Training data for habitat selection models for four European large herbivore species
收藏NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Training_data_for_habitat_selection_models_for_four_European_large_herbivore_species/31811002
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资源简介:
CSV table containing training data used for building habitat selection models for four European large herbivore species (European bison, moose, red deer, and roe deer).
Column descriptions:
species: Species name
occ: Occurrence status (1= presence / 0=background)
site: Study site name
animals_id: animal ID (unique per species)
month: Month of recording
greenness_p50: Median Tasseled Cap Greenness
greenness_iqr: Variability of Tasseled Cap Greenness
grassnat_hr: Availability of natural grasslands
grassman_hr: Availability of managed grasslands
tree_hr: Availability of tree cover
transportation: Transportation infrastructure
popdens_hr: Human population density
wolf: Presence status of Eurasian wolf
bear: Presence status of Brown bear
ysd: Years since forest disturbance
patch_size: Size of disturbance patch
agent: Likely disturbance agent
recently_disturbed_hr: Availability of recently disturbed areas
severity: Disturbance severity
ruggedness: Terrain ruggedness index
bio11: Mean winter temperature
bio10: Mean summer temperature
sex: Sex of animal
forest: Binary forest / non-forest mask
cropland_hr: Availability of croplands
lynx: Presence status of Eurasian lynx
本数据集为用于构建四种欧洲大型食草动物(欧洲野牛、驼鹿、马鹿、狍)栖息地选择模型的训练数据,以CSV表格形式存储。
列说明:
species:物种名称
occ:出现状态(1=存在 / 0=背景点)
site:研究样地名称
animals_id:动物个体ID(各物种内唯一)
month:记录月份
greenness_p50:塔什帽绿度中值(Tasseled Cap Greenness)
greenness_iqr:塔什帽绿度的变异性(Tasseled Cap Greenness)
grassnat_hr:天然草原可得性
grassman_hr:人工管理草原可得性
tree_hr:林木覆盖可得性
transportation:交通基础设施状况
popdens_hr:人口密度
wolf:欧亚狼存在状态
bear:棕熊存在状态
ysd:森林干扰后时长(Years since forest disturbance)
patch_size:干扰斑块面积
agent:潜在干扰因子
recently_disturbed_hr:近期干扰区域可得性
severity:干扰强度
ruggedness:地形粗糙度指数
bio11:冬季平均气温
bio10:夏季平均气温
sex:动物性别
forest:森林/非森林二元掩码
cropland_hr:农田可得性
lynx:欧亚猞猁存在状态
创建时间:
2026-03-19



