Search

Your search keyword '"Craine J.M."' showing total 12 results
Start Over Author "Craine J.M."
12 results on '"Craine J.M."'

1. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation

Author

Joswig, J.S., Wirth, C., Schuman, M.C., Kattge, J., Reu, B., Wright, I.J., Sippel, S.D., Rüger, N., Richter, R., Schaepman, M.E., van Bodegom, P.M., Cornelissen, J.H.C., Díaz, S., Hattingh, W.N., Kramer, K., Lens, F., Niinemets, Ü., Reich, P.B., Reichstein, M., Römermann, C., Schrodt, F., Anand, M., Bahn, M., Byun, C., Campetella, G., Cerabolini, B.E.L., Craine, J.M., Gonzalez-Melo, A., Gutiérrez, A.G., He, T., Higuchi, P., Jactel, H., Kraft, N.J.B., Minden, V., Onipchenko, V., Peñuelas, J., Pillar, V.D., Sosinski, Ê., Soudzilovskaia, N.A., Weiher, E., Mahecha, M.D., Joswig, J.S., Wirth, C., Schuman, M.C., Kattge, J., Reu, B., Wright, I.J., Sippel, S.D., Rüger, N., Richter, R., Schaepman, M.E., van Bodegom, P.M., Cornelissen, J.H.C., Díaz, S., Hattingh, W.N., Kramer, K., Lens, F., Niinemets, Ü., Reich, P.B., Reichstein, M., Römermann, C., Schrodt, F., Anand, M., Bahn, M., Byun, C., Campetella, G., Cerabolini, B.E.L., Craine, J.M., Gonzalez-Melo, A., Gutiérrez, A.G., He, T., Higuchi, P., Jactel, H., Kraft, N.J.B., Minden, V., Onipchenko, V., Peñuelas, J., Pillar, V.D., Sosinski, Ê., Soudzilovskaia, N.A., Weiher, E., and Mahecha, M.D.

Abstract

Plant functional traits can predict community assembly and ecosystem functioning and are thus widely used in global models of vegetation dynamics and land–climate feedbacks. Still, we lack a global understanding of how land and climate affect plant traits. A previous global analysis of six traits observed two main axes of variation: (1) size variation at the organ and plant level and (2) leaf economics balancing leaf persistence against plant growth potential. The orthogonality of these two axes suggests they are differently influenced by environmental drivers. We find that these axes persist in a global dataset of 17 traits across more than 20,000 species. We find a dominant joint effect of climate and soil on trait variation. Additional independent climate effects are also observed across most traits, whereas independent soil effects are almost exclusively observed for economics traits. Variation in size traits correlates well with a latitudinal gradient related to water or energy limitation. In contrast, variation in economics traits is better explained by interactions of climate with soil fertility. These findings have the potential to improve our understanding of biodiversity patterns and our predictions of climate change impacts on biogeochemical cycles.

Published
2021

2. A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

Author

Moreno-Martinez, A., Camps-Valls, G., Kattge, J., Robinson, N., Reichstein, M., Bodegom, P.M. van, Kramer, K., Cornelissen, J., Hans, C., Reich, P., Bahn, M., Niinemets, U., Penuelas, J., Craine, J.M., Cerabolini, B.E.L., Minden, V., Laughlin, D.C., Sack, L., Allred, B., Baraloto, C., Byun, C., Soudzilovskaia, N.A., Running, S.W., Biology, and Systems Ecology

Subjects
0106 biological sciences, FOS: Computer and information sciences, 010504 meteorology & atmospheric sciences, Specific leaf area, Climate, Bos- en Landschapsecologie, Soil Science, FOS: Physical sciences, Applied Physics (physics.app-ph), 010603 evolutionary biology, 01 natural sciences, Statistics - Applications, Goodness of fit, Abundance (ecology), Machine learning, Forest and Landscape Ecology, Applications (stat.AP), Computers in Earth Sciences, Plant ecology, Vegetatie, 0105 earth and related environmental sciences, Remote sensing, Mathematics, 2. Zero hunger, Plant traits, Vegetation, Data stream mining, Landsat, MODIS, Random forests, Geology, Global Map, Regression analysis, Physics - Applied Physics, 15. Life on land, PE&RC, Random forest, Trait, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology
Abstract

