{
    "created": "2024-05-31 21:09:39",
    "updated": "2026-05-22 12:38:29",
    "id": "3c9ff61b-b2e1-4bb6-9d4b-10039b216a38",
    "version": 5,
    "ds_topic": null,
    "title_cn": "三江源区高原鼠兔洞穴密度、鼠兔裸斑1km比例数据（2015-2018年）",
    "title_en": "Density of plateau pika caves and 1km ratio of bare spots in the Sanjiangyuan area (2015-2018)",
    "ds_abstract": "<p>&emsp;&emsp;本数据集包括三江源区高原鼠兔洞穴入口密度（单位:个）、鼠兔扰动导致的裸地比例（单位:%）的栅格数据。数据反映2015-2018年生长季（6-9月）的平均态，数据的空间分辨率为1km。</p>",
    "ds_source": "<p>&emsp;&emsp;本数据集是基于我们自行研发的随机模型来模拟生产的。</p>",
    "ds_process_way": "<p>&emsp;&emsp;关于高原鼠兔的鼠洞密度模拟，首先基于贝叶斯加性回归树这一物种分布模型，模拟得到高原鼠兔的适宜生境。适宜生境反映了高原鼠兔在不同区域环境的栖息偏好，为区域尺度上的鼠洞密度模拟提供了关键的先验信息。我们自主研发了一种新的随机模型，充分利用了现有三江源区的鼠洞密度调查数据，并结合适宜生境提供的空间分布概率，模拟得到1km尺度的三江源区鼠洞密度。鼠兔的裸斑数据是利用无人机数据拟合鼠洞密度与裸地比例之间的统计关系，结合模拟的鼠洞密度进行估算。我们拟合了三种统计关系，分别代表低裸斑、中裸斑和高裸斑。卫星遥感的植被盖度数据则用于判断不同区域所属的统计关系。更多细节请参考我们发表在《GRL》的Chen et al. 2024论文。</p>",
    "ds_quality": "<p>&emsp;&emsp;数据提供者充分利用现有的实地调查数据以及无人机数据，结合模型进行区域模拟。同时，基于卫星遥感数据对模拟结果进行准确性检查和异常值剔除，最终数据能够较好反映真实世界的情形。</p>",
    "ds_acq_start_time": "2015-07-01 00:00:00",
    "ds_acq_end_time": "2018-08-31 00:00:00",
    "ds_acq_place": "三江源",
    "ds_acq_lon_east": 89.15,
    "ds_acq_lat_south": 30.790000000000003,
    "ds_acq_lon_west": 102.56944444444444,
    "ds_acq_lat_north": 37.37,
    "ds_acq_alt_low": 2568.0,
    "ds_acq_alt_high": 6535.0,
    "ds_share_type": "open-access",
    "ds_total_size": 2071189,
    "ds_files_count": 2,
    "ds_format": "TIFF",
    "ds_space_res": "1平方公里",
    "ds_time_res": "年",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "ca3afecb-fd48-4983-9795-a66f420ca1cc.jpg",
    "ds_thumb_from": 0,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "用户在使用数据时请在正文中明确注明数据的来源，并在参考文献部分引用本元数据提供的引用方式。",
    "ds_from_station": null,
    "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a",
    "ds_serv_man": "李红星",
    "ds_serv_phone": "09314967592",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.4510"
    ],
    "quality_level": 3,
    "publish_time": "2024-06-04 13:45:15",
    "last_updated": "2025-04-23 09:43:22",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.PERMALAB.DB6495.2024",
    "i18n": {
        "en": {
            "title": "Density of plateau pika caves and 1km ratio of bare spots in the Sanjiangyuan area (2015-2018)",
            "ds_format": "TIFF",
            "ds_source": "<p>&emsp;&emsp;This dataset is based on our self-developed random model to simulate production</ p>",
            "ds_quality": "<p>&emsp;&emsp;The data provider fully utilizes existing field survey data and drone data, combined with models for regional simulation. At the same time, based on satellite remote sensing data, accuracy checks and outlier removal are performed on the simulation results, and the final data can better reflect the real world situation</ p>",
            "ds_ref_way": "",
            "ds_abstract": "<p>  This dataset includes raster data on the entrance density of plateau rat and rabbit caves in the Sanjiangyuan area (unit: pieces) and the proportion of bare land caused by rat and rabbit disturbances (unit:%). The data reflects the average state of the growing season (June September) from 2015 to 2018, with a spatial resolution of 1km</p>",
            "ds_time_res": "年",
            "ds_acq_place": "Sanjiangyuan",
            "ds_space_res": "1平方公里",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp; Regarding the simulation of rat hole density for plateau pika, firstly, based on the species distribution model of Bayesian additive regression tree, the suitable habitat for plateau pika was simulated. The suitable habitat reflects the habitat preferences of plateau pika in different regional environments, providing key prior information for simulating rat hole density at the regional scale. We have independently developed a new stochastic model that fully utilizes the existing rat hole density survey data in the Three River Source Area, and combines it with the spatial distribution probability provided by suitable habitats to simulate the rat hole density in the Three River Source Area at a scale of 1km. The naked spot data of mice and rabbits is estimated by fitting the statistical relationship between mouse hole density and bare ground ratio using drone data, combined with simulated mouse hole density. We fitted three statistical relationships, representing low bare spot, medium bare spot, and high bare spot, respectively. The vegetation coverage data from satellite remote sensing is used to determine the statistical relationships between different regions. For more details, please refer to our paper by Chen et al. 2024 published in GRL</ p>",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 0,
    "recommendation_value": 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": [
        "高原鼠兔",
        "裸斑比例",
        "随机模型"
    ],
    "ds_subject_tags": [
        "自然地理学"
    ],
    "ds_class_tags": [],
    "ds_locus_tags": [
        "三江源"
    ],
    "ds_time_tags": [
        2015,
        2016,
        2017,
        2018
    ],
    "ds_contributors": [
        {
            "true_name": "南卓铜",
            "email": "nanzt@shnu.edu.cn",
            "work_for": "上海师范大学",
            "country": "中国"
        },
        {
            "true_name": "陈玉红",
            "email": "chenyuhongrs@outlook.com",
            "work_for": "南京师范大学",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "陈玉红",
            "email": "chenyuhongrs@outlook.com",
            "work_for": "南京师范大学",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "南卓铜",
            "email": "nanzt@shnu.edu.cn",
            "work_for": "上海师范大学",
            "country": "中国"
        },
        {
            "true_name": "陈玉红",
            "email": "chenyuhongrs@outlook.com",
            "work_for": "南京师范大学",
            "country": "中国"
        }
    ],
    "category": "生态"
}