草地是祁连山面积最大的生态系统类型，占祁连山区总面积的50%左右，它为人类提供生态和文化栖息地的同时，供给必要的生产资料和生活资源。人类占用净初级生产力（HANPP）是量化人类活动对生态系统能量流的影响程度的代用指标。我们基于长期的地面观测和遥感监测数据，使用Century模型和CASA模型分别估算祁连山草地潜在净初级生产力（NPP）和生态系统中剩余的NPP，研制高精度的人类占用净初级生产力时空数据集。本数据集包含祁连山地区天然草地逐年逐栅格单元的HANPP值，单位：g C m-2，时间范围：2000-2024年，空间范围：祁连山全域，时间尺度：年，空间分辨率：0.0025° × 0.0025°（约250 m × 250 m），命名方法：hanpp + 年份，数据格式：GeoTIFF。本数据集较同类数据的优势在于时间序列最长、空间分辨率最高和覆盖范围最广。在全球气候变化的大背景下，模拟草地HANPP的时空动态可定量分析不同生态修复情景下草地生产力的响应规律，对优化草地生态恢复技术和工程的面积及空间配置具有现实指导意义。", "ds_source": "
借助野外观测数据和尺度转化方法，对气候要素、土壤属性和植被参数等进行空间化表达，辅助以植被遥感监测数据，共同驱动机理模型Century和遥感过程模型CASA，分别计算潜在NPP和生态系统中剩余的NPP，两者的差值即为HANPP，由此得到祁连山草地HANPP时空数据集。", "ds_process_way": "
数据集采用多源数据和多模型生成本数据集。（1）基于中国1:100万草地资源图和祁连山地理界线，裁剪出祁连山草地类型图，获得草地的空间分布信息；（2）在祁连山草地分布区收集2000-2024年的气候、植被、土壤、地形、遥感等数据，通过统计降尺度方法对数据进行空间化。最后将时空数据带入Century模型和CASA模型，并基于植被生物量调查数据对模型的敏感性参数进行校正，输出潜在NPP与生态系统中剩余的NPP，两者的差值即为HANPP。", "ds_quality": "
本数据集是通过对已有草地NPP模型本地化得到的，是该地区时间序列最长、空间分辨率最佳、相对精度最高的草地HANPP数据，已在推进差异化草地管理方面发挥重要作用。数据成果发表在环境科学与生态学领域的国际知名期刊Journal of Cleaner Production与Journal of Environmental Management等。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "祁连山天然草地分布区", "ds_acq_lon_east": 103.88333333333334, "ds_acq_lat_south": 35.841944444444444, "ds_acq_lon_west": 93.5, "ds_acq_lat_north": 39.975, "ds_acq_alt_low": 2059.0, "ds_acq_alt_high": 5731.0, "ds_share_type": "apply-access", "ds_total_size": 8745997, "ds_files_count": 2, "ds_format": "GeoTIFF", "ds_space_res": "250m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "2d881f7b-e6ed-409d-a705-133806301424.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "952adb3f-3ede-4a94-942a-7de772f1bfc5", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 0, "publish_time": "2026-04-07 17:50:46", "last_updated": "2026-06-03 09:26:37", "protected": false, "protected_to": "2026-11-30 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.QLS_ECO.DB7300.2026", "i18n": { "en": { "title": "Spatiotemporal Dataset of Human Appropriation of Net Primary Productivity in Natural Grasslands of the Qilian Mountains Region (2025 Edition)", "ds_format": "GeoTIFF", "ds_source": "
With the help of field observation data and scale transformation methods, climate elements, soil attributes and vegetation parameters are spatially expressed, assisted by vegetation remote sensing monitoring data, the mechanism model Century and the remote sensing process model CASA are jointly driven to calculate potential NPP and the remaining NPP in the ecosystem respectively, and the difference between the two is HANPP, thus obtaining the spatio-temporal data set of Qilian Mountains grassland.", "ds_quality": "
This dataset is obtained by localizing existing grassland NPP models. It is the grassland HANPP data with the longest time series, the best spatial resolution, and the highest relative accuracy in the region. It has played an important role in promoting differentiated grassland management. The data results were published in internationally renowned journals in the fields of environmental science and ecology, the Journal of Cleaner Production and the Journal of Environmental Management.", "ds_ref_way": "", "ds_abstract": "
Grassland is the largest ecosystem type in the Qilian Mountains, accounting for about 50% of the total area of the Qilian Mountains. It provides humans with ecological and cultural habitat, and also provides necessary production materials and living resources. Human occupancy of net primary productivity (HANPP) is a proxy indicator that quantifies the impact of human activities on energy flows in ecosystems. Based on long-term ground observation and remote sensing monitoring data, we used the Century model and the CASA model to estimate the potential net primary productivity (NPP) of the Qilian Mountains grassland and the remaining NPP in the ecosystem respectively, and developed a high-precision spatio-temporal data set of the net primary productivity of human occupation. This dataset contains the HANPP values of natural grasslands in the Qilian Mountains region by grid unit year by year, unit: gC m-2, time range: 2000-2024, spatial range: the entire Qilian Mountains, time scale: year, spatial resolution: 0.0025° × 0.0025° (approximately 250 m × 250 m), naming method: hanpp + year, data format: GeoTIFF. The advantages of this dataset over similar data are the longest time series, the highest spatial resolution and the widest coverage. Against the background of global climate change, simulating the spatio-temporal dynamics of grassland HANPP can quantitatively analyze the response laws of grassland productivity under different ecological restoration scenarios, and has practical guiding significance for optimizing the area and spatial configuration of grassland ecological restoration technologies and projects.", "ds_time_res": "", "ds_acq_place": "Natural grassland distribution area in Qilian Mountains", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The dataset uses multiple source data and multiple models to generate this dataset. (1) Based on the 1:1 million grassland resource map of China and the geographical boundary of the Qilian Mountains, the grassland type map of the Qilian Mountains was cut out to obtain the spatial distribution information of the grassland;(2) Collect climate, vegetation, soil, topography, remote sensing and other data from 2000 to 2024 in the Qilian Mountains grassland distribution area, and spatialize the data through statistical downscaling methods. Finally, the spatio-temporal data is brought into the Century model and the CASA model, and the sensitivity parameters of the model are corrected based on the vegetation biomass survey data to output the potential NPP and the remaining NPP in the ecosystem. The difference between the two is HANPP.", "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", "天然草地", "产草量", "放牧压力", "人类活动" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "祁连山天然草地分布区" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "杨雪梅", "email": "yxm9693@163.com", "work_for": "兰州文理学院", "country": "中国" }, { "true_name": "徐浩杰", "email": "xuhaojie@lzu.edu.cn", "work_for": "兰州大学 草地农业科技学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "徐浩杰", "email": "xuhaojie@lzu.edu.cn", "work_for": "兰州大学 草地农业科技学院", "country": "中国" }, { "true_name": "滕如钰", "email": "tengry2024@lzu.edu.cn", "work_for": "兰州大学草地农业科技学院", "country": "中国" }, { "true_name": "齐效镰", "email": "qixl21@lzu.edu.cn", "work_for": "兰州大学草地农业科技学院", "country": "中国" } ], "ds_managers": [ { "true_name": "杨雪梅", "email": "yxm9693@163.com", "work_for": "兰州文理学院", "country": "中国" } ], "category": "生态" }