A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
A comparative analysis of ecosystem services valuation approaches for application at the local scale and in data scarce regions
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DOI：
10.1016/j.ecoser.2016.10.015
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发表时间：
2016-12
影响因子：
7.6
通讯作者：
B. Pandeya;W. Buytaert;Z. Zulkafli;Timon Karpouzoglou;Feng Mao;D. Hannah
中科院分区：
文献类型：
--
作者：
B. Pandeya;W. Buytaert;Z. Zulkafli;Timon Karpouzoglou;Feng Mao;D. Hannah
尽管生态系统服务概念在科学和政策领域的发展取得了重大进展，但对生态系统服务进行评估以指导可持续发展仍然具有挑战性，特别是在地方规模和数据稀缺地区。在本文中，我们回顾和比较了过去和现在的主要评估方法，并讨论了它们的主要优势和弱点，以指导政策决策。为了处理不同估值方法中使用的方法的复杂性，我们的综述使用了多个切入点：数据模拟、栖息地与系统、基于地点、特定与整个投资组合、局部与区域规模以及货币与非货币。我们发现，尽管大多数估值方法在宏观/系统层面上解释生态系统服务是有用的，但与当地相关的估值方法的应用仍然受到数据稀缺的阻碍，该方法允许与决策相关的更综合的估值。空间上明确的政策支持系统的出现特别显示出充分利用现有数据和模拟的希望。数据收集对于当地规模和数据稀缺地区仍然至关重要。利用基于公民科学的数据和知识联产可以支持综合评估，同时使评估过程更具包容性、可复制性和政策导向。
Despite significant advances in the development of the ecosystem services concept across the science and policy arenas, the valuation of ecosystem services to guide sustainable development remains challenging, especially at a local scale and in data scarce regions. In this paper, we review and compare major past and current valuation approaches and discuss their key strengths and weaknesses for guiding policy decisions. To deal with the complexity of methods used in different valuation approaches, our review uses multiple entry points: datavssimulation, habitatvssystemvsplace-based, specificvsentire portfolio, localvsregional scale, and monetaryvsnon-monetary. We find that although most valuation approaches are useful to explain ecosystem services at a macro/system level, an application of locally relevant valuation approaches, which allows for a more integrated valuation relevant to decision making is still hindered by data-scarcity. The advent of spatially explicit policy support systems shows particular promise to make the best use of available data and simulations. Data collection remains crucial for the local scale and in data scarce regions. Leveraging citizen science-based data and knowledge co-generation may support the integrated valuation, while at the same time making the valuation process more inclusive, replicable and policy-oriented.