Cargando…
Identification and ranking of environmental threats with ecosystem vulnerability distributions
Responses of ecosystems to human-induced stress vary in space and time, because both stressors and ecosystem vulnerabilities vary in space and time. Presently, ecosystem impact assessments mainly take into account variation in stressors, without considering variation in ecosystem vulnerability. We d...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571148/ https://www.ncbi.nlm.nih.gov/pubmed/28839190 http://dx.doi.org/10.1038/s41598-017-09573-8 |
_version_ | 1783259299490824192 |
---|---|
author | Zijp, Michiel C. Huijbregts, Mark A. J. Schipper, Aafke M. Mulder, Christian Posthuma, Leo |
author_facet | Zijp, Michiel C. Huijbregts, Mark A. J. Schipper, Aafke M. Mulder, Christian Posthuma, Leo |
author_sort | Zijp, Michiel C. |
collection | PubMed |
description | Responses of ecosystems to human-induced stress vary in space and time, because both stressors and ecosystem vulnerabilities vary in space and time. Presently, ecosystem impact assessments mainly take into account variation in stressors, without considering variation in ecosystem vulnerability. We developed a method to address ecosystem vulnerability variation by quantifying ecosystem vulnerability distributions (EVDs) based on monitoring data of local species compositions and environmental conditions. The method incorporates spatial variation of both abiotic and biotic variables to quantify variation in responses among species and ecosystems. We show that EVDs can be derived based on a selection of locations, existing monitoring data and a selected impact boundary, and can be used in stressor identification and ranking for a region. A case study on Ohio’s freshwater ecosystems, with freshwater fish as target species group, showed that physical habitat impairment and nutrient loads ranked highest as current stressors, with species losses higher than 5% for at least 6% of the locations. EVDs complement existing approaches of stressor assessment and management, which typically account only for variability in stressors, by accounting for variation in the vulnerability of the responding ecosystems. |
format | Online Article Text |
id | pubmed-5571148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55711482017-09-01 Identification and ranking of environmental threats with ecosystem vulnerability distributions Zijp, Michiel C. Huijbregts, Mark A. J. Schipper, Aafke M. Mulder, Christian Posthuma, Leo Sci Rep Article Responses of ecosystems to human-induced stress vary in space and time, because both stressors and ecosystem vulnerabilities vary in space and time. Presently, ecosystem impact assessments mainly take into account variation in stressors, without considering variation in ecosystem vulnerability. We developed a method to address ecosystem vulnerability variation by quantifying ecosystem vulnerability distributions (EVDs) based on monitoring data of local species compositions and environmental conditions. The method incorporates spatial variation of both abiotic and biotic variables to quantify variation in responses among species and ecosystems. We show that EVDs can be derived based on a selection of locations, existing monitoring data and a selected impact boundary, and can be used in stressor identification and ranking for a region. A case study on Ohio’s freshwater ecosystems, with freshwater fish as target species group, showed that physical habitat impairment and nutrient loads ranked highest as current stressors, with species losses higher than 5% for at least 6% of the locations. EVDs complement existing approaches of stressor assessment and management, which typically account only for variability in stressors, by accounting for variation in the vulnerability of the responding ecosystems. Nature Publishing Group UK 2017-08-24 /pmc/articles/PMC5571148/ /pubmed/28839190 http://dx.doi.org/10.1038/s41598-017-09573-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zijp, Michiel C. Huijbregts, Mark A. J. Schipper, Aafke M. Mulder, Christian Posthuma, Leo Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title | Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title_full | Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title_fullStr | Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title_full_unstemmed | Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title_short | Identification and ranking of environmental threats with ecosystem vulnerability distributions |
title_sort | identification and ranking of environmental threats with ecosystem vulnerability distributions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5571148/ https://www.ncbi.nlm.nih.gov/pubmed/28839190 http://dx.doi.org/10.1038/s41598-017-09573-8 |
work_keys_str_mv | AT zijpmichielc identificationandrankingofenvironmentalthreatswithecosystemvulnerabilitydistributions AT huijbregtsmarkaj identificationandrankingofenvironmentalthreatswithecosystemvulnerabilitydistributions AT schipperaafkem identificationandrankingofenvironmentalthreatswithecosystemvulnerabilitydistributions AT mulderchristian identificationandrankingofenvironmentalthreatswithecosystemvulnerabilitydistributions AT posthumaleo identificationandrankingofenvironmentalthreatswithecosystemvulnerabilitydistributions |