universiteit Amsterdam [Amsterdam] (VU), Meijo University, Institute of Ecology and Earth Sciences [Tartu], Astronomical Institute of the Czech Academy of Sciences (ASU / CAS), University of Nijmegen, University of New England (UNE), The James Hutton Institute, Democritus University of Thrace (DUTH), Institute of Ecology and Earth Sciences, University of Tartu, Spanish National Research Council (CSIC), Senckenberg Research Institute and Natural History Museum, University of Vienna [Vienna], Center for Desertification Research (CIDE), Universitat de València (UV), Universidad Autónoma de Madrid (UAM), Université de Jaén, National Institute for Research and Development in Forestry, Department of Plant Production (University of Milan), Tartu Observatory, Botanical Garden of the Samara University, Forschungszentrum Jülich GmbH, Tallinn University, Universität Regensburg (REGENSBURG), Universität Regensburg, School of Social Sciences [Cardiff], Cardiff University, Estonian University of Life Sciences (EMU), Sch Life Sci Weihenstephan, Arizona State University [Tempe] (ASU), Department of Forest Resources, University of Minnesota System-University of Minnesota System, Research Institute for Networks and Communications Engineering (RINCE), Dublin City University [Dublin] (DCU)-Science Foundation Ireland-Enterprise Ireland-Higher Education Authority-School of Electronic Engineering, Southwest University of Science and Technology [Mianyang] (SWUST), Universidade Federal do Acre (UFAC), Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Centre méditérannéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Mississippi State University [Mississippi], University of Southampton, Yale University [New Haven], Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), East Stroudsburg University, INDEHESA, Forestry School, Universidad de Extremadura - University of Extremadura (UEX), Institute of Physical Geography [Frankfurt am Main], Universität Zürich [Zürich] = University of Zurich (UZH), Lake Ecosystems Group [Lancaster, U.K.] (Centre for Ecology & Hydrology), Lancaster Environment Centre [Lancaster, U.K.], University of Valladolid, Norwegian Institute for Nature Research (NINA), Universidad Nacional de Colombia [Bogotà] (UNAL), Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA), Universidade de Coimbra [Coimbra], Algoma University, Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), University of Nottingham, UK (UON), University of Würzburg = Universität Würzburg, Agence Française de Sécurité Sanitaire des Aliments (AFSSA), Herencia, Kirstenbosch Research Centre, South African National Biodiversity Institute, Federal University of Pernambuco [Recife], Sharplex Services, University of Hohenheim, Komarov Botanical Institute RAS, Center for Sustainability Science, Hokkaido, Département de Biologie, University of Regina (UR), Technische Universität Ilmenau (TU ), Universidade de Lisboa = University of Lisbon (ULISBOA), Universidade Federal de Lavras = Federal University of Lavras (UFLA), Università degli Studi di Padova = University of Padua (Unipd), Gothenburg Global Biodiversity Centre, Department of Biology [Gainesville] (UF|Biology), Texas Tech University [Lubbock] (TTU), Florida Museum of Natural History [Gainesville], KU Leuven, Embrapa Recursos Genéticos e Biotecnologia [Brasília], Universiteit Leiden, University of California [Riverside] (UC Riverside), Pacific Northwest National Laboratory (PNNL), University of Natural Resources and Applied Life Sciences, Vienna, (BOKU) and Competence Centre Wood K plus, University of Novi Sad, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Slovak Academy of Sciences (SAS), Technical University in Zvolen (TUZVO), Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague (CZU), University of Aberdeen, University of Maryland System, Universität Innsbruck [Innsbruck], Estacion Experimental de Zonas Aridas, Hacettepe University = Hacettepe Üniversitesi, Centre for Forest Research (CFR), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Bioversity International [Montpellier], Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Department of Animal and Plant Sciences [Sheffield], University of Sheffield [Sheffield], The School for Field Studies, Quantum Optics and Laser Science, Blackett Laboratory, Blackett Laboratory, Imperial College London-Imperial College London, University of Delaware [Newark], Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Biodiversity and Ecosystem Services Research Group, Stellenbosch University, Czech University of Life Science, Aristotle University of Thessaloniki, Osaka Natural History Center, Ural State Forest Engineering University, University of New Hampshire (UNH), University of Calgary, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Hawkesbury Institute for the Environment [Richmond] (HIE), Computational & Applied Vegetation Ecology (CAVElab), Dept Forest & Water Management, Lab Forestry, Museu Paraense Emílio Goeldi, Federal University of Para - Universidade Federal do Pará - UFPA [Belém, Brazil] (UFPA), State Key Laboratory of Natural and Biomimetic Drugs, Fudan University [Shanghai], Department of Ecological Science [Amsterdam], Vrije Universiteit Brussel (VUB), Laboratoire de Biologie des Ligneux et des Grandes Cultures (LBLGC), Université d'Orléans (UO)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Biology, Free University of Bozen-Bolzano, Dpt Biological Sciences, Macquarie University, Duke University [Durham], IFP Energies nouvelles (IFPEN), Department of Primary Industries, Graduate School of Integrated Arts and Sciences, Hiroshima University, Université de Tsukuba = University of Tsukuba, SUNY College of Environmental Science and Forestry (SUNY-ESF), Biological Sciences Department (BIOLOGICAL SCIENCES DEPARTMENT), Nanjing University (NJU), National Taiwan University [Taiwan] (NTU), Zhejiang University, Beijing Forestry University, Institut National Polytechnique Félix Houphouët-Boigny, Universität Leipzig, Max Planck Fellow Program for Christian Wirth, the International Programme of Biodiversity Science (DIVERSITAS), the International Geosphere‐Biosphere Programme (IGBP), Future Earth, the French Foundation for Biodiversity Research (FRB), and GIS ‘Climat, Environnement et Société’ France, JENS KATTGE, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ELLEN L. FRY, UNIVERSITY OF LIÈGE, BELGIUM, NIKOLAOS M. FYLLAS, UNIVERSITY OF THE AEGEAN, GREECE, GERHARD BÖNISCH, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, SUSANNE TAUTENHAHN, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, JENA, GERMANY, GIJSBERT D. A. WERNER, UNIVERSITY OF OXFORD, OXFORD, UK, TUOMAS AAKALA, UNIVERSITY OF HELSINKI, FINLAND, MEHDI ABEDI, TARBIAT MODARES UNIVERSITY, IRAN, ALICIA T. R. ACOSTA, UNIVERSITY OF ROMA TRE, ITALY, GEORGE C. ADAMIDIS, UNIVERSITY OF BERN, SWITZERLAND, KAIRI ADAMSON, UNIVERSITY OF TARTU, ESTONIA, MASAHIRO AIBA, TOHOKU UNIVERSITY, JAPAN., CÉCILE H. ALBERT, AIX MARSEILLE UNIV, UNIV AVIGNON, FRANCE., JULIO M. ALCÁNTARA, UNIVERSIDAD DE JAÉN, SPAIN, CAROLINA ALCÁZAR C, Instituto Alexander Von Humboldt, Colombia., HAMADA ALI, SUEZ CANAL UNIVERSITY, EGYPT, BERNARD AMIAUD, UNIVERSITÉ DE LORRAINE, FRANCE., CHRISTIAN AMMER, UNIVERSITY OF GÖTTINGEN, GERMANY, MARIANO M. AMOROSO, UNIVERSIDAD NACIONAL DE RÍO NEGRO, ARGENTINA, MADHUR ANAND, UNIVERSITY OF GUELPH, CANADA., MARIJN BAUTERS, GHENT UNIVERSITY, BELGIUM., ERIKA BAZZATO, UNIVERSITY OF CAGLIARI, ITALY., MICHAEL BECKMANN, Helmholtz Centre for Environmental Research, Germany., HANS BEECKMAN, ROYAL MUSEUM FOR CENTRAL AFRICA, BELGIUM., CARL BEIERKUHNLEIN, UNIVERSITY OF BAYREUTH, GERMANY., RENEE BEKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., JOANA BERGMANN, FREIE UNIVERSITÄT BERLIN, GERMANY., MARCOS BERGMANN CARLUCCI, UFPC, LOGAN BERNER, NORTHERN ARIZONA UNIVERSITY, USA., MARKUS BERNHARDT-RÖMERMANN, FRIEDRICH SCHILLER UNIVERSITY JENA, GERMANY., CHRISTOF BIGLER, ETH ZURICH, SWITZERLAND., FEDERICO BRUMNICH, UNIVERSIDAD NACIONAL DEL LITORAL (FICH-UNL), ARGENTINA, HANS HENRIK BRUUN, UNIVERSITY OF COPENHAGEN, DENMARK, DAVID BRUY, UNIVERSITÉ DE MONTPELLIER, FRANCE, SERRA W. BUCHANAN, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, ROBERT BUITENWERF, AARHUS UNIVERSITY, DENMARK, DANIEL E. BUNKER, NEW JERSEY INSTITUTE OF TECHNOLOGY, USA, JANA BÜRGER, UNIVERSITY OF ROSTOCK, GERMANY, SABINA BURRASCANO, SAPIENZA UNIVERSITY OF ROME, ITALY, DAVID F. R. P. BURSLEM, UNIVERSITY OF ABERDEEN, UK, BRADLEY J. BUTTERFIELD, NORTHERN ARIZONA UNIVERSITY, USA, CHAEHO BYUN, YONSEI UNIVERSITY, KOREA, MARINA C. SCALON, UFP, MARCO CACCIANIGA, UNIVERSITÀ DEGLI STUDI DI MILANO, ITALY, MARC CADOTTE, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, MAXIME CAILLERET, AIX?MARSEILLE UNIVERSITY, FRANCE, JAMES CAMAC, THE UNIVERSITY OF MELBOURNE, AUSTRALIA, JESÚS JULIO CAMARERO, INSTITUTO PIRENAICO DE ECOLOGÍA (IPE?CSIC), SPAIN, COURTNEY CAMPANY, COLGATE UNIVERSITY, USA, GIANDIEGO CAMPETELLA, UNIVERSITY OF CAMERINO, ITALY, JUAN ANTONIO CAMPOS, UNIVERSITY OF THE BASQUE COUNTRY UPV/EHU, SPAIN, LAURA CANO-ARBOLEDA, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA, ROBERTO CANULLO, UNIVERSITY OF CAMERINO, ITALY, MICHELE CARBOGNANI, UNIVERSITY OF PARMA, ITALY, FABIO CARVALHO, LANCASTER UNIVERSITY, UK, BASTIEN CASTAGNEYROL, UNIV. BORDEAUX, FRANCE, JANE A. CATFORD, KING'S COLLEGE LONDON, UK, JEANNINE CAVENDER-BARES, UNIVERSITY OF MINNESOTA, USA, BRUNO E. L. CERABOLINI, UNIVERSITY OF INSUBRIA, ITALY, MARCO CERVELLINI, UNIVERSITY OF BOLOGNA, ITALY, EDUARDO CHACÓN-MADRIGAL, UNIVERSIDAD DE COSTA RICA, COSTA RICA, KENNETH CHAPIN, THE UNIVERSITY OF ARIZONA, USA, SAMANTHA DAWSON, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, AREND JACOBUS DE BEER, UNIVERSITY OF PRETORIA, SOUTH AFRICA, ANGEL DE FRUTOS, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH, GERMANY, LEANDRO DUARTE, UFRGS, EMILIE DUCOURET, UMR ECOFOG (AGROPARISTECH, CNRS, INRA, UNIVERSITÉ DES ANTILLES, UNIVERSITÉ DE LA GUYANE), FRANCE, STEFAN DULLINGER, UNIVERSITY OF VIENNA, AUSTRIA, DAN F. B. FLYNN, ARNOLD ARBORETUM OF HARVARD UNIVERSITY, USA, VERONIKA FONTANA, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, KYONG-SOOK CHUNG, JUNGWON UNIVERSITY, KOREA, MILAN CHYTRÝ, MASARYK UNIVERSITY, CZECH REPUBLIC, DANIELA CICCARELLI, UNIVERSITY OF PISA, ITALY, LLUÍS COLL, UNIVERSITY OF LLEIDA, SPAIN, COURTNEY G. COLLINS, UNIVERSITY OF CALIFORNIA RIVERSIDE, USA, LUISA CONTI, UNIVERSITY OF LIFE SCIENCES PRAGUE, CZECH REPUBLIC, DAVID COOMES, UNIVERSITY OF CAMBRIDGE, UK, JOHANNES H. C. CORNELISSEN, VRIJE UNIVERSITEIT, THE NETHERLANDS, WILLIAM K. CORNWELL, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, PIERMARIA CORONA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, MARIE COYEA, UNIVERSITÉ LAVAL, CANADA, JOSEPH CRAINE, JONAH VENTURES, USA, DYLAN CRAVEN, UNIVERSIDAD MAYOR, CHILE, JORIS P. G. M. CROMSIGT, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, SWEDEN, ANIKÓ CSECSERITS, MTA CENTRE FOR ECOLOGICAL RESEARCH, HUNGARY, KATARINA CUFAR, UNIVERSITY OF LJUBLJANA, SLOVENIA, MATTHIAS CUNTZ, UNIVERSITÉ DE LORRAINE, FRANCE, ANA CAROLINA DA SILVA, SANTA CATARINA STATE UNIVERSITY, BRAZIL, KYLA M. DAHLIN, MICHIGAN STATE UNIVERSITY, USA, MATTEO DAINESE, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, IGOR DALKE, INSTITUTE OF BIOLOGY OF KOMI SCIENCE CENTRE OF THE URAL BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES, RUSSIA, MICHELE DALLE FRATTE, UNIVERSITY OF INSUBRIA, ITALY, ANH TUAN DANG-LE, UNIVERSITY HO CHI MINH CITY, VIETNAM, JIRÍ DANIHELKA, MASARYK UNIVERSITY, CZECH REPUBLIC, MASAKO DANNOURA, KYOTO UNIVERSITY, JAPAN, JONATHAN R. DE LONG, NETHERLANDS INSTITUTE OF ECOLOGY, THE NETHERLANDS, BENJAMIN DECHANT, SEOUL NATIONAL UNIVERSITY, REPUBLIC OF KOREA, SYLVAIN DELAGRANGE, INSTITUTE OF TEMPERATE FOREST SCIENCES (ISFORT), CANADA, NICOLAS DELPIERRE, UNIVERSITY OF PARIS?SUD, FRANCE, GÉRALDINE DERROIRE, UNIVERSITÉ DES ANTILLES, FRANCE, ARILDO S. DIAS, UNIVERSITÄT FRANKFURT, GERMANY, MILTON HUGO DIAZ-TORIBIO, UNIVERSITY OF FLORIDA, USA, PANAYIOTIS G. DIMITRAKOPOULOS, UNIVERSITY OF THE AEGEAN, GREECE, MARK DOBROWOLSKI, THE UNIVERSITY OF WESTERN AUSTRALIA, AUSTRALIA, DANIEL DOKTOR, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH – UFZ, GERMANY, PAVEL DREVOJAN, MASARYK UNIVERSITY, CZECH REPUBLIC, NING DONG, MACQUARIE UNIVERSITY, AUSTRALIA, JOHN DRANSFIELD, ROYAL BOTANIC GARDENS KEW, UK, STEFAN DRESSLER, DEPARTMENT OF BOTANY AND MOLECULAR EVOLUTION, GERMANY, WALTER DURKA, GERMAN CENTER FOR INTEGRATIVE BIODIVERSITY RESEARCH (IDIV) HALLE?JENA?LEIPZIG, GERMANY, REMKO DUURSMA, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, OLGA DYMOVA, KOMI REPUBLIC, RUSSIA, E-VOJTKÓ, A., UNIVERSITY OF SOUTH BOHEMIA, CZECH REPUBLIC, ROLF LUTZ ECKSTEIN, KARLSTAD UNIVERSITY, SWEDEN, HAMID EJTEHADI, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, JAMES ELSER, UNIVERSITY OF MONTANA, USA, THAISE EMILIO, UNIVERSITY OF CAMPINAS UNICAMP, BRAZIL, KRISTINE ENGEMANN, AARHUS UNIVERSITY, DENMARK, MOHAMMAD BAGHER ERFANIAN, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, ALEXANDRA ERFMEIER, KIEL UNIVERSITY, KIEL, GERMANY, ADRIANE ESQUIVEL-MUELBERT, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, GERD ESSER, JUSTUS LIEBIG UNIVERSITY, GERMANY, MARC ESTIARTE, SPANISH NATIONAL RESEARCH COUNCIL – CSIC, SPAIN, TOMAS F. DOMINGUES, DEPARTMENT OF BIOLOGY – FFCLRP/USP, BRAZIL, WILLIAM F. FAGAN, UNIVERSITY OF MARYLAND, USA, JAIME FAGÚNDEZ, UNIVERSITY OF A CORUÑA, SPAIN, DANIEL S. FALSTER, EVOLUTION & ECOLOGY RESEARCH CENTRE, AUSTRALIA, YING FAN, RUTGERS UNIVERSITY, USA, JINGYUN FANG, PEKING UNIVERSITY, CHINA, EMMANUELE FARRIS, UNIVERSITY OF SASSARI, ITALY, FATIH FAZLIOGLU, ORDU UNIVERSITY, TURKEY, YANHAO FENG, LANZHOU UNIVERSITY, CHINA, FERNANDO FERNANDEZ-MENDEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA, CARLOTTA FERRARA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, JOICE NUNES FERREIRA, CPATU, ALESSANDRA FIDELIS, (UNESP), RIO CLARO, BRAZIL, BRYAN FINEGAN, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, JENNIFER FIRN, QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT), AUSTRALIA, TIMOTHY J. FLOWERS, UNIVERSITY OF SUSSEX, UK, ESTELLE FOREY, UNIVERSITÉ DE ROUEN, FRANCE, CRISTIANE FORGIARINI, UFRGS, BRAZIL., LOUIS FRANÇOIS, UNIVERSITY OF LIÈGE, BELGIUM., MARCELO FRANGIPANI, UFRGS, BRAZIL, DOROTHEA FRANK, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, CEDRIC FRENETTE-DUSSAULT, GÉOPOLE DE L'UNIVERSITÉ DE SHERBROOKE, CANADA, GRÉGOIRE T. FRESCHET, PAUL SABATIER UNIVERSITY TOULOUSE, FRANCE, PAUL LEADLEY, UNIVERSITY OF PARIS-SUD, UNIVERSITÉ PARIS-SACLAY, ORSAY, FRANCE, IZABELA ALEIXO, NATIONAL INSTITUTE OF AMAZONIAN RESEARCH (INPA), BRAZIL, SANDRA DÍAZ, UNIVERSIDAD NACIONAL DE CÓRDOBA, ARGENTINA, SANDRA LAVOREL, UNIV. SAVOIE MONT BLANC, LECA, GRENOBLE, FRANCE, IAIN COLIN PRENTICE, IMPERIAL COLLEGE, UK., CAROLYN ANDERSON, UNIVERSITY OF MASSACHUSETTS AMHERST, USA, NIELS ANTEN, WAGENINGEN UNIVERSITY, THE NETHERLANDS, JOSEPH ANTOS, UNIVERSITY OF VICTORIA, CANADA, DEBORAH MATTOS GUIMARÃES APGAUA, JAMES COOK UNIVERSITY, AUSTRALIA, TIA-LYNN ASHMAN, UNIVERSITY OF PITTSBURGH, USA, DEGI HARJA ASMARA, UNIVERSITÉ LAVAL, CANADA, GREGORY P. ASNER, ARIZONA STATE UNIVERSITY, USA., MICHAEL ASPINWALL, UNIVERSITY OF NORTH FLORIDA, USA., OWEN ATKIN, AUSTRALIAN NATIONAL UNIVERSITY, AUSTRALIA., ISABELLE AUBIN, NATURAL RESOURCES CANADA, LARS BAASTRUP-SPOHR, UNIVERSITY OF COPENHAGEN, DENMARK., KHADIJEH BAHALKEH, TARBIAT MODARES UNIVERSITY, IRAN., MICHAEL BAHN, UNIVERSITY OF INNSBRUCK, AUSTRIA., TIMOTHY BAKER, UNIVERSITY OF LEEDS, LEEDS, UK., WILLIAM J. BAKER, ROYAL BOTANIC GARDENS KEW, UK., JAN P. BAKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., DENNIS BALDOCCHI, UNIVERSITY OF CALIFORNIA BERKELEY, USA., JENNIFER BALTZER, WILFRID LAURIER UNIVERSITY, CANADA, ARINDAM BANERJEE, UNIVERSITY OF MINNESOTA, USA., ANNE BARANGER, AGROPARISTECH, FRANCE., JOS BARLOW, LANCASTER UNIVERSITY, UK., DIEGO R. BARNECHE, UNIVERSITY OF EXETER, UK., ZDRAVKO BARUCH, THE UNIVERSITY OF ADELAIDE, AUSTRALIA., DENIS BASTIANELLI, UNIV MONTPELLIER, FRANCE., JOHN BATTLES, UNIVERSITY OF CALIFORNIA AT BERKELEY, USA, WILLIAM BAUERLE, COLORADO STATE UNIVERSITY, USA, SOLVEIG FRANZISKA BUCHER, FRIEDRICH?SCHILLER?UNIVERSITÄT JENA, GERMANY, GAVIN BELFRY, UNIVERSITY OF TENNESSEE, USA., MICHAEL BELLUAU, UNIVERSITÉ DU QUÉBEC À MONTRÉAL, CANADA., MIRELA BELOIU, UNIVERSITY OF BAYREUTH, GERMANY., RAQUEL BENAVIDES, MUSEO NACIONAL DE CIENCIAS NATURALES-CSIC, SPAIN., LAHCEN BENOMAR, UNIVERSITÉ LAVAL, CANADA., MARY LEE BERDUGO-LATTKE, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA., ERIKA BERENGUER, UNIVERSITY OF OXFORD, UK., RODRIGO BERGAMIN, UFRS, NINA BUCHMANN, ETH ZURICH, ZURICH, SWITZERLAND, ANNE D. BJORKMAN, UNIVERSITY OF GOTHENBURG, SWEDEN., CHRIS BLACKMAN, UNIVERSITÉ CLERMONT-AUVERGNE, FRANCE., CAROLINA BLANCO, UFRGS, BENJAMIN BLONDER, ARIZONA STATE UNIVERSITY, USA., DANA BLUMENTHAL, USDA-ARS RANGELAND RESOURCES & SYSTEMS RESEARCH UNIT, USA., KELLY T. BOCANEGRA-GONZÁLEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA., PASCAL BOECKX, GHENT UNIVERSITY, BELGIUM., STEPHANIE BOHLMAN, UNIVERSITY OF FLORIDA, USA., KATRIN BÖHNING-GAESE, UNIVERSITÄT FRANKFURT, GERMANY., LAURA BOISVERT-MARSH, UNIVERSITÄT FRANKFURT, GERMANY., WILLIAM BOND, UNIVERSITY OF CAPE TOWN, SOUTH AFRICA., BEN BOND-LAMBERTY, COLLEGE PARK, USA., ARNOUD BOOM, UNIVERSITY OF LEICESTER, UK., COLINE C. F. BOONMAN, RADBOUD UNIVERSITY, THE NETHERLANDS., KAUANE BORDIN, UFRGS, ELIZABETH H. BOUGHTON, ARCHBOLD BIOLOGICAL STATION'S BUCK ISLAND RANCH, USA., VANESSA BOUKILI, UNIVERSITY OF CONNECTICUT, USA, DAVID M. J. S. BOWMAN, UNIVERSITY OF TASMANIA, AUSTRALIA., SANDRA BRAVO, UNIVERSIDAD NACIONAL DE SANTIAGO DEL ESTERO, MARCO RICHARD BRENDEL, UNIVERSITY OF HOHENHEIM, MARTIN R. BROADLEY, UNIVERSITY OF NOTTINGHAM, UK, KERRY A. BROWN, KINGSTON UNIVERSITY, UK., HELGE BRUELHEIDE, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, FERNANDO CASANOVES, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, F. STUART CHAPIN, UNIVERSITY OF ALASKA FAIRBANKS, USA, STEFANO CHELLI, UNIVERSITY OF CAMERINO, ITALY, SI?CHONG CHEN, ROYAL BOTANIC GARDENS, UK, ANPING CHEN, COLORADO STATE UNIVERSITY, USA, PAOLO CHERUBINI, UNIVERSITY OF BRITISH COLUMBIA, CANADA, FRANCESCO CHIANUCCI, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, BRENDAN CHOAT, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, GUILHERME G. MAZZOCHINI, UNIVERSITY OF CAMPINAS, CAMPINAS, BRAZIL, SOPHIE GACHET, UNIV AVIGNON, FRANCE, RACHAEL GALLAGHER, MACQUARIE UNIVERSITY, AUSTRALIA, GISLENE GANADE, UFRN, BRAZIL., MARY-CLAIRE GLASENHARDT, THE MORTON ARBORETUM, USA, ALAIN HAMBUCKERS, UNIVERSITY OF LIÈGE, BELGIUM, MASAE ISHIHARA, KYOTO UNIVERSITY, JAPAN, LEONID IVANOV, TYUMEN STATE UNIVERSITY, RUSSIA, LARISSA IVANOVA, TYUMEN STATE UNIVERSITY, RUSSIA., COLLEEN M. IVERSEN, OAK RIDGE NATIONAL LABORATORY, USA, JORDI IZQUIERDO, Universitat Politècnica de Catalunya, Spain, ROBERT B. JACKSON, STANFORD UNIVERSITY, USA, FRANCESCA GANGA, UNIVERSITY OF CAGLIARI, ITALY, PABLO GARCÍA-PALACIOS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, VERÓNICA GARGAGLIONE, UNIVERSIDAD NACIONAL DE LA PATAGONIA AUSTRAL, ARGENTINA, ERIC GARNIER, UNIV. MONTPELLIER, FRANCE, JOSE LUIS GARRIDO, ESTACIÓN EXPERIMENTAL DEL ZAIDÍN, SPAIN, ANDRÉ LUÍS DE GASPER, UNIVERSIDADE REGIONAL DE BLUMENAU, BRAZIL, GUILLERMO GEAIZQUIERDO, INIA?CIFOR, SPAIN, DAVID GIBSON, SOUTHERN ILLINOIS UNIVERSITY CARBONDALE, USA, ANDREW N. GILLISON, CENTER FOR BIODIVERSITY MANAGEMENT, AUSTRALIA, AELTON GIROLDO, INSTITUTO FEDERAL DE EDUCAÇÃO CIÊNCIA E TECNOLOGIA DO CEARÁ, BRAZIL, SEAN GLEASON, WATER MANAGEMENT AND SYSTEMS RESEARCH UNIT, USA, MARIANA GLIESCH, INSTITUTE OF INTEGRATIVE BIOLOGY, SWITZERLAND, EMMA GOLDBERG, UNIVERSITY OF MINNESOTA, USA, BASTIAN GÖLDEL, AARHUS UNIVERSITY, DENMARK, ERIKA GONZALEZ-AKRE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, JOSE L. GONZALEZ-ANDUJAR, CSIC-INSTITUTE FOR SUSTAINABLE AGRICULTURE (IAS), SPAIN, ANDRÉS GONZÁLEZ-MELO, UNIVERSIDAD DEL ROSARIO, COLOMBIA, ANA GONZÁLEZ-ROBLES, UNIVERSIDAD DE JAÉN, SPAIN, BENTE JESSEN GRAAE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, ELENA GRANDA, UNIVERSITY OF ALCALÁ, SPAIN, SARAH GRAVES, UNIVERSITY OF FLORIDA, USA, WALTON A. GREEN, HARVARD UNIVERSITY, USA, THOMAS GREGOR, SENCKENBERG RESEARCH INSTITUTE AND NATURAL HISTORY MUSEUM, GERMANY, NICOLAS GROSS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, GREG R. GUERIN, THE UNIVERSITY OF ADELAIDE, AUSTRALIA, ANGELA GÜNTHER, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ALVARO G. GUTIÉRREZ, UNIVERSIDAD DE CHILE, CHILE, LILLIE HADDOCK, COLLEGE PARK, USA, ANNA HAINES, THE UNIVERSITY OF MANCHESTER, UK, JEFFERSON HALL, SMITHSONIAN TROPICAL RESEARCH INSTITUTE, REPUBLIC OF PANAMA, WENXUAN HAN, CHINA AGRICULTURAL UNIVERSITY, CHINA, SANDY P. HARRISON, UNIVERSITY OF READING, UK, WESLEY HATTINGH, UNIVERSITY OF THE WITWATERSRAND, SOUTH AFRICA, JOSEPH E. HAWES, ANGLIA RUSKIN UNIVERSITY, UK, TIANHUA HE, CURTIN UNIVERSITY, AUSTRALIA, PENGCHENG HE, CHINESE ACADEMY OF SCIENCES, CHINA, JACOB MASON HEBERLING, CARNEGIE MUSEUM OF NATURAL HISTORY, USA, AVELIINA HELM, UNIVERSITY OF TARTU, ESTONIA, STEFAN HEMPEL, FREIE UNIVERSITÄT BERLIN, GERMANY, JÖRN HENTSCHEL, FRIEDRICH-SCHILLER-UNIVERSITÄT JENA, GERMANY, BRUNO HÉRAULT, UNIVERSITÉ DE MONTPELLIER, FRANCE, ANA-MARIA HERE, TRANSILVANIA UNIVERSITY OF BRASOV, ROMANIA, KATHARINA HERZ, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, MYRIAM HEUERTZ, UNIV. BORDEAUX, FRANCE, THOMAS HICKLER, GOETHE UNIVERSITY, GERMANY, PETER HIETZ, UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES, AUSTRIA, PEDRO HIGUCHI, SANTA CATARINA STATE UNIVERSITY, BRAZIL, ANDREW L. HIPP, THE MORTON ARBORETUM, USA, ANDREW HIRONS, UNIVERSITY CENTRE MYERSCOUGH, UK, MARIA HOCK, INSTITUTE FOR ECOSYSTEM RESEARCH/GEOBOTANY, GERMANY, JAMES AARON HOGAN, FLORIDA INTERNATIONAL UNIVERSITY, USA, KAREN HOLL, UNIVERSITY OF CALIFORNIA, USA, OLIVIER HONNAY, PLANT CONSERVATION AND POPULATION BIOLOGY, BELGIUM, KNUT ANDERS HOVSTAD, DEPARTMENT OF LANDSCAPE AND BIODIVERSITY, NORWAY, TOMOAKI ICHIE, KOCHI UNIVERSITY, JAPAN, BORIS IGIC, UNIVERSITY OF ILLINOIS AT CHICAGO, USA, ESTELA ILLA, UNIVERSITAT DE BARCELONA, SPAIN, MARNEY ISAAC, UNIVERSITY OF TORONTO, CANADA, BENJAMIN JACKSON, UNIVERSITY OF EDINBURGH, SCOTLAND, HERVÉ JACTEL, UNIV. BORDEAUX, FRANCE, ANDRZEJ M. JAGODZINSKI, UNIVERSITY OF LIFE SCIENCES, POLAND, UTE JANDT, MARTIN LUTHER UNIVERSITY HALLE-WITTENBERG, GERMANY, STEVEN JANSEN, ULM UNIVERSITY, GERMANY, THOMAS, University of Oxford [Oxford], University of Helsinki, Tarbiat Modaras University, Roma Tre University, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre for Biodiversity and Sustainable Land-use, University of Göttingen, Göttingen, Germany, Department of Biology, University of North Florida, Jacksonville, FL, USA, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Department of Range Management, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran, University of Innsbruck, School of Geography, University of Leeds, Leeds, UK, Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, UK., School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of California at Berkeley, Berkeley, CA, USA, Department of Green Chemistry and Technology, Ghent University, Gent, Belgium, Department of Environment, Ghent University, Gent, Belgium, Department of Life and Environmental Sciences, Botany Division, University of Cagliari, Cagliari, Italy, Museo Nacional de Ciencias Naturales-CSIC, Madrid, Spain, Environmental Change Institute, University of Oxford, Oxford, UK, Institut für Biologie, Freie Universität Berlin, Berlin, Germany, Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Universiteit Gent = Ghent University [Belgium] (UGENT), School of Geography, Geology and Environment, University of Leicester, Leicester, UK, Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena- Leipzig, Leipzig, Germany, University of Toronto [Scarborough, Canada], Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy, Department of Plant Biology and Ecology, University of the Basque Country UPV/ EHU, Bilbao, Spain, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy, BIGEA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum – University of Bologna, Bologna, Italy, Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica, The University of Arizona, Tucson, AZ, USA, University of Alaska [Anchorage], Royal Botanic Gardens, Kew, Department of Biology, University of Pisa, Pisa, Italy, Department of Plant Sciences, University of Cambridge, Cambridge, UK, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa, Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, Republic of Korea, Department of Botany and Biodiversity Research, University of Vienna, Department of Environmental and Life Sciences – Biology, Karlstad University, Quantitative Plant Ecology and Biodiversity Research Laboratory, Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Justus Liebig University, Justus-Liebig-Universität Gießen (JLU), University of Sassari, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Universidade de São Paulo (USP), Harvard University [Cambridge], Federal University of Rio Grande do Sul, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Campinas [Campinas] (UNICAMP), University of Cagliari, Universidad de Chile, University of Natural Resources and Life Sciences (BOKU), University of California, Norwegian Institute of Bioeconomy Research (NIBIO), Kyoto University [Kyoto], Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), University of Copenhagen = Københavns Universitet (KU), University of Venda, Philipps University of Marburg, Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, State University of New York, Stonybrook, IT University of Copenhagen, Smithsonian Environmental Research Center, Humboldt University of Berlin, Georg-August-University [Göttingen], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Nelson Mandela Metropolitan University [Port Elizabeth, South Africa], Netherlands Centre for Biodiversity Naturalis, University of Leipzig [Leipzig, Allemagne], Unité d'Agronomie, University of Debrecen-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Institute, University of California [Berkeley], Natural resources institute Finland, Universita degli Studi di Cagliari [Cagliari], Tel Aviv University [Tel Aviv], Oklahoma State University [Stillwater], Kyoto University [Kyoto]-Kyoto University [Kyoto], Universidade Estadual de Campinas (UNICAMP), Universidad Nacional Autónoma de México (UNAM), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Universidad Autonoma de Madrid (UAM), University of Parma = Università degli studi di Parma [Parme, Italie], University of Milan, Forschungszentrum Juelich, Université Nice Sophia Antipolis (... - 2019) (UNS), U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), University of Extremadura, University of Göttingen - Georg-August-Universität Göttingen, Universidade de Lisboa (ULISBOA), Federal University of Lavras, Universita degli Studi di Padova, Leiden University, University of California [Riverside] (UCR), Ferdowsi University of Mashhad, Museo Nacional de Ciencias Naturales (MNCN), Departments of Botany and Zoology, Federal University of Para - Universidade Federal do Para [Belem - Brésil], Institut National de la Recherche Agronomique (INRA)-Université d'Orléans (UO), Institut national polytechnique Félix Houphouët-Boigny, Universität Leipzig [Leipzig], Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), and Factulad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Imperial College London, London SW7 2AZ, UK., Department of Zoology, University of Oxford, Oxford, UK, Balliol College, University of Oxford, Oxford, UK, University of Roma Tre, Rome, Italy, Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, Mytilene, Greece, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland, Tartu Observatory, University of Tartu, Tartumaa, Estonia, Graduate School of Life Sciences, Tohoku University, Sendai, Japan, Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Universidad de Jaén, Jaén, Spain, UMR Nancy-Université- INRA Agronomie et Environnement Nancy-Colmar, Nancy Université, Conicet-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina, Environmental Sciences, Guelph, University of Massachusetts Amherst, Amherst, MA, USA, Wageningen University and Research Center (WUR), University of Victoria, Victoria, BC, Canada, Department of Ecology, University of Innsbruck, Innsbruck, Austria, Department of Biological Sciences-Lancaster University, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Helmholtz Centre for Environmental Research (UFZ), School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA, Université Clermont Auvergne (UCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universiteit Gent [Ghent], School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA, University of Tasmania, Hobart, Tas., Australia, AMAP, IRD, Herbier de Nouvelle-Calédonie, Nouméa, New Caledonia, Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Friedrich-Schiller-Universität Jena, Jena, Germany, Università degli Studi di Roma 'La Sapienza' [Rome], wiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Tropical Agricultural Centre for Research and Higher Education (CATIE), Tropical Agricultural Centre for Research and Higher Education, Univ. Bordeaux, INRAE, BIOGECO, Cestas, France, Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA, Royal Botanic Gardens, Kew, West Sussex, UK, Department of Biology, Colorado State University, Fort Collins, CO, USA, Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia, Department of Botany and Zoology, Masaryk University, Brno, Czech Republic, Faculty of Environmental Sciences, University of Life Sciences Prague, Praha-Suchdol, Czech Republic, Institute of Botany, Czech Academy of Sciences, Třeboň, Czech Republic, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden, MTA Centre for Ecological Research, Tihany, Hungary, Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden, Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS)-Université de Guyane (UG)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of Florida [Gainesville], UFZ - Helmholtz Centre for Environmental Research, School of Geography, Earth and Environmental Sciences – University of Birmingham, Universitat Autònoma de Barcelona [Barcelona] (UAB), University of Ordu, Council for Agricultural Research and Economics (CREA), Université de Sherbrooke [Sherbrooke], Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), United States Department of Agriculture - USDA (USA), Smithsonian Institution, Carnegie Museum of Natural History, Friedrich-Schiller-Universität Jena, Biodiversité, Gènes et Communautés, Goethe-Universität Frankfurt am Main-Senckenberg Gesellschaft für Naturforschung, University of Natural Resources and Applied Life Sciences (BOKU), Florida International University (FIU), Université Catholique de Louvain (UCL), Stanford University [Stanford], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), University of Tasmania (UTAS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Charles University [Prague], Ghent University [Belgium] (UGENT), Helmholtz Zentrum für Umweltforschung (UFZ), Hokkaido University, Technical University of Munich (TUM), Wageningen University and Research Centre [Wageningen] (WUR), Georg-August-Universität Göttingen, Western Sydney University (UWS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada, Université de Sherbrooke, Masaryk University, Czech Academy of Sciences [Prague] (ASCR), Natural Resources Institute Finland, Landcare Research [Lincoln], Université de Montréal [Montréal], Université Libre de Bruxelles [Bruxelles] (ULB), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), French Institute of Pondicherry (IFP), Normal Zhejiang University, Estonian University of Life Sciences, Institute of Biology Bucharest, Romanian Academy, VU University Amsterdam, Astronomical Institute of the Czech Academy of Sciences, Technische Universität München [München] (TUM), University of Parma, Cardiff School of Social Sciences, University of Cardiff, University of Minnesota [Twin Cities], Manaaki Whenua Landcare Research, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Brookhaven National Laboratory [Upton] (BNL), Stony Brook University [SUNY] (SBU), University of Zürich [Zürich] (UZH), Algoma University [Canada], University of Goettingen, University of Wuerzburg, University of Würzburg, AFSSA, Sherbrooke University, University of Lisbon, Department of Biology (University of Florida), Florida Museum of Natural History, Technical University in Zvolen, University of Zvolen, Fac Forestry & Wood Sci, Université du Québec à Montréal (UQAM), Bioversity International, Consultative Group on International Agricultural Research [CGIAR], Université Clermont Auvergne (UCA), Vrije Universiteit [Brussels] (VUB), University of Tsukuba, Kattge, Jen, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D A, Aakala, Tuoma, Abedi, Mehdi, Acosta, Alicia Teresa Rosario, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niel, Antos, Joseph, Apgaua, Deborah Mattos Guimarãe, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lar, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Denni, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jo, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Deni, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Han, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marco, Berner, Logan, Bernhardt-Römermann, Marku, Bigler, Christof, Bjorkman, Anne D, Blackman, Chri, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C F, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David M J S, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, Bürger, Jana, Burrascano, Sabina, Burslem, David F R P, Butterfield, Bradley J, Byun, Chaeho, Marques, Marcia, Scalon, Marina C, Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, Jame, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A, Cavender-Bares, Jeannine, Cerabolini, Bruno E L, Cervellini, Marco, Chacón-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F Stuart, Chelli, Stefano, Chen, Si-Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong-Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluí, Collins, Courtney G, Conti, Luisa, Coomes, David, Cornelissen, Johannes H C, Cornwell, William K, Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P G M, Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthia, da Silva, Ana Carolina, Dahlin, Kyla M, Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang-Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, de Beer, Arend Jacobu, De Frutos, Angel, De Long, Jonathan R, Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicola, Derroire, Géraldine, Dias, Arildo S, Diaz-Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G, Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E-Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, Jame, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel-Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F, Fagan, William F, Fagúndez, Jaime, Falster, Daniel S, Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez-Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J, Flynn, Dan F B, Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Loui, Frangipani, Marcelo, Frank, Dorothea, Frenette-Dussault, Cedric, Freschet, Grégoire T, Fry, Ellen L, Fyllas, Nikolaos M, Mazzochini, Guilherme G, Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García-Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Lui, de Gasper, André Luí, Gea-Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N, Giroldo, Aelton, Glasenhardt, Mary-Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez-Akre, Erika, Gonzalez-Andujar, Jose L, González-Melo, André, González-Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A, Gregor, Thoma, Gross, Nicola, Guerin, Greg R, Günther, Angela, Gutiérrez, Alvaro G, Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P, Hattingh, Wesley, Hawes, Joseph E, He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana-Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thoma, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L, Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough-Snee, Nate, Hovstad, Knut Ander, Ichie, Tomoaki, Igić, Bori, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M, Izquierdo, Jordi, Jackson, Robert B, Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M, Jandt, Ute, Jansen, Steven, Jenkins, Thoma, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo-Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J, Joly, Carlos Alfredo, Jordan, Gregory J, Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R, Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I, Kinlock, Nicole L, Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thoma, Kjøller, Rasmu, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M H, Kohyama, Takashi, Koike, Fumito, Kollmann, Johanne, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J B, Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jona, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J, Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, le Maire, Guerric, le Roux, Peter C, le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L, Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W, Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlo, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López-García, Álvaro, Lopez-Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A, Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mende, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Viniciu, Marcon, Eric, Marignani, Michela, Markesteijn, Lar, Martin, Adam, Martínez-Garza, Cristina, Martínez-Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, Mccarthy, Jame, Mccormack, M Luke, Mcculloh, Katherine, Mcfadden, Ian R, Mcgill, Brian J, Mcpartland, Mara Y, Medeiros, Juliana S, Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P L, Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T, Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E D, Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T, Molnár, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A, Monty, Arnaud, Moravcová, Lenka, Moreno-Martínez, Alvaro, Moretti, Marco, Mori, Akira S, Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D, Müller, Sandra Cristina, Munoz, Françoi, Myers-Smith, Isla H, Myster, Randall W, Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S, Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly-Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E, Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E, Ordonez, Jenny C, Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E, Ozinga, Wim A, Pahl, Anna T, Paine, C E Timothy, Pakeman, Robin J, Papageorgiou, Aristotelis C, Parfionova, Evgeniya, Pärtel, Meeli, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G, Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Lui, Petisco-Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L, Pierce, Simon, Pillar, Valério D, Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A Shafer, Power, Sally A, Prinzing, Andrea, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johanne, Ray, Courtenay A, Reich, Peter B, Reichstein, Marku, Reid, Douglas E B, Réjou-Méchain, Maxime, de Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C, Riviera, Fiamma, Robert, Elisabeth M R, Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Viniciu, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A, Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B, Royer-Tardif, Samuel, Rüger, Nadja, Ruiz-Peinado, Ricardo, Rumpf, Sabine B, Rusch, Graciela M, Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado-Negret, Beatriz, Salguero-Gomez, Roberto, Santa-Regina, Ignacio, Santacruz-García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer-Lorenzen, Michael, Schleuning, Matthia, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V, Schowanek, Simon D, Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C, Sharpe, Joanne M, Sheppard, Christine S, Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlo, Silva, Vasco, Silva, Mateu, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G, Sodhi, Darwin, Soltis, Pamela, Soltis, Dougla, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski, Enio Egon, Soudzilovskaia, Nadejda A, Souza, Alexandre F, Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B, Stegen, Jame, Steinbauer, Klau, Stephan, Jörg G, Sterck, Frank, Stojanovic, Dejan B, Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens-Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, Te Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E, Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G, Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres-Ruiz, José M, Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L, Tsiripidis, Ioanni, Tysklind, Nikla, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, van Bodegom, Peter M, van Breugel, Michiel, Van Cleemput, Elisa, van de Weg, Martine, van der Merwe, Stephni, van der Plas, Fon, van der Sande, Masha T, van Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J, Verbeeck, Han, Verheyen, Kri, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P, Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, Jame, Weber, Ulrich, Weedon, James T, Wei, Liping, Weigelt, Patrick, 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University Toulouse, University of Manchester, Universidade Federal do Rio Grande do Norte – UFRN, Universidad Rey Juan Carlos, Universidad Nacional de La Patagonia Austral, Univ. Paul Valéry, Consejo Superior de Investigaciones Científicas, Universidade Regional de Blumenau, Southern Illinois University Carbondale, Instituto Federal de Educação Ciência e Tecnologia do Ceará, Agricultural Research Service, ETH Zürich (Swiss Federal Institute of Technology), CSIC – Institute for Sustainable Agriculture (IAS), Universidad del Rosario, Norwegian University of Science and Technology NTNU, University of Alcalá, UMR Ecosystème Prairial, The University of Manchester, China Agricultural University, Chinese Academy of Sciences, University of Reading, University of the Witwatersrand, Anglia Ruskin University, Norwegian University of Life Sciences, Curtin University, INP-HB, Scientific Campus of the University of the Basque Country, Goethe University, University of Natural Resources and Life Sciences, The Field Museum, Florida International University, US Department of Energy, Santa Cruz, Evolution and Biodiversity Conservation, Kochi University, University of Illinois at Chicago, Universitat de Barcelona, University of Toronto, Ural Branch of the Russian Academy of Sciences, Oak Ridge National Laboratory, Universitat Politècnica de Catalunya, Polish Academy of Sciences, Poznan University of Life Sciences, Ulm University, Guangxi University, Jl. Kebun Raya Cibodas, Philipps-University Marburg, University Salzburg, CIRAD, Humboldt State University, The Czech Academy of Sciences, Charles University, Karlsruhe Institute of Technology, Forestry and Forest Products Research Institute, State University of New York at Stony Brook, University of Amsterdam, CONICET, Universidad Nacional del Comahue, Weizmann Institute of Science, Helmholtz Centre for Environmental Research-UFZ, Xi'an Jiaotong Liverpool University, Technical University of Munich, Wageningen University & Research, Land Life Company, Coconut Research Institute of Sri Lanka, UMR Eco&Sols, University of Montpellier, Université du Québec en Abitibi-Témiscamingue, University of Saskatchewan, University of Natural Resources and Life Sciences Vienna, University of Wyoming, University of Wisconsin Eau Claire, Naturalis Biodiversity Center, University College London, Sun Yat-sen University, University of Leipzig, Shanghai Jiao Tong University, National Forestry and Grassland Administration, Universitat Autònoma de Barcelona, Wageningen University and Research, World Agroforestry (ICRAF), University of Jaén, DRI, Global Change Research Institute AS CR, Université du Québec à Trois-Rivières, Federal University of Alagoas, Bolin Centre for Climate Research, Universidad Autónoma del Estado de Morelos, Manaaki Whenua - Landcare Research, Institut de recherche en biologie végétale, Université de Montréal, Tel Aviv University, The University of Queensland, CSIRO, Manaaki Whenua – Landcare Research, Université Libre de Bruxelles, The Australian National University, The University of Edinburgh, Universidade Federal de Pernambuco (UFPE), ICREA, UEFP, University of Waterloo, Tulipan s/n, Vrije Universiteit Brussel, University of Illinois at Urbana-Champaign, University of Vermont, Centre for Northern Forest Ecosystem Research, Matieland, University of Freiburg, University of Hawai'i, Université Grenoble-Alpes, French Institute of Pondicherry, Oklahoma State University, Charles Darwin Research Station, University of Idaho, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Universidad Distrital Francisco José de Caldas, NORD University, NTNU, Gifu University, Romanian Academy, Tercer Circuito s/n de Ciudad Universitaria, Universidad Nacional Autónoma de México, Moscow Lomonosov State University, Universidad de las Américas, Wageningen Environmental Research, Technische Universität München, University of New England, Democritus University of Thrace, Universidad Austral de Chile, Desertification Research Center (CIDE-CSIC), Universidad Autónoma de Madrid, Instituto Nacional de Tecnología Agropecuaria (INTA), National Institute for Research-Development in Forestry, University of Regensburg, McGill University, Morton Arboretum, Université Rennes 1/CNRS, Université Paul Valéry, Southwest University of Science and Technology, Universitat de Lleida, Universidade Federal do Acre, Manaaki Whenua-Landcare Research, Centre for Ecological Research and Forestry Applications (CREAF), Royal Museum for Central-Africa (RMCA), Mississippi State University, Radboud University Nijmegen, Yale University, Brookhaven National Laboratory, Ciudad Universitaria, University of Zurich, Chastè Planta-Wildenberg, Centre for Ecology & Hydrology (CEH), Canadian Forest Service, University of Valladolid-INIA, University of Lausanne, Norwegian Institute for Nature Research, Oxford University, Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA-CSIC), Universidade de Coimbra, Senckenberg Biodiversität und Klima Forschungszentrum (SBiK-F), Palmengarten der Stadt Frankfurt am Main, Research Institute for Humanity and Nature, University of Regina, Technische Universität Ilmenau, Università degli Studi di Padova, Gothenburg Botanical Garden, Texas Tech University, Archbold Biological Station, Universidade Federal do Rio Grande do Norte, Slovak Academy of Sciences, Czech University of Life Sciences, Estación Experimental de Zonas Áridas (CSIC), CIRAD-UMR SELMET-PZZS, Hacettepe University, Utrecht University, Canadian Wood Fibre Centre, University of Sheffield, Silwood Park, MTA-DE Lendület Functional and Restoration Ecology Research Group, University of Delaware, UMR PIAF, MTA-TKI Biodiversity and Ecosystem Services Research Group, University of Illinois, Botanical Garden of Ural Branch of Russian Academy of Sciences, University of New Hampshire, National University of Singapore, Edinburgh University, Florida Institute of Technology, University of Konstanz, Taizhou University, University of Erlangen-Nuremberg, Universidad de Concepcion, Bulgarian Academy of Sciences, Museu Paraense Emilio Goeldi, Universidad de las Fuerzas Armadas (ESPE), Goa University, Pondicherry University, Carl von Ossietzky University of Oldenburg, Cambridge Conservation Initiative, Tsinghua University, Chinese Academy of Forestry, Fujian Normal University, Vrije Universiteit Amsterdam, Maritime and Science Technology Academy, University of Winnipeg, King Saud University, University of California – Irvine, U. S. Geological Survey, Duke University, NSW Department of Primary Industries, SUNY-College of Environmental Science and Forestry, Sorbonne-Université, Laboratório de Ecologia Vegetal (LEVEG), George Washington University, National Taiwan University, Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), University Oldenburg, and Biyoloji

