{
    "created": "2025-03-25 11:08:13",
    "updated": "2026-05-09 01:03:06",
    "id": "2156a93f-ca0a-4f63-afa7-02ec29000898",
    "version": 9,
    "ds_topic": null,
    "title_cn": "中国森林生态系统土壤呼吸多时间尺度数据集（2000-2018年）",
    "title_en": "Soil respiration at different time scales from 2000 to 2018 in forest ecosystems across China",
    "ds_abstract": "<p>&emsp;&emsp;中国森林面积居世界第五位，覆盖了从寒温带到热带的广泛气候梯度，在全球碳循环中发挥着重要作用。过去二十年来，中国对森林土壤呼吸作用（Rs）的研究迅速增加，基于此，本数据集从截至2018年12月31日发表的文献中整理出中国未受干扰森林生态系统Rs的综合数据集，包括月Rs和同时测量的土壤温度（N=8317）、月平均Rs（N=5003）和年Rs（N=634）。此外，还记录了详细的地块信息，如地理位置、气候因素、林分特征和测量描述，以及研究了数据集的其他方面--与土壤温度拟合的Rs方程、温度敏感性（Q10）、月变化以及寒温带、温带、亚热带和热带地区的年流出量。希望该数据集能为科学界所用，以更好地理解中国森林生态系统的碳循环，减少大尺度碳预算评估的不确定性。",
    "ds_source": "<p>&emsp;&emsp;本数据集来源于PANGAEA网站（https://doi.org/10.1594/PANGAEA.943617）。",
    "ds_process_way": "<p>&emsp;&emsp;本数据集选择常用的测量方法，即红外气体分析仪（Li-6400、Li-8100、Li-8150 型（LI-COR 公司，美国内布拉斯加州林肯市））和气相色谱法。同时，还记录了相关信息，如地理位置（省份、研究地点、纬度、经度和海拔）、气候因素（年平均气温和年平均降水量）、林分描述（森林类型、起源、年龄、密度、平均树高和胸径）、测量制度（方法、时间、频率、领区面积、高度和数量）。",
    "ds_quality": "<p>&emsp;&emsp;数据质量较好。",
    "ds_acq_start_time": "2000-01-01 00:00:00",
    "ds_acq_end_time": "2018-12-31 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": 228315,
    "ds_files_count": 2,
    "ds_format": "csv",
    "ds_space_res": "",
    "ds_time_res": "月",
    "ds_coordinate": "无",
    "ds_projection": "",
    "ds_thumbnail": "2156a93f-ca0a-4f63-afa7-02ec29000898.png",
    "ds_thumb_from": 2,
    "ds_ref_way": "",
    "paper_ref_way": "",
    "ds_ref_instruction": "",
    "ds_from_station": null,
    "organization_id": "99c0a56f-14cb-4cfc-a9a1-bb4b8d16a658",
    "ds_serv_man": "敏玉芳",
    "ds_serv_phone": "0931-4967596",
    "ds_serv_mail": "ncdc@lzb.ac.cn",
    "doi_value": "",
    "subject_codes": [
        "170.45"
    ],
    "quality_level": 3,
    "publish_time": "2025-03-28 19:01:12",
    "last_updated": "2026-01-14 10:57:59",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.PANGAEA.DB6811.2025",
    "i18n": {
        "en": {
            "title": "Soil respiration at different time scales from 2000 to 2018 in forest ecosystems across China",
            "ds_format": "csv",
            "ds_source": "<p>&emsp;This dataset is sourced from the PANGAEA website（ https://doi.org/10.1594/PANGAEA.943617 ）.",
            "ds_quality": "<p>&emsp;The data quality is good.",
            "ds_ref_way": "",
            "ds_abstract": "<p> China ranks fifth in the world in terms of forest area, covering a wide climate gradient from cold temperate to tropical regions, and playing an important role in the global carbon cycle. In the past two decades, research on forest soil respiration (Rs) in China has rapidly increased, but the resulting Rs data needs to be summarized. Based on this, this dataset compiles a comprehensive dataset of undisturbed forest ecosystem Rs in China from literature published up to December 31, 2018, including monthly Rs and simultaneously measured soil temperature (N=8317), monthly average Rs (N=5003), and annual Rs (N=634). In addition, detailed plot information was recorded, such as geographic location, climatic factors, forest characteristics, and measurement descriptions. Studied some aspects of the dataset - the Rs equation fitted to soil temperature, temperature sensitivity (Q10), monthly variations, and annual outflows in cold temperate, temperate, subtropical, and tropical regions. I hope this dataset can be used by the scientific community to better understand the carbon cycle of China's forest ecosystems and reduce the uncertainty of large-scale carbon budget assessments.</p>",
            "ds_time_res": "月",
            "ds_acq_place": "China",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;This dataset selects commonly used measurement methods, namely infrared gas analyzer (Li-6400, Li-8100, Li-8150 models (LI-COR company, Lincoln, Nebraska, USA) and gas chromatography. At the same time, relevant information was also recorded, such as geographical location (province, research site, latitude, longitude, and altitude), climatic factors (annual average temperature and annual average precipitation), forest stand description (forest type, origin, age, density, average tree height, and diameter at breast height), measurement system (method, time, frequency, territorial area, height, and quantity).",
            "ds_ref_instruction": ""
        }
    },
    "submit_center_id": "ncdc",
    "data_level": 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,
    "ds_topic_tags": [
        "土壤呼吸（RS）",
        "森林",
        "土壤温度"
    ],
    "ds_subject_tags": [
        "地理学"
    ],
    "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
    ],
    "ds_contributors": [
        {
            "true_name": "贾丙瑞",
            "email": "jiabingrui@ibcas.ac.cn",
            "work_for": "中国科学院植物研究所植被与环境变化国家重点实验室",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "贾丙瑞",
            "email": "jiabingrui@ibcas.ac.cn",
            "work_for": "中国科学院植物研究所植被与环境变化国家重点实验室",
            "country": "中国"
        }
    ],
    "ds_managers": [
        {
            "true_name": "贾丙瑞",
            "email": "jiabingrui@ibcas.ac.cn",
            "work_for": "中国科学院植物研究所植被与环境变化国家重点实验室",
            "country": "中国"
        }
    ],
    "category": "生态"
}