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Informing decisions on an extremely data poor species facing imminent extinction
- Source :
- Oryx. 53:484-490
- Publication Year :
- 2017
- Publisher :
- Cambridge University Press (CUP), 2017.
-
Abstract
- Some of the species that are believed to have the highest probability of extinction are also amongst the most poorly known, and this makes it extremely difficult to decide how to spend scarce resources. Assessments of conservation status made on the basis of loss or degradation of habitat and lack of records may provide compelling indications of a decline in geographical range and population size, but they do not help identify where conservation action might be best targeted. Methods for assessing the probability of extinction and for modelling species’ distributions exist, but their data requirements often exceed the information that is available for some of the most urgent conservation cases. Here we use all available information (localities, expert information, climate and landcover) about a high-priority Vietnamese bird species (Edwards's pheasant Lophura edwardsi) to assess objectively the probability of its persistence, and where surveys or other conservation action should be targeted. It is clear that the species is on the threshold of extinction and there is an urgent need to survey Bach Ma National Park (including the extension) and to consider surveying Ke Go Nature Reserve. This approach has potential to help identify where conservation action should be targeted for other Critically Endangered species for which there is an extreme scarcity of information.
- Subjects :
- 0106 biological sciences
Nature reserve
Extinction
National park
010604 marine biology & hydrobiology
media_common.quotation_subject
Population size
010603 evolutionary biology
01 natural sciences
Scarcity
Critically endangered
Geography
Habitat
Conservation status
Environmental planning
Ecology, Evolution, Behavior and Systematics
Nature and Landscape Conservation
media_common
Subjects
Details
- ISSN :
- 13653008 and 00306053
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Oryx
- Accession number :
- edsair.doi...........344059c0f12e5723691c385ab07567ae
- Full Text :
- https://doi.org/10.1017/s0030605317000813