A practical guide to the application of the IUCN Red List of Ecosystems criteria

Philos Trans R Soc Lond B Biol Sci. 2015 Feb 19;370(1662):20140003. doi: 10.1098/rstb.2014.0003.

Abstract

The newly developed IUCN Red List of Ecosystems is part of a growing toolbox for assessing risks to biodiversity, which addresses ecosystems and their functioning. The Red List of Ecosystems standard allows systematic assessment of all freshwater, marine, terrestrial and subterranean ecosystem types in terms of their global risk of collapse. In addition, the Red List of Ecosystems categories and criteria provide a technical base for assessments of ecosystem status at the regional, national, or subnational level. While the Red List of Ecosystems criteria were designed to be widely applicable by scientists and practitioners, guidelines are needed to ensure they are implemented in a standardized manner to reduce epistemic uncertainties and allow robust comparisons among ecosystems and over time. We review the intended application of the Red List of Ecosystems assessment process, summarize 'best-practice' methods for ecosystem assessments and outline approaches to ensure operational rigour of assessments. The Red List of Ecosystems will inform priority setting for ecosystem types worldwide, and strengthen capacity to report on progress towards the Aichi Targets of the Convention on Biological Diversity. When integrated with other IUCN knowledge products, such as the World Database of Protected Areas/Protected Planet, Key Biodiversity Areas and the IUCN Red List of Threatened Species, the Red List of Ecosystems will contribute to providing the most complete global measure of the status of biodiversity yet achieved.

Keywords: IUCN Red List of Ecosystems; ecosystem conservation; ecosystem risk assessment; ecosystem types; risk of collapse; threatened ecosystems.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Classification / methods*
  • Conservation of Natural Resources / methods*
  • Ecosystem*
  • Endangered Species / statistics & numerical data*
  • Models, Biological*
  • Risk Assessment / methods*