Herzog Felix, Franklin Janet
Agroscope, Reckenholzstr. 191, 8046, Zurich, Switzerland.
School of Geographical Sciences and Urban Planning, Arizona State University, P.O. Box 875302, Tempe, AZ, USA.
Ambio. 2016 Dec;45(8):857-871. doi: 10.1007/s13280-016-0799-0. Epub 2016 Jun 22.
Policy makers and farmers need to know the status of farmland biodiversity in order to meet conservation goals and evaluate management options. Based on a review of 11 monitoring programs in Europe and North America and on related literature, we identify the design choices or attributes of a program that balance monitoring costs and usefulness for stakeholders. A useful program monitors habitats, vascular plants, and possibly faunal groups (ecosystem service providers, charismatic species) using a stratified random sample of the agricultural landscape, including marginal and intensive regions. The size of landscape samples varies with the grain of the agricultural landscape; for example, samples are smaller in Europe and larger in North America. Raw data are collected in a rolling survey, which distributes sampling over several years. Sufficient practical experience is now available to implement broad monitoring schemes on both continents. Technological developments in remote sensing, metagenomics, and social media may offer new opportunities for affordable farmland biodiversity monitoring and help to lower the overall costs of monitoring programs.
政策制定者和农民需要了解农田生物多样性的状况,以便实现保护目标并评估管理方案。基于对欧洲和北美的11个监测项目以及相关文献的综述,我们确定了一个项目的设计选择或属性,这些选择或属性能够平衡监测成本以及对利益相关者的有用性。一个有用的项目会使用农业景观的分层随机样本(包括边缘地区和集约化地区)来监测栖息地、维管植物以及可能的动物类群(生态系统服务提供者、有魅力的物种)。景观样本的大小随农业景观的粒度而变化;例如,欧洲的样本较小,而北美的样本较大。原始数据通过滚动调查收集,该调查将采样分布在数年时间内。现在已经有足够的实践经验在两大洲实施广泛的监测计划。遥感、宏基因组学和社交媒体方面的技术发展可能为经济实惠的农田生物多样性监测提供新机会,并有助于降低监测项目的总体成本。