TY - JOUR
T1 - Integrating telemetry and point observations to inform management and conservation of migratory marine species
AU - Liang, Dong
AU - Bailey, Helen
AU - Hoover, Aimee L.
AU - Eckert, Scott
AU - Zarate, Patricia
AU - Alfaro-Shigueto, Joanna
AU - Mangel, Jeffrey C.
AU - de Paz Campos, Nelly
AU - Davila, Javier Quinones
AU - Barturen, David Sarmiento
AU - Rguez-Baron, Juan M.
AU - Fahy, Christina
AU - Rocafuerte, Amanda
AU - Veelenturf, Callie
AU - Abrego, Marino
AU - Shillinger, George L.
N1 - Publisher Copyright:
© 2023 The Authors. Ecosphere published by Wiley Periodicals LLC on behalf of The Ecological Society of America.
PY - 2023/1
Y1 - 2023/1
N2 - Species distribution models have been widely used in both terrestrial and marine systems, and applications have included invasive species management, evaluating potential effects of climate change, and conservation. Generally, only a single type of data can be accommodated within the model structures used, which may lead to higher uncertainty in the predictions when the data are sparse. In this case, it can be beneficial to pool data from multiple sources and data types, such as fishery observations and telemetry data. An integrated species distribution model (ISDM) utilizes data integration methods that address the challenges of harnessing multiple data types to estimate species distribution. In this study, an ISDM approach was developed to link turtle locations gathered as part of fishery observations with those derived from satellite telemetry in the East Pacific Ocean to enhance our understanding of a highly migratory and endangered marine species, the leatherback turtle (Dermochelys coriacea). These models were developed to support a dynamic management tool, South Pacific TurtleWatch, to identify high-risk areas of management concern and help inform bycatch reduction efforts for this critically endangered species. This data fusion approach could be applied to other populations and species for which telemetry and other point source data are available.
AB - Species distribution models have been widely used in both terrestrial and marine systems, and applications have included invasive species management, evaluating potential effects of climate change, and conservation. Generally, only a single type of data can be accommodated within the model structures used, which may lead to higher uncertainty in the predictions when the data are sparse. In this case, it can be beneficial to pool data from multiple sources and data types, such as fishery observations and telemetry data. An integrated species distribution model (ISDM) utilizes data integration methods that address the challenges of harnessing multiple data types to estimate species distribution. In this study, an ISDM approach was developed to link turtle locations gathered as part of fishery observations with those derived from satellite telemetry in the East Pacific Ocean to enhance our understanding of a highly migratory and endangered marine species, the leatherback turtle (Dermochelys coriacea). These models were developed to support a dynamic management tool, South Pacific TurtleWatch, to identify high-risk areas of management concern and help inform bycatch reduction efforts for this critically endangered species. This data fusion approach could be applied to other populations and species for which telemetry and other point source data are available.
KW - Southeast Pacific
KW - data fusion
KW - dynamic Poisson process
KW - habitat-based model
KW - leatherback
KW - specie distribution modeling
KW - telemetry
UR - http://www.scopus.com/inward/record.url?scp=85147146774&partnerID=8YFLogxK
U2 - 10.1002/ecs2.4375
DO - 10.1002/ecs2.4375
M3 - Artículo
AN - SCOPUS:85147146774
SN - 2150-8925
VL - 14
JO - Ecosphere
JF - Ecosphere
IS - 1
M1 - e4375
ER -