Subjects
[SDE] Environmental Sciences, LIFE-HISTORY, Geography & travel, WOOD DENSITY, plant trait, Biodiversity & Conservation, 05 Environmental Sciences, Growth, 580 Plants (Botany), COMMUNITY COMPOSITION, ROOT TRAITS, Biologiska vetenskaper, Ecological modeling, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Biodiversity, Ecology, Plants, Access to Information, Ecosystem, data representativene, ddc:910, General Environmental Science, Global and Planetary Change, GLOBAL PATTERNS, food and beverages, LEAF PHOTOSYNTHETIC TRAITS, Biological Sciences, CAVElab, Data processing, ddc:580, [SDE]Environmental Sciences, Biodiversity Conservation, Life Sciences & Biomedicine, INCLINATION ANGLE DISTRIBUTION, Environmental Sciences & Ecology, Ecology and Environment, Database, LITTER DECOMPOSITION, ddc:570, Datenintegration, Environmental Chemistry, DDC 004 / Data processing & computer science, Intraspecific competition, Data integration (Computer science), Science & Technology, Biology and Life Sciences, Plant, 06 Biological Sciences, Environmental factor, Nutrient Network, Biology and Microbiology, FUNCTIONAL TRAITS, DDC 580 / Botanical sciences, Earth and Environmental Sciences, ddc:004, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Sciences, RELATIVE GROWTH-RATE
Abstract

