{"title":"Habitat correlates of five amphibian species and of species-richness in a wetland system in New South Wales, Australia","authors":"M. Mahony, A. Hamer, S. Lane","doi":"10.1163/157075407779766688","DOIUrl":null,"url":null,"abstract":"We investigated the habitat correlates of five amphibian species and species-richness in freshwater ponds at a wetland site in New South Wales, Australia. The objective was to produce a simple model useful to wildlife managers in the area wishing to construct new ponds for the purpose of amphibian conservation. 43 ponds were surveyed in which we found 2-8 species. We recorded 35 habitat variables, and reduced these to a simpler set of non-correlated surrogate variables in Principle Component Analyses. Five species-specific models were constructed using logistic regression. Emergent vegetation, plant species diversity, pond water pH, salinity and bank slope were found to be predictor variables. A multiple regression analysis was used to investigate correlates associated with species richness. The species richness model showed larger ponds with a high proportion of surface area covered by emergent vegetation held most species of amphibian. There were no conflicts with the results from the species-specific models and the species richness model.","PeriodicalId":55499,"journal":{"name":"Applied Herpetology","volume":"4 1","pages":"65-82"},"PeriodicalIF":0.0000,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1163/157075407779766688","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Herpetology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1163/157075407779766688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
We investigated the habitat correlates of five amphibian species and species-richness in freshwater ponds at a wetland site in New South Wales, Australia. The objective was to produce a simple model useful to wildlife managers in the area wishing to construct new ponds for the purpose of amphibian conservation. 43 ponds were surveyed in which we found 2-8 species. We recorded 35 habitat variables, and reduced these to a simpler set of non-correlated surrogate variables in Principle Component Analyses. Five species-specific models were constructed using logistic regression. Emergent vegetation, plant species diversity, pond water pH, salinity and bank slope were found to be predictor variables. A multiple regression analysis was used to investigate correlates associated with species richness. The species richness model showed larger ponds with a high proportion of surface area covered by emergent vegetation held most species of amphibian. There were no conflicts with the results from the species-specific models and the species richness model.