Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4374553 | Ecological Indicators | 2009 | 11 Pages |
Abstract
The proposed model was preceded by a conventional multivariate statistical procedure performed to discriminate the significant relationships between the selected metrics versus climatic variables. Since this statistical analysis is static, the dataset recorded from the field included true gradients of weather conditions (ranging from standard to extreme conditions). The results of the StDM simulations revealed significant variations in the performance of passerine surveys in response to several combinations of non-standard weather conditions, which enable us to calculate the appropriated correction factors for discrete climatic scenarios. This could be used, in the future, to improve the quality of passerine diversity and richness estimates, namely in the scope of EIA studies when the climatic conditions are inevitably adverse for rigorous passerine surveys.
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Authors
Mário Santos, Paulo Travassos, Miguel Repas, João Alexandre Cabral,