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Setting spatial conservation priorities despite incomplete data for characterizing metapopulations.

A H Fullerton1, S Anzalone2, P Moran1

  • 1Fish Ecology and Conservation Biology Divisions, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 2725 Montlake Boulevard E, Seattle, Washington, 98125, USA.

Ecological Applications : a Publication of the Ecological Society of America
|November 20, 2016
PubMed
Summary
This summary is machine-generated.

Conservation strategies for spatially structured species are challenged by limited data. This study shows that metapopulation structure estimates vary with data completeness and type, impacting management decisions for species like Chinook salmon.

Keywords:
Oncorhynchus tshawytschaChinook salmonSnake River, USAconservationdispersalsource-sink dynamicsspatial structureuncertainty

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Area of Science:

  • Ecology
  • Conservation Biology
  • Population Dynamics

Background:

  • Managing spatially structured species is complex due to insufficient empirical data on population interactions.
  • Assumptions about connectivity and source-sink dynamics often rely on incomplete or modeled data, hindering conservation goal evaluation.

Purpose of the Study:

  • To assess how metapopulation structure estimates change based on population size, dispersal probability, and data inclusion.
  • To compare conservation outcomes of different management strategies targeting metapopulation processes.
  • To illustrate these concepts using Chinook salmon in the Snake River.

Main Methods:

  • Evaluated the response of estimated metapopulation structure to varying population size and dispersal probability estimates.
  • Compared outcomes of alternative management strategies focused on metapopulation processes.
  • Utilized empirical and modeled data sources to estimate dispersal probabilities.

Main Results:

  • Metapopulation structure estimates showed significant variation with incomplete population data and different data sources for dispersal.
  • Responses to population size estimates were more consistent across different data scenarios.
  • Alternative management strategies revealed trade-offs in connectivity and source dominance.

Conclusions:

  • Monitoring should target all populations periodically and key populations frequently, collecting diverse data types when possible.
  • Ensemble analyses of available datasets aid conservation planning with incomplete or variable data quality.
  • Understanding trade-offs in management strategies is crucial for selecting less risky approaches for metapopulation conservation.