The Glastir Monitoring and Evaluation Programme (GMEP) ran from 2013 until 2016 and was probably the most comprehensive programme of ecological study ever undertaken at a national scale in Wales. The programme aimed to (1) set up an evaluation of the environmental effects of the Glastir agri-environment scheme and (2) quantify environmental status and trends across the wider countryside of Wales. The focus was on outcomes for climate change mitigation, biodiversity, soil and water quality, woodland expansion, and cultural landscapes. As such, GMEP included a large field-survey component, collecting data on a range of elements including vegetation, land cover and use, soils, freshwaters, birds, and insect pollinators from up to three-hundred 1 km survey squares throughout Wales. The field survey capitalised upon the UK Centre for Ecology & Hydrology (UKCEH) Countryside Survey of Great Britain, which has provided an extensive set of repeated, standardised ecological measurements since 1978. The design of both GMEP and the UKCEH Countryside Survey involved stratified-random sampling of squares from a 1 km grid, ensuring proportional representation from land classes with distinct climate, geology and physical geography. Data were collected from different land cover types and landscape features by trained professional surveyors, following standardised and published protocols. Thus, GMEP was designed so that surveys could be repeated at regular intervals to monitor the Welsh environment, including the impacts of agri-environment interventions. One such repeat survey is scheduled for 2021 under the Environment and Rural Affairs Monitoring & Modelling Programme (ERAMMP).Data from GMEP have been used to address many applied policy questions, but there is major potential for further analyses. The precise locations of data collection are not publicly available, largely for reasons of landowner confidentiality. However, the wide variety of available datasets can be (1) analysed at coarse spatial resolutions and (2) linked to each other based on square-level and plot-level identifiers, allowing exploration of relationships, trade-offs and synergies.This paper describes the key sets of raw data arising from the field survey at co-located sites (2013 to 2016). Data from each of these survey elements are available with the following digital object identifiers (DOIs):Landscape features (Maskell et al., 2020a–c), https://doi.org/10.5285/82c63533-529e-47b9-8e78-51b27028cc7f, https://doi.org/10.5285/9f8d9cc6-b552-4c8b-af09-e92743cdd3de, https://doi.org/10.5285/f481c6bf-5774-4df8-8776-c4d7bf059d40; Vegetation plots (Smart et al., 2020), https://doi.org/10.5285/71d3619c-4439-4c9e-84dc-3ca873d7f5cc; Topsoil physico-chemical properties (Robinson et al., 2019), https://doi.org/10.5285/0fa51dc6-1537-4ad6-9d06-e476c137ed09; Topsoil meso-fauna (Keith et al., 2019), https://doi.org/10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21; Topsoil particle size distribution (Lebron et al., 2020), https://doi.org/10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656; Headwater stream quality metrics (Scarlett et al., 2020a), https://doi.org/10.5285/e305fa80-3d38-4576-beef-f6546fad5d45; Pond quality metrics (Scarlett et al., 2020b), https://doi.org/10.5285/687b38d3-2278-41a0-9317-2c7595d6b882; Insect pollinator and flower data (Botham et al., 2020), https://doi.org/10.5285/3c8f4e46-bf6c-4ea1-9340-571fede26ee8; and Bird counts (Siriwardena et al., 2020), https://doi.org/10.5285/31da0a94-62be-47b3-b76e-4bdef3037360.

中文翻译：

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威尔士的综合生态监测：Glastir 监测和评估计划实地调查

Glasir 监测和评估计划 (GMEP) 从 2013 年持续到 2016 年，可能是威尔士有史以来在全国范围内开展的最全面的生态研究计划。该计划旨在 (1) 对 Glastir 农业环境计划的环境影响进行评估，以及 (2) 量化威尔士广大农村的环境状况和趋势。重点是减缓气候变化、生物多样性、土壤和水质、林地扩张和文化景观的成果。因此，GMEP 包括一个大型实地调查部分，收集了一系列要素的数据，包括植被、土地覆盖和使用、土壤、淡水、鸟类和昆虫传粉者，距离长达三百一 公里整个威尔士的调查广场。实地调查利用了英国生态与水文中心 (UKCEH) 的英国乡村调查，该中心自 1978 年以来提供了一套广泛的重复、标准化的生态测量。 GMEP 和 UKCEH 乡村调查的设计都涉及分层随机从 1公里处采样正方形 网格，确保具有不同气候、地质和自然地理的土地类别的比例代表。数据是由训练有素的专业测量员按照标准化和公开的协议从不同的土地覆盖类型和景观特征收集的。因此，GMEP 旨在定期重复调查以监测威尔士环境，包括农业环境干预措施的影响。一项此类重复调查计划于 2021 年根据环境与农村事务监测与建模计划 (ERAMMP) 进行。 来自 GMEP 的数据已被用于解决许多应用政策问题，但仍有进行进一步分析的巨大潜力。数据收集的确切位置不公开，主要是出于土地所有者保密的原因。然而，各种各样的可用数据集可以 (1) 以粗略的空间分辨率进行分析，以及 (2) 基于平方级和地块级标识符相互链接，允许探索关系、权衡和协同作用。 本文描述了共同地点（2013 年至 2016 年）实地调查产生的关键原始数据集。来自每个调查元素的数据可通过以下数字对象标识符 (DOI) 获得：地形特征（Maskell等人，2020a到c）中，https://doi.org/10.5285/82c63533-529e-47b9-8e78-51b27028cc7f，https://doi.org/10.5285/9f8d9cc6-b552-4c8b-af09 -e92743cdd3de , https://doi.org/10.5285/f481c6bf-5774-4df8-8776-c4d7bf059d40 ; 植被图（Smart et al., 2020），https://doi.org/10.5285/71d3619c-4439-4c9e-84dc-3ca873d7f5cc；表土理化性质（Robinson 等，2019），https : //doi.org/10.5285/0fa51dc6-1537-4ad6-9d06-e476c137ed09 ；表土中型动物群 (Keith et al., 2019), https://doi.org/10.5285/1c5cf317-2f03-4fef-b060-9eccbb4d9c21；表土粒度分布（Lebron 等，2020），https: //doi.org/10.5285/d6c3cc3c-a7b7-48b2-9e61-d07454639656; 源头水流质量指标（Scarlett 等，2020a），https : //doi.org/10.5285/e305fa80-3d38-4576-beef-f6546fad5d45 ；池塘质量指标（Scarlett 等，2020b），https : //doi.org/10.5285/687b38d3-2278-41a0-9317-2c7595d6b882 ；昆虫传粉者和花卉数据（Botham 等，2020），https://doi.org/10.5285/3c8f4e46-bf6c-4ea1-9340-571fede26ee8；和鸟类计数（Siriwardena 等人，2020 年），https://doi.org/10.5285/31da0a94-62be-47b3-b76e-4bdef3037360。