该数据包含了祁连山国家公园抵抗力稳定性、恢复力稳定性、2000-2020水文连通性、水源涵养、河流健康评价五种数据类型。", "ds_source": "
祁连山国家公园植被敏感性指数、干旱指数、水源涵养、水文连通性指数、石羊河山区河流健康影响因子。水源涵养通过中国科学院资源环境数据中心土地利用数据、世界土壤数据库、32年中国地面气候资料日值数据集得到；水文连通性通过逐月气温、降水、landsat5、Landsat7、Landsat8影像、全国DEM数据得到；河流健康评价通过甘肃省水资源统计公报等统计得到。", "ds_process_way": "
抵抗力稳定性通过植被敏感性指数计算得来；恢复力稳定性通过SPEI模型种干旱指数计算得出；水源涵养通过INVEST模型计算得来；水文连通性通过河网提取与景观指数计算而得；河流健康评价通过统计资料计算而得。", "ds_quality": "
抵抗力稳定性通过2000-2019年逐月降水、气温、辐射数据、植被覆盖数据综合计算得来；恢复力稳定性通过SPEI模型，使用了国家地球系统科学数据中心1982-2020年的月温度和降水数据集、中国科学院资源与环境科学数据中心提供的数字高程模型、NOAA气候数据记录（CDR）的AVHRR叶面积指数（LAI）和吸收光合有效辐射的部分（FAPAR）数据集计算得出；水源涵养通过中国科学院资源环境数据中心土地利用数据、世界土壤数据库、32年中国地面气候资料日值数据集运用INVEST模型计算得来；水文连通性通过逐月气温、降水、landsat5、Landsat7、Landsat8影像、全国DEM数据计算而得；河流健康评价通过甘肃省水资源统计公报等统计后计算而得。", "ds_acq_start_time": "1982-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "祁连山国家公园", "ds_acq_lon_east": 103.03722222222223, "ds_acq_lat_south": 36.755, "ds_acq_lon_west": 95.1211111111111, "ds_acq_lat_north": 39.75111111111111, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 920766623, "ds_files_count": 2, "ds_format": "tif", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "4c5a05cf-d834-4211-b13a-a908feb46e9c.png", "ds_thumb_from": 0, "ds_ref_way": "高翔，祁连山国家公园生态系统稳定性评价数据集（1982-2020年），国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2023，doi：10.12072/ncdc.nieer.db2753.2023", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52109486-75ef-4764-a933-6380c6f42432", "ds_serv_man": "", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "10.12072/ncdc.nieer.db2753.2023", "subject_codes": [ "170.45" ], "quality_level": 0, "publish_time": "2023-02-28 21:10:45", "last_updated": "2023-03-01 10:55:54", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.db2753.2023", "i18n": { "en": { "title": "Evaluation data set of ecosystem stability of Qilian Mountain National Park (1982-2020)", "ds_format": "", "ds_source": "
Vegetation sensitivity index, drought index, water conservation index, hydrological connectivity index, and river health impact factors in Shiyanghe Mountain Area of Qilian Mountain National Park. Water conservation is obtained from the land use data of the Resource and Environment Data Center of the Chinese Academy of Sciences, the World Soil Database, and the 32-year daily data set of China's surface climate data; Hydrological connectivity is obtained through monthly temperature, precipitation, landsat5, landsat7, landsat8 images, and national DEM data; The river health assessment was obtained through statistics such as Gansu Provincial Water Resources Statistics Bulletin.", "ds_quality": "
The stability of resistance is obtained by comprehensive calculation of monthly precipitation, temperature, radiation data and vegetation cover data from 2000 to 2019; The resilience stability is calculated by SPEI model, using the monthly temperature and precipitation data set of the National Earth System Science Data Center from 1982 to 2020, the digital elevation model provided by the Resource and Environmental Science Data Center of the Chinese Academy of Sciences, the AVHRR leaf area index (LAI) of the NOAA climate data record (CDR) and the part of the absorbed photosynthetic effective radiation (FAPAR) data set; Water conservation is calculated by using the INVEST model through the land use data of the Resource and Environment Data Center of the Chinese Academy of Sciences, the World Soil Database, and the 32-year daily data set of China's surface climate data; The hydrological connectivity is calculated by monthly temperature, precipitation, landsat5, landsat7, landsat8 images and national DEM data; The river health assessment is calculated through the statistics of Gansu Provincial Water Resources Statistics Bulletin.", "ds_ref_way": "", "ds_abstract": "
This data includes five data types of Qilian Mountain National Park: resistance stability, resilience stability, 2000-2020 hydrological connectivity, water conservation, and river health evaluation.
", "ds_time_res": "", "ds_acq_place": "Qilian Mountain National Park", "ds_space_res": "", "ds_projection": "", "ds_process_way": "Resistance stability is calculated by vegetation sensitivity index; The resilience stability is calculated by the drought index of SPEI model; Water conservation is calculated by INVEST model; Hydrological connectivity is obtained through river network extraction and landscape index calculation; The river health assessment is calculated through statistical data.", "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, "belong_to_nieer": false, "ds_topic_tags": [ "祁连山国家公园", "稳定性", "水文连通性", "水源涵养", "河流健康" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山国家公园" ], "ds_time_tags": [ 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020 ], "ds_contributors": [ { "true_name": "高翔", "email": "xgao@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "高翔", "email": "xgao@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "ds_managers": [ { "true_name": "高翔", "email": "xgao@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" } ], "category": "基础地理" }