Identifying conservation priorities and management strategies based on ecosystem services to improve urban sustainability in Harbin, China

PeerJ

article

Yi Qu¹  Ming Lu¹ 

[1] Heilongjiang Cold Region Urban-Rural Human Settlements Science Key Laboratory, School of Architecture, Harbin Institute of Technology;National and Local Joint Laboratory of Wetland and Ecological Conservation, Institute of Natural Resources and Ecology, Heilongjiang Academy of Sciences

关键词: Conservation priority;    Ecosystem services;    Management strategy;    Systematic conservation planning;    Urban sustainability;    Irreplaceability analysis;   

DOI  :  10.7717/peerj.4597

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

Rapid urbanization and agricultural development has resulted in the degradation of ecosystems, while also negatively impacting ecosystem services (ES) and urban sustainability. Identifying conservation priorities for ES and applying reasonable management strategies have been found to be effective methods for mitigating this phenomenon. The purpose of this study is to propose a comprehensive framework for identifying ES conservation priorities and associated management strategies for these planning areas. First, we incorporated 10 ES indicators within a systematic conservation planning (SCP) methodology in order to identify ES conservation priorities with high irreplaceability values based on conservation target goals associated with the potential distribution of ES indicators. Next, we assessed the efficiency of the ES conservation priorities for meeting the designated conservation target goals. Finally, ES conservation priorities were clustered into groups using a K-means clustering analysis in an effort to identify the dominant ES per location before formulating management strategies. We effectively identified 12 ES priorities to best represent conservation target goals for the ES indicators. These 12 priorities had a total areal coverage of 13,364 km2 representing 25.16% of the study area. The 12 priorities were further clustered into five significantly different groups (p-values between groups < 0.05), which helped to refine management strategies formulated to best enhance ES across the study area. The proposed method allows conservation and management plans to easily adapt to a wide variety of quantitative ES target goals within urban and agricultural areas, thereby preventing urban and agriculture sprawl and guiding sustainable urban development.

【 授权许可】

CC BY