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives., publishedVersion

Published
2020

39. Optimization of Fetal Biometry With 3D Ultrasound and Image Recognition (EPICEA): protocol for a prospective cross-sectional study

Author

Gabriela Hossu, Marine Beaumont, Claire Banasiak, Laurence Rouet, Gaëlle Ambroise Grandjean, Olivier Morel, Cybèle Ciofolo-Veit, Caroline Raynaud, Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Université de Lorraine (UL)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service d'Obstétrique et de Médecine fœtale [CHRU Nancy], Pôle de Gynécologie-Obstétrique et Reproduction, Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Université de Lorraine (UL), Centre d'Investigation Clinique - Innovation Technologique [Nancy] (CIC-IT), Centre d'investigation clinique [Nancy] (CIC), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), Philips Research, MedisysResearch Lab (Medisys), Philips Research-Philips Research, BIRKER, Juliette, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Université de Lorraine (UL)-Service d'Obstétrique et de Gynécologie [CHRU Nancy], and Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)

Subjects
[INFO.INFO-IM] Computer Science [cs]/Medical Imaging, fetal biometry, 030218 nuclear medicine & medical imaging, Fetal Development, 0302 clinical medicine, Pregnancy, Abdomen, Obstetrics and Gynaecology, Protocol, Fetal head, 3D ultrasound, Femur, Prospective Studies, Clinical Trials as Topic, 030219 obstetrics & reproductive medicine, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, medicine.diagnostic_test, ultrasound, General Medicine, Institutional review board, artificial intelligence, Female, medicine.medical_specialty, Biometry, Cephalometry, Interclass correlation, Context (language use), Gestational Age, [SDV.IB.MN]Life Sciences [q-bio]/Bioengineering/Nuclear medicine, Ultrasonography, Prenatal, [SDV.IB.MN] Life Sciences [q-bio]/Bioengineering/Nuclear medicine, 03 medical and health sciences, Fetus, Imaging, Three-Dimensional, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Medical physics, reproducibility, Protocol (science), Reproducibility, business.industry, Reproducibility of Results, Cross-Sectional Studies, Calipers, business, Head, Software, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

ContextVariability in 2D ultrasound (US) is related to the acquisition of planes of reference and the positioning of callipers and could be reduced in combining US volume acquisitions and anatomical structures recognition.ObjectivesThe primary objective is to assess the consistency between 3D measurements (automated and manual) extracted from a fetal US volume with standard 2D US measurements (I). Secondary objectives are to evaluate the feasibility of the use of software to obtain automated measurements of the fetal head, abdomen and femur from US acquisitions (II) and to assess the impact of automation on intraobserver and interobserver reproducibility (III).Methods and analysis225 fetuses will be measured at 16–30 weeks of gestation. For each fetus, six volumes (two for head, abdomen and thigh, respectively) will be prospectively acquired after performing standard 2D biometry measurements (head and abdominal circumference, femoral length). Each volume will be processed later by both a software and an operator to extract the reference planes and to perform the corresponding measurements. The different sets of measurements will be compared using Bland-Altman plots to assess the agreement between the different processes (I). The feasibility of using the software in clinical practice will be assessed through the failure rate of processing and the score of quality of measurements (II). Interclass correlation coefficients will be used to evaluate the intraobserver and interobserver reproducibility (III).Ethics and disseminationThe study and related consent forms were approved by an institutional review board (CPP SUD-EST 3) on 2 October 2018, under reference number 2018–033 B. The study has been registered inhttps://clinicaltrials.govregistry on 23 January 2019, under the numberNCT03812471. This study will enable an improved understanding and dissemination of the potential benefits of 3D automated measurements and is a prerequisite for the design of intention to treat randomised studies assessing their impact.Trial registration numberNCT03812471; Pre-results.

Published
2019

40. Assessing sampling coverage of species distribution in biodiversity databases

Author

Idoia Biurrun, Helge Bruelheide, Corrado Marcenò, Gunnar Seidler, Jonathan Lenoir, Jürgen Dengler, Valentin Golub, Vigdis Vandvik, Jesper Erenskjold Moeslund, John-Arvid Grytnes, Gunnar Austrheim, Ute Jandt, Solvita Rūsiņa, Aaron Pérez-Haase, Els De Bie, Miska Luoto, Juan Antonio Campos, Erik Welk, Milan Chytrý, Maria Sporbert, János Csiky, Andraž Čarni, Martin Jiroušek, Kiril Vassilev, Florian Jansen, Adrian Indreica, Petr Keil, Department of Geosciences and Geography, Helsinki Institute of Sustainability Science (HELSUS), BioGeoClimate Modelling Lab, Deutsche Forschungsgemeinschaft - German Research Foundation (DFG), Martin-Luther-Universität Halle Wittenberg (MLU), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, National Institute of Biology [Ljubljana] (NIB), Masaryk University [Brno] (MUNI), University of Pecs, Universität Bayreuth, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Thule Institute, University of Oulu, University of Bergen (UiB), and Institute of Biology, Geobotany and Botanical Garden

Subjects
0106 biological sciences, Chorological Database Halle (CDH), Range (biology), multi-scale, [SDE.MCG]Environmental Sciences/Global Changes, vegetation-plot databases, Species distribution, Plant Science, [SDV.BID]Life Sciences [q-bio]/Biodiversity, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, macro-ecology, 333: Bodenwirtschaft und Ressourcen, 577: Ökologie, Realized niche width, Macroecology, Ecological niche, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, spatial scale, Ecology, Database, Null model, vegetation plot databases, climatic niche, vascular plant, Sampling (statistics), species range, Vegetation, 15. Life on land, Dynamic Match Coefficient (DMC), sampling bias, Geography, realized niche, 1181 Ecology, evolutionary biology, macroecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, computer, 010606 plant biology & botany, European Vegetation Archive (EVA)
Abstract

Aim Biodiversity databases are valuable resources for understanding plant species distributions and dynamics, but they may insufficiently represent the actual geographic distribution and climatic niches of species. Here we propose and test a method to assess sampling coverage of species distribution in biodiversity databases in geographic and climatic space. Location Europe. Methods Using a test selection of 808,794 vegetation plots from the European Vegetation Archive (EVA), we assessed the sampling coverage of 564 European vascular plant species across both their geographic ranges and realized climatic niches. Range maps from the Chorological Database Halle (CDH) were used as background reference data to capture species geographic ranges and to derive species climatic niches. To quantify sampling coverage, we developed a box-counting method, the Dynamic Match Coefficient (DMC), which quantifies how much a set of occurrences of a given species matches with its geographic range or climatic niche. DMC is the area under the curve measuring the match between occurrence data and background reference (geographic range or climatic niche) across grids with variable resolution. High DMC values indicate good sampling coverage. We applied null models to compare observed DMC values with expectations from random distributions across species ranges and niches. Results Comparisons with null models showed that, for most species, actual distributions within EVA are deviating from null model expectations and are more clumped than expected in both geographic and climatic space. Despite high interspecific variation, we found a positive relationship in DMC values between geographic and climatic space, but sampling coverage was in general more random across geographic space. Conclusion Because DMC values are species-specific and most biodiversity databases are clearly biased in terms of sampling coverage of species occurrences, we recommend using DMC values as covariates in macroecological models that use species as the observation unit. This article is protected by copyright. All rights reserved.

