The global distribution of plants used by humans datasets: list of utilised species, occurrence data and model outputs at 10 arc-minutes spatial resolution

Datasets and model outputs used to map the global distribution of utilised plants by humans. The folder is composed of two subfolders raw_data and processed_data containing respectively the list of utilised plant species modelled -utilised_plants_species_list.csv-, and their occurrence data -occurrence_data.zip- and predicted distribution -species_proba_per_cell.rds-. The file utilised_plants_species_list.csv in the raw_data folder contains a list of 35687 plant species (and hybrids) used by humans and 10 plant use categories with the following 14 fields: plant_ID: plant identifier number ranging from between 1-35687 binomial_acc_name: binomial accepted name of the plant species author_acc_name: name of the author(s) is_hybrid: logical TRUE or FALSE indicating whether the species is an hybrid or not. AnimalFood: forage and fodder for vertebrate animals only. EnvironmentalUses: examples include intercrops and nurse crops, ornamentals, barrier hedges, shade plants, windbreaks, soil improvers, plants for revegetation and erosion control, wastewater purifiers, indicators of the presence of metals, pollution, or underground water. Fuels: charcoal, petroleum substitutes, fuel alcohols, etc. Given the importance of energy plants for people, those were distinguished from Materials. GeneSources: wild relatives of major crops which may possess traits associated with biotic or abiotic resistance and may be valuable for breeding programs. HumanFood: food for humans only, including beverages and food additives. InvertebrateFood: plants consumed by invertebrates used by humans, such as bees, silkworms, lac insects and edible grubs. Materials: woods, fibers, cork, cane, tannins, latex, resins, gums, waxes, oils, lipids, etc. and their derived products. Medicines: both human and veterinary. Poisons: plants which are poisonous to both vertebrates and invertebrates, both accidentally and intentionally, e.g., for hunting and fishing, molluscicides, herbicides, insecticides. SocialsUses: plants used for social purposes, which cannot be defined as food or medicine, for instance, masticatories, smoking materials, narcotics, hallucinogens and psychoactive drugs, and plants with ritual or religious significance. Totals: total number of uses recorded for a species The zipfile occurrence_data.zip in the processed_data folder contains 35687 Comma Separated Values (CSV) files, one for each species, containing curated geographic occurrence records used to build species distribution models with the following 14 fields: Species: the binomial accepted name of the species Fullname: same as species decimalLongitude: the geographic longitude of the occurrence records of the species in decimal degrees decimalLatitude: the geographic latitude of the occurrence records of the species in decimal degrees countryCode: a three-letter standard abbreviation for the country of the occurrence locality coordinateUncertaintyinMeters: indicator for the accuracy of the coordinate location, described as the radius of a circle around the stated point location year: year of the observation of the occurrence record of the species individualCount: the number of individuals present at the time of the observation gbifID: unique identifier number for the occurrence from the original database basisOfRecords: the type of the individual record, e.g. observation, physical specimen, fossil, living ex-situ, culture collection specimen institutionCode: the name of the institution or organization listed as the data publisher on GBIF establishmentMeans: statement about whether an organism has been introduced to a given place and time through the direct or indirect activity of modern humans is_cultivated_observation: whether or not an organism is cultivated sourceID: name of the source database The file species_proba_per_cell.rds in the processed_data folder is a R Data Serialization (RDS) file containing a data.table object with the following 3 fields: plant_ID: plant identifier number ranging from between 1-35687 proba: species occurrence probability cell: raster grid cell number between 1-2251762 This object can be used in combination with a raster layer to reconstruct the modelled distribution of each species or retrieve species richness and endemism.本数据集旨在刻画人类利用植物的全球分布格局，包含两个子文件夹：`raw_data`（原始数据）与`processed_data`（处理后数据），二者分别存储建模所需的已利用植物物种列表`utilised_plants_species_list.csv`、物种地理出现数据`occurrence_data.zip`，以及物种预测分布数据`species_proba_per_cell.rds`。 `raw_data`文件夹下的`utilised_plants_species_list.csv`收录了35687种人类所利用的植物（含杂交种）与10类植物用途，共包含14个字段： 1. plant_ID：植物识别编号，取值范围为1至35687 2. binomial_acc_name：植物物种的合格双名法学名 3. author_acc_name：学名的命名人 4. is_hybrid：逻辑型字段（`TRUE`/`FALSE`），用于标识该物种是否为杂交种 5. AnimalFood：仅用于脊椎动物的饲草与饲料 6. EnvironmentalUses：环境用途示例包括间作作物与护养作物、观赏植物、绿篱、遮荫植物、防风林、土壤改良剂、植被恢复与水土保持用植物、废水净化植物、金属/污染/地下水指示植物 7. Fuels：木炭、石油替代物、燃料醇类等。鉴于能源植物对人类社会的重要性，本类别与Materials（材料类）进行了明确区分 8. GeneSources：主要作物的野生近缘种，可能携带有益于育种计划的生物或非生物抗性相关性状 9. HumanFood：仅供人类食用的食物，包含饮品与食品添加剂 10. InvertebrateFood：供人类所利用的无脊椎动物取食的植物，例如蜜蜂、家蚕、紫胶虫以及可食用蛴螬的寄主植物 11. Materials：木材、纤维、软木、藤条、单宁、乳胶、树脂、树胶、蜡、油脂类及其衍生产品 12. Medicines：人用与兽用药物相关植物 13. Poisons：对脊椎动物与无脊椎动物均具有毒性的植物，涵盖意外与故意使用场景，例如用于狩猎、捕鱼、杀灭软体动物剂、除草剂、杀虫剂相关的有毒植物 14. SocialsUses：无法归类为食物或药物的社会用途植物，例如咀嚼物、烟草制品、麻醉剂、致幻剂与精神活性物质，以及具有仪式或宗教意义的植物 15. Totals：某一物种被记录的用途总数量 `processed_data`文件夹下的压缩包`occurrence_data.zip`内含35687个逗号分隔值（CSV）文件，每个文件对应一个物种，收录经质控的地理出现记录，用于构建物种分布模型，共包含14个字段： 1. Species：物种的合格双名法学名 2. Fullname：与Species字段内容完全一致 3. decimalLongitude：物种出现记录的地理经度，以十进制度为单位 4. decimalLatitude：物种出现记录的地理纬度，以十进制度为单位 5. countryCode：出现地点所属国家的三字母标准缩写 6. coordinateUncertaintyinMeters：坐标位置精度指标，表述为指定点周围圆形误差区域的半径（单位：米） 7. year：物种出现记录的观测年份 8. individualCount：观测时记录的个体数量 9. gbifID：原始数据库中该出现记录的唯一识别编号 10. basisOfRecords：单条记录的类型，例如观测记录、实物标本、化石、迁地活体、培养收藏标本 11. institutionCode：全球生物多样性信息设施（Global Biodiversity Information Facility, GBIF）上标注为数据发布方的机构或组织名称 12. establishmentMeans：关于某一生物是否通过现代人类的直接或间接活动被引入某一地点与时间的说明 13. is_cultivated_observation：该生物体是否为栽培观测个体 14. sourceID：源数据库名称 `processed_data`文件夹下的`species_proba_per_cell.rds`为R数据序列化（R Data Serialization, RDS）格式文件，内含一个`data.table`对象，共包含3个字段： 1. plant_ID：植物识别编号，取值范围为1至35687 2. proba：物种出现概率 3. cell：栅格网格单元编号，取值范围为1至2251762 该对象可与栅格图层结合使用，以重建各物种的模拟分布，或计算物种丰富度与特有性。