Applications of species distribution modeling and future needs to support marine resource management

TY - JOUR

T1 - Applications of species distribution modeling and future needs to support marine resource management

AU - Karp, Melissa A.

AU - Cimino, Megan

AU - Craig, J. Kevin

AU - Crear, Daniel P.

AU - Haak, Christopher

AU - Hazen, Elliott L.

AU - Kaplan, Isaac

AU - Kobayashi, Donald R.

AU - Moustahfid, Hassan

AU - Muhling, Barbara

AU - Pinsky, Malin L.

AU - Smith, Laurel A.

AU - Thorson, James T.

AU - Woodworth-Jefcoats, Phoebe A.

N1 - Publisher Copyright: Published by Oxford University Press on behalf of International Council for the Exploration of the Sea 2025.

PY - 2025/3/1

Y1 - 2025/3/1

N2 - Fisheries science agencies are responsible for informing fisheries management and ocean planning worldwide, often requiring scientific analysis and management actions across multiple spatial scales. For example, catch limits are typically defined annually over regional scales, fishery bycatch rules are defined at fine spatial scales on daily to annual time scales, and aquaculture and energy lease areas are defined over decades for subregional permitting at intermediate scales. Similarly, these activities require synthesizing monitoring data and mechanistic knowledge operating across different spatial resolutions and domains. These needs drive a growing role for models that predict animal presence or densities at fine spatial scales, including daily, seasonal, and interannual variation, often called species distribution/density models (SDMs). SDMs can inform many ocean management needs; however, their development and usage are often haphazard. In this paper we discuss various ways SDMs can and have been used in stock, habitat, protected species, and ecosystem management activities as well as marine spatial planning, survey optimization, and as an interface with ecosystem and climate models. We conclude with a discussion of future directions, focusing on information needs and current development, and highlight avenues for furthering the community of practice around SDM development and use.

AB - Fisheries science agencies are responsible for informing fisheries management and ocean planning worldwide, often requiring scientific analysis and management actions across multiple spatial scales. For example, catch limits are typically defined annually over regional scales, fishery bycatch rules are defined at fine spatial scales on daily to annual time scales, and aquaculture and energy lease areas are defined over decades for subregional permitting at intermediate scales. Similarly, these activities require synthesizing monitoring data and mechanistic knowledge operating across different spatial resolutions and domains. These needs drive a growing role for models that predict animal presence or densities at fine spatial scales, including daily, seasonal, and interannual variation, often called species distribution/density models (SDMs). SDMs can inform many ocean management needs; however, their development and usage are often haphazard. In this paper we discuss various ways SDMs can and have been used in stock, habitat, protected species, and ecosystem management activities as well as marine spatial planning, survey optimization, and as an interface with ecosystem and climate models. We conclude with a discussion of future directions, focusing on information needs and current development, and highlight avenues for furthering the community of practice around SDM development and use.

KW - climate change

KW - fisheries management

KW - marine spatial planning

KW - species distribution models

KW - stock assessment

UR - https://www.scopus.com/pages/publications/105001199507

UR - https://www.scopus.com/pages/publications/105001199507#tab=citedBy

U2 - 10.1093/icesjms/fsaf024

DO - 10.1093/icesjms/fsaf024

M3 - Article

SN - 1054-3139

VL - 82

JO - ICES Journal of Marine Science

JF - ICES Journal of Marine Science

IS - 3

M1 - fsaf024

ER -