53 research outputs found

    Chapitre 13. Séquestration du carbone et usage durable des savanes ouest-africaines : synergie ou antagonisme ?

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    Introduction Les Ă©cosystĂšmes de savane ouest-africaine couvrent de vastes superficies (5.106 km2), en grande majoritĂ© exploitĂ©es par l’agriculture et le pastoralisme (Mayaux et al., 2004). Ils associent des systĂšmes herbacĂ©s et arborĂ©s, les faciĂšs de vĂ©gĂ©tation Ă©tant fortement pilotĂ©s par la pluviositĂ© annuelle selon un gradient latitudinal. Dans ces Ă©cosystĂšmes, pour des raisons principalement dĂ©mographiques et techniques – et, demain, sans doute climatiques – les ressources carbonĂ©es se rar..

    Genotypic variability enhances the reproducibility of an ecological study

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    Many scientific disciplines are currently experiencing a “reproducibility crisis” because numerous scientific findings cannot be repeated consistently. A novel but controversial hypothesis postulates that stringent levels of environmental and biotic standardization in experimental studies reduces reproducibility by amplifying impacts of lab-specific environmental factors not accounted for in study designs. A corollary to this hypothesis is that a deliberate introduction of controlled systematic variability (CSV) in experimental designs may lead to increased reproducibility. We tested this hypothesis using a multi-laboratory microcosm study in which the same ecological experiment was repeated in 14 laboratories across Europe. Each laboratory introduced environmental and genotypic CSV within and among replicated microcosms established in either growth chambers (with stringent control of environmental conditions) or glasshouses (with more variable environmental conditions). The introduction of genotypic CSV led to lower among-laboratory variability in growth chambers, indicating increased reproducibility, but had no significant effect in glasshouses where reproducibility was generally lower. Environmental CSV had little effect on reproducibility. Although there are multiple causes for the “reproducibility crisis”, deliberately including genetic variation may be a simple solution for increasing the reproducibility of ecological studies performed in controlled environments

    TRY plant trait database – enhanced coverage and open access

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    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

    Carbone des sols en Afrique

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    Les sols sont une ressource essentielle Ă  prĂ©server pour la production d’aliments, de fibres, de biomasse, pour la filtration de l’eau, la prĂ©servation de la biodiversitĂ© et le stockage du carbone. En tant que rĂ©servoirs de carbone, les sols sont par ailleurs appelĂ©s Ă  jouer un rĂŽle primordial dans la lutte contre l’augmentation de la concentration de gaz Ă  effet de serre. Ils sont ainsi au centre des objectifs de dĂ©veloppement durable (ODD) des Nations unies, notamment les ODD 2 « Faim zĂ©ro », 13 « Lutte contre le changement climatique », 15 « Vie terrestre », 12 « Consommation et production responsables » ou encore 1 « Pas de pauvretĂ© ». Cet ouvrage prĂ©sente un Ă©tat des lieux des sols africains dans toute leur diversitĂ©, mais au-delĂ , il documente les capacitĂ©s de stockage de carbone selon les types de sols et leurs usages en Afrique. Il propose Ă©galement des recommandations autour de l’acquisition et de l’interprĂ©tation des donnĂ©es, ainsi que des options pour prĂ©server, voire augmenter les stocks de carbone dans les sols. Tous les chercheurs et acteurs du dĂ©veloppement impliquĂ©s dans les recherches sur le rĂŽle du carbone des sols sont concernĂ©s par cette synthĂšse collective. Fruit d’une collaboration entre chercheurs africains et europĂ©ens, ce livre insiste sur la nĂ©cessitĂ© de prendre en compte la grande variĂ©tĂ© des contextes agricoles et forestiers africains pour amĂ©liorer nos connaissances sur les capacitĂ©s de stockage de carbone des sols et lutter contre le changement climatique

    A starting guide to root ecology: strengthening ecological concepts and standardising root classification, sampling, processing and trait measurements

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    In the context of a recent massive increase in research on plant root functions and their impact on the environment, root ecologists currently face many important challenges to keep on generating cutting-edge, meaningful and integrated knowledge. Consideration of the below-ground components in plant and ecosystem studies has been consistently called for in recent decades, but methodology is disparate and sometimes inappropriate. This handbook, based on the collective effort of a large team of experts, will improve trait comparisons across studies and integration of information across databases by providing standardised methods and controlled vocabularies. It is meant to be used not only as starting point by students and scientists who desire working on below-ground ecosystems, but also by experts for consolidating and broadening their views on multiple aspects of root ecology. Beyond the classical compilation of measurement protocols, we have synthesised recommendations from the literature to provide key background knowledge useful for: (1) defining below-ground plant entities and giving keys for their meaningful dissection, classification and naming beyond the classical fine-root vs coarse-root approach; (2) considering the specificity of root research to produce sound laboratory and field data; (3) describing typical, but overlooked steps for studying roots (e.g. root handling, cleaning and storage); and (4) gathering metadata necessary for the interpretation of results and their reuse. Most importantly, all root traits have been introduced with some degree of ecological context that will be a foundation for understanding their ecological meaning, their typical use and uncertainties, and some methodological and conceptual perspectives for future research. Considering all of this, we urge readers not to solely extract protocol recommendations for trait measurements from this work, but to take a moment to read and reflect on the extensive information contained in this broader guide to root ecology, including sections I–VII and the many introductions to each section and root trait description. Finally, it is critical to understand that a major aim of this guide is to help break down barriers between the many subdisciplines of root ecology and ecophysiology, broaden researchers’ views on the multiple aspects of root study and create favourable conditions for the inception of comprehensive experiments on the role of roots in plant and ecosystem functioning.ISSN:0028-646XISSN:1469-813

    Use of near infrared reflectance spectroscopy (NIRS) for predicting soil fertility and historical management

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    International audienceThis study tests the potential of near infrared reflectance spectroscopy (NIRS) for predicting soil fertility and management history from topsoil (0-10 cm deep) spectra. Soil fertility was assessed by measuring the growth of a test plant, and soil management history was determined through inquiries with farmers. Moreover, NIRS predictive value was compared with that of a group of topsoil parameters: total carbon and nitrogen, nitrate, potential respiration and denitrification, and microbial biomass. Modelling used partial and modified partial least square regressions to ensure comparisons between predictions by NIRS versus by soil parameters. Soil fertility and management history were well predicted by NIRS (QÂČ = 0.78 and RÂČ = 0.89 both; QÂČ and RÂČ are cross-validation and calibration coefficients of determination, respectively), as were the soil parameters (QÂČ = 0.79-0.92 and RÂČ = 0.86-0.98). Soil fertility and management history were more accurately predicted by NIRS than by the set of soil parameters
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