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A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services
Author(s) -
Lavorel Sandra,
Storkey Jonathan,
Bardgett Richard D.,
Bello Francesco,
Berg Matty P.,
Roux Xavier,
Moretti Marco,
Mulder Christian,
Pakeman Robin J.,
Díaz Sandra,
Harrington Richard
Publication year - 2013
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.1111/jvs.12083
Subject(s) - trophic level , flexibility (engineering) , ecosystem services , trait , ecosystem , ecology , conceptual framework , environmental resource management , functional diversity , ecosystem model , computer science , conceptual model , biology , environmental science , mathematics , sociology , social science , statistics , programming language , database
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.