Capturing uncatalogued distribution records to improve conservation assessments of data‐deficient species: a case study using the glossy grass skink

Effective conservation planning is often predicated on detailed and current information about a species' geographical distribution. However, traditional sources of occurrence data (e.g., online biodiversity databases) may be insufficient for estimating the range rare, poorly understood species that are readily misidentified. Here, we demonstrate more holistic approach to this problem, using known glossy grass skink (Pseudemoia rawlinsoni) as case study. We first compared relative contribution made (to our knowledge species) by database records, with photo-substantiated records obtained via personal communication (PC). used ecological niche modelling (ENM) predict distribution, then performed field surveys at both historical predicted suitable sites further clarify its occurrence. 20% all came from PC method, which resulted in 35 new increased area occupancy (AOO) 176 km2. Most past decade, demonstrating method effective elucidating ENM revealed P. rawlinsoni has disjunct range, mostly low-elevation coastal species, exception habitat parts high-elevation Australian Alps bioregion. The AOO likely declined over recent decades owing anthropogenic disturbance, given 38% now cleared agricultural land, failed detect 52% record sites. Together, these findings provide robust foundation develop strategic actions species.