Reduced survey intensity and its consequences for marine reserve selection

Reduced survey intensity and its consequences for marine reserve selection There has been much interest in the potential of short-cuts in biodiversity surveys (e.g. physical surrogates, indicator groups, and lower taxonomic resolution) in systematic processes to select networks of representative marine reserves. This study tested the consequences for reserve selection of reducing survey intensity in intertidal rocky shores in southeast Australia. Using a reference data set of species' distributions based on surveys of two replicate sites in each of 15 locations, a reduction in survey intensity was simulated by randomly eliminating the data from one of the replicate sites in each location. A complementarity-based reserve selection algorithm was used to determine the number of locations required to represent all species once in a reserve network and the irreplaceability value of locations. A reduction in survey intensity led to increases in: the size of reserve networks (of between 8 and 17%); the irreplaceability value of locations; and the number of irreplaceable locations. These changes were caused by a reduction in the observed range sizes of species in the data sets simulating a reduced survey intensity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biodiversity and Conservation Springer Journals

Reduced survey intensity and its consequences for marine reserve selection

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Publisher
Springer Journals
Copyright
Copyright © 2003 by Kluwer Academic Publishers
Subject
Life Sciences; Evolutionary Biology; Tree Biology; Plant Sciences
ISSN
0960-3115
eISSN
1572-9710
DOI
10.1023/A:1023637917029
Publisher site
See Article on Publisher Site

Abstract

There has been much interest in the potential of short-cuts in biodiversity surveys (e.g. physical surrogates, indicator groups, and lower taxonomic resolution) in systematic processes to select networks of representative marine reserves. This study tested the consequences for reserve selection of reducing survey intensity in intertidal rocky shores in southeast Australia. Using a reference data set of species' distributions based on surveys of two replicate sites in each of 15 locations, a reduction in survey intensity was simulated by randomly eliminating the data from one of the replicate sites in each location. A complementarity-based reserve selection algorithm was used to determine the number of locations required to represent all species once in a reserve network and the irreplaceability value of locations. A reduction in survey intensity led to increases in: the size of reserve networks (of between 8 and 17%); the irreplaceability value of locations; and the number of irreplaceable locations. These changes were caused by a reduction in the observed range sizes of species in the data sets simulating a reduced survey intensity.

Journal

Biodiversity and Conservation – Springer Journals

Published: Oct 5, 2004

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