UK Environmental Change Network (ECN) baseline vegetation data: 1991-2000
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https://www.data.gov.uk/dataset/5652cab2-cd79-41a9-a9e8-7b2863a90fe1/uk-environmental-change-network-ecn-baseline-vegetation-data-1991-2000
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Baseline Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). This was a one-off whole site baseline vegetation survey (though given the intensive nature of this survey, some sites did it over successive years) to generate a vegetation map and identify the areas within the site to be monitored. In this protocol up to 500 systemic 2m x 2m plots were surveyed and species presence recorded. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/a7b49ac1-24f5-406e-ac8f-3d05fb583e3b
英国环境变化网络(ECN)陆地站点基准植被数据。该数据集采用统一协议(参见补充文档)在英国环境变化网络的所有陆地站点进行收集。这是一次性的整体站点基准植被调查(尽管鉴于调查的密集性,某些站点在连续几年内进行了调查),旨在生成植被图并识别需监控的场地区域。在该协议中,最多对500个系统性的2米x2米样地进行了调查,并记录了物种的分布情况。英国环境变化网络是英国长期环境监测项目,由十四个政府部门和机构的联合赞助机构所支持。这些机构通过资助站点监测和/或网络协调活动对该项目做出贡献。这些机构包括:农业食品和生物科学研究所、生物技术和生物科学研究中心、自然资源威尔士、国防部科学和技术实验室、环境、食品和农村事务部、环境局、林业委员会、威尔士政府、自然英格兰、自然环境研究委员会、北爱尔兰环境局、苏格兰环境保护局、苏格兰政府和苏格兰自然遗产。关于该数据集的详细信息,请参阅https://doi.org/10.5285/a7b49ac1-24f5-406e-ac8f-3d05fb583e3b。
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