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then aggregated to Plant Functional Types (PFTs). Next, the spatial abundance of PFTs at MODIS resolution (500 m) is calculated using Landsat data (30 m). Based on these PFT abundances, representative trait values are calculated for MODIS pixels with nearby trait data. Finally, different regression algorithms are applied to globally predict trait estimates from these MODIS pixels using remote sensing and climate data. The methods were compared in terms of precision, robustness and efficiency. The best model (random forests regression) shows good precision (normalized RMSE≤ 20%) and goodness of fit (averaged Pearson's correlation R = 0.78) in any considered trait. Along with the estimated global maps of leaf traits, we provide associated uncertainty estimates derived from the regression models. The process chain is modular, and can easily accommodate new traits, data streams (traits databases and remote sensing data), and methods. The machine learning techniques applied allow attribution of information gain to data input and thus provide the opportunity to understand trait-environment relationships at the plant and ecosystem scales. The new data products – the gap-filled trait matrix, a global map of PFT abundance per MODIS gridcells and the high-resolution global leaf trait maps – are complementary to existing large-scale observations of the land surface and we therefore anticipate substantial contributions to advances in quantifying, understanding and prediction of the Earth system.

Published
2020
Full Text
View/download PDF

3. Global plant trait relationships extend to the climatic extremes of the tundra biome

Author

Thomas, H.J.D., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Henry, G.H.R., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Beck, P.S.A., Georges, D., Goetz, S.J., Guay, K.C., Rüger, N., Soudzilovskaia, N.A., Spasojevic, M.J., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K.S., Collier, L.S., Cooper, E.J., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Johnstone, J.F., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L.J., Lantz, T.C., Lévesque, E., Little, C.J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S.S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Rumpf, S.B., Shetti, R., Speed, J.D.M., Suding, K.N., Tape, K.D., Tomaselli, M., Trant, A.J., Treier, U.A., Tremblay, M., Venn, S.E., Vowles, T., Weijers, S., Wookey, P.A., Zamin, T.J., Bahn, M., Blonder, B., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Craine, J.M., Dainese, M., Green, W.A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W.A., Peñuelas, J., Poschlod, P., Thomas, H.J.D., Bjorkman, A.D., Myers-Smith, I.H., Elmendorf, S.C., Kattge, J., Diaz, S., Vellend, M., Blok, D., Cornelissen, J.H.C., Forbes, B.C., Henry, G.H.R., Hollister, R.D., Normand, S., Prevéy, J.S., Rixen, C., Schaepman-Strub, G., Wilmking, M., Wipf, S., Cornwell, W.K., Beck, P.S.A., Georges, D., Goetz, S.J., Guay, K.C., Rüger, N., Soudzilovskaia, N.A., Spasojevic, M.J., Alatalo, J.M., Alexander, H.D., Anadon-Rosell, A., Angers-Blondin, S., te Beest, M., Berner, L.T., Björk, R.G., Buchwal, A., Buras, A., Carbognani, M., Christie, K.S., Collier, L.S., Cooper, E.J., Elberling, B., Eskelinen, Anu Maria, Frei, E.R., Grau, O., Grogan, P., Hallinger, M., Heijmans, M.M.P.D., Hermanutz, L., Hudson, J.M.G., Johnstone, J.F., Hülber, K., Iturrate-Garcia, M., Iversen, C.M., Jaroszynska, F., Kaarlejarvi, E., Kulonen, A., Lamarque, L.J., Lantz, T.C., Lévesque, E., Little, C.J., Michelsen, A., Milbau, A., Nabe-Nielsen, J., Nielsen, S.S., Ninot, J.M., Oberbauer, S.F., Olofsson, J., Onipchenko, V.G., Petraglia, A., Rumpf, S.B., Shetti, R., Speed, J.D.M., Suding, K.N., Tape, K.D., Tomaselli, M., Trant, A.J., Treier, U.A., Tremblay, M., Venn, S.E., Vowles, T., Weijers, S., Wookey, P.A., Zamin, T.J., Bahn, M., Blonder, B., van Bodegom, P.M., Bond-Lamberty, B., Campetella, G., Cerabolini, B.E.L., Chapin III, F.S., Craine, J.M., Dainese, M., Green, W.A., Jansen, S., Kleyer, M., Manning, P., Niinemets, Ü., Onoda, Y., Ozinga, W.A., Peñuelas, J., and Poschlod, P.

