The valuation of natural capital within individual farms could inform environmentally beneficial land use change and form the basis of agricultural subsidy schemes based on the provision of ecosystem services. Land cover extents can be used in a benefit transfer approach to produce monetary valuations of natural capital rapidly and at low cost. However, the methodology has not before been used within individual farms, and the impact of land cover data characteristics on the accuracy of valuations is uncertain. Here, we apply the approach to five UK farms of contrasting size, configuration and farming style, using three widely available land cover products. Results show that the land cover product used has a substantial impact on valuations, with differences of up to 58%, and the magnitude of this effect varies considerably according to the landscape structure of the farm. At most sites, valuation differences are driven by the extent of woodland recorded in the landscape, with higher resolution land cover products incorporating larger amounts of woodland through inclusion of smaller patches, leading to higher overall valuations. Integrating more accurate land cover data and accounting for the condition, configuration and location of natural capital has potential to improve the accuracy of valuations.

单个农场内自然资本的估值可以为土地的环境有益变化提供信息，并构成基于提供生态系统服务的农业补贴计划的基础。土地覆盖范围可以用在利益转移方法中，以低成本快速地进行自然资本的货币估价。但是，该方法从未在单个农场中使用过，土地覆盖数据特征对估值准确性的影响尚不确定。在这里，我们使用三种广泛使用的土地覆盖产品，将这种方法应用于五个大小，配置和耕作风格截然不同的英国农场。结果表明，所使用的土地覆盖产品对估值产生了重大影响，差异高达58％，并且这种影响的程度根据农场的景观结构而有很大不同。在大多数站点中，估值差异是由景观中林地的数量驱动的，高分辨率的土地覆盖产品通过包含较小的斑块而合并了更多的林地，从而导致更高的整体估值。整合更准确的土地覆盖数据并考虑自然资本的状况，配置和位置，有可能提高估值的准确性。