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Anticipating changes in wildlife habitat induced by private forest owners’ adaptation to climate change and carbon policy

Author

Listed:
  • Hashida, Yukiko
  • Withey, John
  • Lewis, David
  • Newman, Tara
  • Kline, Jeffrey

Abstract

Conserving forests to provide ecosystem services and biodiversity will be a key environmental challenge as society strives to adapt to climate change. The ecosystem services and biodiversity that forests provide will be influenced by the behaviors of numerous individual private landowners as they alter their use of forests in response to climate change and any future carbon pricing policies that emerge. We evaluated the impact of forest landowners’ likely adaptation behaviors on potential habitat for 35 terrestrial, forest-dependent vertebrates across three U.S. Pacific states. In particular, we couple a previously estimated empirical-economic model of forest management with spatially explicit species’ range and habitat associations to quantify the effects of adaptation to climate change and carbon pricing on potential habitat for our focal species (amphibians, birds and mammals) drawn from state agency lists of species of conservation concern. We show that both climate change and carbon pricing policies would likely encourage adaptation away from currently prevalent coniferous forest types, such as Douglas-fir, largely through harvest and planting decisions. This would reduce potential habitat for a majority of the focal species we studied across all three vertebrate taxa. The total anticipated habitat loss for amphibians, birds and mammals considered species of state concern would exceed total habitat gained, and the net loss in habitat per decade would accelerate over time. Carbon payments to forest landowners likely would lead to unintended localized habitat losses especially in Douglas-fir dominant forest types, and encourage more hardwoods on private forest lands. Our study highlights potential tradeoffs that could arise from pricing one ecosystem service (e.g., carbon) while leaving others (e.g., wildlife habitat) unpriced. Our study demonstrates the importance of anticipating potential changes in ecosystem services and biodiversity resulting from forest landowners’ climate adaptation behavior and accounting for a broader set of environmental benefits and costs when designing policies to address climate change.

Suggested Citation

  • Hashida, Yukiko & Withey, John & Lewis, David & Newman, Tara & Kline, Jeffrey, 2020. "Anticipating changes in wildlife habitat induced by private forest owners’ adaptation to climate change and carbon policy," MPRA Paper 99695, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:99695
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    File URL: https://mpra.ub.uni-muenchen.de/99695/8/MPRA_paper_99695.pdf
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    References listed on IDEAS

    as
    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. van Kooten, G. Cornelis, 2015. "The Economics of Forest Carbon Sequestration Revisited: A Challenge for Emissions Offset Trading," Working Papers 202542, University of Victoria, Resource Economics and Policy.
    3. Yukiko Hashida & David J. Lewis, 2019. "The Intersection between Climate Adaptation, Mitigation, and Natural Resources: An Empirical Analysis of Forest Management," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(5), pages 893-926.
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    Cited by:

    1. Roy Chowdhury, Pranab K. & Brown, Daniel G., 2023. "Modeling the effects of carbon payments and forest owner cooperatives on carbon storage and revenue in Pacific Northwest forestlands," Land Use Policy, Elsevier, vol. 131(C).
    2. Kline, Jeffrey D. & Houston, Laurie L. & Gray, Andrew N. & Monleon, Vicente, 2021. "Evaluating empirical evidence for housing development effects on the management of remaining private-owned forest in the U.S," Forest Policy and Economics, Elsevier, vol. 124(C).
    3. Hashida, Yukiko & Lewis, David J., 2022. "Estimating welfare impacts of climate change using a discrete-choice model of land management: An application to western U.S. forestry," Resource and Energy Economics, Elsevier, vol. 68(C).

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    More about this item

    Keywords

    climate change; wildlife habitats; forests; ecosystem services; climate change mitigation and adaptation; carbon pricing policy;
    All these keywords.

    JEL classification:

    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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