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Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America
Climate change has been identified as the primary threat to the integrity and functioning of ecosystems in this century, although there is still much uncertainty about its effects and the degree of vulnerability for different ecosystems to this threat. Here we propose a new methodological approach c...
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/PMC5858834/ https://www.ncbi.nlm.nih.gov/pubmed/29554132 http://dx.doi.org/10.1371/journal.pone.0194654 |
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author | Anjos, Luciano J. S. de Toledo, Peter Mann |
author_facet | Anjos, Luciano J. S. de Toledo, Peter Mann |
author_sort | Anjos, Luciano J. S. |
collection | PubMed |
description | Climate change has been identified as the primary threat to the integrity and functioning of ecosystems in this century, although there is still much uncertainty about its effects and the degree of vulnerability for different ecosystems to this threat. Here we propose a new methodological approach capable of measuring and mapping the resilience of terrestrial ecosystems at large scales based on their climatic niche. To do this, we used high spatial resolution remote sensing data and ecological niche modeling techniques to calculate and spatialize the resilience of three stable states of ecosystems in South America: forest, savanna, and grassland. Also, we evaluated the sensitivity of ecosystems to climate stress, the likelihood of exposure to non-analogous climatic conditions, and their respective adaptive capacities in the face of climate change. Our results indicate that forests, the most productive and biodiverse terrestrial ecosystems on the earth, are more vulnerable to climate change than savannas or grasslands. Forests showed less resistance to climate stress and a higher chance of exposure to non-analogous climatic conditions. If this scenario occurs, the forest ecosystems would have less chance of adaptation compared to savannas or grasslands because of their narrow climate niche. Therefore, we can conclude that a possible consolidation of non-analogous climatic conditions would lead to a loss of resilience in the forest ecosystem, significantly increasing the chance of a critical transition event to another stable state with a lower density of vegetation cover (e.g., savanna or grassland). |
format | Online Article Text |
id | pubmed-5858834 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58588342018-03-28 Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America Anjos, Luciano J. S. de Toledo, Peter Mann PLoS One Research Article Climate change has been identified as the primary threat to the integrity and functioning of ecosystems in this century, although there is still much uncertainty about its effects and the degree of vulnerability for different ecosystems to this threat. Here we propose a new methodological approach capable of measuring and mapping the resilience of terrestrial ecosystems at large scales based on their climatic niche. To do this, we used high spatial resolution remote sensing data and ecological niche modeling techniques to calculate and spatialize the resilience of three stable states of ecosystems in South America: forest, savanna, and grassland. Also, we evaluated the sensitivity of ecosystems to climate stress, the likelihood of exposure to non-analogous climatic conditions, and their respective adaptive capacities in the face of climate change. Our results indicate that forests, the most productive and biodiverse terrestrial ecosystems on the earth, are more vulnerable to climate change than savannas or grasslands. Forests showed less resistance to climate stress and a higher chance of exposure to non-analogous climatic conditions. If this scenario occurs, the forest ecosystems would have less chance of adaptation compared to savannas or grasslands because of their narrow climate niche. Therefore, we can conclude that a possible consolidation of non-analogous climatic conditions would lead to a loss of resilience in the forest ecosystem, significantly increasing the chance of a critical transition event to another stable state with a lower density of vegetation cover (e.g., savanna or grassland). Public Library of Science 2018-03-19 /pmc/articles/PMC5858834/ /pubmed/29554132 http://dx.doi.org/10.1371/journal.pone.0194654 Text en © 2018 Anjos, de Toledo http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Anjos, Luciano J. S. de Toledo, Peter Mann Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title | Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title_full | Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title_fullStr | Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title_full_unstemmed | Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title_short | Measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in South America |
title_sort | measuring resilience and assessing vulnerability of terrestrial ecosystems to climate change in south america |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858834/ https://www.ncbi.nlm.nih.gov/pubmed/29554132 http://dx.doi.org/10.1371/journal.pone.0194654 |
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