Abstract

The majority of variation in six traits critical to the growth, survival and reproduction of plant species is thought to be organised along just two dimensions, corresponding to strategies of plant size and resource acquisition. However, it is unknown whether global plant trait relationships extend to climatic extremes, and if these interspecific relationships are confounded by trait variation within species. We test whether trait relationships extend to the cold extremes of life on Earth using the largest database of tundra plant traits yet compiled. We show that tundra plants demonstrate remarkably similar resource economic traits, but not size traits, compared to global distributions, and exhibit the same two dimensions of trait variation. Three quarters of trait variation occurs among species, mirroring global estimates of interspecific trait variation. Plant trait relationships are thus generalizable to the edge of global trait-space, informing prediction of plant community change in a warming world.

Published
2020

6. Multiple facets of biodiversity drive the diversity–stability relationship

Author

Craven, Dylan, Eisenhauer, N., Pearse, W.D., Hautier, Y., Isbell, F., Roscher, Christiane, Bahn, M., Beierkuhnlein, C., Bönisch, G., Buchmann, N., Byun, C., Catford, J.A., Cerabolini, B.E.L., Cornelissen, J.H.C., Craine, J.M., De Luca, E., Ebeling, A., Griffin, J.N., Hector, A., Hines, J., Jentsch, A., Kattge, J., Kreyling, J., Lanta, V., Lemoine, N., Meyer, S.T., Minden, V., Onipchenko, V., Wayne Polley, H., Reich, P.B., van Ruijven, J., Schamp, B., Smith, M.D., Soudzilovskaia, N.A., Tilman, D., Weigelt, A., Wilsey, B., Manning, P., Craven, Dylan, Eisenhauer, N., Pearse, W.D., Hautier, Y., Isbell, F., Roscher, Christiane, Bahn, M., Beierkuhnlein, C., Bönisch, G., Buchmann, N., Byun, C., Catford, J.A., Cerabolini, B.E.L., Cornelissen, J.H.C., Craine, J.M., De Luca, E., Ebeling, A., Griffin, J.N., Hector, A., Hines, J., Jentsch, A., Kattge, J., Kreyling, J., Lanta, V., Lemoine, N., Meyer, S.T., Minden, V., Onipchenko, V., Wayne Polley, H., Reich, P.B., van Ruijven, J., Schamp, B., Smith, M.D., Soudzilovskaia, N.A., Tilman, D., Weigelt, A., Wilsey, B., and Manning, P.

Abstract

A substantial body of evidence has demonstrated that biodiversity stabilizes ecosystem functioning over time in grassland ecosystems. However, the relative importance of different facets of biodiversity underlying the diversity–stability relationship remains unclear. Here we use data from 39 grassland biodiversity experiments and structural equation modelling to investigate the roles of species richness, phylogenetic diversity and both the diversity and community-weighted mean of functional traits representing the ‘fast–slow’ leaf economics spectrum in driving the diversity–stability relationship. We found that high species richness and phylogenetic diversity stabilize biomass production via enhanced asynchrony in the performance of co-occurring species. Contrary to expectations, low phylogenetic diversity enhances ecosystem stability directly, albeit weakly. While the diversity of fast–slow functional traits has a weak effect on ecosystem stability, communities dominated by slow species enhance ecosystem stability by increasing mean biomass production relative to the standard deviation of biomass over time. Our in-depth, integrative assessment of factors influencing the diversity–stability relationship demonstrates a more multicausal relationship than has been previously acknowledged.

