Literature DB >> 23330728

Human influence and classical biogeographic predictors of rare species occurrence.

Joseph R Bennett1, Peter Arcese.   

Abstract

Biogeographic theory predicts that rare species occur more often in larger, less-isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non-native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human-modified landscapes because such patches may represent the only habitats in which rare species are likely to persist.
© 2013 Society for Conservation Biology.

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Year:  2013        PMID: 23330728     DOI: 10.1111/cobi.12015

Source DB:  PubMed          Journal:  Conserv Biol        ISSN: 0888-8892            Impact factor:   6.560


  3 in total

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Authors:  Cora L Skaien; Peter Arcese
Journal:  Evol Appl       Date:  2022-04-08       Impact factor: 4.929

2.  Bird community conservation and carbon offsets in western North America.

Authors:  Richard Schuster; Tara G Martin; Peter Arcese
Journal:  PLoS One       Date:  2014-06-11       Impact factor: 3.240

3.  A century of ecosystem change: human and seabird impacts on plant species extirpation and invasion on islands.

Authors:  Thomas K Lameris; Joseph R Bennett; Louise K Blight; Marissa Giesen; Michael H Janssen; Joop J H J Schaminée; Peter Arcese
Journal:  PeerJ       Date:  2016-07-21       Impact factor: 2.984

  3 in total

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