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Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska
Managers need information about the vulnerability of historical plant communities, and their potential future conditions, to respond appropriately to landscape change driven by global climate change. We model the climate envelopes of plant communities on the Kenai Peninsula in Southcentral Alaska an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306222/ https://www.ncbi.nlm.nih.gov/pubmed/30586421 http://dx.doi.org/10.1371/journal.pone.0208883 |
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author | Magness, Dawn Robin Morton, John M. |
author_facet | Magness, Dawn Robin Morton, John M. |
author_sort | Magness, Dawn Robin |
collection | PubMed |
description | Managers need information about the vulnerability of historical plant communities, and their potential future conditions, to respond appropriately to landscape change driven by global climate change. We model the climate envelopes of plant communities on the Kenai Peninsula in Southcentral Alaska and forecast to 2020, 2050, and 2080. We assess 6 model outputs representing downscaled climate data from 3 global climate model outputs and 2 representative concentration pathways. We use two lines of evidence, model convergence and empirically measured rates of change, to identify the following plausible ecological trajectories for the peninsula: (1.) alpine tundra and sub-alpine shrub decrease, (2.) perennial snow and ice decrease, (3.) forests remain on the Kenai Lowlands, (4.) the contiguous white-Lutz-Sitka spruce complex declines, and (5.) mixed conifer afforestation occurs along the Gulf of Alaska coast. We suggest that converging models in the context of other lines of evidence is a viable approach to increase certainty for adaptation planning. Extremely dynamic areas with multiple outcomes (i.e., disagreement) among models represent ecological risk, but may also represent opportunities for facilitated adaptation and other managerial approaches to help tip the balance one way or another. By reducing uncertainty, this eclectic approach can be used to inform expectations about the future. |
format | Online Article Text |
id | pubmed-6306222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63062222019-01-08 Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska Magness, Dawn Robin Morton, John M. PLoS One Research Article Managers need information about the vulnerability of historical plant communities, and their potential future conditions, to respond appropriately to landscape change driven by global climate change. We model the climate envelopes of plant communities on the Kenai Peninsula in Southcentral Alaska and forecast to 2020, 2050, and 2080. We assess 6 model outputs representing downscaled climate data from 3 global climate model outputs and 2 representative concentration pathways. We use two lines of evidence, model convergence and empirically measured rates of change, to identify the following plausible ecological trajectories for the peninsula: (1.) alpine tundra and sub-alpine shrub decrease, (2.) perennial snow and ice decrease, (3.) forests remain on the Kenai Lowlands, (4.) the contiguous white-Lutz-Sitka spruce complex declines, and (5.) mixed conifer afforestation occurs along the Gulf of Alaska coast. We suggest that converging models in the context of other lines of evidence is a viable approach to increase certainty for adaptation planning. Extremely dynamic areas with multiple outcomes (i.e., disagreement) among models represent ecological risk, but may also represent opportunities for facilitated adaptation and other managerial approaches to help tip the balance one way or another. By reducing uncertainty, this eclectic approach can be used to inform expectations about the future. Public Library of Science 2018-12-26 /pmc/articles/PMC6306222/ /pubmed/30586421 http://dx.doi.org/10.1371/journal.pone.0208883 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Magness, Dawn Robin Morton, John M. Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title | Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title_full | Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title_fullStr | Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title_full_unstemmed | Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title_short | Using climate envelope models to identify potential ecological trajectories on the Kenai Peninsula, Alaska |
title_sort | using climate envelope models to identify potential ecological trajectories on the kenai peninsula, alaska |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306222/ https://www.ncbi.nlm.nih.gov/pubmed/30586421 http://dx.doi.org/10.1371/journal.pone.0208883 |
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