Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years
Ecosystem services and ecological risk prevention are important factors that influence for sustainable socio-economic development. In recent years, fewer studies, and practices have been conducted on the value of ecosystem services and ecological risk management in larger regions, and the mechanisms...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-12-01
|
| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23012086 |
| _version_ | 1797657918944837632 |
|---|---|
| author | Yali Zhang Xijun Hu Baojing Wei Xuan Zhang Liang Tang Cunyou Chen Yezi Wang Xianjun Yang |
| author_facet | Yali Zhang Xijun Hu Baojing Wei Xuan Zhang Liang Tang Cunyou Chen Yezi Wang Xianjun Yang |
| author_sort | Yali Zhang |
| collection | DOAJ |
| description | Ecosystem services and ecological risk prevention are important factors that influence for sustainable socio-economic development. In recent years, fewer studies, and practices have been conducted on the value of ecosystem services and ecological risk management in larger regions, and the mechanisms of their interactions have not been adequately investigated. The central southern region of China is in a stage of high-quality development, and Hunan Province in this region is used as an example to investigate the interaction mechanism between ecosystem service value (ESV) and landscape ecological risk (LER)as well as to generate new ideas for coordinated and sustainable regional socioeconomic development. This study developed an evaluation model of ESV and LER by synthesizing multi-source data of Hunan Province from 1990 to 2020 and further revealed the interaction mechanism between ESV and LER. We found the following: (1) Hunan Province experienced rapid urbanization, and both ESV and LER showed increasing trends. A complex and significant positive correlation was observed between these two variables. (2) The ESV in Hunan Province showed an overall increasing trend from 1990 to 2020, and each level of ESV was distributed from high to low, with the core of the high value area spreading outward. ESV gradually decreased after 2010, when urban expansion was rapid. (3) The LER level in Hunan Province shifted from medium-low risk to high risk, the risk level gradually increased, and the overall distribution pattern of each level was high in the north and south and low in the surroundings. (4) There were four types of spatial correlations at the local scale: high value and high risk, high value and low risk, low value and high risk, and low value and low risk. Based on these results, an ecological risk prevention zoning plan was developed for Hunan Province. This study contributes to understanding of the interactive and synergistic relationship between ESV and LER in Hunan Province, which is critical for optimizing sustainable economic and social development. |
| first_indexed | 2024-03-11T17:51:29Z |
| format | Article |
| id | doaj.art-eec828555b1f42f1a012eca93f70147a |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-11T17:51:29Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-eec828555b1f42f1a012eca93f70147a2023-10-18T04:30:32ZengElsevierEcological Indicators1470-160X2023-12-01156111066Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 yearsYali Zhang0Xijun Hu1Baojing Wei2Xuan Zhang3Liang Tang4Cunyou Chen5Yezi Wang6Xianjun Yang7College of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, China; Technology Innovation Center for Ecological Protection and Restoration in Dongting Lake Basin, Changsha 410004, ChinaCollege of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, China; Corresponding author at: Central South University of Forestry and Technology, Changsha, Hunan 410004, China.College of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, China; Technology Innovation Center for Ecological Protection and Restoration in Dongting Lake Basin, Changsha 410004, China; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, Central South University of Forestry and Technology, Changsha 410004, ChinaCollege of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, ChinaCollege of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, ChinaCollege of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, ChinaCollege of Landscape Architecture & Hunan Big Data Engineering Research Center of Natural Protected Areas Landscape Resources & Institute of Urban and Rural Landscape Ecology, Central South University of Forestry and Technology, Yuelushan Laboratory Carbon Sinks Forests Variety Innovation Center, Changsha 410004, ChinaShaoyang University, Shaoyang 422000, ChinaEcosystem services and ecological risk prevention are important factors that influence for sustainable socio-economic development. In recent years, fewer studies, and practices have been conducted on the value of ecosystem services and ecological risk management in larger regions, and the mechanisms of their interactions have not been adequately investigated. The central southern region of China is in a stage of high-quality development, and Hunan Province in this region is used as an example to investigate the interaction mechanism between ecosystem service value (ESV) and landscape ecological risk (LER)as well as to generate new ideas for coordinated and sustainable regional socioeconomic development. This study developed an evaluation model of ESV and LER by synthesizing multi-source data of Hunan Province from 1990 to 2020 and further revealed the interaction mechanism between ESV and LER. We found the following: (1) Hunan Province experienced rapid urbanization, and both ESV and LER showed increasing trends. A complex and significant positive correlation was observed between these two variables. (2) The ESV in Hunan Province showed an overall increasing trend from 1990 to 2020, and each level of ESV was distributed from high to low, with the core of the high value area spreading outward. ESV gradually decreased after 2010, when urban expansion was rapid. (3) The LER level in Hunan Province shifted from medium-low risk to high risk, the risk level gradually increased, and the overall distribution pattern of each level was high in the north and south and low in the surroundings. (4) There were four types of spatial correlations at the local scale: high value and high risk, high value and low risk, low value and high risk, and low value and low risk. Based on these results, an ecological risk prevention zoning plan was developed for Hunan Province. This study contributes to understanding of the interactive and synergistic relationship between ESV and LER in Hunan Province, which is critical for optimizing sustainable economic and social development.http://www.sciencedirect.com/science/article/pii/S1470160X23012086Ecosystem service valueLandscape ecological riskSpatiotemporal changeInteractive relationshipHunan Province |
| spellingShingle | Yali Zhang Xijun Hu Baojing Wei Xuan Zhang Liang Tang Cunyou Chen Yezi Wang Xianjun Yang Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years Ecological Indicators Ecosystem service value Landscape ecological risk Spatiotemporal change Interactive relationship Hunan Province |
| title | Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years |
| title_full | Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years |
| title_fullStr | Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years |
| title_full_unstemmed | Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years |
| title_short | Spatiotemporal exploration of ecosystem service value, landscape ecological risk, and their interactive relationship in Hunan Province, Central-South China, over the past 30 years |
| title_sort | spatiotemporal exploration of ecosystem service value landscape ecological risk and their interactive relationship in hunan province central south china over the past 30 years |
| topic | Ecosystem service value Landscape ecological risk Spatiotemporal change Interactive relationship Hunan Province |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23012086 |
| work_keys_str_mv | AT yalizhang spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT xijunhu spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT baojingwei spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT xuanzhang spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT liangtang spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT cunyouchen spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT yeziwang spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years AT xianjunyang spatiotemporalexplorationofecosystemservicevaluelandscapeecologicalriskandtheirinteractiverelationshipinhunanprovincecentralsouthchinaoverthepast30years |