占据全球广袤区域的沙漠生态系统以缓慢的速率大量吸收大气中的CO2，具有重要的固碳能力，但因监测匮乏、数据缺失和重视程度不够而被长期忽视。目前多数陆地生态系统碳汇功能评估中都将沙漠区域排除在外，导致诸多的评估结果中沙漠呈无数据的“灰色地带”，制约了全球碳收支评估的完整性和准确性。为此，基于多源数据，在沙漠流沙碳汇内部过程和驱动机制而建立的CO2通量经验估算方案的基础上，估算了塔克拉玛干沙漠腹地流沙区域的固碳能力。数据集包含覆盖中国整个塔克拉玛干沙漠流沙区域的CO2通量数据（2000-2022年）。该数据集可用于准确评估沙漠固碳潜力及其在碳循环中的准确贡献地位，并提升对沙漠地区固碳机理的全方位认识。
", "ds_source": "研究需要的数据有ERA5土壤温度和土壤湿度数据（2000-2022年）、塔中站CO2通量数据（2004-2017年）、塔中站土壤温度和土壤湿度数据（2004-2021年）。根据以上数据，利用沙漠流沙碳汇内部过程和驱动机制而建立的CO2通量经验估算方案，构建了塔克拉玛干沙漠流沙区域的CO2通量数据集（2000-2022年）。
", "ds_process_way": "该数据集是通过基于塔克拉玛干沙漠流沙碳汇内部过程和驱动机制而建立的CO2通量经验估算方案，结合欧洲中期天气预报中心发布的ERA5再分析土壤温湿度数据及大范围实地采样获得的土壤性质（土壤有机碳和pH）数据建立的。
", "ds_quality": "该数据集时间分辨率为小时、空间分辨率为0.25°，数据单位为g m-2 s-1
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "塔克拉玛干沙漠", "ds_acq_lon_east": 88.3, "ds_acq_lat_south": 36.833333333333336, "ds_acq_lon_west": 77.66666666666667, "ds_acq_lat_north": 41.13333333333333, "ds_acq_alt_low": 769.0, "ds_acq_alt_high": 4182.0, "ds_share_type": "apply-access", "ds_total_size": 3070763507, "ds_files_count": 3, "ds_format": ".tif", "ds_space_res": "20000m", "ds_time_res": "小时", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "c7c24aba-c512-4b76-864f-229c53bd3999.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "ed54f0d0-61df-4225-aaf1-1a88722cfdf0", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170" ], "quality_level": 3, "publish_time": "2025-07-29 00:49:25", "last_updated": "2025-08-15 23:27:10", "protected": false, "protected_to": "2025-07-24 00:00:00", "lang": "zh", "cstr": "11738.11.NCDC.IDM.DB6928.2025", "i18n": { "en": { "title": "Taklimakan Desert Shifting Sand CO₂ Flux Dataset (2000–2022)、Carbon Sequestration Capacity of Shifting Sand in the Taklimakan Desert", "ds_format": ".tif", "ds_source": "The data required for the research includes ERA5 soil temperature and soil moisture data (2000-2022), Tazhong Station CO2 flux data (2004-2017), and Tazhong Station soil temperature and soil moisture data (2004-2021). Based on the above data, an empirical estimation scheme for CO2 flux was established using the internal processes and driving mechanisms of desert quicksand carbon sinks, and a CO2 flux dataset (2000-2022) for the Taklamakan Desert quicksand region was constructed.
", "ds_quality": "The dataset has a time resolution of hours and a spatial resolution of 0.25 °, with data units of g m-2 s-1
", "ds_ref_way": "", "ds_abstract": "The desert ecosystems that occupy vast areas of the world slowly absorb a large amount of CO2 from the atmosphere and have important carbon sequestration capabilities, but they have been neglected for a long time due to lack of monitoring, missing data, and insufficient attention. At present, most terrestrial ecosystem carbon sequestration assessments exclude desert areas, resulting in many assessment results showing deserts as a \"gray area\" without data, which restricts the completeness and accuracy of global carbon balance assessments. To this end, based on multi-source data, an empirical estimation scheme for CO2 flux was established within the internal processes and driving mechanisms of desert quicksand carbon sinks, and the carbon sequestration capacity of the quicksand area in the hinterland of the Taklamakan Desert was estimated. The dataset contains CO2 flux data covering the entire Taklamakan Desert quicksand area in China from 2000 to 2022. This dataset can be used to accurately assess the carbon sequestration potential of deserts and their precise contribution to the carbon cycle, and enhance a comprehensive understanding of carbon sequestration mechanisms in desert areas.
", "ds_time_res": "小时", "ds_acq_place": "Taklimakan Desert", "ds_space_res": "20000m", "ds_projection": "", "ds_process_way": "This dataset is established through an empirical estimation scheme for CO2 flux based on the internal processes and driving mechanisms of the Taklamakan Desert sediment carbon sink, combined with ERA5 reanalysis soil temperature and humidity data released by the European Centre for Medium Range Weather Forecasts and soil properties (soil organic carbon and pH) data obtained from large-scale field sampling.
", "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, "ds_topic_tags": [ "流沙CO2通量", "固碳能力" ], "ds_subject_tags": [ "地球科学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔克拉玛干沙漠" ], "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 ], "ds_contributors": [ { "true_name": "杨帆", "email": "yangfan@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "黄建平", "email": "hjp@lzu.edu.cn", "work_for": "兰州大学", "country": "中国" }, { "true_name": "杨萍", "email": "shc_yangp@ujn.edu.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "高佳程", "email": "gaojiach@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" }, { "true_name": "宋美琪", "email": "songmq@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "杨帆", "email": "yangfan@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "杨帆", "email": "yangfan@idm.cn", "work_for": "中国气象局乌鲁木齐沙漠气象研究所", "country": "中国" } ], "category": "沙漠与荒漠化" }