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UK Environmental Change Network (ECN) rabbit and deer data: 1993-2012

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www.data.gov.uk2024-06-29 更新2025-01-15 收录
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https://www.data.gov.uk/dataset/b0766db9-3f39-40cb-889e-0868b4495318/uk-environmental-change-network-ecn-rabbit-and-deer-data-1993-2012
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[THIS DATASET HAS BEEN WITHDRAWN]. Rabbit and deer data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected by transect at ECN's terrestrial sites using a standard protocol. The protocol uses an index method based on dropping counts (of deer, rabbits - and where appropriate sheep and Grouse) to estimate relative abundance. They represent twice-yearly continuous records from 1993 to 2012. 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/10.5285/672f5522-7917-42fc-a806-65cb5c1d2709

本数据集已撤回。该数据集收录了来自英国环境变化网络(UK Environmental Change Network,简称ECN)陆地监测站的兔子和鹿数据。数据通过在ECN陆地监测站采用标准协议进行横断面调查收集。该协议采用基于投放计数(鹿、兔——以及适宜的情况下绵羊和松鸡)的指数方法来估算相对丰度。这些数据代表了从1993年至2012年的每两年连续记录。ECN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财团资助。这些机构通过提供资金支持监测站点或网络协调活动等方式为项目做出贡献。具体包括: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、自然资源威尔士(Cyfoeth Naturiol Cymru)、国防科学与技术实验室、环境、食品和农村事务部、环境署、林业委员会、威尔士政府(Llywodraeth Cymru)、自然英格兰、自然环境研究委员会、北爱尔兰环境署、苏格兰环境保护局、苏格兰政府及苏格兰自然遗产。关于本数据集的详细信息,请参阅https://doi.org/10.5285/672f5522-7917-42fc-a806-65cb5c1d2709。
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