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Ecosystem restoration on Hainan Island

Can we optimize for enhancing regulating services and poverty alleviation

Bibliographic Data

ID15547995
AuthorsRuida Li (0000-0002-4923-3935, Chinese Academy of Sciences), Hua Zheng (0000-0002-3357-9878, Chinese Academy of Sciences, corresponding author), Stephen Polasky (0000-0003-4934-2434, University of Minnesota), Peter Hawthorne (0000-0003-1125-5239, University of Minnesota), Peter L Hawthorne, Patrick O’Connor (0000-0001-6877-2603, The University of Adelaide), Lijuan Wang (0000-0002-2225-6483, Chinese Academy of Sciences), Ruonan Li (0000-0003-2955-0236, Chinese Academy of Sciences), Yi Xiao (0009-0005-4634-6677, Chinese Academy of Sciences), Tong Wu (0000-0001-9666-3324, Chinese Academy of Sciences), Zhiyun Ouyang (0000-0003-0927-0499, Chinese Academy of Sciences)
Year2020
Volume15
Issue8
Pages084039-084039
Publication date2020-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ab8f5e
OpenAlexW3021330699
LanguageEN
Citations received4
References cited56

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

Business · Economics · Ecosystem · Ecosystem services · Environmental economics · Environmental resource management · Natural resource economics · Poverty · Provisioning · Restoration Ecology · Revenue · Computer Science · Conservation, Biodiversity, and Resource Management · Economic and Environmental Valuation · Environmental Science · Land Use and Ecosystem Services · Ecology

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Unique citing works4
Citations per year0,8
Citation span2021 - 2026 (6)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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