本研究基于生态过程模型，生产了2000年至2020年中国30米空间分辨率的高精度生态系统服务年度数据集，包含净初级生产力、土壤保持、防风固沙和水源涵养四项关键指标。模型参数通过多源数据校准，验证结果显示该数据集与实地观测及现有数据具有良好一致性。分析表明，2000-2020年间中国净初级生产力、土壤保持和防风固沙功能总体呈弱增长趋势，而水源涵养量则有所下降。该数据集为精细化评估生态系统服务及其变化提供了科学基础，能够有效支持相关决策制定。", "ds_source": "
数据来源于https://doi.org/10.57760/sciencedb.20797", "ds_process_way": "
首先，集成高精度土地覆盖数据（GlobeLand30）、多源遥感数据（Landsat用于植被指数，MODIS用于蒸散发与雪盖）以及气象、土壤等多类基础数据，并统一重采样至30米分辨率与阿尔伯斯投影。其次，针对四项服务分别采用经过本地化校准的专业模型进行模拟：使用CASA模型计算净初级生产力，RUSLE模型估算土壤保持量，RWEQ模型评估防风固沙能力，以及InVEST模型的产水模块模拟水源涵养量。", "ds_quality": "
数据集通过系统的多源交叉验证进行确认，数据质量良好。", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2020-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": null, "ds_acq_lat_south": null, "ds_acq_lon_west": null, "ds_acq_lat_north": null, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 438528745431, "ds_files_count": 69, "ds_format": "*.tif", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "8816ae81-59d3-4386-927b-2aa24b0c6883.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "d2c052ce-d283-4a48-8962-6a3dbcb03b8e", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4599" ], "quality_level": 3, "publish_time": "2026-01-31 16:49:09", "last_updated": "2026-02-04 09:04:01", "protected": false, "protected_to": null, "lang": "zh", "cstr": " 31253.11.sciencedb.20797", "i18n": { "en": { "title": "A high spatial resolution dataset of ecosystem services of 2000–2020 in China", "ds_format": "*.tif", "ds_source": "
The data is sourced from https://doi.org/10.57760/sciencedb.20797", "ds_quality": "
The dataset has been confirmed through systematic multi-source cross validation, and the data quality is good.", "ds_ref_way": "", "ds_abstract": "", "ds_time_res": "年", "ds_acq_place": "China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
Firstly, high-precision land cover data (GlobeLand30), multi-source remote sensing data (Landsat for vegetation indices, MODIS for evapotranspiration and snow cover), as well as various basic data such as meteorology and soil, are integrated and resampled to a resolution of 30 meters and Alberean projection. Secondly, for the four services, localized and calibrated professional models were used for simulation: CASA model was used to calculate net primary productivity, RUSLE model was used to estimate soil conservation, RWEQ model was used to evaluate wind and sand fixation capacity, and InVEST model's water production module was used to simulate water source nutrient content.", "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_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "belong_to_nieer": false, "ds_topic_tags": [ "生态系统服务", "净初级生产力", "土壤保护", "沙尘暴预防", "产水量" ], "ds_subject_tags": [ "地理学其他学科" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 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": "赵文武", "email": "zhaoww@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "赵文武", "email": "zhaoww@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" } ], "ds_managers": [ { "true_name": "赵文武", "email": "zhaoww@bnu.edu.cn", "work_for": "北京师范大学", "country": "中国" } ], "category": "生态" }