14 results on '"U. Martin"'
Search Results
2. Correction: Emerging Evidence on the Effectiveness of Tropical Forest Conservation.
- Author
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Börner, Jan, Baylis, Kathy, Corbera, Esteve, Ezzine-de-Blas, Driss, Ferraro, Paul J., Honey-Rosés, Jordi, Lapeyre, Renaud, Persson, U. Martin, and Wunder, Sven
- Subjects
TROPICAL forests ,FOREST conservation ,EQUATIONS - Abstract
This document is a correction notice for an article titled "Emerging Evidence on the Effectiveness of Tropical Forest Conservation" published in the journal PLoS ONE. The correction addresses an error in the first equation in the Forest conservation effectiveness subsection under Synthesis of Findings. The corrected equation is provided in the document. The authors of the article are Jan Börner, Kathy Baylis, Esteve Corbera, Driss Ezzine-de-Blas, Paul J. Ferraro, Jordi Honey-Rosés, Renaud Lapeyre, U. Martin Persson, and Sven Wunder. [Extracted from the article]
- Published
- 2024
- Full Text
- View/download PDF
3. Combining global land cover datasets to quantify agricultural expansion into forests in Latin America: Limitations and challenges
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Florence Pendrill and U. Martin Persson
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010504 meteorology & atmospheric sciences ,Datasets as Topic ,Geographic Mapping ,Social Sciences ,lcsh:Medicine ,Plant Science ,010501 environmental sciences ,Forests ,01 natural sciences ,Trees ,Remote Sensing ,Land Use ,lcsh:Science ,Conservation Science ,Multidisciplinary ,Ecology ,Geography ,Agroforestry ,Intensive farming ,Amazon rainforest ,Agriculture ,Vegetation ,Plants ,Grassland ,Terrestrial Environments ,Grasslands ,Engineering and Technology ,Common land ,Brazil ,Research Article ,Conservation of Natural Resources ,Land cover ,Human Geography ,Ecosystems ,Deforestation ,Humans ,Plant Communities ,0105 earth and related environmental sciences ,Land use ,Plant Ecology ,Ecology and Environmental Sciences ,lcsh:R ,Organisms ,Tropics ,Biology and Life Sciences ,Latin America ,Paraguay ,Earth Sciences ,lcsh:Q - Abstract
While we know that deforestation in the tropics is increasingly driven by commercial agriculture, most tropical countries still lack recent and spatially-explicit assessments of the relative importance of pasture and cropland expansion in causing forest loss. Here we present a spatially explicit quantification of the extent to which cultivated land and grassland expanded at the expense of forests across Latin America in 2001-2011, by combining two "state-of-the-art" global datasets (Global Forest Change forest loss and GlobeLand30-2010 land cover). We further evaluate some of the limitations and challenges in doing this. We find that this approach does capture some of the major patterns of land cover following deforestation, with GlobeLand30-2010's Grassland class (which we interpret as pasture) being the most common land cover replacing forests across Latin America. However, our analysis also reveals some major limitations to combining these land cover datasets for quantifying pasture and cropland expansion into forest. First, a simple one-to-one translation between GlobeLand30-2010's Cultivated land and Grassland classes into cropland and pasture respectively, should not be made without caution, as GlobeLand30-2010 defines its Cultivated land to include some pastures. Comparisons with the TerraClass dataset over the Brazilian Amazon and with previous literature indicates that Cultivated land in GlobeLand30-2010 includes notable amounts of pasture and other vegetation (e.g. in Paraguay and the Brazilian Amazon). This further suggests that the approach taken here generally leads to an underestimation (of up to similar to 60%) of the role of pasture in replacing forest. Second, a large share (similar to 33%) of the Global Forest Change forest loss is found to still be forest according to GlobeLand30-2010 and our analysis suggests that the accuracy of the combined datasets, especially for areas with heterogeneous land cover and/or small-scale forest loss, is still too poor for deriving accurate quantifications of land cover following forest loss.
- Published
- 2017
4. Emerging Evidence on the Effectiveness of Tropical Forest Conservation
- Author
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Jordi Honey-Rosés, Renaud Lapeyre, Paul J. Ferraro, Esteve Corbera, Driss Ezzine-de-Blas, Kathy Baylis, Jan Börner, U. Martin Persson, and Sven Wunder
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010504 meteorology & atmospheric sciences ,Economics ,Social Sciences ,lcsh:Medicine ,forêt tropicale ,010501 environmental sciences ,Forests ,01 natural sciences ,Geographical locations ,Ecosystem services ,Remote Sensing ,conservation des forêts ,Natural Resources ,K01 - Foresterie - Considérations générales ,Land Use ,Politique de l'environnement ,Science policy ,Payment ,lcsh:Science ,media_common ,Conservation Science ,Multidisciplinary ,Scope (project management) ,Ecology ,Geography ,Environmental resource management ,Commerce ,Remote sensing ,Terrestrial Environments ,protection de la forêt ,Forêt ,Engineering and Technology ,Program Design Language ,P01 - Conservation de la nature et ressources foncières ,Costa Rica ,Conservation of Natural Resources ,Science Policy ,media_common.quotation_subject ,Overview ,Context (language use) ,gestion des ressources naturelles ,Human Geography ,Ecosystems ,Deforestation ,Conservation des ressources ,Couvert ,Humans ,K70 - Dégâts causés aux forêts et leur protection ,Ecosystem ,0105 earth and related environmental sciences ,Tropical Climate ,Land use ,programme d'action ,business.industry ,Research ,Ecology and Environmental Sciences ,lcsh:R ,Évaluation de l'impact ,Biology and Life Sciences ,Central America ,Déboisement ,Conservation science ,North America ,Earth Sciences ,Politique forestière ,Couvert forestier ,lcsh:Q ,Natural resources ,People and places ,business - Abstract
Unidad de excelencia María de Maeztu MdM-2015-0552 The PLOS ONE Collection "Measuring forest conservation effectiveness" brings together a series of studies that evaluate the effectiveness of tropical forest conservation policies and programs with the goal of measuring conservation success and associated co-benefits. This overview piece describes the geographic and methodological scope of these studies, as well as the policy instruments covered in the Collection as of June 2016. Focusing on forest cover change, we systematically compare the conservation effects estimated by the studies and discuss them in the light of previous findings in the literature. Nine studies estimated that annual conservation impacts on forest cover were below one percent, with two exceptions in Mexico and Indonesia. Differences in effect sizes are not only driven by the choice of conservation measures. One key lesson from the studies is the need to move beyond the current scientific focus of estimating average effects of undifferentiated conservation programs. The specific elements of the program design and the implementation context are equally important factors for understanding the effectiveness of conservation programs. Particularly critical will be a better understanding of the causal mechanisms through which conservation programs have impacts. To achieve this understanding we need advances in both theory and methods.
- Published
- 2016
5. Combining global land cover datasets to quantify agricultural expansion into forests in Latin America: Limitations and challenges
- Author
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Pendrill, Florence, primary and Persson, U. Martin, additional
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- 2017
- Full Text
- View/download PDF
6. Analyzing key constraints to biogas production from crop residues and manure in the EU—A spatially explicit model
- Author
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Einarsson, Rasmus, primary and Persson, U. Martin, additional
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- 2017
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7. Emerging Evidence on the Effectiveness of Tropical Forest Conservation
- Author
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Börner, Jan, primary, Baylis, Kathy, additional, Corbera, Esteve, additional, Ezzine-de-Blas, Driss, additional, Ferraro, Paul J., additional, Honey-Rosés, Jordi, additional, Lapeyre, Renaud, additional, Persson, U. Martin, additional, and Wunder, Sven, additional
- Published
- 2016
- Full Text
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8. Prediction and validation of gene-disease associations using methods inspired by social network analyses
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Ambuj Tewari, Nagarajan Natarajan, Edward M. Marcotte, U. Martin Singh-Blom, Inderjit S. Dhillon, and John O. Woods
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Support Vector Machine ,Gene regulatory network ,Inference ,lcsh:Medicine ,Functional genes ,Disease ,Genetic Networks ,Biology ,Machine learning ,computer.software_genre ,Social Networking ,03 medical and health sciences ,0302 clinical medicine ,Genome Analysis Tools ,Protein Interaction Mapping ,Genome Databases ,Genetics ,Leverage (statistics) ,Animals ,Humans ,Gene Regulatory Networks ,Gene Networks ,lcsh:Science ,Genetic Association Studies ,030304 developmental biology ,0303 health sciences ,Multidisciplinary ,Models, Statistical ,Social network ,Models, Genetic ,business.industry ,Gene Ontologies ,Systems Biology ,lcsh:R ,Computational Biology ,Genomics ,Support vector machine ,030220 oncology & carcinogenesis ,Genetics of Disease ,lcsh:Q ,Artificial intelligence ,Gene Function ,business ,computer ,Human learning ,Algorithms ,Research Article - Abstract
Correctly identifying associations of genes with diseases has long been a goal in biology. With the emergence of large-scale gene-phenotype association datasets in biology, we can leverage statistical and machine learning methods to help us achieve this goal. In this paper, we present two methods for predicting gene-disease associations based on functional gene associations and gene-phenotype associations in model organisms. The first method, the Katz measure, is motivated from its success in social network link prediction, and is very closely related to some of the recent methods proposed for gene-disease association inference. The second method, called Catapult (Combining dATa Across species using Positive-Unlabeled Learning Techniques), is a supervised machine learning method that uses a biased support vector machine where the features are derived from walks in a heterogeneous gene-trait network. We study the performance of the proposed methods and related state-of-the-art methods using two different evaluation strategies, on two distinct data sets, namely OMIM phenotypes and drug-target interactions. Finally, by measuring the performance of the methods using two different evaluation strategies, we show that even though both methods perform very well, the Katz measure is better at identifying associations between traits and poorly studied genes, whereas Catapult is better suited to correctly identifying gene-trait associations overall. The authors want to thank Jon Laurent and Kris McGary for some of the data used, and Li and Patra for making their code available. Most of Ambuj Tewari's contribution to this work happened while he was a postdoctoral fellow at the University of Texas at Austin.
