The role of spatial structure in at-risk metapopulation recoveries.

density dependence dispersal endangered species metapopulation theory population dynamics recovery regimes spatial structure

Journal

Ecological applications : a publication of the Ecological Society of America
ISSN: 1051-0761
Titre abrégé: Ecol Appl
Pays: United States
ID NLM: 9889808

Informations de publication

Date de publication:
09 2023
Historique:
revised: 01 05 2023
received: 15 06 2022
accepted: 24 05 2023
medline: 4 9 2023
pubmed: 12 6 2023
entrez: 12 6 2023
Statut: ppublish

Résumé

Metapopulations are often managed as a single contiguous population despite the spatial structure underlying their local and regional dynamics. Disturbances from human activities can also be spatially structured with mortality impacts concentrated to just a few local populations among the aggregate. Scale transitions between local and regional processes can generate emergent properties whereby the whole system can fail to recover as quickly as expected for an equivalent single population. Here, we draw on theory and empirical case studies to ask: what is the consequence of spatially structured ecological and disturbance processes on metapopulation recoveries? We suggest that exploring this question could help address knowledge gaps for managing metapopulations including: Why do some metapopulations recover quickly while others remain collapsed? And, what risks are unaccounted for when metapopulations are managed at aggregate scales? First, we used model simulations to examine how scale transitions among ecological and disturbance conditions interact to generate emergent metapopulation recovery outcomes. In general, we found that the spatial structure of disturbance was a strong determinant of recovery outcomes. Specifically, disturbances that unevenly impacted local populations consistently generated the slowest recoveries and highest conservation risks. Ecological conditions that dampened metapopulation recoveries included low dispersal, variable local demography, sparsely connected habitat networks, and spatially and temporally correlated stochastic processes. Second, we illustrate the unexpected challenges of managing metapopulations by examining the recoveries of three USA federally listed endangered species: Florida Everglade snail kites, California and Alaska sea otters, and Snake River Chinook salmon. Overall, our results show the pivotal role of spatial structure in metapopulation recoveries whereby the interplay between local and regional processes shapes the resilience of the whole system. With this understanding, we provide guidelines for resource managers tasked with conserving and managing metapopulations and identify opportunities for research to support the application of metapopulation theory to real-world challenges.

Identifiants

pubmed: 37303288
doi: 10.1002/eap.2898
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2898

Informations de copyright

© 2023 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of The Ecological Society of America.

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Auteurs

Kyle L Wilson (KL)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Central Coast Indigenous Resource Alliance, Campbell River, British Columbia, Canada.

Alexandra C Sawyer (AC)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Anna Potapova (A)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Colin J Bailey (CJ)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Daniella LoScerbo (D)

Cooperative Resource Management Institute, Fisheries and Oceans Canada, School of Resource & Environmental Management, Simon Fraser University, Burnaby, British Columbia, Canada.

Elissa K Sweeney-Bergen (EK)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Emma E Hodgson (EE)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Kara J Pitman (KJ)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Karl M Seitz (KM)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Lauren K Law (LK)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Luke Warkentin (L)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Samantha M Wilson (SM)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

William I Atlas (WI)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.

Douglas C Braun (DC)

Cooperative Resource Management Institute, Fisheries and Oceans Canada, School of Resource & Environmental Management, Simon Fraser University, Burnaby, British Columbia, Canada.

Matthew R Sloat (MR)

Wild Salmon Center, Portland, Oregon, USA.

M Tim Tinker (MT)

Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, USA.

Jonathan W Moore (JW)

Earth to Ocean Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, Canada.
Cooperative Resource Management Institute, Fisheries and Oceans Canada, School of Resource & Environmental Management, Simon Fraser University, Burnaby, British Columbia, Canada.

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