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Quantitative recommendations for amphibian terrestrial habitat conservation derived from habitat selection behavior
Author(s) -
Indermaur Lukas,
Schmidt Benedikt R.
Publication year - 2011
Publication title -
ecological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.864
H-Index - 213
eISSN - 1939-5582
pISSN - 1051-0761
DOI - 10.1890/10-2047.1
Subject(s) - habitat , ecology , population , resource (disambiguation) , conservation biology , environmental resource management , bufo , selection (genetic algorithm) , biology , environmental science , computer science , computer network , toad , demography , artificial intelligence , sociology
Conservation scientists have noted that conservation managers rarely use scientific information when making decisions. One of the reasons why managers rarely use scientific information may be that conservation scientists rarely provide their knowledge in a way that can directly be used by conservation practitioners. Here we show how quantitative recommendations for conservation can be derived. Previous research on terrestrial habitat selection behavior of toads ( Bufo bufo and Bufo viridis ) showed that wood deposits are a key resource in the terrestrial habitat. We used habitat‐dependence analysis to estimate the amount of this key resource, wood deposits, that individual toads require. Based on these estimates we then quantify the requirements for wood deposits for a population. Additionally, we quantified the area that a population requires. Although wood deposits vary strongly in size, we found little evidence for size preferences: only one species preferred smallest sizes of wood deposits. We report all the estimates in a way that can be directly used by conservation managers. Habitat‐dependence analysis is a simple and useful tool to quantify habitat requirements. Provisioning of wood deposits may improve the quality of terrestrial habitat for amphibians. Thereby, managers may increase the carrying capacity of terrestrial habitats and support elevated population densities.