Published
2018

7. Global relationship of wood and leaf litter decomposability: the role of functional traits within and across plant organs

Author

Pietsch, K.A., Ogle, K., Cornelissen, J.H.C., Cornwell, W.K., Bönisch, G., Craine, J.M., Jackson, B.G., Kattge, J., Peltzer, D.A., Penuelas, J., Reich, P.B., Wardle, D.A., Weedon, J.T., Wright, I.J., Zanne, A.E., Wirth, C., Systems Ecology, and Amsterdam Global Change Institute

Abstract

Aim: Recent meta-analyses have revealed that plant traits and their phylogenetic history influence decay rates of dead wood and leaf litter, but it remains unknown if decay rates of wood and litter covary over a wide range of tree species and across ecosystems. We evaluated the relationships between species-specific wood and leaf litter decomposability, as well as between wood and leaf traits that control their respective decomposability. Location: Global. Methods: We compiled data on rates of wood and leaf litter decomposition for 324 and 635 tree species, respectively, and data on six functional traits for both organs. We used hierarchical Bayesian meta-analysis to estimate, for the first time, species-specific values for wood and leaf litter decomposability standardized to reference conditions (k*

Published
2014

8. Mapping local and global variability in plant trait distributions

Author

Butler, E.E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K.R., Fazayeli, F., Banerjee, A., Atkin, O.K., Kattge, J., Amiaud, B., Blonder, B., Boenisch, G., Bond-Lamberty, B., Brown, K.A., Byun, C., Campetella, G., Cerabolini, B.E.L., Cornelissen, J.H.C., Craine, J.M., Craven, Dylan, de Vries, F., Díaz, S., Domingues, T.F., Forey, E., González-Melo, A., Gross, N., Han, W., Hattingh, W.N., Hickler, T., Jansen, S., Kramer, K., Kraft, N.J.B., Kurokawa, H., Laughlin, D.C., Meir, P., Minden, V., Niinemets, Ü., Onoda, Y., Peñuelas, J., Read, Q., Sack, L., Schamp, B., Soudzilovskaia, N.A., Spasojevic, M.J., Sosinski, E., Thornton, P.E., Valladares, F., van Bodegom, P.M., Williams, M., Wirth, C., Reich, P.B., Butler, E.E., Datta, A., Flores-Moreno, H., Chen, M., Wythers, K.R., Fazayeli, F., Banerjee, A., Atkin, O.K., Kattge, J., Amiaud, B., Blonder, B., Boenisch, G., Bond-Lamberty, B., Brown, K.A., Byun, C., Campetella, G., Cerabolini, B.E.L., Cornelissen, J.H.C., Craine, J.M., Craven, Dylan, de Vries, F., Díaz, S., Domingues, T.F., Forey, E., González-Melo, A., Gross, N., Han, W., Hattingh, W.N., Hickler, T., Jansen, S., Kramer, K., Kraft, N.J.B., Kurokawa, H., Laughlin, D.C., Meir, P., Minden, V., Niinemets, Ü., Onoda, Y., Peñuelas, J., Read, Q., Sack, L., Schamp, B., Soudzilovskaia, N.A., Spasojevic, M.J., Sosinski, E., Thornton, P.E., Valladares, F., van Bodegom, P.M., Williams, M., Wirth, C., and Reich, P.B.

Abstract

Currently, Earth system models (ESMs) represent variation in plant life through the presence of a small set of plant functional types (PFTs), each of which accounts for hundreds or thousands of species across thousands of vegetated grid cells on land. By expanding plant traits from a single mean value per PFT to a full distribution per PFT that varies among grid cells, the trait variation present in nature is restored and may be propagated to estimates of ecosystem processes. Indeed, critical ecosystem processes tend to depend on the full trait distribution, which therefore needs to be represented accurately. These maps reintroduce substantial local variation and will allow for a more accurate representation of the land surface in ESMs.

