Using fisheries observation data to develop a predictive species distribution model for endangered sea turtles-Reference-Cited by-同舟云学术

Using fisheries observation data to develop a predictive species distribution model for endangered sea turtles

Published:2021-01-06 Issue:2 Volume:3 Page:
ISSN:2578-4854
Container-title:Conservation Science and Practice
language:en
Short-container-title:Conservat Sci and Prac

Author:

Degenford Jennie Hannah¹,Liang Dong¹^ORCID,Bailey Helen¹,Hoover Aimee L.¹²,Zarate Patricia³^ORCID,Azócar Jorge³,Devia Daniel³,Alfaro‐Shigueto Joanna⁴⁵,Mangel Jeffery C.⁴⁵,de Paz Nelly⁶,Davila Javier Quinones⁷,Barturen David Sarmiento⁷,Rguez‐Baron Juan M.⁸⁹,Williard Amanda S.⁹,Fahy Christina¹⁰,Barbour Nicole¹²,Shillinger George L.²¹¹

Affiliation:

1. Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Solomons Maryland USA

2. Upwell, Heritage Harbor Complex Monterey California USA

3. Instituto de Fomento Pesquero Valparaíso Región de Valparaíso Chile

4. ProDelphinus Lima Peru

5. Marine Turtle Research Group, Centre for Ecology and Conservation University of Exeter Penryn Cornwall UK

6. Areas Costeras y Recursos Marinos Pisco Peru

7. Laboratorio Costero de Pisco, Instituto del Mar del Perú Paracas Peru

8. JUSTSEA Foundation Bogota Colombia

9. Department of Biology and Marine Biology University of North Carolina Wilmington Wilmington North Carolina USA

10. Protected Resources Division, West Coast Regional Office National Marine Fisheries Service Long Beach California USA

11. MigraMar Benito Juárez Ciudad de México Mexico