Identifying conservation priorities and management strategies based on ecosystem services to improve urban sustainability in Harbin, China.
Identifying conservation priorities and management strategies based on ecosystem services to improve urban sustainability in Harbin, China.
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确定基于生态系统服务的保护优先事项和管理策略，以提高中国哈尔滨的城市可持续性
作者：
Qu Y;Lu M
快速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。确定生态系统的保护重点和合理的管理策略是缓解这一现象的有效方法。本研究的目的是提出一个全面的框架，以确定生态系统的保护优先事项和相关的管理策略，这些规划区。首先，我们纳入了10 ES指标系统的保护规划（SCP）的方法，以确定ES保护优先级与高不可替代价值的基础上保护目标的目标与潜在的分布ES指标。接下来，我们评估了生态系统保护优先级的效率，以满足指定的保护目标。最后，ES保护的优先事项被聚类成组，使用K-均值聚类分析，努力确定每个位置的优势ES制定管理策略之前。我们有效地确定了12个ES优先级，以最好地代表ES指标的保护目标。这12个优先项目的总面积为13，364平方公里，占研究面积的25.16%。12个优先事项进一步分为五个显著不同的组（组间p值< 0.05），这有助于完善管理战略，制定最好的提高整个研究领域的ES。所提出的方法允许保护和管理计划，以方便地适应各种各样的定量ES的目标，在城市和农业地区，从而防止城市和农业蔓延，并指导可持续的城市发展。
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.
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