Habitat models

Understanding what constitutes suitable habitat for a particular species is of critical importance to conservation management and planning, yet the specific habitat requirements of many species are poorly understood. Forest managers typically require habitat maps to support management decisions, and such maps may also be required at regional or national scales to inform conservation planning. This

Fig. 7.16 An illustration of the process of habitat modelling, when two data sets—one for fitting and one for evaluating the model—are available. Model evaluation can either be made (a) on the calibration data set by using bootstrap, cross-validation, or jackknife techniques; or (b) on the independent data set, by comparing predicted to observed values by using approaches such as ROC curves for presence-absence models. (Reprinted from Ecological Modelling. Predictive habitat distribution models in ecology. 135. Guisan and Zimmerman, pp 147-186, (2000). With permission from Elsevier.)

Fig. 7.16 An illustration of the process of habitat modelling, when two data sets—one for fitting and one for evaluating the model—are available. Model evaluation can either be made (a) on the calibration data set by using bootstrap, cross-validation, or jackknife techniques; or (b) on the independent data set, by comparing predicted to observed values by using approaches such as ROC curves for presence-absence models. (Reprinted from Ecological Modelling. Predictive habitat distribution models in ecology. 135. Guisan and Zimmerman, pp 147-186, (2000). With permission from Elsevier.)

section focuses on methods that can be used to generate habitat maps from a variety of modelling approaches. The information presented here is drawn largely from Elith and Burgman (2003) and Guisan and Zimmermann (2000). According to the former authors, there are seven main approaches to habitat modelling, which are considered separately below. The overall process of habitat modelling is illustrated in Figure 7.16.

Was this article helpful?

0 0

Post a comment