Spatial conservation prioritisation in data-poor countries: a quantitative sensitivity analysis using multiple taxa

• Published in: BMC ecology Vol. 20; no. 1; p. 35
• Main Authors: El-Gabbas, Ahmed, Gilbert, Francis, Dormann, Carsten F.
• Format: Journal Article
• Language: English
• Published: London BioMed Central Ltd 26.06.2020; BioMed Central; BMC
• Subjects: Algorithms; Analysis; Bias; Biodiversity; Butterflies & moths; Computer applications; computer software; Conservation; Conservation areas; data quality; Data-poor countries; ecology; Egypt; Endangered & extinct species; fauna; Geographical distribution; habitat destruction; Habitat loss; Habitats; Information management; landscapes; Parameter sensitivity; prediction; prioritization; Protected areas; Reptiles; Sampling; Sampling bias; Sensitivity analysis; Software; Spatial conservation prioritisation; Species; Species distribution models; Taxa; Technology application; Uncertainty; Wildlife conservation; Zonation; Egypt

Spatial conservation prioritisation (SCP) is a set of computational tools designed to support the efficient spatial allocation of priority areas for conservation actions, but it is subject to many sources of uncertainty which should be accounted for during the prioritisation process. We quantified t...