Model output data from: Solar farms as potential future refuges for bumblebees

Solar farms offer an opportunity for habitat creation for wildlife, including insect pollinators, potentially simultaneously contributing to both low-carbon energy and nature recovery. However, it is unknown whether co-benefits would persist under future land use change given that habitat value is context dependent. For the 1,042 operational solar farms in Great Britain, we predict their ability to support bumblebee populations (both inside and outside the solar farm) under three different socio-economic futures. These futures represent alternative 1 km scale landcover projections for the year 2050 with accompanying narratives. We downscale these to 10 m resolution, spatially allocating crop rotations, agri-environment interventions, and other habitat features consistent with the scenario narratives, to realistically represent fine-scale landscape elements of relevance to bumblebee populations. We then input these detailed maps into a sophisticated process-based model (poll4pop) th..., , # Model output data from: Solar farms as potential future refuges for bumblebees Dataset DOI: [10.5061/dryad.8cz8w9h5g](https://doi.org/10.5061/dryad.8cz8w9h5g) ## Description of the data and file structure This dataset contains raw poll4pop model output data, including the number of predicted bumblebee nests, foraging bumblebees and new bumblebee queens inside each solar farm in Great Britain, surrounding foraging zone (0-500 m from the solar farm boundary) and wider landscape (10 km) under four land use change scenarios (present day, SSP1, SSP2 and SSP5) and three solar farm management scenarios (baseline, turf grass and meadow margins). ### Files and variables Below, details about each column in the Excel spreadsheet are provided: **land_use**_**scenario**Â - the land use scenario under which the model was run, including the present day and three future land use scenarios for 2050 based on the UK-RCP-SSPs, where SSP1 represents Sustainability, SSP2 represents Middle of the Road a...,太阳能光伏电站（solar farms）为包括昆虫传粉者（insect pollinators）在内的野生生物提供了栖息地营造的契机，有望同时助力低碳能源发展与自然生态修复。然而，由于栖息地价值具有情境依赖性，目前尚不清楚这类协同效益能否在未来土地利用变化中持续存在。针对英国境内1042座已并网运营的光伏电站，我们基于三种不同的社会经济未来情景，预测了电站内外（含电站场地内及周边区域）支持熊蜂（bumblebee）种群的能力。这些情景对应2050年1公里分辨率的多套土地覆盖预测方案及配套叙事框架。我们将其降尺度至10米分辨率，依据情景叙事空间化分配作物轮作、农业环境干预措施及其他栖息地特征，以真实还原与熊蜂种群相关的精细尺度景观要素。随后我们将这些精细地图输入至一款基于过程机理的复杂模型（poll4pop）…… # 模型输出数据来源：《太阳能光伏电站作为熊蜂潜在未来庇护所》 数据集DOI：[10.5061/dryad.8cz8w9h5g](https://doi.org/10.5061/dryad.8cz8w9h5g) ## 数据与文件结构说明 本数据集包含原始poll4pop模型输出数据，涵盖四种土地利用变化情景（现状年、SSP1、SSP2及SSP5）与三种光伏电站管理情景（基准情景、草本草坪情景及草甸边缘带情景）下，英国境内每座光伏电站场地内、周边觅食区（电站边界外0-500米范围）及更大尺度景观（10公里范围）内预测的熊蜂巢穴数量、觅食工蜂数量及新生蜂王数量。 ### 文件与变量 下文详细说明Excel表格中的各列信息： **land_use_scenario** —— 模型运行所依据的土地利用情景，包含现状年以及基于UK-RCP-SSPs框架下的三种2050年未来土地利用情景，其中SSP1代表可持续发展路径，SSP2代表中间路径……