Conservation Letters | |
Estimating IUCN Red List population reduction: JARA—A decision‐support tool applied to pelagic sharks | |
Cassandra L. Rigby1  Henning Winker2  Holly K. Kindsvater3  Nicholas K. Dulvy4  Jamie S. Yin4  Riley Pollom4  Nathan Pacoureau4  Richard B. Sherley5  Katelyn Herman6  John K. Carlson7  Peter M. Kyne8  | |
[1] College of Science and Engineering and Centre for Sustainable Tropical Fisheries and Aquaculture James Cook University Queensland Australia;Department of Environment Forestry and Fisheries (DEFF) Cape Town South Africa;Department of Fish and Wildlife Conservation Virginia Polytechnic Institute and State University Blacksburg Virginia USA;Earth to Ocean Research Group, Department of Biological Sciences Simon Fraser University Burnaby British Columbia Canada;Environment and Sustainability Institute, College of Life and Environmental Sciences University of Exeter Cornwall UK;Georgia Aquarium Atlanta Georgia USA;NOAA National Marine Fisheries Service, Southeast Fisheries Science Center Panama City Laboratory Panama City Florida USA;Research Institute for the Environment and Livelihoods Charles Darwin University Darwin Northern Territory Australia; | |
关键词: Bayesian state–space model; biodiversity conservation; demography; elasmobranch; extinction risk; population decline; | |
DOI : 10.1111/conl.12688 | |
来源: DOAJ |
【 摘 要 】
Abstract The International Union for Conservation of Nature's (IUCN) Red List is the global standard for quantifying extinction risk but assessing population reduction (criterion A) of wide‐ranging, long‐lived marine taxa remains difficult and controversial. We show how Bayesian state–space models (BSSM), coupled with expert knowledge at IUCN Red List workshops, can combine regional abundance data into indices of global population change. To illustrate our approach, we provide examples of the process to assess four circumglobal sharks with differing temporal and spatial data‐deficiency: Blue Shark (Prionace glauca), Shortfin Mako (Isurus oxyrinchus), Dusky Shark (Carcharhinus obscurus), and Great Hammerhead (Sphyrna mokarran). For each species, the BSSM provided global population change estimates over three generation lengths bounded by uncertainty levels in intuitive outputs, enabling informed decisions on the status of each species. Integrating similar analyses into future workshops would help conservation practitioners ensure robust, consistent, and transparent Red List assessments for other long‐lived, wide‐ranging species.
【 授权许可】
Unknown