Institution
SupAgro
Education•
About: SupAgro is a based out in . It is known for research contribution in the topics: Population & Soil water. The organization has 2681 authors who have published 4075 publications receiving 126242 citations. The organization is also known as: CIESSA & Centre international d'études supérieures en sciences agronomiques.
Topics: Population, Soil water, Agriculture, Context (language use), Gene
Papers published on a yearly basis
Papers
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TL;DR: The large ecological and societal consequences of changing biodiversity should be minimized to preserve options for future solutions to global environmental problems.
Abstract: Human alteration of the global environment has triggered the sixth major extinction event in the history of life and caused widespread changes in the global distribution of organisms. These changes in biodiversity alter ecosystem processes and change the resilience of ecosystems to environmental change. This has profound consequences for services that humans derive from ecosystems. The large ecological and societal consequences of changing biodiversity should be minimized to preserve options for future solutions to global environmental problems.
3,977 citations
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TL;DR: This paper provides an international methodological protocol aimed at standardising this research effort, based on consensus among a broad group of scientists in this field, and features a practical handbook with step-by-step recipes, for 28 functional traits recognised as critical for tackling large-scale ecological questions.
Abstract: There is growing recognition that classifying terrestrial plant species on the basis of their function (into 'functional types') rather than their higher taxonomic identity, is a promising way forward for tackling important ecological questions at the scale of ecosystems, landscapes or biomes. These questions include those on vegetation responses to and vegetation effects on, environmental changes (e.g. changes in climate, atmospheric chemistry, land use or other disturbances). There is also growing consensus about a shortlist of plant traits that should underlie such functional plant classifications, because they have strong predictive power of important ecosystem responses to environmental change and/or they themselves have strong impacts on ecosystem processes. The most favoured traits are those that are also relatively easy and inexpensive to measure for large numbers of plant species. Large international research efforts, promoted by the IGBP–GCTE Programme, are underway to screen predominant plant species in various ecosystems and biomes worldwide for such traits. This paper provides an international methodological protocol aimed at standardising this research effort, based on consensus among a broad group of scientists in this field. It features a practical handbook with step-by-step recipes, with relatively brief information about the ecological context, for 28 functional traits recognised as critical for tackling large-scale ecological questions.
3,288 citations
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National University of Cordoba1, SupAgro2, Joseph Fourier University3, University of Alaska Fairbanks4, VU University Amsterdam5, Kansas State University6, University of Western Australia7, University of Minnesota8, Wageningen University and Research Centre9, Macquarie University10, Stanford University11, Spanish National Research Council12, ETH Zurich13, University of Sheffield14, Utrecht University15, University of California, Los Angeles16, University of Arizona17, University of Regensburg18, Princeton University19, Centro Agronómico Tropical de Investigación y Enseñanza20
TL;DR: This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties.
Abstract: Plant functional traits are the features (morphological, physiological, phenological) that represent ecological strategies and determine how plants respond to environmental factors, affect other trophic levels and influence ecosystem properties. Variation in plant functional traits, and trait syndromes, has proven useful for tackling many important ecological questions at a range of scales, giving rise to a demand for standardised ways to measure ecologically meaningful plant traits. This line of research has been among the most fruitful avenues for understanding ecological and evolutionary patterns and processes. It also has the potential both to build a predictive set of local, regional and global relationships between plants and environment and to quantify a wide range of natural and human-driven processes, including changes in biodiversity, the impacts of species invasions, alterations in biogeochemical processes and vegetation–atmosphere interactions. The importance of these topics dictates the urgent need for more and better data, and increases the value of standardised protocols for quantifying trait variation of different species, in particular for traits with power to predict plant- and ecosystem-level processes, and for traits that can be measured relatively easily. Updated and expanded from the widely used previous version, this handbook retains the focus on clearly presented, widely applicable, step-by-step recipes, with a minimum of text on theory, and not only includes updated methods for the traits previously covered, but also introduces many new protocols for further traits. This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties. We hope this new handbook becomes a standard companion in local and global efforts to learn about the responses and impacts of different plant species with respect to environmental changes in the present, past and future.
2,744 citations
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Teagasc1, Chalmers University of Technology2, University of Aveiro3, SupAgro4, Agrocampus Ouest5, Centre national de la recherche scientifique6, Spanish National Research Council7, Aarhus University8, Institut national de la recherche agronomique9, Norwich University10, Massey University11, Ege University12, Technion – Israel Institute of Technology13, Gdańsk University of Technology14, University of Leeds15, University of Massachusetts Amherst16, Universidade Nova de Lisboa17, Université Paris-Saclay18, University of California, Davis19, Norwegian University of Life Sciences20, University of Greifswald21
TL;DR: This amended and improved digestion method (INFOGEST 2.0) avoids challenges associated with the original method, such as the inclusion of the oral phase and the use of gastric lipase.
Abstract: Developing a mechanistic understanding of the impact of food structure and composition on human health has increasingly involved simulating digestion in the upper gastrointestinal tract. These simulations have used a wide range of different conditions that often have very little physiological relevance, and this impedes the meaningful comparison of results. The standardized protocol presented here is based on an international consensus developed by the COST INFOGEST network. The method is designed to be used with standard laboratory equipment and requires limited experience to encourage a wide range of researchers to adopt it. It is a static digestion method that uses constant ratios of meal to digestive fluids and a constant pH for each step of digestion. This makes the method simple to use but not suitable for simulating digestion kinetics. Using this method, food samples are subjected to sequential oral, gastric and intestinal digestion while parameters such as electrolytes, enzymes, bile, dilution, pH and time of digestion are based on available physiological data. This amended and improved digestion method (INFOGEST 2.0) avoids challenges associated with the original method, such as the inclusion of the oral phase and the use of gastric lipase. The method can be used to assess the endpoints resulting from digestion of foods by analyzing the digestion products (e.g., peptides/amino acids, fatty acids, simple sugars) and evaluating the release of micronutrients from the food matrix. The whole protocol can be completed in ~7 d, including ~5 d required for the determination of enzyme activities.
1,394 citations
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TL;DR: The outcome confirms the potential of microalgae as an energy source but highlights the imperative necessity of decreasing the energy and fertilizer consumption and control of nitrogen stress during the culture and optimization of wet extraction seem to be valuable options.
Abstract: This paper provides an analysis of the potential environmental impacts of biodiesel production from microalgae. High production yields of microalgae have called forth interest of economic and scientific actors but it is still unclear whether the production of biodiesel is environmentally interesting and which transformation steps need further adjustment and optimization. A comparative LCA study of a virtual facility has been undertaken to assess the energetic balance and the potential environmental impacts of the whole process chain, from the biomass production to the biodiesel combustion. Two different culture conditions, nominal fertilizing or nitrogen starvation, as well as two different extraction options, dry or wet extraction, have been tested. The best scenario has been compared to first generation biodiesel and oil diesel. The outcome confirms the potential of microalgae as an energy source but highlights the imperative necessity of decreasing the energy and fertilizer consumption. Therefore contr...
1,372 citations
Authors
Showing all 2712 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sandra Lavorel | 101 | 321 | 58963 |
Olivier Bernard | 96 | 790 | 37878 |
James Taylor | 95 | 1161 | 39945 |
Serge Rambal | 72 | 196 | 20291 |
Serge Morand | 68 | 464 | 17272 |
François Tardieu | 68 | 175 | 14682 |
Jean-Philippe Steyer | 66 | 351 | 17338 |
Eric Garnier | 64 | 135 | 37110 |
Jean-François Briat | 63 | 137 | 14082 |
Christophe Maurel | 62 | 133 | 14311 |
Anthony Sanchez | 61 | 127 | 23535 |
Arnaud Estoup | 60 | 135 | 19893 |
Angélique D'Hont | 58 | 169 | 13681 |
Pascal Genschik | 57 | 117 | 15701 |
Jean-Christophe Glaszmann | 57 | 134 | 9430 |