Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles
The interaction relationship of ecosystem services (ESs) is among the most critical objective in natural resource management. However, a complexity of the spatial heterogeneity of delivering multiple ESs from social-ecological system was seldomly considered. To enhance the linkage between the spatia...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22009268 |
| _version_ | 1811337152929202176 |
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| author | Linlin Wu Caige Sun Fenglei Fan |
| author_facet | Linlin Wu Caige Sun Fenglei Fan |
| author_sort | Linlin Wu |
| collection | DOAJ |
| description | The interaction relationship of ecosystem services (ESs) is among the most critical objective in natural resource management. However, a complexity of the spatial heterogeneity of delivering multiple ESs from social-ecological system was seldomly considered. To enhance the linkage between the spatial concordance and interaction relationship of ESs, we presented a multi-criteria framework for identifying the trade-offs and synergies relationship of ESs. The conceptual steps were to i) divide the ES groups based on different ES bundles, ii) select appropriate methods for each ES bundle based on the number of dominant ESs and iii) determine the trade-offs and synergies relationship of pair-wise ESs among ES bundles. The framework was tested in the Guangdong- Hong Kong- Macao Greater Bay Area (GBA) in the period of 2000 to 2015, which can be implemented by using InVEST model, K-means clustering algorithm and correlation analysis method. The results show that 4 different ES bundles had been identified, which exhibits the spatial distribution of Bundle 1 to Bundle 4 had an extensive trend from central regions to fringe regions in the GBA. Partial correlation analysis and spearman correlation analysis were selected to quantify the trade-off and synergies relationship of ESs for each ES bundle. Meanwhile, the trade-offs and synergies relationship of ESs among each bundle was compared with the total areas of GBA, which exhibits a proportion of conspicuous differences. It indicated the framework could distinguish the spatiotemporal heterogeneity on the trade-offs and synergies relationship of ESs. A favorable application on the GBA underscored the interrelationship of multiple ESs should consider a spatiotemporal variation of the stability and ability to deliver multiple ESs from a social-ecological system. The framework for understanding the interaction relationship presented here offers a feasible workflow to evaluate trade-off strategies and policies of ecosystem management. |
| first_indexed | 2024-04-13T17:50:45Z |
| format | Article |
| id | doaj.art-b1f22fce5e74496c82662941c1578c6d |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-04-13T17:50:45Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-b1f22fce5e74496c82662941c1578c6d2022-12-22T02:36:44ZengElsevierEcological Indicators1470-160X2022-11-01144109453Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundlesLinlin Wu0Caige Sun1Fenglei Fan2School of Geography, South China Normal University, Guangzhou 510631, ChinaSchool of Geography, South China Normal University, Guangzhou 510631, ChinaCorresponding author.; School of Geography, South China Normal University, Guangzhou 510631, ChinaThe interaction relationship of ecosystem services (ESs) is among the most critical objective in natural resource management. However, a complexity of the spatial heterogeneity of delivering multiple ESs from social-ecological system was seldomly considered. To enhance the linkage between the spatial concordance and interaction relationship of ESs, we presented a multi-criteria framework for identifying the trade-offs and synergies relationship of ESs. The conceptual steps were to i) divide the ES groups based on different ES bundles, ii) select appropriate methods for each ES bundle based on the number of dominant ESs and iii) determine the trade-offs and synergies relationship of pair-wise ESs among ES bundles. The framework was tested in the Guangdong- Hong Kong- Macao Greater Bay Area (GBA) in the period of 2000 to 2015, which can be implemented by using InVEST model, K-means clustering algorithm and correlation analysis method. The results show that 4 different ES bundles had been identified, which exhibits the spatial distribution of Bundle 1 to Bundle 4 had an extensive trend from central regions to fringe regions in the GBA. Partial correlation analysis and spearman correlation analysis were selected to quantify the trade-off and synergies relationship of ESs for each ES bundle. Meanwhile, the trade-offs and synergies relationship of ESs among each bundle was compared with the total areas of GBA, which exhibits a proportion of conspicuous differences. It indicated the framework could distinguish the spatiotemporal heterogeneity on the trade-offs and synergies relationship of ESs. A favorable application on the GBA underscored the interrelationship of multiple ESs should consider a spatiotemporal variation of the stability and ability to deliver multiple ESs from a social-ecological system. The framework for understanding the interaction relationship presented here offers a feasible workflow to evaluate trade-off strategies and policies of ecosystem management.http://www.sciencedirect.com/science/article/pii/S1470160X22009268Trade-offs/ synergies relationshipEcosystem service bundlesCorrelation analysisInVESTGuangdong-Hongkong-Macao Greater Bay Areas |
| spellingShingle | Linlin Wu Caige Sun Fenglei Fan Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles Ecological Indicators Trade-offs/ synergies relationship Ecosystem service bundles Correlation analysis InVEST Guangdong-Hongkong-Macao Greater Bay Areas |
| title | Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| title_full | Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| title_fullStr | Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| title_full_unstemmed | Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| title_short | Multi-criteria framework for identifying the trade-offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| title_sort | multi criteria framework for identifying the trade offs and synergies relationship of ecosystem services based on ecosystem services bundles |
| topic | Trade-offs/ synergies relationship Ecosystem service bundles Correlation analysis InVEST Guangdong-Hongkong-Macao Greater Bay Areas |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22009268 |
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