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Estimating illegal fishing from enforcement officers.
Donlan, C Josh; Wilcox, Chris; Luque, Gloria M; Gelcich, Stefan.
Affiliation
  • Donlan CJ; Advanced Conservation Strategies, Midway, UT, 84049, USA. jdonlan@advancedconservation.org.
  • Wilcox C; Cornell Lab of Ornithology, Cornell University, Ithaca, NY, 14850, USA. jdonlan@advancedconservation.org.
  • Luque GM; CSIRO Oceans and Atmosphere, Castray Esplanade, Hobart, TAS, Australia.
  • Gelcich S; Advanced Conservation Strategies, Midway, UT, 84049, USA.
Sci Rep ; 10(1): 12478, 2020 07 27.
Article in En | MEDLINE | ID: mdl-32719385
ABSTRACT
While illegal, unreported, and unregulated (IUU) fishing is a premier issue facing ocean sustainability, characterizing it is challenging due to its clandestine nature. Current approaches can be resource intensive and sometimes controversial. Using Chile as an example, we present a structured process leveraging existing capacity, fisheries officers, that provides a monitoring tool to produce transparent and stand-alone estimates on the level, structure, and characteristics of illegal fishing. We provide a national illegal fishing baseline for Chile, estimating illegal activity for 20 fisheries, representing ~ 70% of annual national landings. For four fisheries, we also estimate the relative importance of illegal activities across sectors, stakeholders, and infrastructure. While providing new information, our results also confirm previous evidence on the general patterns of illegality. Our approach provides an opportunity for government agencies to formalize their institutional knowledge, while accounting for potential biases and reducing fragmentation of knowledge that can prevent effective enforcement. Estimating illegal activity directly from fisheries enforcement officers is complementary to existing approaches, providing a cost-effective, rapid, and rigorous method to measure, monitor, and inform solutions to reduce IUU fishing.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States