Published
2017

9. TRY - a global database of plant traits

Author

Kattge, J., Diaz, S., Lavorel, S., Prentices, I.C., Leadley, P., Bönisch, G., Garnier, E., Westobys, M., Reich, P.B., Wrights, I.J., Cornelissen, C., Violle, C., Harisson, S.P., van Bodegom, P.M., Reichstein, M., Enquist, B.J., Soudzilovskaia, N.A., Ackerly, D.D., Anand, M., Atkin, O., Bahn, M., Baker, T.R., Baldochi, D., Bekker, R., Blanco, C.C., Blonders, B., Bond, W.J., Bradstock, R., Bunker, D.E., Casanoves, F., Cavender-Bares, J., Chambers, J.Q., Chapin III, F.S., Chave, J., Coomes, D., Cornwell, W.K., Craine, J.M., Dobrin, B.H., Duarte, L., Durka, W., Elser, J., Esser, G., Estiarte, M., Fagan, W.F., Fang, J., Fernadez-Mendez, F., Fidelis, A., Finegan, B., Flores, O., Ford, H., Frank, D., Freschet, T., Fyllas, N.M., Gallagher, R.V., Green, W.A., Gutierrez, A.G., Hickler, T., Higgins, S.I., Hodgson, J.G., Jalili, A., Jansen, S., Joly, C.A., Kerkhoff, A.J., Kirkup, D., Kitajima, K., Kleyer, M., Klotz, S., Knops, J.M.H., Kramer, K., Kühn, I., Kurokawa, H., Laughlin, D., Lee, T.D., Leishman, M., Lens, F., Lewis, S.L., Lloyd, J., Llusia, J., Louault, F., Ma, S., Mahecha, M.D., Manning, P., Massad, T., Medlyn, B.E., Messier, J., Moles, A.T., Müller, S.C., Nadrowski, K., Naeem, S., Niinemets, Ü., Nöllert, S., Nüske, A., Ogaya, R., Oleksyn, J., Onipchenko, V.G., Onoda, Y., Ordonez Barragan, J.C., Ozinga, W.A., and Poorter, L.

Subjects
litter decomposition rates, hawaiian metrosideros-polymorpha, leaf economics spectrum, relative growth-rate, PE&RC, Law Group, Forest Ecology and Forest Management, Centrum Ecosystemen, tropical rain-forest, Centre for Ecosystem Studies, CE - Vegetation and Landscape Ecology, Recht, terrestrial biosphere, wide-range, Bosecologie en Bosbeheer, sub-arctic flora, Wageningen Environmental Research, functional traits, old-field succession
Abstract

Plant traits – the morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs – determine how primary producers respond to environmental factors, affect other trophic levels, influence ecosystem processes and services and provide a link from species richness to ecosystem functional diversity. Trait data thus represent the raw material for a wide range of research from evolutionary biology, community and functional ecology to biogeography. Here we present the global database initiative named TRY, which has united a wide range of the plant trait research community worldwide and gained an unprecedented buy-in of trait data: so far 93 trait databases have been contributed. The data repository currently contains almost three million trait entries for 69 000 out of the world's 300 000 plant species, with a focus on 52 groups of traits characterizing the vegetative and regeneration stages of the plant life cycle, including growth, dispersal, establishment and persistence. A first data analysis shows that most plant traits are approximately log-normally distributed, with widely differing ranges of variation across traits. Most trait variation is between species (interspecific), but significant intraspecific variation is also documented, up to 40% of the overall variation. Plant functional types (PFTs), as commonly used in vegetation models, capture a substantial fraction of the observed variation – but for several traits most variation occurs within PFTs, up to 75% of the overall variation. In the context of vegetation models these traits would better be represented by state variables rather than fixed parameter values. The improved availability of plant trait data in the unified global database is expected to support a paradigm shift from species to trait-based ecology, offer new opportunities for synthetic plant trait research and enable a more realistic and empirically grounded representation of terrestrial vegetation in Earth system models.

Published
2011

10. The relationship among root and leaf traits of 76 grassland species and relative abundance along fertility and disturbance gradients.

Author

Craine, J.M., Froehle, J., Tilman, D.G., Wedin, D.A., and Chapin III, F.S.

Subjects
*GRASSLANDS, *LEAVES
Abstract

Analyzes the patterns on root and leaf traits of various grassland species in Minnesota. Association of the traits with fertility and growth form; Information on high tissue density species existing as a basal rosette for part of the season; Comparison on the relative abundance between grasses and forbs.

