Predicting American Oystercatcher (Haematopus palliatus) Breeding Distribution in an Urbanized Coastal Ecosystem Using Maximum Entropy Modeling

Abstract

Abstract. Species distribution modeling has seen widespread use in ecology and conservation over the past two decades, and as a result many questions regarding the predictive capabilities of new techniques have been raised. One modeling approach that has gained popularity is Maxent, which uses presence-only data to model species distributions. Although Maxent is ordinarily used to model a species' fundamental niche at large scales (e.g., continental-scale), this technique was used to develop a predictive model for the realized niche and local breeding distribution of American Oystercatchers (Haematopus palliatus) in coastal New Jersey, USA. The transferability of the predictive model to locations outside training areas was examined in an effort to locate new breeding populations in previously unsurveyed areas. Initial model validation indicated that Maxent performed well, exhibiting good discrimination ability based on analyses of both training data (AUC = 0.95) and test data (AUC = 0.91). Ground surveys ...