论文标题
部分可观测时空混沌系统的无模型预测
Wetland Quality as a Determinant of Economic Value of Ecosystem Services: an Exploration
论文作者
论文摘要
湿地质量是确定湿地商品和服务价值的关键因素。但是,在许多有关湿地估值的研究中,湿地质量被忽略了。尽管这些研究可能会给当地人提供有用的信息以进行决策,但他们缺乏湿地质量信息可能会导致将湿地质量整合到诸如荟萃分析之类的跨研究研究中的困难。在荟萃分析中,统计回归函数需要从那些单独的研究中退出进行分析和预测。这项研究将湿地质量因子(一种关键但经常错过的因素)引入了荟萃分析,并同时考虑了其他影响因素,例如研究方法,社会经济状态和其他湿地现场特征。因此,预期将具有更准确和有效的元回归函数。由于主要研究中没有明显的质量信息,因此我们从研究环境中提取两种湿地状态为相对但全球一致的质量测量,作为探索湿地质量对生态系统服务价值的影响的第一步。
Wetland quality is a critical factor in determining values of wetland goods and services. However, in many studies on wetland valuation, wetland quality has been ignored. While those studies might give useful information to the local people for decision-making, their lack of wetland quality information may lead to the difficulty in integrating wetland quality into a cross-studies research like meta-analysis. In a meta-analysis, a statistical regression function needs withdrawing from those individual studies for analysis and prediction. This research introduces the wetland quality factor, a critical but frequently missed factor, into a meta-analysis and simultaneously considers other influential factors, such as study method, socio-economic state and other wetland site characteristics, as well. Thus, a more accurate and valid meta-regression function is expected. Due to no obvious quality information in primary studies, we extract two kinds of wetland states from the study context as relative but globally consistent quality measurement to use in the analysis, as the first step to explore the effect of wetland quality on values of ecosystem services.