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Difficult climate-adaptive decisions in forests as complex social–ecological systems

Climate change threatens the social, ecological, and economic benefits enjoyed by forest-dependent communities worldwide. Climate-adaptive forest management strategies such as genomics-based assisted migration (AM) may help protect many of these threatened benefits. However, such novel technological...

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Autores principales: Findlater, Kieran, Kozak, Robert, Hagerman, Shannon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794824/
https://www.ncbi.nlm.nih.gov/pubmed/35042791
http://dx.doi.org/10.1073/pnas.2108326119
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author Findlater, Kieran
Kozak, Robert
Hagerman, Shannon
author_facet Findlater, Kieran
Kozak, Robert
Hagerman, Shannon
author_sort Findlater, Kieran
collection PubMed
description Climate change threatens the social, ecological, and economic benefits enjoyed by forest-dependent communities worldwide. Climate-adaptive forest management strategies such as genomics-based assisted migration (AM) may help protect many of these threatened benefits. However, such novel technological interventions in complex social–ecological systems will generate new risks, benefits, and uncertainties that interact with diverse forest values and preexisting risks. Using data from 16 focus groups in British Columbia, Canada, we show that different stakeholders (forestry professionals, environmental nongovernmental organizations, local government officials, and members of local business communities) emphasize different kinds of risks and uncertainties in judging the appropriateness of AM. We show the difficulty of climate-adaptive decisions in complex social–ecological systems in which both climate change and adaptation will have widespread and cascading impacts on diverse nonclimate values. Overarching judgments about AM as an adaptation strategy, which may appear simple when elicited in surveys or questionnaires, require that participants make complex trade-offs among multiple domains of uncertain and unknown risks. Overall, the highest-priority forest management objective for most stakeholders is the health and integrity of the forest ecosystem from which all other important forest values derive. The factor perceived as riskiest is our lack of knowledge of how forest ecosystems work, which hinders stakeholders in their assessment of AM’s acceptability. These results are further evidence of the inherent risk in privileging natural science above other forms of knowledge at the science–policy interface. When decisions are framed as technical, the normative and ethical considerations that define our fundamental goals are made invisible.
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spelling pubmed-87948242022-07-18 Difficult climate-adaptive decisions in forests as complex social–ecological systems Findlater, Kieran Kozak, Robert Hagerman, Shannon Proc Natl Acad Sci U S A Social Sciences Climate change threatens the social, ecological, and economic benefits enjoyed by forest-dependent communities worldwide. Climate-adaptive forest management strategies such as genomics-based assisted migration (AM) may help protect many of these threatened benefits. However, such novel technological interventions in complex social–ecological systems will generate new risks, benefits, and uncertainties that interact with diverse forest values and preexisting risks. Using data from 16 focus groups in British Columbia, Canada, we show that different stakeholders (forestry professionals, environmental nongovernmental organizations, local government officials, and members of local business communities) emphasize different kinds of risks and uncertainties in judging the appropriateness of AM. We show the difficulty of climate-adaptive decisions in complex social–ecological systems in which both climate change and adaptation will have widespread and cascading impacts on diverse nonclimate values. Overarching judgments about AM as an adaptation strategy, which may appear simple when elicited in surveys or questionnaires, require that participants make complex trade-offs among multiple domains of uncertain and unknown risks. Overall, the highest-priority forest management objective for most stakeholders is the health and integrity of the forest ecosystem from which all other important forest values derive. The factor perceived as riskiest is our lack of knowledge of how forest ecosystems work, which hinders stakeholders in their assessment of AM’s acceptability. These results are further evidence of the inherent risk in privileging natural science above other forms of knowledge at the science–policy interface. When decisions are framed as technical, the normative and ethical considerations that define our fundamental goals are made invisible. National Academy of Sciences 2022-01-18 2022-01-25 /pmc/articles/PMC8794824/ /pubmed/35042791 http://dx.doi.org/10.1073/pnas.2108326119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
Findlater, Kieran
Kozak, Robert
Hagerman, Shannon
Difficult climate-adaptive decisions in forests as complex social–ecological systems
title Difficult climate-adaptive decisions in forests as complex social–ecological systems
title_full Difficult climate-adaptive decisions in forests as complex social–ecological systems
title_fullStr Difficult climate-adaptive decisions in forests as complex social–ecological systems
title_full_unstemmed Difficult climate-adaptive decisions in forests as complex social–ecological systems
title_short Difficult climate-adaptive decisions in forests as complex social–ecological systems
title_sort difficult climate-adaptive decisions in forests as complex social–ecological systems
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8794824/
https://www.ncbi.nlm.nih.gov/pubmed/35042791
http://dx.doi.org/10.1073/pnas.2108326119
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