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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Functional landscape heterogeneity and animal biodiversity in agricultural landscapes
Ecology Letters, Volume 14, No. 2, Year 2011
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Description
Ecology Letters (2011) 14: 101-112 Biodiversity in agricultural landscapes can be increased with conversion of some production lands into 'more-natural'- unmanaged or extensively managed - lands. However, it remains unknown to what extent biodiversity can be enhanced by altering landscape pattern without reducing agricultural production. We propose a framework for this problem, considering separately compositional heterogeneity (the number and proportions of different cover types) and configurational heterogeneity (the spatial arrangement of cover types). Cover type classification and mapping is based on species requirements, such as feeding and nesting, resulting in measures of 'functional landscape heterogeneity'. We then identify three important questions: does biodiversity increase with (1) increasing heterogeneity of the more-natural areas, (2) increasing compositional heterogeneity of production cover types and (3) increasing configurational heterogeneity of production cover types? We discuss approaches for addressing these questions. Such studies should have high priority because biodiversity protection globally depends increasingly on maintaining biodiversity in human-dominated landscapes. © 2010 Blackwell Publishing Ltd/CNRS.
Authors & Co-Authors
Fahrig, Lenore
Canada, Ottawa
Carleton University
Baudry, Jacques
France, Le Rheu
Centre Inrae Bretagne-normandie
Brotons, Lluís L.
Spain, Solsona
Centre Tecnològic Forestal de Catalunya
Burel, Françoise G.
France, Rennes
Université de Rennes
Crist, Thomas O.
United States, Oxford
Miami University
Fuller, Robert J.
United Kingdom, Thetford
British Trust for Ornithology
Sirami, Clélia
South Africa, Cape Town
University of Cape Town
Siriwardena, Gavin M.
United Kingdom, Thetford
British Trust for Ornithology
Martin, Jean Louis
France, Montpellier
Centre D’ecologie Fonctionnelle et Evolutive
Statistics
Citations: 1,448
Authors: 9
Affiliations: 8
Identifiers
Doi:
10.1111/j.1461-0248.2010.01559.x
ISSN:
1461023X
e-ISSN:
14610248
Research Areas
Genetics And Genomics