Anthropogenic land-use legacies underpin climate change-related risks to forest ecosystems
(2023) In Trends in Plant Science 28(10). p.1132-1143- Abstract
Forest ecosystems with long-lasting human imprints can emerge worldwide as outcomes of land-use cessation. However, the interaction of these anthropogenic legacies with climate change impacts on forests is not well understood. Here, we set out how anthropogenic land-use legacies that persist in forest properties, following alterations in forest distribution, structure, and composition, can interact with climate change stressors. We propose a risk-based framework to identify anthropogenic legacies of land uses in forest ecosystems and quantify the impact of their interaction with climate-related stress on forest responses. Considering anthropogenic land-use legacies alongside environmental drivers of forest ecosystem dynamics will... (More)
Forest ecosystems with long-lasting human imprints can emerge worldwide as outcomes of land-use cessation. However, the interaction of these anthropogenic legacies with climate change impacts on forests is not well understood. Here, we set out how anthropogenic land-use legacies that persist in forest properties, following alterations in forest distribution, structure, and composition, can interact with climate change stressors. We propose a risk-based framework to identify anthropogenic legacies of land uses in forest ecosystems and quantify the impact of their interaction with climate-related stress on forest responses. Considering anthropogenic land-use legacies alongside environmental drivers of forest ecosystem dynamics will improve our predictive capacity of climate-related risks to forests and our ability to promote ecosystem resilience to climate change.
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- author
- Vilà-Cabrera, Albert
; Astigarraga, Julen
LU
; Jump, Alistair S ; Zavala, Miguel A ; Seijo, Francisco ; Sperlich, Dominik and Ruiz-Benito, Paloma
- publishing date
- 2023-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Humans, Ecosystem, Climate Change, Forests, Trees
- in
- Trends in Plant Science
- volume
- 28
- issue
- 10
- pages
- 12 pages
- publisher
- Elsevier
- external identifiers
-
- pmid:37263916
- scopus:85160546362
- ISSN
- 1360-1385
- DOI
- 10.1016/j.tplants.2023.04.014
- language
- English
- LU publication?
- no
- additional info
- Copyright © 2023 Elsevier Ltd. All rights reserved.
- id
- c0d3b406-1da3-46b7-966f-367c35abb61b
- date added to LUP
- 2025-02-25 14:21:43
- date last changed
- 2025-07-17 02:37:22
@article{c0d3b406-1da3-46b7-966f-367c35abb61b, abstract = {{<p>Forest ecosystems with long-lasting human imprints can emerge worldwide as outcomes of land-use cessation. However, the interaction of these anthropogenic legacies with climate change impacts on forests is not well understood. Here, we set out how anthropogenic land-use legacies that persist in forest properties, following alterations in forest distribution, structure, and composition, can interact with climate change stressors. We propose a risk-based framework to identify anthropogenic legacies of land uses in forest ecosystems and quantify the impact of their interaction with climate-related stress on forest responses. Considering anthropogenic land-use legacies alongside environmental drivers of forest ecosystem dynamics will improve our predictive capacity of climate-related risks to forests and our ability to promote ecosystem resilience to climate change.</p>}}, author = {{Vilà-Cabrera, Albert and Astigarraga, Julen and Jump, Alistair S and Zavala, Miguel A and Seijo, Francisco and Sperlich, Dominik and Ruiz-Benito, Paloma}}, issn = {{1360-1385}}, keywords = {{Humans; Ecosystem; Climate Change; Forests; Trees}}, language = {{eng}}, number = {{10}}, pages = {{1132--1143}}, publisher = {{Elsevier}}, series = {{Trends in Plant Science}}, title = {{Anthropogenic land-use legacies underpin climate change-related risks to forest ecosystems}}, url = {{http://dx.doi.org/10.1016/j.tplants.2023.04.014}}, doi = {{10.1016/j.tplants.2023.04.014}}, volume = {{28}}, year = {{2023}}, }