A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services
Year: 2013
Type: article
Abstract: A novel conceptual framework is presented that proposes to apply trait‐based approaches to predicting the impact of environmental change on ecosystem service delivery by multi‐trophic systems. Development of the framework was based on an extension of the response–effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
Source: Journal of Vegetation Science
DOI: 10.1111/jvs.12083
Institutions: Centre National de la Recherche Scientifique, Université Joseph Fourier, Laboratoire d'Écologie Alpine, Rothamsted Research, University of Manchester, Czech Academy of Sciences, Czech Academy of Sciences, Institute of Botany, Vrije Universiteit Amsterdam, Lyon 1 Université, Université de Lyon, Ecologie microbienne, Swiss Federal Institute for Forest, Snow and Landscape Research, National Institute for Public Health and the Environment, James Hutton Institute, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad Nacional de Córdoba, Instituto Multidisciplinario de Biología Vegetal
Language: English
Subfield: Nature and Landscape Conservation
Field: Environmental Science
Domain: Physical Sciences
SDG: Life on land
Open Access status: green
OpenAlex ID: W2062007350