Published
2001
Full Text
View/download PDF

11. Isotopic evidence for oligotrophication of terrestrial ecosystems

Author

Lei Fujiyoshi, Melissa A. Dawes, Lixin Wang, Xingliang Xu, Terrence P. McGlynn, Pascal Boeckx, Andrew J. Elmore, Sylvain Delzon, Rossella Guerrieri, Dewidine Van der Colff, Michael J. Gundale, Guirui Yu, Pablo Luis Peri, Stella G. Mosher, Paul Szpak, Rebecca Sanders-DeMott, Yunting Fang, Tanaka Kenzo, Mathieu Jonard, Mikhail I. Makarov, Marijn Bauters, David M. Nelson, Sara Marañón-Jiménez, Alex Fajardo, Julieta N. Aranibar, Minghua Song, Joseph M. Craine, Peter Hietz, Elizabeth Kearsley, Christiane Werner, Yang Yang, Pamela H. Templer, Alan Gray, David J. Hawke, Jean Christophe Roggy, Brenden E. McNeil, Brooke E. Crowley, Katarzyna Zmudczyńska-Skarbek, Jonah Ventures, Appalachian Laboratory, University of Maryland Center for Environmental Science (UMCES), University of Maryland System-University of Maryland System, Indiana University, Indiana University System, Consejo Nacional de Investigaciones Científicas y Técnicas, Universiteit Gent = Ghent University [Belgium] (UGENT), University of Cincinnati (UC), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Centro de Investigación en Ecosistemas de la Patagonia (CIEP), Universidad Austral de Chile, Chinese Academy of Sciences (CAS), Research Institute for Humanity and Nature (RIHN), Centre for Ecology and Hydrology (CEH), Centre for Ecology and Hydrology, Centre for Ecological Research and Forestry Applications (CREAF), Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Ara Institute of Canterbury, Institute of Botany, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Earth and Life Institute [Louvain-La-Neuve] (ELI), Université Catholique de Louvain = Catholic University of Louvain (UCL), Forestry and Forest Products Research Institute (FFPRI), Lomonosov Moscow State University (MSU), Universidad de Granada (UGR), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), California State University, Partenaires INRAE, Smithsonian National Museum of Natural History (NMNH), Department of Geology and Geography, Sofia University ‘St. Kliment Ohridsky', Department of Geology, Instituto Nacional de Tecnología Agropecuaria, Universidad Nacional de la Patagonia Austral (UNPA), 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), Department of Biology [Gainesville] (UF|Biology), University of Florida [Gainesville] (UF), University of New Hampshire (UNH), Department of Anthropology, Trent University, South African National Biodiversity Institute, University of Freiburg [Freiburg], College of Resources and Environment, Shanxi Agricultural University [Jinzhong], University of Gdańsk (UG), UCL - SST/ELI/ELIE - Environmental Sciences, Craine J.M., Elmore A.J., Wang L., Aranibar J., Bauters M., Boeckx P., Crowley B.E., Dawes M.A., Delzon S., Fajardo A., Fang Y., Fujiyoshi L., Gray A., Guerrieri R., Gundale M.J., Hawke D.J., Hietz P., Jonard M., Kearsley E., Kenzo T., Makarov M., Maranon-Jimenez S., McGlynn T.P., McNeil B.E., Mosher S.G., Nelson D., Peri P.L., Roggy J.C., Sanders-Demott R., Song M., Szpak P., Templer P.H., Van der Colff D., Werner C., Xu X., Yang Y., Yu G., and Zmudczynska-Skarbek K.

Subjects
0106 biological sciences, Delta, 010504 meteorology & atmospheric sciences, Nitrogen, [SDV]Life Sciences [q-bio], Growing season, Nutritional stress, 010603 evolutionary biology, 01 natural sciences, Ciencias Biológicas, oligotrophication, Nutrient, Isotopes, Ecosystem, Terrestrial carbon uptake, Nitrogen cycle, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, 2. Zero hunger, Carbon dioxide in Earth's atmosphere, Ecology, terrestrial ecosystems, food and beverages, Plant, isotopic, Eutrophication, 15. Life on land, Ecología, sylviculture, foliar, Environmental science, Terrestrial ecosystem, Nitrogen Isotope, CIENCIAS NATURALES Y EXACTAS
Abstract

