Literature DB >> 15937750

Testing simple indices of habitat proximity.

Rachael Winfree1, Jonathan Dushoff, Elizabeth E Crone, Cheryl B Schultz, Robert V Budny, Neal M Williams, Claire Kremen.   

Abstract

Simple measures of habitat proximity made primarily on the basis of land cover are widely used in the ecological literature to infer habitat connectivity, or the potential for animal movement among resource patches. However, such indices rarely have been tested against observations of animal movement or against more detailed biological models. We developed a priori expectations as to the types of study systems and organisms for which various habitat proximity indices would be best suited. We then used data from three study systems and four species to test which, if any, of the indices were good predictors of population-level responses. Our a priori expectations about index performance were not upheld. The indices that consider both habitat area and distance from the focal patch were highly correlated with each other, suggesting that they do index similar quantities. However, none of the indices performed well in predicting population response variables. The results suggest that the pattern of habitat cover alone may be insufficient to predict the process of animal movement.

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Year:  2005        PMID: 15937750     DOI: 10.1086/430009

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  10 in total

1.  Social network models predict movement and connectivity in ecological landscapes.

Authors:  Robert J Fletcher; Miguel A Acevedo; Brian E Reichert; Kyle E Pias; Wiley M Kitchens
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-14       Impact factor: 11.205

2.  Should habitat trading be based on mitigation ratios derived from landscape indices? A model-based analysis of compensatory restoration options for the red-cockaded woodpecker.

Authors:  Douglas J Bruggeman; Michael L Jones
Journal:  Environ Manage       Date:  2008-07-16       Impact factor: 3.266

3.  Spatial asymmetries in connectivity influence colonization-extinction dynamics.

Authors:  Miguel A Acevedo; Robert J Fletcher; Raymond L Tremblay; Elvia J Meléndez-Ackerman
Journal:  Oecologia       Date:  2015-06-10       Impact factor: 3.225

4.  Habitat fragmentation causes immediate and time-delayed biodiversity loss at different trophic levels.

Authors:  Jochen Krauss; Riccardo Bommarco; Moisès Guardiola; Risto K Heikkinen; Aveliina Helm; Mikko Kuussaari; Regina Lindborg; Erik Ockinger; Meelis Pärtel; Joan Pino; Juha Pöyry; Katja M Raatikainen; Anu Sang; Constantí Stefanescu; Tiit Teder; Martin Zobel; Ingolf Steffan-Dewenter
Journal:  Ecol Lett       Date:  2010-03-24       Impact factor: 9.492

5.  Modelling pollination services across agricultural landscapes.

Authors:  Eric Lonsdorf; Claire Kremen; Taylor Ricketts; Rachael Winfree; Neal Williams; Sarah Greenleaf
Journal:  Ann Bot       Date:  2009-03-26       Impact factor: 4.357

6.  A model for habitat selection and species distribution derived from central place foraging theory.

Authors:  Ola Olsson; Arvid Bolin
Journal:  Oecologia       Date:  2014-04-03       Impact factor: 3.225

7.  Interactive effects of large- and small-scale sources of feral honey-bees for sunflower in the Argentine Pampas.

Authors:  Agustín Sáez; Malena Sabatino; Marcelo A Aizen
Journal:  PLoS One       Date:  2012-01-27       Impact factor: 3.240

8.  Species distribution models for crop pollination: a modelling framework applied to Great Britain.

Authors:  Chiara Polce; Mette Termansen; Jesus Aguirre-Gutiérrez; Nigel D Boatman; Giles E Budge; Andrew Crowe; Michael P Garratt; Stéphane Pietravalle; Simon G Potts; Jorge A Ramirez; Kate E Somerwill; Jacobus C Biesmeijer
Journal:  PLoS One       Date:  2013-10-14       Impact factor: 3.240

9.  Cross-scale interactions and the distribution-abundance relationship.

Authors:  Earl E Werner; Christopher J Davis; David K Skelly; Rick A Relyea; Michael F Benard; Shannon J McCauley
Journal:  PLoS One       Date:  2014-05-29       Impact factor: 3.240

10.  The Value of Learning about Natural History in Biodiversity Markets.

Authors:  Douglas J Bruggeman
Journal:  PLoS One       Date:  2015-12-16       Impact factor: 3.240

  10 in total

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