Using Integrated Population Models To Prioritize Region-Specific Conservation Strategies Under Global Change

BIOLOGICAL CONSERVATION(2020)

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摘要
Accounting for the spatial variation of environmental drivers and demographic mechanisms in population predictions is essential for conservation prioritization under climate and land use changes but is often ignored. We developed an integrated population model (IPM) with region-specific population processes and used the model to prioritize region-specific conservation strategies for northern pintail (Anas acuta; hereafter pintail). Pintail are of high conservation concern in North America due to low productivity related to extensive use of cropland for nesting and wetland (pond) loss related to anthropogenic disturbance and climatic variability. We analyzed 25 years (1990-2014) of pintail breeding population survey, band-recovery, pond count, climate and land use data to estimate regional demography-environment relationships. We then predicted regional population responses under potential future changes in climate, wetland drainage, and agricultural intensification. Our IPM predicted that pintail populations will be sensitive to climate changes throughout the entire study area. Drainage was predicted to have more deleterious impacts in Parkland regions due to more extensive wetland drainage in these regions. Agricultural intensification was predicted to have more deleterious impacts in Saskatchewan-Prairie due to a stronger response of pintail productivity to agricultural intensification in this region. Our study highlights the importance of considering region-specific conservation strategies to accommodate regional variation in future global changes and demographic response to such changes. Our IPM that accommodates spatial variation in environmental changes and demographic responses is flexible for other systems, and thus is highly relevant to diverse studies in conservation prioritization given global change.
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关键词
Climate change, Agricultural land use, Conservation prioritization, Integrative modeling, Demography, Wetland
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