Species Distribution 2.0: An Accurate Time- and Cost-Effective Method of Prospection Using Street View Imagery.

ABSTRACT: Species occurrence data provide crucial information for biodiversity studies in the current context of global environmental changes. Such studies often rely on a limited number of occurrence data collected in the field and on pseudo-absences arbitrarily chosen within the study area, which reduces the value of these studies. To overcome this issue, we propose an alternative method of prospection using geo-located street view imagery (SVI). Following a standardised protocol of virtual prospection using both vertical (aerial photographs) and horizontal (SVI) perceptions, we have surveyed 1097 randomly selected cells across Spain (0.1x0.1 degree, i.e. 20% of Spain) for the presence of Arundo donax L. (Poaceae). In total we have detected A. donax in 345 cells, thus substantially expanding beyon

SUBMITTER: Hardion L 

PROVIDER: S-EPMC4709242 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature