Your browser doesn't support javascript.
loading
A decade of insights into grassland ecosystem responses to global environmental change.
Borer, Elizabeth T; Grace, James B; Harpole, W Stanley; MacDougall, Andrew S; Seabloom, Eric W.
Afiliación
  • Borer ET; Department of Ecology, Evolution, and Behavior, University of Minnesota, 1479 Gortner Avenue, 140 Gortner Laboratory, Saint Paul, Minnesota 55108, USA.
  • Grace JB; US Geological Survey, Wetland and Aquatic Research Center, 700 Cajundome Boulevard, Lafayette, Louisiana 70506, USA.
  • Harpole WS; Department of Physiological Diversity, Helmholtz Center for Environmental Research - UFZ, Permoserstrasse 15, 04318 Leipzig, Germany.
  • MacDougall AS; German Centre for Integrative Biodiversity Research (iDiv), Deutscher Platz 5e, 04103 Leipzig, Germany.
  • Seabloom EW; Martin Luther University Halle-Wittenberg, Am Kirchtor 1, 06108 Halle (Saale), Germany.
Nat Ecol Evol ; 1(5): 118, 2017 Apr 20.
Article en En | MEDLINE | ID: mdl-28812706
ABSTRACT
Earth's biodiversity and carbon uptake by plants, or primary productivity, are intricately interlinked, underlie many essential ecosystem processes, and depend on the interplay among environmental factors, many of which are being changed by human activities. While ecological theory generalizes across taxa and environments, most empirical tests of factors controlling diversity and productivity have been observational, single-site experiments, or meta-analyses, limiting our understanding of variation among site-level responses and tests of general mechanisms. A synthesis of results from ten years of a globally distributed, coordinated experiment, the Nutrient Network (NutNet), demonstrates that species diversity promotes ecosystem productivity and stability, and that nutrient supply and herbivory control diversity via changes in composition, including invasions of non-native species and extinction of native species. Distributed experimental networks are a powerful tool for tests and integration of multiple theories and for generating multivariate predictions about the effects of global changes on future ecosystems.

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Ecol Evol Año: 2017 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nat Ecol Evol Año: 2017 Tipo del documento: Article