A tale of three vines: current and future threats to wild Eurasian grapevine by vineyards and invasive rootstocks

This dataset has been used for the paper <em>A tale of three vines: current and future threats to wild Eurasian grapevine by vineyards and invasive rootstocks</em> by Petitpierre et al. It contains the species distribution of five <em>Vitis</em> species in North America and Europe (<em>Vitis acerifolia</em>, <em>Vitis aestivalis</em>, <em>Vitis rupestris</em>, <em>Vitis riparia </em>and <em>Vitis berlandieri</em>), so as the distribution of the Eurasian wild grapevine (<em>Vitis vinifera</em> ssp. <em>sylvestris</em>) and cultivated grapevine in Europe (<em>Vitis vinifera</em> ssp. <em>vinifera</em>). 40 bioclimatic variables are associated to these distributions. These variables were derived from the Climond dataset (Kriticos et al., 2012). Species distribution data were gathered using several databases and sources. The list of the different sources is cited in methods section of the related manuscript. The distribution of each <em>Vitis</em> taxa was rasterized at a resolution of 0.167° (coordinate reference system WGS84; EPSG:4326). X and Y coordinates correspond to the center of each cell. Environmental variables were extracted from the CliMond database (Kriticos et al., 2012) for each site. It consists of a set of 40 bioclimatic variables at a resolution of 0.167°, grouped into 4 categories: temperature, precipitation, moisture, and solar radiation. The description of these 40 variables can be found in the original CliMond publication (Kriticos et al., 2012). Each file contains the distribution of one Vitis taxa. v_ace.csv contains the distribution of Vitis acerifolia in North America. v_aes.csv contains the distribution of Vitis aestivalis in North America. v_ber.csv contains the distribution of Vitis berlandieri in North America. v_rip.csv contains the distribution of Vitis riparia in North America. v_rup.csv contains the distribution of Vitis rupestris in North America. v_root.csv contains the distribution of the American vitis taxa (Vitis acerifolia, Vitis aestivalis, Vitis berlandieri, Vitis riparia and Vitis rupestris) in Europe. v_vin.csv contains the distribution of the vineyards (i.e. Vitis vinifera ssp. vinifera, the cultivated grapevine) in Europe. v_syl.csv contains the distribution of the vineyards (i.e. Vitis vinifera ssp. sylvestris, the wild European grapevine) in Europe. <strong>Reference</strong><br> Kriticos, D.J., Webber, B.L., Leriche, A., Ota, N., Macadam, I., Bathols, J., Scott, J.K., 2012. CliMond: Global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods Ecol. Evol. 3, 53–64. https://doi.org/10.1111/j.2041-210X.2011.00134.x GBIF data for Vitis vinifera ssp. vinifera. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.hacmjx<br> GBIF data for Vitis ssp. sylvestris. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.qu7txv<br> GBIF data for Vitis berlandieri. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.w6dt7r<br> GBIF data for Vitis riparia. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.aqh55u<br> GBIF data for Vitis acerifolia. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.csd7wc<br> GBIF data for Vitis aestivalis. GBIF.org (11 November 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.f5jfzf<br> GBIF data for Vitis rupestris. GBIF.org (02 September 2020) GBIF Occurrence Download https://doi.org/10.15468/dl.gqjm7w本数据集已被应用于Petitpierre等人撰写的学术论文《三株葡萄的故事：葡萄园与入侵性砧木对欧亚野生葡萄的当前及未来威胁》（*A tale of three vines: current and future threats to wild Eurasian grapevine by vineyards and invasive rootstocks*）。 数据集涵盖5种葡萄属（*Vitis*）植物在北美与欧洲的物种分布数据，分别为枫葡萄（*Vitis acerifolia*）、夏葡萄（*Vitis aestivalis*）、岩葡萄（*Vitis rupestris*）、河岸葡萄（*Vitis riparia*）与伯兰氏葡萄（*Vitis berlandieri*）；同时包含欧亚野生葡萄（*Vitis vinifera* ssp. *sylvestris*）以及欧洲栽培葡萄（*Vitis vinifera* ssp. *vinifera*）的分布数据。 该分布数据关联了40个生物气候变量，此类变量源自Climond数据集（Kriticos等人，2012）。物种分布数据通过多个数据库及数据源采集获取，具体数据源清单已在相关论文的方法部分中列明。 各葡萄类群的分布数据均以0.167°的空间分辨率进行栅格化处理，坐标系为WGS84（EPSG:4326），X、Y坐标对应每个栅格单元的中心点。针对每个采样点位，从CliMond数据库（Kriticos等人，2012）中提取对应环境变量。该数据集包含40个分辨率为0.167°的生物气候变量，可划分为温度、降水、湿度与太阳辐射4大类，这40个变量的详细说明可参见原始CliMond学术文献（Kriticos et al., 2012）。 各数据文件对应单一葡萄类群的分布数据： - `v_ace.csv`：北美枫葡萄（*Vitis acerifolia*）的分布数据 - `v_aes.csv`：北美夏葡萄（*Vitis aestivalis*）的分布数据 - `v_ber.csv`：北美伯兰氏葡萄（*Vitis berlandieri*）的分布数据 - `v_rip.csv`：北美河岸葡萄（*Vitis riparia*）的分布数据 - `v_rup.csv`：北美岩葡萄（*Vitis rupestris*）的分布数据 - `v_root.csv`：欧洲境内的北美葡萄类群（枫葡萄、夏葡萄、伯兰氏葡萄、河岸葡萄与岩葡萄）的分布数据 - `v_vin.csv`：欧洲境内的葡萄园（即栽培葡萄*Vitis vinifera* ssp. *vinifera*）的分布数据 - `v_syl.csv`：欧洲境内的野生葡萄（即欧亚野生葡萄*Vitis vinifera* ssp. *sylvestris*）的分布数据 **参考文献** Kriticos, D.J., Webber, B.L., Leriche, A., Ota, N., Macadam, I., Bathols, J., Scott, J.K., 2012. CliMond: Global high-resolution historical and future scenario climate surfaces for bioclimatic modelling. Methods Ecol. Evol. 3, 53–64. https://doi.org/10.1111/j.2041-210X.2011.00134.x 全球生物多样性信息设施（GBIF）数据：欧亚栽培葡萄（*Vitis vinifera* ssp. *vinifera*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.hacmjx 全球生物多样性信息设施（GBIF）数据：欧亚野生葡萄（*Vitis* ssp. *sylvestris*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.qu7txv 全球生物多样性信息设施（GBIF）数据：伯兰氏葡萄（*Vitis berlandieri*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.w6dt7r 全球生物多样性信息设施（GBIF）数据：河岸葡萄（*Vitis riparia*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.aqh55u 全球生物多样性信息设施（GBIF）数据：枫葡萄（*Vitis acerifolia*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.csd7wc 全球生物多样性信息设施（GBIF）数据：夏葡萄（*Vitis aestivalis*），GBIF.org（2020年11月11日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.f5jfzf 全球生物多样性信息设施（GBIF）数据：岩葡萄（*Vitis rupestris*），GBIF.org（2020年9月2日）GBIF物种出现记录下载，https://doi.org/10.15468/dl.gqjm7w