Methods to estimate marine functional connectivity: A primer
28 affiliations
- 1School of Life Sciences, University of Essex Essex UK
- 2Marine and Environmental Sciences Centre, Department of Biology, Faculty of Sciences University of Lisbon Lisbon Portugal
- 3Ifremer, Station de Sète Sète Cedex France
- 4Institut de Ciències del Mar (ICM‐CSIC) Barcelona Catalan Country Spain
- 5Estonian Marine Institute, University of Tartu Tallinn Estonia
- 6School of Biology, Faculty of Biological Sciences University of Leeds Leeds UK
- 7School of the Environment, University of Queensland Brisbane Queensland Australia
- 8Centro de Investigación Mariña, Future Oceans Lab Universidade de Vigo Vigo Spain
- 9Marine and Freshwater Research Centre, Atlantic Technological University (ATU), ATU Galway City Galway Ireland
- 10ICATMAR Barcelona Spain
- 11Department of Ichthyology and Fisheries Science Rhodes University Makhanda Eastern Cape South Africa
- 12Department of Biological, Geological and Environmental Science University of Bologna Ravenna Italy
- 13Centre for Biological Diversity School of Biology, University of St Andrews St Andrews UK
- 14School of Biological Sciences, Adelaide University Adelaide South Australia Australia
- 15Instituto Español de Oceanografía (CSIC), Centro Oceanografico de Santander Santander Spain
- 16CNRS‐Sorbonne Université, Laboratoire d'Ecogéochimie des Environnements Benthiques LECOB Banyuls‐sur‐Mer France
- 17National Institute of Oceanography, Israel Oceanographic and Limnological Research Haifa Israel
- 18Thünen Institute of Baltic Sea Fisheries Rostock Germany
- 19Fisheries and Aquatic Ecosystems Branch, Agri‐Food and Biosciences Institute Belfast UK
- 20Royal Belgium Institute of Natural Sciences Brussels Belgium
- 21Department of Fisheries Technology Engineering Karadeniz Technical University Trabzon Turkey
- 22Department of Ecology and Hydrology and Regional Campus of International Excellence “Mare Nostrum” University of Murcia Murcia Spain
- 23Australian Institute of Marine Science Cape Cleveland Queensland Australia
- 24University of Maryland Center for Environmental Science (UMCES) Cambridge Maryland USA
- 25Department of Fisheries Resources National Marine Fisheries Research Institute Gdynia Poland
- 26Ocean and Earth Science University of Southampton Southampton UK
- 27Department of Life Sciences Texas A&M University – Corpus Christi Corpus Christi Texas USA
- 28MARBEC, University of Montpellier, CNRS, IRD, Ifremer Montpellier France
Abstract
Organism movement is a key process in the transfer of individuals, genes, functional traits, matter, and energy among habitat patches, at sea and across the land-sea interface. The resulting fluxes, collectively termed marine functional connectivity (MFC), underpin planetary health and an array of ecosystem services. The ecological and economic impacts of rapid environmental change, including climate change, overexploitation, habitat loss and fragmentation, and the global transport of nonindigenous species make accurate estimation and prediction of MFC patterns paramount. However, estimating MFC is challenging given the relative inaccessibility of the oceans and the small size of many of the organisms and life stages with the highest dispersal potential. Here, we provide a methodological roadmap to help researchers and stakeholders understand, use, and integrate different tools to estimate organism movement and connectivity, focusing on (1) tagging and telemetry, (2) analysis of chemical markers in body tissues and structures, (3) genetics, and (4) numerical modeling. We describe method strengths and weaknesses, and the spatiotemporal resolution and scale of resulting connectivity estimates. Ancillary and emerging methods to estimate MFC are also reviewed. We then present case studies that have successfully applied or integrated different methods, particularly to support (1) marine protected area design, (2) global change predictions, focusing on climate change and bioinvasions, and (3) fisheries management. Finally, we highlight methodological innovations and concepts that promise to transform MFC research in the future.
