The interplay of various sources of noise on reliability of species distribution models hinges on ecological specialisation.

ABSTRACT: Digitized species occurrence data provide an unprecedented source of information for ecologists and conservationists. Species distribution model (SDM) has become a popular method to utilise these data for understanding the spatial and temporal distribution of species, and for modelling biodiversity patterns. Our objective is to study the impact of noise in species occurrence data (namely sample size and positional accuracy) on the performance and reliability of SDM, considering the multiplicative impact of SDM algorithms, species specialisation, and grid resolution. We created a set of four 'virtual' species characterized by different specialisation levels. For each of these species, we built the suitable habitat models using five algorithms at two grid resolutions, with varying sample siz

SUBMITTER: Soultan A 

PROVIDER: S-EPMC5683637 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature