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Population Dynamics in Complex Landscapes: A Case Study.

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    Landscape changes impact avian populations. Spatially explicit models show survivorship, not dispersal, most affects population size and extinction risk in managed forests.

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    Area of Science:

    • Ecology
    • Conservation Biology
    • Population Dynamics

    Background:

    • Habitat fragmentation and landscape changes significantly influence wildlife population abundance and distribution.
    • Conventional models struggle to capture landscape impacts on population dynamics at large scales.
    • Spatially explicit simulation models offer a powerful tool for analyzing these effects.

    Purpose of the Study:

    • To model the effects of habitat dispersion on avian population size and extinction probability in timber-production landscapes.
    • To use Bachman's Sparrow (Aimophila aestivalis) as a case study for a species of management concern.
    • To inform landscape management strategies for enhancing population persistence.

    Main Methods:

    • Developed a spatially explicit simulation model (BACHMAP) incorporating landscape dynamics and species-specific life history traits.
    • Modeled annual changes in habitat suitability based on timber harvest and management strategies.
    • Integrated data on Bachman's Sparrow dispersal, survivorship, and reproductive success.

    Main Results:

    • Demographic variables, particularly adult and juvenile survivorship, had a greater impact on population size than dispersal ability.
    • Changes in survivorship strongly influenced the probability of population extinction.
    • Permanent habitat sources for dispersers increased total population size and reduced extinction risk.

    Conclusions:

    • Landscape management strategies significantly affect avian population persistence.
    • Prioritizing survivorship and maintaining habitat sources are crucial for conserving species like Bachman's Sparrow.
    • Simulation models can guide effective conservation planning in managed ecosystems.