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Earthworm species identification and counts at three long-term grassland-to-woodland land use contrasts across England

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www.data.gov.uk2024-06-29 更新2025-01-21 收录
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https://www.data.gov.uk/dataset/b91efff5-f58a-4a89-96fe-e7c60102e90a/earthworm-species-identification-and-counts-at-three-long-term-grassland-to-woodland-land-use-contrasts-across-england
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This dataset contains earthworm counts and identification from three long-term grassland-to-woodland land use contrasts across England between 2018 and 2021. Each land use contrast was assigned one grassland and one woodland plot, respectively. Each of the plots was further divided into three grids (grassland grids 1 to 3 / woodland grids 4 to 6) with grids 1 and 6 being the furthest apart. The contrast boundary is between grids 3 and 4. The three grassland-to-woodland contrasts were sampled once: Gisburn (Gisburn-1, Gisburn-2), and Kielder Forest. The earthworms were counted in 25 cm3 soil cubes and were identified to a species level. These measurements are co-located with estimates aboveground biomass production and litter layer depth, soil physical, chemical and biological properties (0-1 m), and soil hydraulic measurements (soil water release curves and hydraulic conductivity). A file is provided to connect all co-located measurements. This project was part of the UK-SCAPE programme which started in 2018 and was funded by the Natural Environment Research Council as National Capability (award number NE/R016429/1). Full details about this dataset can be found at https://doi.org/10.5285/2636c7e1-ec8c-4b77-9f4e-f731781191ca

本数据集汇集了2018年至2021年间英格兰三个长期草地至林地土地利用对比中的蚯蚓计数及鉴定数据。每个土地利用对比均分配了一片草地和一片林地,具体而言,每个地块被进一步划分为三个网格(草地网格1至3/林地网格4至6),其中网格1与网格6相距最远。对比边界位于网格3与网格4之间。三个草地至林地对比分别进行了采样:Gisburn(Gisburn-1,Gisburn-2)及凯尔德森林。蚯蚓计数采用25立方厘米的土壤立方体进行,并鉴定至物种水平。这些测量数据与地表生物量生产估算、凋落层深度、土壤物理、化学及生物特性(0-1米层)以及土壤水力测量(土壤水释放曲线及水力传导率)进行空间配准。提供了一份文件,用于连接所有空间配准的测量数据。该项目是始于2018年的UK-SCAPE计划的一部分,由自然环境研究委员会作为国家能力(项目编号NE/R016429/1)提供资金支持。关于本数据集的详细信息可查阅https://doi.org/10.5285/2636c7e1-ec8c-4b77-9f4e-f731781191ca。
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