Abstract
A methodology for estimating environmental thresholds of binary presence–absence data is presented where the level of the threshold is parameterised. Presence–absence data is fitted to three complementary different models: an independent null-model, a monotonically increasing or decreasing model, and an optimum model. The range of the three models is strictly between zero and one and the models are therefore well suited for modelling presence probabilities. The results of the three models may be combined by using Bayesian model selection methodologies. The proposed methodology is exemplified on observed binary presence–absence data of Bauera rubioides along an elevation gradient.
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Received: May 2005 / Revised: July 2005
An erratum to this article is available athttp://dx.doi.org/10.1007/s10651-006-0023-7.
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Damgaard, C. Modelling Ecological Presence–absence Data along an Environmental Gradient: Threshold Levels of the Environment. Environ Ecol Stat 13, 229–236 (2006). https://doi.org/10.1007/s10651-005-0004-2
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DOI: https://doi.org/10.1007/s10651-005-0004-2