Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation?
The restoration of ecosystems provides an important opportunity to improve the provision of ecosystem services. Achieving the maximum possible benefits from restoration with a limited budget requires knowing which places if restored would produce the best combination of improved ecosystem services....
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2020-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ab8f5e |
| _version_ | 1797747535315468288 |
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| author | Ruida Li Hua Zheng Stephen Polasky Peter L Hawthorne Patrick O’Connor Lijuan Wang Ruonan Li Yi Xiao Tong Wu Zhiyun Ouyang |
| author_facet | Ruida Li Hua Zheng Stephen Polasky Peter L Hawthorne Patrick O’Connor Lijuan Wang Ruonan Li Yi Xiao Tong Wu Zhiyun Ouyang |
| author_sort | Ruida Li |
| collection | DOAJ |
| description | The restoration of ecosystems provides an important opportunity to improve the provision of ecosystem services. Achieving the maximum possible benefits from restoration with a limited budget requires knowing which places if restored would produce the best combination of improved ecosystem services. Using an ecosystem services assessment and optimization algorithm, we find choices that generate maximum benefits from ecosystem restoration. We applied a set of weights to integrate multiple services into a unified approach and find the optimal land restoration option given those weights. We then systematically vary the weights to find a Pareto frontier that shows potentially optimal choices and illustrates trade-offs among services. We applied this process to evaluate optimal restoration on Hainan Island, China, a tropical island characterized by multiple ecosystem service hotspots and conditions of poverty. We analyzed restoration opportunities with the goal of increasing a provisioning service, plantation revenue, and several water-related ecosystem services that contribute to improved water quality and flood mitigation. We found obvious spatial inconsistencies in the optimal location for maximizing separate services and tradeoffs in the provision of these services. Optimized land-use patterns greatly out-performed the non-target restoration scheme. When explicit consideration of the importance of poverty alleviation was taken into account, the location of the prioritized areas shifted and trade-offs among services varied. Our study emphasizes the importance of integrating social concerns into land-use planning to mitigate conflicts and improve equity, especially in the areas where poverty and hotspots of biodiversity and ecosystem services are highly geographically coincident. |
| first_indexed | 2024-03-12T15:51:57Z |
| format | Article |
| id | doaj.art-835a76d590b64ee0bca8bce96ac6928a |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:51:57Z |
| publishDate | 2020-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-835a76d590b64ee0bca8bce96ac6928a2023-08-09T15:06:41ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-0115808403910.1088/1748-9326/ab8f5eEcosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation?Ruida Li0https://orcid.org/0000-0003-4206-3184Hua Zheng1Stephen Polasky2Peter L Hawthorne3Patrick O’Connor4Lijuan Wang5Ruonan Li6Yi Xiao7Tong Wu8Zhiyun Ouyang9State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaDepartment of Applied Economics, University of Minnesota , St. Paul, MN 55108, United States of AmericaInstitute on the Environment, University of Minnesota , St. Paul, MN 55108, United States of AmericaCentre for Global Food and Resources, University of Adelaide , Adelaide 5005, AustraliaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of ChinaState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences , Beijing 100085, People’s Republic of China; University of Chinese Academy of Sciences , Beijing 100049, People’s Republic of ChinaThe restoration of ecosystems provides an important opportunity to improve the provision of ecosystem services. Achieving the maximum possible benefits from restoration with a limited budget requires knowing which places if restored would produce the best combination of improved ecosystem services. Using an ecosystem services assessment and optimization algorithm, we find choices that generate maximum benefits from ecosystem restoration. We applied a set of weights to integrate multiple services into a unified approach and find the optimal land restoration option given those weights. We then systematically vary the weights to find a Pareto frontier that shows potentially optimal choices and illustrates trade-offs among services. We applied this process to evaluate optimal restoration on Hainan Island, China, a tropical island characterized by multiple ecosystem service hotspots and conditions of poverty. We analyzed restoration opportunities with the goal of increasing a provisioning service, plantation revenue, and several water-related ecosystem services that contribute to improved water quality and flood mitigation. We found obvious spatial inconsistencies in the optimal location for maximizing separate services and tradeoffs in the provision of these services. Optimized land-use patterns greatly out-performed the non-target restoration scheme. When explicit consideration of the importance of poverty alleviation was taken into account, the location of the prioritized areas shifted and trade-offs among services varied. Our study emphasizes the importance of integrating social concerns into land-use planning to mitigate conflicts and improve equity, especially in the areas where poverty and hotspots of biodiversity and ecosystem services are highly geographically coincident.https://doi.org/10.1088/1748-9326/ab8f5eefficiency frontierspatial weightingecosystem servicespoverty alleviationland-use planning |
| spellingShingle | Ruida Li Hua Zheng Stephen Polasky Peter L Hawthorne Patrick O’Connor Lijuan Wang Ruonan Li Yi Xiao Tong Wu Zhiyun Ouyang Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? Environmental Research Letters efficiency frontier spatial weighting ecosystem services poverty alleviation land-use planning |
| title | Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? |
| title_full | Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? |
| title_fullStr | Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? |
| title_full_unstemmed | Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? |
| title_short | Ecosystem restoration on Hainan Island: can we optimize for enhancing regulating services and poverty alleviation? |
| title_sort | ecosystem restoration on hainan island can we optimize for enhancing regulating services and poverty alleviation |
| topic | efficiency frontier spatial weighting ecosystem services poverty alleviation land-use planning |
| url | https://doi.org/10.1088/1748-9326/ab8f5e |
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