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Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool

Open access
Bachman, Steven, Moat, Justin, Hill, Andrew, de la Torre, Javier, Scott, Ben·2011·ZooKeys

Abstract

GeoCAT is an open source, browser based tool that performs rapid geospatial analysis to ease the process of Red Listing taxa. Developed to utilise spatially referenced primary occurrence data, the analysis focuses on two aspects of the geographic range of a taxon: the extent of occurrence (EOO) and the area of occupancy (AOO). These metrics form part of the IUCN Red List categories and criteria and have often proved challenging to obtain in an accurate, consistent and repeatable way. Within a familiar Google Maps environment, GeoCAT users can quickly and easily combine data from multiple sources such as GBIF, Flickr and Scratchpads as well as user generated occurrence data. Analysis is done with the click of a button and is visualised instantly, providing an indication of the Red List threat rating, subject to meeting the full requirements of the criteria. Outputs including the results, data and parameters used for analysis are stored in a GeoCAT file that can be easily reloaded or shared with collaborators. GeoCAT is a first step toward automating the data handling process of Red List assessing and provides a valuable hub from which further developments and enhancements can be spawned.

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Metadata

Authors
Bachman, S., Moat, J., Hill, A., de la Torre, J., & Scott, B.
Venue
ZooKeys
Published
2011-11-28
Volume
150
Issue
150
Pages
117-126
ISSN
  • 1313-2970 (ISSN-L)
  • 1313-2989
OpenAlex
W2035885706
Cited by
2,364
References
9
FWCI
9.73
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool. https://app.cochat.ai/papers/10.3897/zookeys.150.2109
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Bachman, S., Moat, J., Hill, A., de la Torre, J., & Scott, B. (2011). Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool. ZooKeys. https://doi.org/10.3897/zookeys.150.2109

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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