Published
2019

41. Cardiac displacement tracking with data assimilation combining a biomechanical model and an automatic contour detection

Author

Gautier Bureau, Dominique Chapelle, Jürgen Weese, Jaroslav Tintera, Radomir Chabiniok, Alexandra Groth, Philippe Moireau, Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine (M3DISIM), Laboratoire de mécanique des solides (LMS), École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), King‘s College London, Philips Research [Germany], Philips Research, Institute for Clinical and Experimental Medicine (IKEM), Zemzemi, Nejib, Ozenne, Valéry, Vigmond, Edward, Coudière, Yves, École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris)

Subjects
Computational model, Computer science, business.industry, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, 0206 medical engineering, 02 engineering and technology, Tracking (particle physics), 020601 biomedical engineering, Biophysical heart modeling, cine MRI, Displacement (vector), Bottleneck, 030218 nuclear medicine & medical imaging, Term (time), Cine mri, 03 medical and health sciences, 0302 clinical medicine, Data assimilation, Computer vision, Artificial intelligence, business, [SDV.IB.BIO]Life Sciences [q-bio]/Bioengineering/Biomaterials, Cardiac imaging
Abstract

International audience; Data assimilation in computational models represents an essential step in building patient-specific simulations. This work aims at circumventing one major bottleneck in the practical use of data assimilation strategies in cardiac applications, namely, the difficulty of formulating and effectively computing adequate data-fitting term for cardiac imaging such as cine MRI. We here provide a proof-of-concept study of data assimilation based on automatic contour detection. The tissue motion simulated by the data assimilation framework is then assessed with displacements extracted from tagged MRI in six subjects, and the results illustrate the performance of the proposed method, including for circumferential displacements, which are not well extracted from cine MRI alone.

Published
2019

42. Left Ventricular Shape and Motion Reconstruction through a Healthy Model for Characterizing Remodeling after Infarction

Author

Mathieu De Craene, Eric Saloux, Nicolas Duchateau, Pascal Allain, Paolo Piro, Philips Research, MedisysResearch Lab (Medisys), Philips Research-Philips Research, Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Modeling & analysis for medical imaging and Diagnosis (MYRIAD), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Yves Coudière, Valéry Ozenne, Edward Vigmond, and Nejib Zemzemi

Subjects
Computer science, Quantitative Biology::Tissues and Organs, Physics::Medical Physics, Population, Motion (geometry), Infarction, 030218 nuclear medicine & medical imaging, Anatomical space, 03 medical and health sciences, Motion, 0302 clinical medicine, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Computer vision, education, education.field_of_study, Abnormality, Atlas (topology), business.industry, Dynamics (mechanics), Shape, medicine.disease, 3. Good health, medicine.anatomical_structure, Ventricle, Artificial intelligence, Affine transformation, business, Cardiac, 030217 neurology & neurosurgery
Abstract

International audience; We introduce a framework for the statistical characterization of heart remodeling from both shape and dynamics of the left ventricle. Shape was characterized by thickness and radius maps, unfolded in a two-dimensional dense Bull's eye. Motion was represented as a mixture of affine transformations in an anatomical space of coordinates. Using this representation, a population can be projected (after defining spa-tiotemporal correspondences) to an atlas space built for a given reference population-here, healthy subjects using a classic PCA approach-yielding a joint model of healthy shape and motion statistics. The reconstruction error on shape and motion can then be exploited to quantify remodeling abnormalities. We demonstrate these concepts on 48 healthy subjects and 62 patients with infarct (29 with one year follow-up) imaged with 3D echocardiography, analyzing a total of 139 sequences.

Published
2019

43. Image/Model Fusion for the Quantification of Mitral Regurgitation Severity

Author

This, Alexandre, Philips Research, MedisysResearch Lab (Medisys), Philips Research-Philips Research, COmputational Mathematics for bio-MEDIcal Applications (COMMEDIA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université, Jean-Frédéric Gerbeau, Miguel A. Fernández [Co-directeur de thèse], Hernán Morales [Co-encadrant industriel], Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)

Subjects
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Modeling, Hemodynamics, Personnalisation de modèle, Model personalization, Échographie, Echocardiography, Modélisation, Quantification, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Echographie, Régurgitation Mitrale, [MATH.MATH-NA]Mathematics [math]/Numerical Analysis [math.NA], Mitral regurgitation, Hémodynamique
Abstract

In order to ensure the proper functioning of the organs of the human body, a regular supply of nutrients and oxygen is necessary. This is ensured by the regular contraction of the heart, a major organ of the cardiovascular system. Periodically, the heart -- divided into four cavities -- fills with blood and then contracts to eject it toward the various organs of the body. The right atrium and right ventricle send the deoxygenated blood to the lungs while the left atrium and left ventricle send the oxygenated blood toward the rest of the body. Four passive valves prevent backward blood flow between the different heart cavities. As a result of certain cardiac diseases, these valves may not function properly, which can lead to a retrograde flow of blood. In the case of the mitral valve, located between the left ventricle and the left atrium, it is referred to as mitral regurgitation. The management of this disease is complex and may require extensive treatment such as valve replacement. It is therefore necessary to quantify the severity of mitral regurgitation in order to propose an appropriate treatment. A number of techniques have been developed to quantify the severity of mitral regurgitation. One example is the PISA (Proximal Isovelocity Surface Area) method; based on simplifying assumptions, this method estimates the size of the regurgitant orifice as well as the volume of regurgitated blood during a heartbeat from Color Doppler echocardiographic images. Despite its popularity, this method suffers from a number of shortcomings in terms of estimation accuracy and reproducibility. Recent developments in ultrasound imaging allow the acquisition of relevant data regarding cardiac hemodynamics and ventricular dynamics. On the other hand, the maturity of cardiac mathematical modeling makes it possible to simulate blood flow in a satisfactory way. In this context, it is assumed that combining echocardiographic images with digital models could help to improve the quantification of mitral regurgitation and therefore the quality of patient care. In the first part of this document, a 3D mathematical model of cardiac hemodynamics is developed. Particular attention is being paid to integrating a mitral regurgitation model that is both versatile and simple to use. Numerical examples are provided to assess the advantages and disadvantages of the proposed model. We will also take the opportunity to model the isovolumetric phases of the heart. A relatively accurate model of cardiac hemodynamics, but nevertheless reasonable in term of numerical complexity, is thus obtained at the end of this first part. The second part of this document describes the strategy adopted to allow the fusion of medical images with the numerical simulations. First, an automatic method allowing the personalization of the mathematical model developed in the first part of the manuscript, based on medical images, is presented. An echocardiographic image database is used to test the robustness of the method. The variability of this database is also used for the simulation of synthetic regurgitation, thus allowing a systematic evaluation of the PISA method. A second step is to evaluate how much the absence of a tangential component of wall movement, a component of movement difficult to obtain in echocardiography, can impact cardiac hemodynamics. Finally, as the methods presented are still too expensive from a numerical point of view, we conclude with the presentation of a blood flow reconstruction method combining Color Doppler images with physical constraints related to blood incompressibility. A quantitative assessment of the quality of this reconstruction is made possible by the use of the numerical simulations produced throughout this thesis.; Afin d'assurer le bon fonctionnement des organes du corps humain, un apport régulier en nutriment et en oxygène est nécessaire. Cet apport est assuré par la contraction régulière du c\oe{}ur, organe majeur du système cardiovasculaire. De manière périodique, le c\oe{}ur -- partitionné en quatre cavités -- se remplit de sang puis se contracte pour l'éjecter vers les différents organes du corps. L'oreillette droite et le ventricule droit permettent l'envoi le sang désoxygéné aux poumons, alors que l'oreillette gauche et le ventricule gauche envoient le sang oxygéné au reste du corps. Quatre valves passives permettent de prévenir les reflux de sang entre les différentes cavités cardiaques. En conséquence de certaines pathologies cardiaques, il arrive que ces valves ne fonctionnent pas correctement, pouvant entra\^iner un flux rétrograde de sang. Dans le cas de la valve mitrale, située entre le ventricule gauche et l'oreillette gauche, on parle de régurgitation mitrale. La prise en charge de cette maladie est complexe et peut nécessiter des traitements lourds tels que le remplacement de la valve. Il est donc nécessaire de quantifier au mieux la sévérité de la régurgitation mitrale pour proposer un traitement adapté. Diverses techniques ont été mises au point afin de quantifier la sévérité de la régurgitation mitrale. Par exemple, la méthode PISA (Proximal Isovelocity Surface Area), fondée sur des hypothèses simplificatrices, permet d'estimer la taille de l'orifice régurgitant ainsi que le volume de sang régurgité lors d'un battement cardiaque à partir d'images échocardiographiques Doppler. Malgré sa popularité, cette méthode souffre d'un certain nombre de défauts portant sur la précision de l'estimation et sur sa reproductibilité. Les développements récents en imagerie échographique permettent l'acquisition de données pertinentes en ce qui concerne l'hémodynamique cardiaque et la dynamique ventriculaire. D'autre part, la maturité de la modélisation numérique cardiaque permet de simuler les écoulements sanguins de manière satisfaisante. Dans ce contexte, il est fait l'hypothèse que combiner des images échocardiographique avec des modèles numériques pourrait aider à améliorer la quantification de la régurgitation mitrale et par conséquent la qualité de prise en charge des patients. Dans la première partie de cette thèse, un modèle numérique 3D de l'hémodynamique cardiaque est présenté. On s'attache notamment à y intégrer un modèle de régurgitation mitrale à la fois versatile et simple de mise en oeuvre. Des exemples numériques permettent d'apprécier les avantages et les inconvénients du modèle proposé. On en profitera également pour proposer un modèle permettant la modélisation des phases isovolumétriques du c\oe{}ur. Un modèle relativement précis de l'hémodynamique cardiaque, mais de complexité numérique raisonnable, est ainsi obtenu à l'issue de cette première partie. La seconde partie de cette thèse décrit la stratégie adoptée pour permettre la fusion de données provenant des images médicales avec des modèle numériques. Dans un premier temps, une méthode automatique permettant la personnalisation du modèle numérique développé dans la première partie du manuscrit, à partir d'images médicales, est présentée. Une base de donnée d'images échocardiographique est utilisée pour tester la robustesse de la méthode. Cette variabilité de cas est également utilisée pour la simulation de régurgitations synthétiques, permettant ainsi une évaluation systématique la méthode PISA. Une seconde étape consiste à évaluer à quel point l'absence de composante tangentielle du mouvement des parois, une composante du mouvement difficile à obtenir en échocardiographie, peut impacter l'hémodynamique cardiaque. Enfin, comme les méthodes présentées sont encore trop complexes d'un point de vue numérique, on termine la thèse avec la présentation d'une méthode de reconstruction du flux sanguin combinant des images Doppler Couleur à des contraintes physiques liées à l'incompressibilité du sang. Une évaluation quantitative de la qualité de cette reconstruction est permise par l'utilisation des simulations numériques produites tout au long de cette thèse.

Published
2019

44. Alpha diversity of vascular plants in European forests

Author

Valerijus Rašomavičius, Emiliano Agrillo, Jens-Christian Svenning, Marcela Řezníčková, Thomas Wohlgemuth, Grzegorz Swacha, Jonathan Lenoir, Roberto Venanzoni, Urban Šilc, Ilona Knollová, Joop H.J. Schaminée, Milan Chytrý, Wolfgang Willner, Adrian Indreica, Panayotis Dimopoulos, Federico Fernández-González, Kiril Vassilev, Mirjana Ćuk, Juan Antonio Campos, Andraž Čarni, Jean Claude Gégout, Jan Divíšek, Martin Večeřa, Idoia Biurrun, John S. Rodwell, Borja Jiménez-Alfaro, Ute Jandt, Florian Jansen, Guillermo Crespo Jiménez, Jörg Ewald, Zygmunt Kącki, Masaryk University [Brno] (MUNI), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), University of Oviedo, Department of Plant Biology and Ecology, University of the Basque Country UPV/ EHU, Bilbao, Spain, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], National Institute of Biology [Ljubljana] (NIB), University of Castilla-La Mancha (UCLM), University of Novi Sad, University of Patras [Patras], Institute for Molecular Systems Biology [ETH Zurich] (IMSB), Department of Biology [ETH Zürich] (D-BIOL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich)- Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), SILVA (SILVA), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Transilvania University of Brasov, Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Martin-Luther-University Halle-Wittenberg, University of Rostock, University of Wrocław [Poland] (UWr), Nature Research Centre [Vilnius], Centre for Ecosystem Studies, University of Wageningen, Wageningen University and Research [Wageningen] (WUR), Aarhus University [Aarhus], Bulgarian Academy of Sciences (BAS), Dept Appl Biol, Università degli Studi di Perugia (UNIPG), Vienna Institute for Nature Conservation and Analyses (VINCA), and Swiss Federal Institute for Forest, Snow and Landscape Research WSL

Subjects
0106 biological sciences, Random Forests, plant community, Bos- en Landschapsecologie, Biodiversity, 01 natural sciences, Vegetation-plot database, Forest and Landscape Ecology, vascular plants, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, 0303 health sciences, Diversity, Ecology, biology, European Vegetation Archive, Vegetation, PE&RC, Europe, Geography, Plantenecologie en Natuurbeheer, Forest vegetation, Vegetatie, Bos- en Landschapsecologie, species-richness patterns, Vascular plant, forest vegetation, Gamma diversity, [SDE.MCG]Environmental Sciences/Global Changes, Plant Ecology and Nature Conservation, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Plant community, 010603 evolutionary biology, diversity, 03 medical and health sciences, Species-richness patterns, Ecology, Evolution, Behavior and Systematics, Vegetatie, 030304 developmental biology, European Vegetation Archive (EVA), predictive modelling, vegetation-plot database, Vascular plants, Predictive modelling, Species diversity, 15. Life on land, biology.organism_classification, Alpha diversity, Vegetation, Forest and Landscape Ecology, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Aim The former continental‐scale studies modelled coarse‐grained plant species‐richness patterns (gamma diversity). Here we aim to refine this information for European forests by (a) modelling the number of vascular plant species that co‐occur in local communities (alpha diversity) within spatial units of 400 m2; and (b) assessing the factors likely determining the observed spatial patterns in alpha diversity. Location Europe roughly within 12°W–30°E and 35–60°N. Taxon Vascular plants. Methods The numbers of co‐occurring vascular plant species were counted in 73,134 georeferenced vegetation plots. Each plot was classified by an expert system into deciduous broadleaf, coniferous or sclerophyllous forest. Random Forest models were used to map and explain spatial patterns in alpha diversity for each forest type separately using 19 environmental, land‐use and historical variables. Results Our models explained from 51.0% to 70.9% of the variation in forest alpha diversity. The modelled alpha‐diversity pattern was dominated by a marked gradient from species‐poor north‐western to species‐rich south‐eastern Europe. The most prominent richness hotspots were identified in the Calcareous Alps and adjacent north‐western Dinarides, the Carpathian foothills in Romania and the Western Carpathians in Slovakia. Energy‐related factors, bedrock types and terrain ruggedness were identified as the main variables underlying the observed richness patterns. Alpha diversity increases especially with temperature seasonality in deciduous broadleaf forests, on limestone bedrock in coniferous forests and in areas with low annual actual evapotranspiration in sclerophyllous forests. Main conclusions We provide the first predictive maps and analyses of environmental factors driving the alpha diversity of vascular plants across European forests. Such information is important for the general understanding of European biodiversity. This study also demonstrates a high potential of vegetation‐plot databases as sources for robust estimation of the number of vascular plant species that co‐occur at fine spatial grains across large areas., M.V., J.D., I.K., M.Ř. and M.C. were supported by the Czech Science Foundation (Centre of Excellence Pladias; project no. 14–36079G). I.B. and J.A.C. were supported by the Basque Government (IT936‐16). B.J.‐A. was supported by the Marie Curie Clarín‐COFUND program of the Principate of Asturias and the European Union (ACB17‐26). J.‐C.S. considers this work a contribution to his VILLUM Investigator project “Biodiversity Dynamics in a Changing World” funded by VILLUM FONDEN (grant 16549) and his Danish Council for Independent Research | Natural Sciences TREECHANGE project (grant 6108‐00078B).

Published
2019

45. A pipeline for image based intracardiac CFD modeling and application to the evaluation of the PISA method

Author

Hernán G. Morales, Alexandre This, Miguel Angel Fernández, Odile Bonnefous, Jean-Frédéric Gerbeau, MedisysResearch Lab (Medisys), Philips Research, COmputational Mathematics for bio-MEDIcal Applications (COMMEDIA), Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jacques-Louis Lions (LJLL (UMR_7598)), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Inria Siège, Institut National de Recherche en Informatique et en Automatique (Inria), Funds were supported by a CIFRE Ph.D convention established between INRIA Paris and Philips Research, France, Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Numerical simulation of biological flows (REO), Sorbonne Université (SU)-Inria de Paris, and Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Computer science, Computational Mechanics, General Physics and Astronomy, Numerical simulation, 010103 numerical & computational mathematics, Computational fluid dynamics, 01 natural sciences, Intracardiac injection, Mitral valve, medicine, 0101 mathematics, Image resolution, Mitral regurgitation, Computer simulation, business.industry, Mechanical Engineering, valvular heart disease, [INFO.INFO-NA]Computer Science [cs]/Numerical Analysis [cs.NA], medicine.disease, Computer Science Applications, 010101 applied mathematics, medicine.anatomical_structure, Mechanics of Materials, Patient-specific, business, Algorithm, Image based
Abstract

International audience; Mitral regurgitation is one of the most prevalent valvular heart disease. Proper evaluation of its severity is necessary to choose appropriate treatment. The PISA method, based on Color Doppler echocardiography, is widely used in the clinical setting to estimate various relevant quantities related to the severity of the disease. In this paper, the use of a pipeline to quickly generate image-based numerical simulation of intracardiac hemodynamics is investigated. The pipeline capabilities are evaluated on a database of twelve volunteers. Full pre-processing is achieved completely automatically in 55 minutes, on average, with small registration errors compared to the image spatial resolution. This pipeline is then used to study the intracardiac hemodynamics in the presence of diseased mitral valve. A strong variability among the simulated cases, mainly due to the valve geometry and regurgitation specifics, is found. The results from those numerical simulations is used to assess the potential limitations of the PISA method with respect to different MR types. While the PISA method provides reasonable estimates in the case of a simple circular regurgitation, it is shown that unsatisfying estimates are obtained in the case of non-circular leakage. Moreover, it is shown that the choice of high aliasing velocities can lead to difficulties in quantifying MR.

Published
2020

46. Modelling the distribution and compositional variation of plant communities at the continental scale

Author

Daniel Dítě, Jonathan Lenoir, Xavier Font, Željko Škvorc, Milan Chytrý, Zygmunt Kącki, François Gillet, Joop H.J. Schaminée, Laura Casella, Stephan M. Hennekens, Michal Hájek, Emiliano Agrillo, Florian Jansen, Petra Hájková, Jozef Šibík, Susana Suárez-Seoane, Ute Jandt, John S. Rodwell, Jörg Brunet, Henry Brisse, Borja Jiménez-Alfaro, Ariel Bergamini, Wolfgang Willner, Jose Manuel Álvarez-Martínez, Ioannis Tsiripidis, Lucia Sekulová, Department of Botany and Zoology, Masaryk University, Area de Ecología, Departamento de Biodiversidad y Gestión Ambiental, Facultad de Ciencias Biológicas y Ambientales, Universidad de León [León], ALTERRA Wageningen, ALTERRA, Vienna Institute for Nature Conservation and Analyses ( VINCA ), Czech University of Life Sciences Prague, WSL Lausanne, WSL, Institut Méditerranéen d'Ecologie et de Paléoécologie ( IMEP ), Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Université d'Avignon et des Pays de Vaucluse ( UAPV ) -Centre National de la Recherche Scientifique ( CNRS ), Southern Swedish Forest Research Centre, Swedish University of Agricultural Sciences ( SLU ), Laboratoire Chrono-environnement ( LCE ), Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Botany & Zoology, Masaryk, Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés ( EDYSAN ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Picardie Jules Verne ( UPJV ), University of Nijmegen, Masaryk University [Brno] (MUNI), Vienna Institute for Nature Conservation and Analyses (VINCA), Instituto de Hidráulica Ambiental, Institut Méditerranéen d'Ecologie et de Paléoécologie (IMEP), Université Paul Cézanne - Aix-Marseille 3-Université de Provence - Aix-Marseille 1-Avignon Université (AU)-Centre National de la Recherche Scientifique (CNRS), Swedish University of Agricultural Sciences (SLU), Università degli Studi di Udine - University of Udine [Italie], Laboratory of Ecological Systems, Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire Chrono-environnement (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Department of Botany and Zoology [Brno] (SCI / MUNI), Faculty of Science [Brno] (SCI / MUNI), Masaryk University [Brno] (MUNI)-Masaryk University [Brno] (MUNI), Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Aristotle University of Thessaloniki, Universitat de Barcelona, Ecologia, Facultad de Ciencias Biologicas y Ambientales, Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Laboratoire Chrono-environnement - UFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Université Paul Cézanne - Aix-Marseille 3-Centre National de la Recherche Scientifique (CNRS)-Avignon Université (AU)-Université de Provence - Aix-Marseille 1, and Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE)

Subjects
0106 biological sciences, generalized dissimilarity modelling, Occupancy, extent of occurrence, [SDE.MCG]Environmental Sciences/Global Changes, habitat conservation, Bos- en Landschapsecologie, Extrapolation, Plant Ecology and Nature Conservation, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, 01 natural sciences, Geographical distance, vegetation, Forest and Landscape Ecology, Plant varieties, Ecology, Evolution, Behavior and Systematics, Vegetatie, ComputingMilieux_MISCELLANEOUS, Sampling bias, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Vegetation, Varietats de plantes, Ecology, 010604 marine biology & hydrobiology, community distribution models, Habitat conservation, Species diversity, Plant community, 15. Life on land, PE&RC, Ecología. Medio ambiente, plant communities, Habitat, community distribution models, ecosystem properties, extent of occurrence, generalized dissimilarity modelling, habitat conservation, plant communities, vegetation, Environmental science, ecosystem properties, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Physical geography, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

International audience; Aim. We investigate whether (1) environmental predictors allow to delineate the distribution of discrete community types at the continental scale and (2) how data completeness influences model generalization in relation to the compositional variation of the modelled entities. Location. Europe. Methods. We used comprehensive datasets of two community types of conservation concern in Europe: acidophilous beech forests and base‐rich fens. We computed community distribution models (CDMs) calibrated with environmental predictors to predict the occurrence of both community types, evaluating geographical transferability, interpolation and extrapolation under different scenarios of sampling bias. We used generalized dissimilarity modelling (GDM) to assess the role of geographical and environmental drivers in compositional variation within the predicted distributions. Results. For the two community types, CDMs computed for the whole study area provided good performance when evaluated by random cross‐validation and external validation. Geographical transferability provided lower but relatively good performance, while model extrapolation performed poorly when compared with interpolation. Generalized dissimilarity modelling showed a predominant effect of geographical distance on compositional variation, complemented with the environmental predictors that also influenced habitat suitability. Main conclusions. Correlative approaches typically used for modelling the distribution of individual species are also useful for delineating the potential area of occupancy of community types at the continental scale, when using consistent definitions of the modelled entity and high data completeness. The combination of CDMs with GDM further improves the understanding of diversity patterns of plant communities, providing spatially explicit information for mapping vegetation diversity and related habitat types at large scales.

Published
2018

47. Global trait–environment relationships of plant communities

Author

Esteban Álvarez-Dávila, Maurizio Mencuccini, Zhiyao Tang, Norbert Jürgens, Christopher Baraloto, Robert K. Peet, Jérôme Munzinger, Josep Peñuelas, Peter M. van Bodegom, Erwin Bergmeier, Wim A. Ozinga, Isabelle Aubin, Yadvinder Malhi, Michele De Sanctis, William Farfan-Rios, Marten Winter, Benjamin Blonder, Jordi Sardans, Christian Wirth, Valério D. Pillar, Nicole J. Fenton, Ilona Knollová, Jiří Doležal, Miguel D. Mahecha, Jens Kattge, Marijn Bauters, Zoltán Botta-Dukát, Francesco Maria Sabatini, Jonathan Lenoir, Peter B. Reich, Florian Jansen, Jorcely Barroso, Frédérique Louault, Anne D. Bjorkman, Alvaro G. Gutiérrez, Michael Kleyer, Matteo Dainese, Dylan Craven, Andraž Čarni, Anita K. Smyth, Gunnar Seidler, Idoia Biurrun, Ted R. Feldpausch, Javier Silva Espejo, Helge Bruelheide, Risto Virtanen, Tarek Hattab, Franziska Schrodt, Greg R. Guerin, Sandra Díaz, Anke Jentsch, Jürgen Dengler, Borja Jiménez-Alfaro, J. Hans C. Cornelissen, Kate H. Orwin, Bruno Hérault, Tomáš Černý, Stephan M. Hennekens, Erik Welk, Frederic Lens, Mohammed Abu Sayed Arfin Khan, Jacqueline Loos, Kiril Vassilev, Milan Chytrý, Jonas V. Müller, Christine Römermann, Sylvia Haider, Géraldine Derroire, Marcos Silveira, Greg H. R. Henry, Petr Petřík, Ülo Niinemets, Zygmunt Kącki, Isla H. Myers-Smith, Michael Kessler, Dirk Nikolaus Karger, Evan Weiher, Andrey Yu. Korolyuk, Richard Field, Raquel Thomas, Eric Garnier, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens-Christian Svenning, Corrado Marcenò, Aaron Pérez-Haase, Daniel C. Laughlin, Pedro Higuchi, Jürgen Homeier, Ute Jandt, Fabio Attorre, Karsten Wesche, Norbert Hölzel, Oliver L. Phillips, Ingolf Kühn, Marco Schmidt, Meelis Pärtel, David A. Neill, Maria Sporbert, Mariyana Lyubenova, Oliver Purschke, Arthur Vinicius Rodrigues, Ioannis Tsiripidis, Jan Altman, Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Universität Bayreuth, German Centre for Integrative Biodiversity Research (iDiv), UR Ecol & Dynam Syst Anthropises EDYSAN, UMR CNRS 7058, Université de Picardie Jules Verne (UPJV), Department of Botany and Zoology, Masaryk University, ALTERRA Wageningen, ALTERRA, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universiteit Leiden [Leiden], Fundación Con-Vida, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Acre (UFAC), Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, National Institute of Biology [Ljubljana], Universidad Rey Juan Carlos [Madrid] (URJC), Vrije Universiteit Amsterdam [Amsterdam] (VU), Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), AgroParisTech, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Westfälische Wilhelms-Universität Münster (WWU), Georg-August-Universität Göttingen, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Zurich, Landscape Ecology Group, University of Oldenburg, Helmholtz Zentrum für Umweltforschung (UFZ), Netherlands Centre for Biodiversity Naturalis, Institute of Ecology, Leuphana University, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Environmental Change Institute, University of Oxford [Oxford], School of Geosciences [Edinburgh], University of Edinburgh, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universidad Estatal Amazonica, Estonian University of Life Sciences, University of Nijmegen, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), Institute of Ecology and Earth Sciences, University of Tartu, University of Tartu, Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Universität Regensburg (REGENSBURG), Universität Regensburg, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Dept Biol Sci, Ecoinformat & Biodivers Grp, Aarhus University [Aarhus], Aristotle University of Thessaloniki, Dept Biol, University of Oulu, University of Wisconsin-Eau Claire, Department of Botany, Senckenberg Natural History Museum, Synthesis Centre for Biodiversity Sciences, German Centre for Integrative Biodiversity Research, Universität Leipzig [Leipzig], Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Masaryk University [Brno] (MUNI), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University [Göttingen], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universitat Autònoma de Barcelona (UAB), University of Minnesota [Twin Cities] (UMN), Martin-Luther-University Halle-Wittenberg, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Wageningen University and Research Centre [Wageningen] (WUR), Chercheur indépendant, Department of Ecological Modelling [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University (UWS), Bruelheide H., Dengler J., Purschke O., Lenoir J., Jimenez-Alfaro B., Hennekens S.M., Botta-Dukat Z., Chytry M., Field R., Jansen F., Kattge J., Pillar V.D., Schrodt F., Mahecha M.D., Peet R.K., Sandel B., van Bodegom P., Altman J., Alvarez-Davila E., Arfin Khan M.A.S., Attorre F., Aubin I., Baraloto C., Barroso J.G., Bauters M., Bergmeier E., Biurrun I., Bjorkman A.D., Blonder B., Carni A., Cayuela L., Cerny T., Cornelissen J.H.C., Craven D., Dainese M., Derroire G., De Sanctis M., Diaz S., Dolezal J., Farfan-Rios W., Feldpausch T.R., Fenton N.J., Garnier E., Guerin G.R., Gutierrez A.G., Haider S., Hattab T., Henry G., Herault B., Higuchi P., Holzel N., Homeier J., Jentsch A., Jurgens N., Kacki Z., Karger D.N., Kessler M., Kleyer M., Knollova I., Korolyuk A.Y., Kuhn I., Laughlin D.C., Lens F., Loos J., Louault F., Lyubenova M.I., Malhi Y., Marceno C., Mencuccini M., Muller J.V., Munzinger J., Myers-Smith I.H., Neill D.A., Niinemets U., Orwin K.H., Ozinga W.A., Penuelas J., Perez-Haase A., Petrik P., Phillips O.L., Partel M., Reich P.B., Romermann C., Rodrigues A.V., Sabatini F.M., Sardans J., Schmidt M., Seidler G., Silva Espejo J.E., Silveira M., Smyth A., Sporbert M., Svenning J.-C., Tang Z., Thomas R., Tsiripidis I., Vassilev K., Violle C., Virtanen R., Weiher E., Welk E., Wesche K., Winter M., Wirth C., Jandt U., Systems Ecology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
0106 biological sciences, [SDV]Life Sciences [q-bio], Bos- en Landschapsecologie, 01 natural sciences, Ecosystem services, forests, grassland, life history traits, plant dispersal, plants, Forest and Landscape Ecology, Environmental planning, OT PB Vredepeel, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, diversité fonctionnelle, Ecology, Vegetation, Plants, Grassland, économie foliaire, Biogeography, Community Ecology, Ecosystems Research, [SDE]Environmental Sciences, Trait, Vegetatie, Bos- en Landschapsecologie, F40 - Écologie végétale, F60 - Physiologie et biochimie végétale, [SDE.MCG]Environmental Sciences/Global Changes, education, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Life History Trait, Biology, Sustainability Science, 010603 evolutionary biology, température, Life Science, prédiction, Ecosystem, Forest, 577: Ökologie, Vegetatie, Ecology, Evolution, Behavior and Systematics, climat, Plant Dispersal, Niche differentiation, Plant community, 15. Life on land, Disturbance (ecology), Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), 010606 plant biology & botany
Abstract

International audience; Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Published
2018

48. An Ontology for Wearables Data Interoperability and Ambient Assisted Living Application Development

Author

Andreas Braun, Henk Eertink, James L. Crowley, Johan Lilius, Jan Alexandersson, Stefan Grönroos, Paul Dillen, Natalia Díaz-Rodríguez, Frank Wickström, Flowing Epigenetic Robots and Systems (Flowers), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Unité d'Informatique et d'Ingénierie des Systèmes (U2IS), École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Unité d'Informatique et d'Ingénierie des Systèmes (U2IS), École Nationale Supérieure de Techniques Avancées (ENSTA Paris), Åbo Akademi University [Turku], Novay, Fraunhofer Institute for Computer Graphics Research [Darmstadt] (Fraunhofer IGD), Fraunhofer (Fraunhofer-Gesellschaft), Philips Research [Nederlands], Philips Research, Interaction située avec les objets et environnements intelligents (PERVASIVE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Grenoble (LIG ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Lotfi A. Zadeh, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat, Vladik Kreinovich, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
Ambient intelligence, Computer science, business.industry, Interoperability, Wearable computer, [INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO], 02 engineering and technology, Ontology (information science), [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, Software, Human–computer interaction, 020204 information systems, [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], Component-based software engineering, 0202 electrical engineering, electronic engineering, information engineering, Profiling (information science), 020201 artificial intelligence & image processing, business, Wearable technology
Abstract

Selected Paper from the 6th World Conference on Soft Computing, May 22-25, 2016, Berkeley, USA; International audience; Over the last decade a number of technologies have been developed that support individuals in keeping themselves active. This can be done via e-coaching mechanisms and by installing more advanced technologies in their homes. The objective of the Active Healthy Ageing (AHA) Platform is to integrate existing tools, hardware, and software that assist individuals in improving and/or maintaining a healthy lifestyle. This architecture is realized by integrating several hardware/software components that generate various types of data. Some examples include heart-rate data, coaching information, in-home activity patterns, mobility patterns, and so on. Various subsystems in the AHA platform can share their data in a semantic and interoperable way, through the use of a AHA data-store and a wearable devices ontology. This paper presents such an ontology for wearable data interoperability in Ambient Assisted Living environments. The ontology includes concepts such as height, weight, locations, activities, activity levels, activity energy expenditure, heart rate, or stress levels, among others. The purpose is serving application development in Ambient Intelligence scenarios ranging from activity monitoring and smart homes to active healthy ageing or lifestyle profiling.

Published
2018

49. Objective measurement of gait parameters in healthy and cognitively impaired elderly using the dual-task paradigm

Author

Alexandra König, Marten Jeroen Pijl, Renaud David, Philippe Robert, Alexandre Demeurraux, Laura Klaming, Cognition Behaviour Technology (CobTek), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice), Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Philips Research [Nederlands], Philips Research, Centre Mémoire de Ressources et de Recherche [Nice] (CMRR Nice), Université Côte d'Azur (UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), and COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Université Côte d'Azur (UCA)

Subjects
Dual-task paradigm, Male, Aging, medicine.medical_specialty, Health Status, [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL], Task (project management), 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, Gait (human), Alzheimer Disease, Accelerometry, medicine, Dementia, Humans, Cognitive Dysfunction, Attention, 030212 general & internal medicine, Motor function, Gait, Aged, Aged, 80 and over, Mild cognitive impairment, Actigraphy, medicine.disease, Mental Status and Dementia Tests, Walking Speed, Dual-task, Preferred walking speed, Accelerometer, Ageing, Case-Control Studies, Ambulatory, Disease Progression, Alzheimer, Female, Original Article, Geriatrics and Gerontology, Psychology, Cadence, human activities, 030217 neurology & neurosurgery
Abstract

International audience; Objectives The present study explores the differences in gait parameters in elderly subjects with or without cognitive impairment measured by means of ambulatory actigraphy while performing a single and a dual task.Methods Sixty-nine participants of which 23 individuals were diagnosed with Alzheimer’s disease (AD), 24 with mild cognitive impairment (MCI), and 22 healthy controls performed a single and dual walking task while wearing a wrist-worn accelerometer. Objective measures of gait features such as walking speed, cadence (i.e., number of steps per minute), and step variance (i.e., variance in time between two consecutive steps) were derived andanalyzed.Results While differences in several gait parameters, namely walking speed, were found between MCI and ADpatients, no differences between healthy elderly and MCI patients were found.Conclusion Walking speed seems to be a gait-related feature that differs significantly between MCI and AD patients and thus could be used as an additional measurement in clinical assessment. However, differences in gait may not be salient enough in the early stages of dementia to be detected by actigraphy. More research comparing different methods to measure gait in early stages of dementia under different dual task conditions is necessary.

Published
2017

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