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UK Environmental Change Network (ECN) woodland vegetation data: 1993-2011

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www.data.gov.uk2024-06-29 更新2025-01-16 收录
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https://www.data.gov.uk/dataset/67c9b4d2-bf1a-4b07-a9b7-d6e9f3bd42c2/uk-environmental-change-network-ecn-woodland-vegetation-data-1993-2011
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[THIS DATASET HAS BEEN WITHDRAWN]. Woodland 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 survey is conducted when plots surveyed during the coarse-grain survey fall in woodland. Seedlings, diameter at breast height (dbh), height and species dominance are recorded within a surrounding 10m x 10m plot. 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/edfe7080-b9d4-4792-82ef-228ac670211a

本数据集已撤回。英国环境变化网络(UK Environmental Change Network, ECN)陆地站点所采集的林地植被数据。这些数据依照统一的标准协议(参见补充文档)在所有陆地站点收集。当粗粒度调查中的样地位于林地时,进行调查。在周边10米×10米的样地内记录幼苗、胸径(dbh)、高度及物种优势度。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组成的联盟赞助。这些机构通过提供资金支持站点监测或网络协调活动的方式参与该计划。相关机构包括:农业食品和生物科学研究所、生物技术与生物科学研究中心、Cyfoeth Naturiol Cymru - 自然资源威尔士、国防科学与技术实验室、环境、食品和农村事务部、环境局、林业委员会、Llywodraeth Cymru - 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、苏格兰政府以及苏格兰自然遗产。关于本数据集的详细信息可在以下链接找到:https://doi.org/10.5285/edfe7080-b9d4-4792-82ef-228ac670211a
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