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- 2013
9. Correction: Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses
- Author
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Singh-Blom, U. Martin, primary, Natarajan, Nagarajan, additional, Tewari, Ambuj, additional, Woods, John O., additional, Dhillon, Inderjit S., additional, and Marcotte, Edward M., additional
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- 2013
- Full Text
- View/download PDF
10. Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses
- Author
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Singh-Blom, U. Martin, primary, Natarajan, Nagarajan, additional, Tewari, Ambuj, additional, Woods, John O., additional, Dhillon, Inderjit S., additional, and Marcotte, Edward M., additional
- Published
- 2013
- Full Text
- View/download PDF
11. Correction: Emerging Evidence on the Effectiveness of Tropical Forest Conservation.
- Author
-
Jan Börner, Kathy Baylis, Esteve Corbera, Driss Ezzine-de-Blas, Paul J Ferraro, Jordi Honey-Rosés, Renaud Lapeyre, U Martin Persson, and Sven Wunder
- Subjects
Medicine ,Science - Abstract
[This corrects the article DOI: 10.1371/journal.pone.0159152.].
- Published
- 2024
- Full Text
- View/download PDF
12. Emerging Evidence on the Effectiveness of Tropical Forest Conservation.
- Author
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Jan Börner, Kathy Baylis, Esteve Corbera, Driss Ezzine-de-Blas, Paul J Ferraro, Jordi Honey-Rosés, Renaud Lapeyre, U Martin Persson, and Sven Wunder
- Subjects
Medicine ,Science - Abstract
The PLOS ONE Collection "Measuring forest conservation effectiveness" brings together a series of studies that evaluate the effectiveness of tropical forest conservation policies and programs with the goal of measuring conservation success and associated co-benefits. This overview piece describes the geographic and methodological scope of these studies, as well as the policy instruments covered in the Collection as of June 2016. Focusing on forest cover change, we systematically compare the conservation effects estimated by the studies and discuss them in the light of previous findings in the literature. Nine studies estimated that annual conservation impacts on forest cover were below one percent, with two exceptions in Mexico and Indonesia. Differences in effect sizes are not only driven by the choice of conservation measures. One key lesson from the studies is the need to move beyond the current scientific focus of estimating average effects of undifferentiated conservation programs. The specific elements of the program design and the implementation context are equally important factors for understanding the effectiveness of conservation programs. Particularly critical will be a better understanding of the causal mechanisms through which conservation programs have impacts. To achieve this understanding we need advances in both theory and methods.
