本数据检索了1990至2024年间探讨全球变化因子对陆地生态系统土壤激发效应影响的同行评审文献。纳入分析的全球变化因子包括：氮沉降、气候变暖、降水增加、二氧化碳富集、土地利用变化及放牧，评估了全球变化下激发效应的响应及调控机制。本数据为优化未来气候变化情景下土壤有机碳动态的预测提供了关键参考依据。", "ds_source": "
1.激发效应数据：源自筛选后的论文数据。\n
2.气候、土壤性质数据：文章中提供；若文章未提供则，气象变量基于各站点的地理坐标，从WorldClim database（http://www.worldclim.org）获取；土壤理化基于各站点坐标，从 SoilGrids250m 2.0 database (http://soilgrids.org)获取。\n
3.生态系统类型和实验属性数据源自筛选后的论文数据。", "ds_process_way": "
激发效应计算参考Feng and Zhu (2021) 和 Favaro et al. (2025)的公式：Favaro, A., Singh, B., Warren, C., and Dijkstra, F. A. 2025. “Differences between priming and rhizosphere priming effects: Concepts and mechanisms.” Soil Biology and Biochemistry 205: 109769. https://doi.org/10.1016/j.soilbio.2025.109769\nFeng, J., and Zhu, B. 2021. “Does calculation method affect the nutrient-addition effect on priming?” Geoderma 393: 115040. https://doi.org/10.1016/j.geoderma.2021.115040", "ds_quality": "
数据质量良好。", "ds_acq_start_time": "1990-01-01 00:00:00", "ds_acq_end_time": "2024-12-31 00:00:00", "ds_acq_place": "全球", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": -90.0, "ds_acq_lon_west": -180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 776918, "ds_files_count": 2, "ds_format": "*.xlsx", "ds_space_res": "", "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "3ac5ea6e-2a7c-4d04-9d3f-9c9e407ef555.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.4510" ], "quality_level": 3, "publish_time": "2026-01-15 15:07:43", "last_updated": "2026-03-23 09:54:08", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NIEER.DB7060.2026", "i18n": { "en": { "title": "Dataset on Soil Priming Effect Responses to Multiple Global Change Factors", "ds_format": "", "ds_source": "
1.Priming effect data: Derived from the screened paper data.\n
2.Climate and soil property data: Provided in the article; if not available in the article, meteorological variables were obtained from the WorldClim database (http://www.worldclim.org) based on the geographic coordinates of each sampling site; soil physical and chemical properties were obtained from the SoilGrids250m 2.0 database (http://soilgrids.org) based on the coordinates of each sampling site.\n
3.Ecosystem type and experimental attribute data: Obtained from the screened paper data.", "ds_quality": "
The data quality is good.", "ds_ref_way": "", "ds_abstract": "
This dataset retrieves peer-reviewed literature from 1990 to 2024 examining the impact of global change factors on soil priming effects in terrestrial ecosystems. Included global change factors encompass nitrogen deposition, climate warming, increased precipitation, elevated carbon dioxide concentrations, land-use change, and grazing. The analysis evaluates responses to priming effects under global change and their regulatory mechanisms. This dataset provides critical reference for optimizing predictions of soil organic carbon dynamics under future climate change scenarios.", "ds_time_res": "年", "ds_acq_place": "global", "ds_space_res": "", "ds_projection": "", "ds_process_way": "
The priming effect was calculated as follows Feng and Zhu (2021) and Favaro et al. (2025)：Favaro, A., Singh, B., Warren, C., and Dijkstra, F. A. 2025. “Differences between priming and rhizosphere priming effects: Concepts and mechanisms.” Soil Biology and Biochemistry 205: 109769. https://doi.org/10.1016/j.soilbio.2025.109769\nFeng, J., and Zhu, B. 2021. “Does calculation method affect the nutrient-addition effect on priming?” Geoderma 393: 115040. https://doi.org/10.1016/j.geoderma.2021.115040", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "激发效应", "气候变化", "元分析", "土壤碳氮比", "氮挖掘", "碳动态" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 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, 2021, 2022, 2023, 2024 ], "ds_contributors": [ { "true_name": "徐敏", "email": "minxu@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院玉龙雪山冰冻圈与可持续发展国家野外科学观测研究站", "country": "中国" }, { "true_name": "王世金", "email": "wangshijin@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院冰冻圈科学与冻土工程重点实验室", "country": "中国" }, { "true_name": "陈生云", "email": "sychen@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院,冰冻圈科学国家重点实验室,疏勒河源冰冻圈与生态环境综合监测研究站", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈生云", "email": "sychen@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院,冰冻圈科学国家重点实验室,疏勒河源冰冻圈与生态环境综合监测研究站", "country": "中国" }, { "true_name": "徐敏", "email": "minxu@nieer.ac.cn", "work_for": "中国科学院西北生态环境资源研究院玉龙雪山冰冻圈与可持续发展国家野外科学观测研究站", "country": "中国" } ], "ds_managers": [ { "true_name": "陈生云", "email": "sychen@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院,冰冻圈科学国家重点实验室,疏勒河源冰冻圈与生态环境综合监测研究站", "country": "中国" } ], "category": "生态" }