Raw_data_of_Eucalyptus

We selected 395,289 coordinates of eucalypt distribution points in GBIF from 2001 to 2021. After removing erroneous coordinate data (such as those located on the sea or in the central Australian desert), we retained 313,146 eucalypt coordinate data from GBIF. In total, we used 313,236 location data points (313,146 from GBIF, 44 from CNKI, and 46 from Web of Science) of eucalypt in this study. We input the 313,236 eucalypt IFP distribution points into Google Earth Engine (GEE) 47. Subsequently, we extracted the NPP data for each point from the “MODIS/Terra Net Primary Production Gap-Filled Yearly L4 Global 500” dataset in GEE. Lastly, we intergrated the following data into our dataset: 1) 21 climatic factors, including annual mean vapor pressure deficit (Annual mean VPD) and vapor pressure deficit of warmest quarter (warmest quarter VPD); 2) 15 soil factors; and 3) groundwater percentile.

本研究从2001年至2021年期间的全球生物多样性信息机构（Global Biodiversity Information Facility，GBIF）数据库中，获取得到395289条桉树分布点位坐标。在剔除位于海洋、澳大利亚中部荒漠等错误坐标点位后，最终保留313146条来自GBIF的桉树分布坐标数据。本研究共使用313236条桉树分布点位数据，其中313146条来自GBIF、44条来自中国知网（China National Knowledge Infrastructure，CNKI）、46条来自Web of Science。本研究将313236条桉树IFP分布点位导入谷歌地球引擎（Google Earth Engine，GEE）47。随后从GEE平台的"MODIS/Terra 间隙填充年际净初级生产力L4级全球500米分辨率"数据集（MODIS/Terra Net Primary Production Gap-Filled Yearly L4 Global 500）中提取各点位的净初级生产力（Net Primary Production，NPP）数据。最终，本研究将以下多源数据整合至数据集当中：1）21项气候因子，包括年平均水汽压差（Annual mean VPD）与最热季水汽压差（warmest quarter VPD）；2）15项土壤因子；3）地下水百分位数据。