Human societies depend on an Earth system that operates within a constrained range of nutrient availability, yet the recent trajectory of terrestrial nitrogen (N) availability is uncertain. Examining patterns of foliar N concentrations and isotope ratios (δ 15 N) from more than 43,000 samples acquired over 37 years, here we show that foliar N concentration declined by 9% and foliar δ 15 N declined by 0.6–1.6‰. Examining patterns across different climate spaces, foliar δ 15 N declined across the entire range of mean annual temperature and mean annual precipitation tested. These results suggest declines in N supply relative to plant demand at the global scale. In all, there are now multiple lines of evidence of declining N availability in many unfertilized terrestrial ecosystems, including declines in δ 15 N of tree rings and leaves from herbarium samples over the past 75–150 years. These patterns are consistent with the proposed consequences of elevated atmospheric carbon dioxide and longer growing seasons. These declines will limit future terrestrial carbon uptake and increase nutritional stress for herbivores. Fil: Craine, Joseph M.. Jonah Ventures; Estados Unidos Fil: Elmore, Andrew J.. University of Maryland; Estados Unidos Fil: Wang, Lixin. Indiana University; Estados Unidos. Purdue University; Estados Unidos Fil: Aranibar, Julieta Nelida. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Provincia de Mendoza. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales. Universidad Nacional de Cuyo. Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales; Argentina Fil: Bauters, Marijn. University of Ghent; Bélgica Fil: Boeckx, Pascal. University of Ghent; Bélgica Fil: Crowley, Brooke E.. University of Cincinnati; Estados Unidos Fil: Dawes, Melissa A.. Swiss Federal Institute for Forest, Snow and Landscape Research; Suiza Fil: Delzon, Sylvain. Universite de Bordeaux; Francia. Institut National de la Recherche Agronomique; Francia Fil: Fajardo, Alex. Centro de Investigación en Ecosistemas de la Patagonia; Chile Fil: Fang, Yunting. Chinese Academy of Sciences; República de China Fil: Fujiyoshi, Lei. Research Institute for Humanity and Nature; Japón Fil: Gray, Alan. North American Electric Reliability Corporation. Centre for Ecology and Hydrology; Estados Unidos Fil: Guerrieri, Rossella. Consejo Superior de Investigaciones Científicas. Centre de Recerca Ecológica I Aplicacions Forestals; España Fil: Gundale, Michael J.. Swedish University of Agricultural Sciences; Suecia Fil: Hawke, David J.. Ara Institute of Canterbury. Department of Science and Primary Industries; Nueva Zelanda Fil: Hietz, Peter. University of Natural Resources and Life Sciences. Institute of Botany; Austria Fil: Jonard, Mathieu. Université Catholique de Louvain; Bélgica Fil: Kearsley, Elizabeth. University of Ghent; Bélgica Fil: Kenzo, Tanaka. Forestry and Forest Products Research Institute. Department of Plant Ecology; Japón Fil: Makarov, Mikhail. Moscow M.V. Lomonosov State University; Rusia Fil: Marañón Jiménez, Sara. Universidad de Granada; España. Consejo Superior de Investigaciones Científicas. Centre de Recerca Ecológica I Aplicacions Forestals; España Fil: McGlynn, Terrence P.. University of California; Estados Unidos. Natural History Museum of Los Angeles County. Department of Entomology; Estados Unidos Fil: McNeil, Brenden E.. West Virginia University. Department of Geology and Geography; Estados Unidos Fil: Mosher, Stella G.. University of Cincinnati; Estados Unidos Fil: Nelson, David M.. University of Maryland; Estados Unidos Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria; Argentina Fil: Roggy, Jean Christophe. Institut National de la Recherche Agronomique; Francia. Ecologie des Forêts de Guyane; Francia Fil: Sanders Demott, Rebecca. Boston University; Estados Unidos Fil: Song, Minghua. Chinese Academy of Sciences; República de China Fil: Szpak, Paul. Trent University. Department of Anthropology; Canadá Fil: Templer, Pamela H.. Boston University; Estados Unidos Fil: Van der Colff, Dewidine. South African National Biodiversity Institute; Sudáfrica Fil: Werner, Christiane. Albert Ludwigs University of Freiburg; Alemania Fil: Xu, Xingliang. Chinese Academy of Sciences; República de China Fil: Yang, Yang. Chinese Academy of Sciences; República de China Fil: Yu, Guirui. Chinese Academy of Sciences; República de China. University of Chinese Academy of Sciences. College of Resources and Environment; República de China Fil: Zmudczyńska Skarbek, Katarzyna. University of Gdańsk; Polonia

