本数据集以毛乌素沙地、浑善达克沙地、科尔沁沙地及呼伦贝尔沙地为调查区域，于2017-2021四年共调查点位291个。重点调查分布在研究区内的常绿针叶林、落叶阔叶林、落叶小叶疏林、常绿针叶灌丛、落叶阔叶灌丛、灌草丛、杂草类草地等植被类型。调查的主要植被群系84种，其中主要乔木群系包括白杄林、榆树疏林、樟子松林、白桦林等，灌木群系包括叉子圆柏灌丛、长梗扁桃灌丛、小叶锦鸡儿灌丛、盐蒿灌丛等，主要草本群系包括银灰旋花草地、长芒草草地、沙蓬草地、沙鞭草地、芨芨草草地等。\n
\n以分布在研究区内的所有群落为调查对象，调查期间拍摄群落生境照片3209张。为了研究调查区域土壤状况，共拍摄272个样点的土壤剖面272张。为了调查清楚群落的垂直结构，利用无人机分10 m，20 m，30 m，50 m，70 m，90 m，110 m的6个垂直高度拍摄样地整体景观照，共拍摄263个样点无人机照片1703张。并利用相机对植物群落水平分布特征及灌木和草本样方进行拍摄，以便于划分植物群落界限和研究植物种群空间分布格局特征。
", "ds_source": "自主产生。
", "ds_process_way": "野外采集与数字化加工。
", "ds_quality": "利用高像素相机和无人机拍摄，选择光线充足、风力较小的天气，防止拍摄图像迷糊不清。拍摄照片完成后，按要求命名后建立各样地文件夹保持。删除重复照片，并挑选拍摄清晰度较高的照片上传数据库。
", "ds_acq_start_time": "2017-01-01 00:00:00", "ds_acq_end_time": "2021-12-31 00:00:00", "ds_acq_place": "内蒙古中东部半干旱沙地、毛乌素沙地、浑善达克沙地、科尔沁沙地及呼伦贝尔沙地", "ds_acq_lon_east": 123.78138888888888, "ds_acq_lat_south": 37.94583333333333, "ds_acq_lon_west": 110.45, "ds_acq_lat_north": 49.80694444444444, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 42081707979, "ds_files_count": 5186, "ds_format": "JPG", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "3a658195-425b-4aae-977a-b6b9db759638.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "褚建民，李景文，叶学华，崔向慧，杨洪晓，甘红豪. 中国林业科学研究院林业研究所，北京林业大学，中国科学院植物研究所，中国林业科学研究院（荒漠化研究所），青岛农业大学. 内蒙古中东部半干旱荒漠植物群落生境照片(2017-2021). 2021。", "ds_from_station": null, "organization_id": "7f392ba9-d3f1-4714-b1bc-52ac6d5b09fc", "ds_serv_man": "李红星 ", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2023-11-16 14:38:54", "last_updated": "2023-12-11 09:55:09", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.I-VEG.DB4085.2023", "i18n": { "en": { "title": "Photos of plant communities and habitats in semi-arid deserts of central and eastern Inner Mongolia (2017-2021)", "ds_format": "JPG", "ds_source": "Autonomously generated
", "ds_quality": "Use high pixel cameras and drones to take photos, choose weather with sufficient light and low wind speed to prevent blurred images. After taking photos, name them according to the requirements and create various folders to keep them. Delete duplicate photos and select photos with higher clarity to upload to the database.
", "ds_ref_way": "", "ds_abstract": "This data set takes Maowusu Sandy Land, Hunshandake Sandy Land, Horqin Sandy Land and Hulunbeier Sandy Land as the survey area, with a total of 291 survey points in 2017-2021. Focus on investigating vegetation types such as evergreen coniferous forest, deciduous broad-leaved forest, deciduous small leaved sparse forest, evergreen coniferous shrub, deciduous broad-leaved shrub, shrub grassland, and weed grassland distributed in the research area. The main vegetation formations investigated include 84 species, among which the main tree formations include Baiqian Forest, Elm Sparse Forest, Camphor Pine Forest, Betula platyphylla Forest, etc. The shrub formations include Forked Juniper Shrubs, Long stemmed Almond Shrubs, Small leaved Caragana Shrubs, Artemisia Salina Shrubs, etc. The main herbaceous formations include Silver Grey Convolvulus Grassland, Long Manger Grassland, Sand Peng Grassland, Sand Whip Grassland, Achnatherum splendens Grassland, etc.\n
\nDuring the survey, 3209 photos of community habitats were taken, taking all communities distributed in the study area as the survey subjects. In order to study the soil conditions in the survey area, a total of 272 soil profiles were taken from 272 sampling points. In order to investigate the vertical structure of the community, unmanned aerial vehicles were used to take overall landscape photos of the sample plot at 6 vertical heights of 10 m, 20 m, 30 m, 50 m, 70 m, 90 m, and 110 m. A total of 1703 unmanned aerial vehicle photos of 263 sample points were taken. And use a camera to capture the horizontal distribution characteristics of plant communities and shrubs and herbaceous samples, in order to facilitate the division of plant community boundaries and study the spatial distribution pattern characteristics of plant populations.
", "ds_time_res": "", "ds_acq_place": "Semi arid sandy land, Maowusu sandy land, Hunshandake sandy land, Horqin Sandy Land and Hulunbeier sandy land in the middle east of Inner Mongolia", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Field collection and digital processing.
", "ds_ref_instruction": "Chu Jianmin, Li Jingwen, Ye Xuehua, Cui Xianghui, Yang Hongxiao, and Gan Honghao Institute of Forestry, Chinese Academy of Forestry Sciences, Beijing Forestry University, Institute of Botany, Chinese Academy of Sciences, Chinese Academy of Forestry Sciences (Institute of Desertification), Qingdao Agricultural University Habitat photos of plant communities in semi-arid deserts in central and eastern Inner Mongolia (2017-2021) 2021." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "样方照片", "景观照片", "低空航拍" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "内蒙古中东部半干旱沙地", "毛乌素沙地", "浑善达克沙地", "科尔沁沙地", "呼伦贝尔沙地" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "褚建民", "email": "cjmcaf@163.com", "work_for": "中国林业科学研究院林业研究所", "country": "中国" }, { "true_name": "李景文", "email": "lijingwen@bjfu.edu.cn", "work_for": "北京林业大学", "country": "中国" }, { "true_name": "叶学华", "email": "yexuehua@ibcas.ac.cn", "work_for": "中科院植物所", "country": "中国" }, { "true_name": "崔向慧", "email": "cxhids@caf.ac.cn", "work_for": "中国林科院荒漠化所", "country": "中国" }, { "true_name": "杨洪晓", "email": "hongxiaoyang@126.com", "work_for": "青岛农业大学", "country": "中国" }, { "true_name": "甘红豪", "email": "ganhonghao@163.com", "work_for": "中国林科院林业研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "连杰", "email": "lianjie@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "褚建民", "email": "cjmcaf@163.com", "work_for": "中国林业科学研究院林业研究所", "country": "中国" } ], "category": "生态" }