Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains
The Qinling Mountains, known for high forest cover and multiple ecosystem services (ES), present significant potential for advancing ecological management (EM) paradigms. However, existing studies on matching long-term ES sequences with governance units remain limited. By quantifying the assemblage...
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/272 |
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| author | Yan Zhao Yiping Chen Wenqi Wu Hanwen Tian Huiwen Zhang |
| author_facet | Yan Zhao Yiping Chen Wenqi Wu Hanwen Tian Huiwen Zhang |
| author_sort | Yan Zhao |
| collection | DOAJ |
| description | The Qinling Mountains, known for high forest cover and multiple ecosystem services (ES), present significant potential for advancing ecological management (EM) paradigms. However, existing studies on matching long-term ES sequences with governance units remain limited. By quantifying the assemblage and clustering patterns of ecosystems in the Qinling Mountains over forty years, this study was innovative in analyzing changes in long-term ecosystem interactions and the impact of spatialization drivers, enhancing the significance of administrative-scale adaptations for sustained conservation and EM strategies. The results showed an increasing trend in the multiple ES Landscape Index (MESLI) since 2000. Spatialized trend analysis showed that the MESLI increased by 58.8% in the east. Moreover, the potential of ES bundles (ESB) in matching ecological management scales was demonstrated. Three ESBs were identified at different administrative levels and townships were more responsive to ESB changes. The composite ESB 1 dominated at 50.2%, and ESB 2 exhibited an upward trend. Additionally, spatial analysis of long-term drivers revealed the underlying causes of local ES degradation. Climate change had region-wide impacts, while natural and anthropogenic factors contributed to localized degradation. These findings emphasize the critical role of spatiotemporal analysis in shaping township-level EM strategies in multi-ES regions, providing feasible guidance for accurately enhancing localized management. |
| format | Article |
| id | doaj-art-922c75f9cae4483bbf7628ac314beca1 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-922c75f9cae4483bbf7628ac314beca12025-01-24T13:47:57ZengMDPI AGRemote Sensing2072-42922025-01-0117227210.3390/rs17020272Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling MountainsYan Zhao0Yiping Chen1Wenqi Wu2Hanwen Tian3Huiwen Zhang4State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, ChinaState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, ChinaState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, ChinaState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, ChinaState Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, ChinaThe Qinling Mountains, known for high forest cover and multiple ecosystem services (ES), present significant potential for advancing ecological management (EM) paradigms. However, existing studies on matching long-term ES sequences with governance units remain limited. By quantifying the assemblage and clustering patterns of ecosystems in the Qinling Mountains over forty years, this study was innovative in analyzing changes in long-term ecosystem interactions and the impact of spatialization drivers, enhancing the significance of administrative-scale adaptations for sustained conservation and EM strategies. The results showed an increasing trend in the multiple ES Landscape Index (MESLI) since 2000. Spatialized trend analysis showed that the MESLI increased by 58.8% in the east. Moreover, the potential of ES bundles (ESB) in matching ecological management scales was demonstrated. Three ESBs were identified at different administrative levels and townships were more responsive to ESB changes. The composite ESB 1 dominated at 50.2%, and ESB 2 exhibited an upward trend. Additionally, spatial analysis of long-term drivers revealed the underlying causes of local ES degradation. Climate change had region-wide impacts, while natural and anthropogenic factors contributed to localized degradation. These findings emphasize the critical role of spatiotemporal analysis in shaping township-level EM strategies in multi-ES regions, providing feasible guidance for accurately enhancing localized management.https://www.mdpi.com/2072-4292/17/2/272multiple ecosystem servicesQinling Mountainsbundlesscale effectsdriving factorsecological management |
| spellingShingle | Yan Zhao Yiping Chen Wenqi Wu Hanwen Tian Huiwen Zhang Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains Remote Sensing multiple ecosystem services Qinling Mountains bundles scale effects driving factors ecological management |
| title | Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains |
| title_full | Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains |
| title_fullStr | Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains |
| title_full_unstemmed | Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains |
| title_short | Township-Level Ecological Management for Enhanced Ecosystem Services in the Qinling Mountains |
| title_sort | township level ecological management for enhanced ecosystem services in the qinling mountains |
| topic | multiple ecosystem services Qinling Mountains bundles scale effects driving factors ecological management |
| url | https://www.mdpi.com/2072-4292/17/2/272 |
| work_keys_str_mv | AT yanzhao townshiplevelecologicalmanagementforenhancedecosystemservicesintheqinlingmountains AT yipingchen townshiplevelecologicalmanagementforenhancedecosystemservicesintheqinlingmountains AT wenqiwu townshiplevelecologicalmanagementforenhancedecosystemservicesintheqinlingmountains AT hanwentian townshiplevelecologicalmanagementforenhancedecosystemservicesintheqinlingmountains AT huiwenzhang townshiplevelecologicalmanagementforenhancedecosystemservicesintheqinlingmountains |