Published
2018

12. Reply to: Data do not support large-scale oligotrophication of terrestrial ecosystems

Author

Andrew J. Elmore, Lixin Wang, Yunting Fang, Pablo Luis Peri, Rossella Guerrieri, Michael J. Gundale, Pamela H. Templer, Alan Gray, Sylvain Delzon, Peter Hietz, Joseph M. Craine, Christiane Werner, David M. Nelson, Pascal Boeckx, Jonah Ventures, Appalachian Laboratory, University of Maryland Center for Environmental Science (UMCES), University of Maryland System-University of Maryland System, Indiana University, Indiana University System, Universiteit Gent = Ghent University [Belgium] (UGENT), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), Chinese Academy of Sciences (CAS), Centre for Ecology and Hydrology (CEH), Centre for Ecology and Hydrology, Centre for Ecological Research and Forestry Applications (CREAF), Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Institute of Botany, Universität für Bodenkultur Wien [Vienne, Autriche] (BOKU), Consejo Nacional de Investigaciones Científicas y Técnicas, Department of Biology [Gainesville] (UF|Biology), University of Florida [Gainesville] (UF), Universite de Fribourg, Craine J.M., Elmore A.J., Wang L., Boeckx P., Delzon S., Fang Y., Gray A., Guerrieri R., Gundale M.J., Hietz P., Nelson D.M., Peri P.L., Templer P.H., and Werner C.

Subjects
0106 biological sciences, Nitrogen deposition, 010504 meteorology & atmospheric sciences, Scale (ratio), Climate Change, [SDV]Life Sciences [q-bio], Climate change, Atmospheric sciences, 010603 evolutionary biology, 01 natural sciences, N deposition, Ciencias Biológicas, oligotrophication, Ecosystem, ComputingMilieux_MISCELLANEOUS, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, N availability, Ecology, Ecología, 15. Life on land, plant δ15N, Environmental science, Terrestrial ecosystem, CIENCIAS NATURALES Y EXACTAS
Abstract

There are many reasons that the isotopic signature of deposited N is unlikely to be causing the declines in plant δ15N. Although our analysis of foliar δ15N was limited to after 1980, declines in foliar, tree-ring and sediment δ15N pre-date the onset of widespread inorganic N fertilizer use, as well as any timing ofshifts to more reduced forms of N in deposition. Also, despite variation in the isotopic signatures of N deposition and its sources, there is no evidence currently that the signature of atmospheric N deposition has been declining overtime. A global, comprehensive dataset on the signature of N deposition does not exist and would be helpful to generate. Yet, even if the isotopic signature of N deposition has been declining, changes in N availability can have a stronger influence on plant δ15N than the signature of added N. Fil: Craine, Joseph M.. No especifíca; Fil: Elmore, Andrew J.. University of Maryland; Estados Unidos Fil: Wang, Lixin. No especifíca; Fil: Boeckx, Pascal. University of Ghent; Bélgica Fil: Delzon, Sylvain. Universite de Bordeaux; Francia Fil: Fang, Yunting. Chinese Academy of Sciences; República de China Fil: Gray, Alan. No especifíca; Fil: Guerrieri, Rossella. Centre for Ecological Research and Forestry Applications; España Fil: Gundale, Michael J.. Swedish University of Agricultural Sciences; Suecia Fil: Hietz, Peter. University of Natural Resources and Life Sciences; Austria Fil: Nelson, David M.. University of Maryland; Estados Unidos Fil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Tecnológica Nacional. Facultad Regional Santa Cruz. Centro de Investigaciones y Transferencia de Santa Cruz. Universidad Nacional de la Patagonia Austral. Centro de Investigaciones y Transferencia de Santa Cruz; Argentina Fil: Templer, Pamela H.. Boston University; Estados Unidos Fil: Werner, Christiane. Albert Ludwigs University of Freiburg; Alemania

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results