Abstract：
With the growing concerns about the protection of ecosystem functions and services, governments have developed public policies and organizations have produced an awesome volume of digital data freely available through their websites. On the other hand, advances in data acquisition through remote sensed sources and processing through geographic information systems (GIS) and statistical tools, allowed an unprecedent capacity to manage ecosystems efficiently. However, the real-world scenario in that regard remains paradoxically challenging. The reasons can be many and diverse, but a strong candidate relates with the limited engagement among the interest parties that hampers bringing all these assets into action. The aim of the study is to demonstrate that management of ecosystem services can be significantly improved by integrating existing environmental policies with environmental big data and low-cost GIS and data processing tools. Using the Upper Rio das Velhas hydrographic basin located in the state of Minas Gerais (Brazil) as example, the study demonstrated how Principal Components Analysis based on a diversity of environmental variables assembled sub-basins into urban, agriculture, mining and heterogeneous profiles, directing management of ecosystem services to the most appropriate officially established conservation plans. The use of GIS tools, on the other hand, allowed narrowing the implementation of each plan to specific sub-basins. This optimized allocation of preferential management plans to priority areas was discussed for a number of conservation plans. A paradigmatic example was the so-called Conservation Use Potential (CUP) devoted to the protection of aquifer recharge (provision service) and control of water erosion (regulation service), as well as to the allocation of uses as function of soil capability (support service). In all cases, the efficiency gains in readiness for plans\' implementation and economy of resources were prognosed as noteworthy.
摘要：
随着人们对保护生态系统功能和服务的日益关注，政府制定了公共政策，组织通过其网站免费提供了大量数字数据。另一方面,通过遥感源获取数据以及通过地理信息系统（GIS）和统计工具进行处理的进展，允许前所未有的能力来有效地管理生态系统。然而,这方面的现实世界仍然自相矛盾。原因可能是多种多样的，但是一个强有力的候选人与利益方之间的有限参与有关，这阻碍了所有这些资产的行动。该研究的目的是证明通过将现有的环境政策与环境大数据以及低成本的GIS和数据处理工具相结合，可以显着改善生态系统服务的管理。以位于米纳斯吉拉斯州（巴西）的上RiodasVelhas水文盆地为例，这项研究展示了基于环境变量多样性的主成分分析如何将子流域组装成城市，农业,采矿和异质概况，将生态系统服务的管理指导到最合适的官方制定的保护计划。GIS工具的使用，另一方面,允许将每个计划的实施范围缩小到特定的子盆地。针对许多保护计划，讨论了将优惠管理计划优化分配到优先区域的方法。一个典型的例子是所谓的保护使用潜力（CUP），专门用于保护含水层补给（提供服务）和控制水蚀（调节服务），以及根据土壤能力分配用途(支持服务)。在所有情况下,计划实施准备效率的提高和资源的节约被认为是值得注意的。