- Published
- 2016
- Full Text
- View/download PDF
13. Transplantation of purified iPSC-derived cardiomyocytes in myocardial infarction.
- Author
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Rojas SV, Kensah G, Rotaermel A, Baraki H, Kutschka I, Zweigerdt R, Martin U, Haverich A, Gruh I, and Martens A
- Subjects
- Animals, Cell Differentiation genetics, Disease Models, Animal, Humans, Magnetic Resonance Imaging, Mice, Myocardial Contraction genetics, Myocardial Infarction diagnostic imaging, Myocardial Infarction physiopathology, Myocardium pathology, Heart Transplantation, Induced Pluripotent Stem Cells transplantation, Myocardial Infarction therapy, Myocytes, Cardiac transplantation, Stem Cell Transplantation
- Abstract
Background: Induced pluripotent stem cells (iPSC) can be differentiated into cardiomyocytes and represent a possible autologous cell source for myocardial repair. We analyzed the engraftment and functional effects of murine iPSC-derived cardiomyocytes (iPSC-CMs) in a murine model of myocardial infarction., Methods and Results: To maximize cardiomyocyte yield and purity a genetic purification protocol was applied. Murine iPSCs were genetically modified to express a Zeocin™ resistance gene under control of the cardiac-specific α-myosin heavy chain (α-MHC, MYH6) promoter. Thus, CM selection was performed during in vitro differentiation. iPSC-CM aggregates ("cardiac bodies", CBs) were transplanted on day 14 after LAD ligation into the hearts of previously LAD-ligated mice (800 CBs/animal; 2-3x106 CMs). Animals were treated with placebo (PBS, n = 14) or iPSC-CMs (n = 35). Myocardial remodeling and function were evaluated by magnetic resonance imaging (MRI), conductance catheter (CC) analysis and histological morphometry. In vitro and in vivo differentiation was investigated. Follow up was 28 days (including histological assessment and functional analysis). iPSC-CM purity was >99%. Transplanted iPSC-CMs formed mature grafts within the myocardium, expressed cardiac markers and exhibited sarcomeric structures. Intramyocardial transplantation of iPSC-CMs significantly improved myocardial remodeling and left ventricular function 28 days after LAD-ligation., Conclusions: We conclude that iPSCs can effectively be differentiated into cardiomyocytes and genetically enriched to high purity. iPSC derived cardiomyocytes engraft within the myocardium of LAD-ligated mice and contribute to improve left ventricular function.
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- 2017
- Full Text
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14. Macroscopic fluorescence imaging: a novel technique to monitor retention and distribution of injected microspheres in an experimental model of ischemic heart failure.
- Author
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Martens A, Rojas SV, Baraki H, Rathert C, Schecker N, Hernandez SR, Schwanke K, Zweigerdt R, Martin U, Saito S, Haverich A, and Kutschka I
- Subjects
- Animals, Disease Models, Animal, Fluorescence, Heart Failure complications, Injections, Mice, Inbred BALB C, Myocardial Ischemia complications, Myocardium, Reference Standards, Reproducibility of Results, Heart Failure diagnosis, Microspheres, Molecular Imaging methods, Myocardial Ischemia diagnosis
- Abstract
Background: The limited effectiveness of cardiac cell therapy has generated concern regarding its clinical relevance. Experimental studies show that cell retention and engraftment are low after injection into ischemic myocardium, which may restrict therapy effectiveness significantly. Surgical aspects and mechanical loss are suspected to be the main culprits behind this phenomenon. As current techniques of monitoring intramyocardial injections are complex and time-consuming, the aim of the study was to develop a fast and simple model to study cardiac retention and distribution following intramyocardial injections. For this purpose, our main hypothesis was that macroscopic fluorescence imaging could adequately serve as a detection method for intramyocardial injections., Methods and Results: A total of 20 mice underwent ligation of the left anterior descending artery (LAD) for myocardial infarction. Fluorescent microspheres with cellular dimensions were used as cell surrogates. Particles (5 × 10(5)) were injected into the infarcted area of explanted resting hearts (Ex vivo myocardial injetions EVMI, n = 10) and in vivo into beating hearts (In vivo myocardial injections IVMI, n = 10). Microsphere quantification was performed by fluorescence imaging of explanted organs. Measurements were repeated after a reduction to homogenate dilutions. Cardiac microsphere retention was 2.78 × 10(5) ± 0.31 × 10(5) in the EVMI group. In the IVMI group, cardiac retention of microspheres was significantly lower (0.74 × 10(5) ± 0.18 × 10(5); p<0.05). Direct fluorescence imaging revealed venous drainage through the coronary sinus, resulting in a microsphere accumulation in the left (0.90 × 10(5) ± 0.20 × 10(5)) and the right (1.07 × 10(5) ± 0.17 × 10(5)) lung. Processing to homogenates involved further particle loss (p<0.05) in both groups., Conclusions: We developed a fast and simple direct fluorescence imaging method for biodistribution analysis which enabled the quantification of fluorescent microspheres after intramyocardial delivery using macroscopic fluorescence imaging. This new technique showed massive early particle loss and venous drainage into the right atrium leading to substantial accumulation of graft particles in both lungs.
- Published
- 2014
- Full Text
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