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The impact of proxy-based methods on mapping the distribution of ecosystem services

机译:基于代理的方法对生态系统服务分布图的影响

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摘要

1. An increasing number of studies are examining the distribution and congruence of ecosystem services, often with the goal of identifying areas that will provide multiple ecosystem service 'hotspots'. However, there is a paucity of data on most ecosystem services, so proxies (e.g. estimates of a service for a particular land cover type) are frequently used to map their distribution. To date, there has been little attempt to quantify the effects of using proxies on distribution maps of ecosystem services, despite the potentially large errors associated with such data sets.\ud\ud2. Here, we provide the first study examining the effects of using proxies on ecosystem service maps and the degree of spatial congruence of these maps with primary data, using England as a case study.\ud\ud3. We show that land cover based proxies provide a poor fit to primary data surfaces for biodiversity, recreation and carbon storage, and that correlations between ecosystem services change depending on whether primary or proxy data are used for the analyses.\ud\ud4. The poor fit of proxies to primary data was also evident when we selected hotspots of single ecosystem services, and consistency between raw and modelled surfaces was extremely low when considering the locations that were coincident hotspots for multiple services.\ud\ud5. Synthesis and applications. Proxies may be suitable for identifying broad-scale trends in ecosystem services, but even relatively good proxies are likely to be unsuitable for identifying hotspots or priority areas for multiple services.\ud
机译:1.越来越多的研究正在研究生态系统服务的分布和一致性,其目的通常是确定将提供多个生态系统服务“热点”的区域。但是,关于大多数生态系统服务的数据很少,因此经常使用代理(例如,针对特定土地覆盖类型的服务估算)来绘制其分布图。迄今为止,尽管存在与此类数据集相关的潜在大误差,但几乎没有尝试量化使用代理对生态系统服务分布图的影响。在这里,我们提供了第一个研究,即使用英格兰作为案例研究,研究了使用代理对生态系统服务地图的影响以及这些地图与原始数据的空间一致性程度。\ ud \ ud3。我们显示,基于土地覆盖的代理不能很好地适合生物多样性,娱乐活动和碳存储的主要数据表面,并且生态系统服务之间的相关性会根据是使用主要数据还是使用代理数据进行更改。\ ud \ ud4。当我们选择单一生态系统服务的热点时,代理与原始数据的拟合度也很差,并且当考虑到多个服务重合的热点位置时,原始和建模表面之间的一致性非常低。\ ud \ ud5。综合与应用。代理可能适合识别生态系统服务的广泛趋势,但是即使相对较好的代理也可能不适合识别多个服务的热点或优先区域。

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