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

机译：确定基于生态系统服务的保护重点和管理策略以改善哈尔滨的城市可持续性

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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.
机译：快速的城市化和农业发展导致生态系统退化，同时也对生态系统服务和城市可持续性产生负面影响。确定ES的保护重点并采用合理的管理策略是缓解这种现象的有效方法。这项研究的目的是为识别这些规划区域的ES保护重点和相关的管理策略提供一个全面的框架。首先，我们在系统性保护规划（SCP）方法中纳入了10个ES指标，以便根据与ES指标潜在分布相关的保护目标目标，确定具有高不可替代性值的ES优先保护。接下来，我们评估了ES保护优先级达到指定保护目标的效率。最后，使用K-means聚类分析将ES保护优先级聚类，以在制定管理策略之前确定每个位置的主要ES。我们有效地确定了12个ES优先事项，以最能代表ES指标的保护目标。这12个优先事项的总覆盖面积为13364 km 2 ，占研究区域的25.16％。这12个优先事项被进一步分为五个显着不同的组（组之间的p值<0.05），这有助于完善制定的管理策略，以最佳地增强整个研究领域的ES。所提出的方法使保护和管理计划能够轻松地适应城乡地区内各种定量的ES目标目标，从而防止城乡农业扩张并指导可持续城市发展。

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