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Mapping an Indicator Species of Sea-Level Rise along the Forest–Marsh Ecotone

Author

Listed:
  • Bryanna Norlin

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Andrew E. Scholl

    (Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Andrea L. Case

    (Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA)

  • Timothy J. Assal

    (Department of Geography, Kent State University, Kent, OH 44242, USA
    Bureau of Land Management, National Operations Center, Denver, CO 80225, USA)

Abstract

Atlantic White Cedar ( Chamaecyparis thyoides ) (AWC) anchors a globally threatened ecosystem that is being impacted by climate change, as these trees are vulnerable to hurricane events, sea-level rises, and increasing salinity at the forest–marsh ecotone. In this study, we determined the current amount and distribution of AWC in an area that is experiencing sea-level rises that are higher than the global average rate. We used a combination of a field investigation and aerial photo interpretation to identify known locations of AWC, then integrated Sentinel-1 and 2A satellite data with abiotic variables into a species distribution model. We developed a spectral signature of AWC to aid in our understanding of phenology differences from nearby species groups. The selected model had an out-of-bag error of 7.2%, and 8 of the 11 variables retained in the final model were derived from remotely sensed data, highlighting the importance of including temporal data to exploit divergent phenology. Model predictions were strong in live AWC stands and, accurately, did not predict live AWC in stands that experienced high levels of mortality after Hurricane Sandy. The model presented in this study provides high utility for AWC management and tracking mortality dynamics within stands after disturbances such as hurricanes.

Suggested Citation

  • Bryanna Norlin & Andrew E. Scholl & Andrea L. Case & Timothy J. Assal, 2024. "Mapping an Indicator Species of Sea-Level Rise along the Forest–Marsh Ecotone," Land, MDPI, vol. 13(10), pages 1-20, September.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:10:p:1551-:d:1485137
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    References listed on IDEAS

    as
    1. Paulo De Marco Júnior & Caroline Corrêa Nóbrega, 2018. "Evaluating collinearity effects on species distribution models: An approach based on virtual species simulation," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-25, September.
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