Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management
Identifying the relative importance of different socio-ecological drivers that affect the ecosystem services (ESs) clusters provides a potential opportunity for spatially targeted policy design. Taking Central Asia (CA) as a case study, the spatiotemporal distribution of seven ESs was evaluated at t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2021-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac12ef |
| _version_ | 1797747595074863104 |
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| author | Jiangyue Li Chi Zhang Xi Chen |
| author_facet | Jiangyue Li Chi Zhang Xi Chen |
| author_sort | Jiangyue Li |
| collection | DOAJ |
| description | Identifying the relative importance of different socio-ecological drivers that affect the ecosystem services (ESs) clusters provides a potential opportunity for spatially targeted policy design. Taking Central Asia (CA) as a case study, the spatiotemporal distribution of seven ESs was evaluated at the state level, and then a principal component analysis and k -means clustering were applied to explore the ES clusters. Based on Spearman’s correlation coefficients, the trade-offs and synergies relationship between ESs were analyzed at the different ES clusters scales. A redundancy analysis (RDA) was used to determine the relative contribution of socio-ecological factors affecting the distribution of ES clusters. The ES quantification revealed the spatial consistency and separation among different types of ESs. Similarities and differences of the trade-offs and synergies among ESs existed in five ES clusters (i.e. ‘ESC1: agricultural cluster’, ‘ESC2: carbon cluster’, ‘ESC3: sand fixation cluster’, ‘ESC4: habitat cluster’ and ‘ESC5: Soil and water cluster’). Pairwise water yield, soil retention, carbon storage and net primary production had good synergetic relationships in ESC1, ESC2, ESC4 and ESC5; sand fixation displayed negative correlations with other ESs in all ESCs; and the trade-offs relationships existed between food production and habitat quality in ESC1, ESC2 and ESC5. The RDA demonstrated that the explanatory power of the ecological variables (e.g. climate and vegetation) to the spatial distribution of ES clusters was much higher than that of the socio-economic variables (e.g. population and GDP). An important information/recommendation provided by this study is that ES clusters should be treated as the basic ecological management unit in CA, and different management strategies should be designed in accordance to the major interactions among the ESs in each ES cluster. |
| first_indexed | 2024-03-12T15:53:44Z |
| format | Article |
| id | doaj.art-711aa7c95b8746c4b09fefc08a38c3c4 |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:53:44Z |
| publishDate | 2021-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-711aa7c95b8746c4b09fefc08a38c3c42023-08-09T15:02:30ZengIOP PublishingEnvironmental Research Letters1748-93262021-01-0116808405310.1088/1748-9326/ac12efExploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted managementJiangyue Li0Chi Zhang1Xi Chen2State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences , Urumqi, People’s Republic of China; University of Chinese Academy of Sciences , Beijing, People’s Republic of ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences , Urumqi, People’s Republic of China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences , Urumqi, People’s Republic of China; Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University , Linyi 276000, People’s Republic of ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences , Urumqi, People’s Republic of China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences , Urumqi, People’s Republic of ChinaIdentifying the relative importance of different socio-ecological drivers that affect the ecosystem services (ESs) clusters provides a potential opportunity for spatially targeted policy design. Taking Central Asia (CA) as a case study, the spatiotemporal distribution of seven ESs was evaluated at the state level, and then a principal component analysis and k -means clustering were applied to explore the ES clusters. Based on Spearman’s correlation coefficients, the trade-offs and synergies relationship between ESs were analyzed at the different ES clusters scales. A redundancy analysis (RDA) was used to determine the relative contribution of socio-ecological factors affecting the distribution of ES clusters. The ES quantification revealed the spatial consistency and separation among different types of ESs. Similarities and differences of the trade-offs and synergies among ESs existed in five ES clusters (i.e. ‘ESC1: agricultural cluster’, ‘ESC2: carbon cluster’, ‘ESC3: sand fixation cluster’, ‘ESC4: habitat cluster’ and ‘ESC5: Soil and water cluster’). Pairwise water yield, soil retention, carbon storage and net primary production had good synergetic relationships in ESC1, ESC2, ESC4 and ESC5; sand fixation displayed negative correlations with other ESs in all ESCs; and the trade-offs relationships existed between food production and habitat quality in ESC1, ESC2 and ESC5. The RDA demonstrated that the explanatory power of the ecological variables (e.g. climate and vegetation) to the spatial distribution of ES clusters was much higher than that of the socio-economic variables (e.g. population and GDP). An important information/recommendation provided by this study is that ES clusters should be treated as the basic ecological management unit in CA, and different management strategies should be designed in accordance to the major interactions among the ESs in each ES cluster.https://doi.org/10.1088/1748-9326/ac12efecosystem serviceclusterstrade-offs and synergiesdriving factorsCentral Asia |
| spellingShingle | Jiangyue Li Chi Zhang Xi Chen Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management Environmental Research Letters ecosystem service clusters trade-offs and synergies driving factors Central Asia |
| title | Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management |
| title_full | Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management |
| title_fullStr | Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management |
| title_full_unstemmed | Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management |
| title_short | Exploring the relative importance of socio-ecological factors to ecosystem services clusters: a support to spatially targeted management |
| title_sort | exploring the relative importance of socio ecological factors to ecosystem services clusters a support to spatially targeted management |
| topic | ecosystem service clusters trade-offs and synergies driving factors Central Asia |
| url | https://doi.org/10.1088/1748-9326/ac12ef |
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