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BibTeX
@article{sturrock2026methods,
title = {{Methods to estimate marine functional connectivity: A primer}},
author = {Anna M. Sturrock and Susanne E. Tanner and Sophie Arnaud‐Haond and Jacopo Aguzzi and Francisco R. Barboza and Maria Beger and Andreu Blanco and Deirdre Brophy and Marta Carretón and A-R Childs and Federica Costantini and Oscar E. Gaggiotti and Bronwyn May Gillanders and José Manuel González‐Irusta and Katell Guizien and Tamar Guy‐Haim and Stefanie Haase and Ewan Hunter and Jonne Kotta and Geneviève Lacroix and Rafet Çağrı Öztürk and Ángel Pérez‐Ruzafa and Patrick Reis‐Santos and Cynthia Riginos and Gil Rilov and Baruch Rinkevich and Guiomar Rotllant and David H. Secor and Szymon Smoliński and Clive N. Trueman and Benjamin D. Walther and Audrey M. Darnaude},
journal = {Ecological Applications},
year = {2026},
month = jun,
doi = {10.1002/eap.70273},
url = {https://doi.org/10.1002/eap.70273},
note = {CC BY},
}
RIS
TY - JOUR
TI - Methods to estimate marine functional connectivity: A primer
AU - Anna M. Sturrock
AU - Susanne E. Tanner
AU - Sophie Arnaud‐Haond
AU - Jacopo Aguzzi
AU - Francisco R. Barboza
AU - Maria Beger
AU - Andreu Blanco
AU - Deirdre Brophy
AU - Marta Carretón
AU - A-R Childs
AU - Federica Costantini
AU - Oscar E. Gaggiotti
AU - Bronwyn May Gillanders
AU - José Manuel González‐Irusta
AU - Katell Guizien
AU - Tamar Guy‐Haim
AU - Stefanie Haase
AU - Ewan Hunter
AU - Jonne Kotta
AU - Geneviève Lacroix
AU - Rafet Çağrı Öztürk
AU - Ángel Pérez‐Ruzafa
AU - Patrick Reis‐Santos
AU - Cynthia Riginos
AU - Gil Rilov
AU - Baruch Rinkevich
AU - Guiomar Rotllant
AU - David H. Secor
AU - Szymon Smoliński
AU - Clive N. Trueman
AU - Benjamin D. Walther
AU - Audrey M. Darnaude
PY - 2026
DA - 2026/06/01
JO - Ecological Applications
DO - 10.1002/eap.70273
UR - https://doi.org/10.1002/eap.70273
AB - Organism movement is a key process in the transfer of individuals, genes, functional traits, matter, and energy among habitat patches, at sea and across the land-sea interface. The resulting fluxes, collectively termed marine functional connectivity (MFC), underpin planetary health and an array of ecosystem services. The ecological and economic impacts of rapid environmental change, including climate change, overexploitation, habitat loss and fragmentation, and the global transport of nonindigenous species make accurate estimation and prediction of MFC patterns paramount. However, estimating MFC is challenging given the relative inaccessibility of the oceans and the small size of many of the organisms and life stages with the highest dispersal potential. Here, we provide a methodological roadmap to help researchers and stakeholders understand, use, and integrate different tools to estimate organism movement and connectivity, focusing on (1) tagging and telemetry, (2) analysis of chemical markers in body tissues and structures, (3) genetics, and (4) numerical modeling. We describe method strengths and weaknesses, and the spatiotemporal resolution and scale of resulting connectivity estimates. Ancillary and emerging methods to estimate MFC are also reviewed. We then present case studies that have successfully applied or integrated different methods, particularly to support (1) marine protected area design, (2) global change predictions, focusing on climate change and bioinvasions, and (3) fisheries management. Finally, we highlight methodological innovations and concepts that promise to transform MFC research in the future.
SN - 1051-0761
SN - 1939-5582
ER -