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Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China
Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400385/ https://www.ncbi.nlm.nih.gov/pubmed/32674432 http://dx.doi.org/10.3390/ijerph17145075 |
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author | Shen, Wei Zheng, Zhicheng Qin, Yaochen Li, Yang |
author_facet | Shen, Wei Zheng, Zhicheng Qin, Yaochen Li, Yang |
author_sort | Shen, Wei |
collection | PubMed |
description | Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health. |
format | Online Article Text |
id | pubmed-7400385 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74003852020-08-23 Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China Shen, Wei Zheng, Zhicheng Qin, Yaochen Li, Yang Int J Environ Res Public Health Article Quantitative assessment can scientifically determine the health status of a regional ecosystem, identify regional eco-environmental problems, and assist in promoting regional sustainable development and environmental management. Taking China’s important ecological function region, the Yellow River affected area as an example, this study constructed an extended evaluation index system based on the pressure-state-response framework, and remote sensing and GIS techniques were used to dynamically evaluate the spatial and temporal characteristics of ecosystem health in the study area. Furthermore, influencing factors on ecosystem health in the study area were extensively analyzed using the GeoDetector model. The results show that the ecosystem health level in the study area shows significant spatial heterogeneity from 1995–2015, and showed a fluctuating change process. Areas with large fluctuations in health level were mainly distributed in extreme climate areas, ecologically fragile areas, on plains and in hilly areas. Spatial differences of ecosystem health were well explained by using the biological abundance index, relief degree of land surface, soil type, annual average precipitation, elevation, annual average temperature, and population density. Influencing factors have significant interactive effects on ecosystem health. MDPI 2020-07-14 2020-07 /pmc/articles/PMC7400385/ /pubmed/32674432 http://dx.doi.org/10.3390/ijerph17145075 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shen, Wei Zheng, Zhicheng Qin, Yaochen Li, Yang Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title | Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title_full | Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title_fullStr | Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title_full_unstemmed | Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title_short | Spatiotemporal Characteristics and Driving Force of Ecosystem Health in an Important Ecological Function Region in China |
title_sort | spatiotemporal characteristics and driving force of ecosystem health in an important ecological function region in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7400385/ https://www.ncbi.nlm.nih.gov/pubmed/32674432 http://dx.doi.org/10.3390/ijerph17145075 |
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