Predicting species occurrences with habitat network models.

ABSTRACT: Biodiversity conservation requires modeling tools capable of predicting the presence or absence (i.e., occurrence-state) of species in habitat patches. Local habitat characteristics of a patch (lh), the cost of traversing the landscape matrix between patches (weighted connectivity [wc]), and the position of the patch in the habitat network topology (nt) all influence occurrence-state. Existing models are data demanding or consider only local habitat characteristics. We address these shortcomings and present a network-based modeling approach, which aims to predict species occurrence-state in habitat patches using readily available presence-only records.For the tree frog Hyla arborea in the Swiss Plateau, we delineated habitat network nodes from an ensemble habita

SUBMITTER: Ortiz-Rodriguez DO 

PROVIDER: S-EPMC6787819 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature