本数据集以我国新疆北部和南部的塔里木盆地和准噶尔盆地为核心调查区，兼顾周边的塔城谷地、伊犁谷地、哈顺戈壁、诺敏戈壁、天山南麓、阿尔金山等区域，于2017-2021年共调查点位942个，重点调查分布在这些区域的矮半乔木荒漠、灌木荒漠和半灌木-矮半灌木荒漠、多汁盐生矮半灌木荒漠等植被类型，调查的主要植被群系包括：白梭梭、梭梭荒漠、绢蒿荒漠、假木贼荒漠、红砂荒漠、猪毛菜荒漠、盐爪爪荒漠、塔里木沙拐枣荒漠、短命植物荒漠、河(湖)岸荒漠乔木林等等，调查主要植被群系达74种。其中乔木包括胡杨群系、灰阳群系、白梭梭群系等4种；灌木主要包括梭梭群系、红砂群系、白皮沙拐枣群系等25种；半灌木群系包括绢蒿群系、木碱蓬群系、假木贼群系等40种；主要草本群系包括猪毛菜群系、囊果碱蓬群系、叉毛蓬群系等6种。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942张，为了调查清楚群落的垂直结构，利用无人机分10m，20m，30m，50m，70m，90m，110m，200m的7个垂直高度拍摄2个群落类型样地整体景观，在20m高度处拍摄灌木样方特征。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": "
原始数据：以野外调查为基础，通过无人机、相机野外拍摄获取。", "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": "塔里木盆地；准噶尔盆地", "ds_acq_lon_east": 94.39055555555557, "ds_acq_lat_south": 31.1, "ds_acq_lon_west": 73.86666666666666, "ds_acq_lat_north": 48.10638888888889, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 14498428669, "ds_files_count": 2362, "ds_format": "JPG", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "9aac292f-6041-42c5-bb11-2b2f2aedaf52.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "安沙舟, 孙宗玖，张鲜花，董乙强.新疆农业大学草业学院；葛学军，华南植物园；梁继业，塔里木大学。塔里木-准噶尔盆地荒漠植物生境照片(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": [ "170.4599", "170.4510" ], "quality_level": 3, "publish_time": "2023-11-16 09:43:06", "last_updated": "2024-01-03 10:26:51", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.I-VEG.DB4081.2023", "i18n": { "en": { "title": "Habitat Photo of Desert Plant Community in Tarim the Junggar Basin (2017-2021)", "ds_format": "", "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 the Tarim Basin and the Junggar Basin in the north and south of Xinjiang as the core survey areas, taking into account the surrounding Tacheng Valley, Ili Valley, Hashun Gobi, Nuomin Gobi, the southern foot of Tianshan Mountain, Altun Mountain and other regions. In 2017-2021, 942 survey points were investigated, focusing on the investigation of dwarf and semi arbor deserts, shrub deserts and semi shrub and semi shrub deserts distributed in these regions Vegetation types such as juicy halophytic dwarf semi shrub desert were investigated. The main vegetation formations surveyed include: White Haloxylon ammodendron, Haloxylon ammodendron desert, Artemisia argyrophylla desert, Pseudosepia desert, Red sand desert, Saltwater desert, Salt claw claw desert, Tarim sand jujube desert, short-lived plant desert, river (lake) desert tree forest, etc. The main vegetation formations surveyed reached 74 species. Among them, there are four types of trees, including the Populus euphratica formation, the Grey Yang formation, and the White Haloxylon ammodendron formation; Shrubs mainly include 25 species, including the Haloxylon ammodendron formation, the Red Sand formation, and the White Sand Calligonum formation; The semi shrub formation includes 40 species, including the Artemisia sericica formation, the Suaeda salsa formation, and the Pseudosepia formation; The main herbaceous formations include 6 species, including the Salsola frutescens formation, Suaeda salsa formation, and Chaetopogon formation. Taking all communities distributed in the research area as the survey objects, 942 photos of community habitats were taken during the survey period. In order to investigate the vertical structure of the community, drones were used to shoot the overall landscape of 2 community types at 7 vertical heights of 10m, 20m, 30m, 50m, 70m, 90m, 110m, and 200m, and the shrub plot characteristics were taken at a height of 20m. 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": "Tarim Basin; The Junggar Basin", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Raw data: Based on field investigations, obtained through drone and camera field photography.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC 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": [ "地理学其他学科", "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔里木盆地", "准噶尔盆地" ], "ds_time_tags": [ 2017, 2018, 2019, 2020, 2021 ], "ds_contributors": [ { "true_name": "安沙舟", "email": "xjasz@126.com", "work_for": "新疆农业大学", "country": "中国" }, { "true_name": "孙宗玖", "email": "szj@xjau.edu.cn", "work_for": "新疆农业大学草业学院", "country": "中国" }, { "true_name": "张鲜花", "email": "zxh@xjau.edu.cn", "work_for": "新疆农业大学草业学院", "country": "中国" }, { "true_name": "董乙强", "email": "xjdyq1210@163.com", "work_for": "新疆农业大学草业学院", "country": "中国" }, { "true_name": "葛学军", "email": "xjge@scbg.ac.cn", "work_for": "中国科学院华南植物园", "country": "中国" }, { "true_name": "梁继业", "email": "ljy_123123@126.com", "work_for": "塔里木大学", "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": "张鲜花", "email": "zxh@xjau.edu.cn", "work_for": "新疆农业大学草业学院", "country": "中国" } ], "category": "生态" }