globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2015.05.009
Scopus记录号: 2-s2.0-84943633460
论文题名:
The imprint of plants on ecosystem functioning: A data-driven approach
作者: Musavi T; , Mahecha M; D; , Migliavacca M; , Reichstein M; , van de Weg M; J; , van Bodegom P; M; , Bahn M; , Wirth C; , Reich P; B; , Schrodt F; , Kattge J
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 43
起始页码: 119
结束页码: 131
语种: 英语
英文关键词: Biogeochemical fluxes ; Biosphere-atmosphere interactions ; Ecosystem functional properties ; Plant traits ; Remote sensing ; Scaling
Scopus关键词: atmosphere-biosphere interaction ; biogeochemistry ; ecosystem function ; empirical analysis ; heterogeneity ; light use efficiency ; remote sensing
英文摘要: Terrestrial ecosystems strongly determine the exchange of carbon, water and energy between the biosphere and atmosphere. These exchanges are influenced by environmental conditions (e.g., local meteorology, soils), but generally mediated by organisms. Often, mathematical descriptions of these processes are implemented in terrestrial biosphere models. Model implementations of this kind should be evaluated by empirical analyses of relationships between observed patterns of ecosystem functioning, vegetation structure, plant traits, and environmental conditions. However, the question of how to describe the imprint of plants on ecosystem functioning based on observations has not yet been systematically investigated. One approach might be to identify and quantify functional attributes or responsiveness of ecosystems (often very short-term in nature) that contribute to the long-term (i.e., annual but also seasonal or daily) metrics commonly in use. Here we define these patterns as "ecosystem functional properties", or EFPs. Such as the ecosystem capacity of carbon assimilation or the maximum light use efficiency of an ecosystem. While EFPs should be directly derivable from flux measurements at the ecosystem level, we posit that these inherently include the influence of specific plant traits and their local heterogeneity. We present different options of upscaling in situ measured plant traits to the ecosystem level (ecosystem vegetation properties - EVPs) and provide examples of empirical analyses on plants' imprint on ecosystem functioning by combining in situ measured plant traits and ecosystem flux measurements. Finally, we discuss how recent advances in remote sensing contribute to this framework. © 2015 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79464
Appears in Collections:气候变化事实与影响

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作者单位: Max Planck Institute for Biogeochemistry, Jena, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; SIMBIOS, Abertay University of Dundee, Dundee DD1 1HG, Scotland, United Kingdom; Institute of Environmental Sciences (CML), University Leiden, Leiden, Netherlands; Institute of Ecology, University of Innsbruck, Innsbruck, Austria; Systematic Botany and Functional Biodiversity Research, Institute of Biology, University of Leipzig, Leipzig, Germany; Department of Forest Resources, University of Minnesota, St Paul, MN, United States; Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, NSW, Australia

Recommended Citation:
Musavi T,, Mahecha M,D,et al. The imprint of plants on ecosystem functioning: A data-driven approach[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,43
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