{"title":"2016-2022年中国东北部分半干旱森林烧毁区地面水热系统和土壤养分综合监测数据集","authors":"Xiaoying Li, Huijun Jin, Qi Feng, Qingbai Wu, Hongwei Wang, Ruixia He, Dongliang Luo, Xiaoli Chang, Raul-David Șerban, Tao Zhan","doi":"10.5194/essd-2024-187","DOIUrl":null,"url":null,"abstract":"<strong>Abstract.</strong> Under a warming climate, occurrences of wildfires have been increasingly more frequent in boreal and arctic forests during the last few decades. Wildfires can cause radical changes in the forest ecosystems and permafrost environment, such as irreversible degradation of permafrost, successions of boreal forests, rapid and massive losses of soil carbon stock, and increased periglacial geohazards. Since 2016, we have gradually and more systematically established a network for studying soil nutrients and monitoring the hydrothermal state of the active layer and near-surface permafrost in the northern Da Xing’anling (Hinggan) Mountains in Northeast China. The dataset of soil moisture content (0–9.4 m in depth), soil organic carbon (0–3.6 m), total nitrogen (0–3.6 m), and total phosphorus and potassium (0–3.6 m) have been obtained by field sampling and ensuing laboratory tests. Long-term datasets (2017–2022) of ground temperatures (0–20 m) and active layer thickness have been observed by thermistor cables permanently installed in boreholes. The present data can be used to simulate changes in permafrost features under a changing climate and wildfire disturbances and to explore the changing interactive mechanisms of the fire-permafrost-carbon system in the hemiboreal forest. Furthermore, can provide baseline data for studies and action plans to support the carbon neutralization initiative and assessment of ecological safety and management of the permafrost environment. This dataset can be easily accessed from the National Tibetan Plateau/Third Pole Environment Data Center (https://doi.org/10.11888/Cryos.tpdc.300933, Li and Jin, 2024).","PeriodicalId":48747,"journal":{"name":"Earth System Science Data","volume":"4 1","pages":""},"PeriodicalIF":11.2000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An integrated dataset of ground hydrothermal regimes and soil nutrients monitored during 2016–2022 in some previously burned areas in hemiboreal forests in Northeast China\",\"authors\":\"Xiaoying Li, Huijun Jin, Qi Feng, Qingbai Wu, Hongwei Wang, Ruixia He, Dongliang Luo, Xiaoli Chang, Raul-David Șerban, Tao Zhan\",\"doi\":\"10.5194/essd-2024-187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Abstract.</strong> Under a warming climate, occurrences of wildfires have been increasingly more frequent in boreal and arctic forests during the last few decades. 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引用次数: 0
摘要
摘要在气候变暖的情况下,过去几十年来,北方和北极森林中的野火发生得越来越频繁。野火会使森林生态系统和冻土环境发生剧烈变化,如冻土不可逆转的退化、北方森林的演替、土壤碳储量的快速和大量损失以及冰川周围地质灾害的增加等。自2016年以来,我们在中国东北大兴安岭(兴安岭)北部逐步建立了较为系统的土壤养分研究和活动层及近表层冻土水热状态监测网络。土壤含水量(0-9.4 米)、土壤有机碳(0-3.6 米)、全氮(0-3.6 米)、全磷和全钾(0-3.6 米)数据集是通过野外采样和随后的实验室测试获得的。通过永久安装在钻孔中的热敏电阻电缆观测到了地温(0-20 米)和活性层厚度的长期数据集(2017-2022 年)。目前的数据可用于模拟在不断变化的气候和野火干扰下永久冻土特征的变化,并探索半寒带森林中火灾-永久冻土-碳系统不断变化的互动机制。此外,还可为研究和行动计划提供基准数据,以支持碳中和倡议以及永冻土环境的生态安全和管理评估。该数据集可从国家青藏高原/第三极环境数据中心轻松获取(https://doi.org/10.11888/Cryos.tpdc.300933, Li and Jin, 2024)。
An integrated dataset of ground hydrothermal regimes and soil nutrients monitored during 2016–2022 in some previously burned areas in hemiboreal forests in Northeast China
Abstract. Under a warming climate, occurrences of wildfires have been increasingly more frequent in boreal and arctic forests during the last few decades. Wildfires can cause radical changes in the forest ecosystems and permafrost environment, such as irreversible degradation of permafrost, successions of boreal forests, rapid and massive losses of soil carbon stock, and increased periglacial geohazards. Since 2016, we have gradually and more systematically established a network for studying soil nutrients and monitoring the hydrothermal state of the active layer and near-surface permafrost in the northern Da Xing’anling (Hinggan) Mountains in Northeast China. The dataset of soil moisture content (0–9.4 m in depth), soil organic carbon (0–3.6 m), total nitrogen (0–3.6 m), and total phosphorus and potassium (0–3.6 m) have been obtained by field sampling and ensuing laboratory tests. Long-term datasets (2017–2022) of ground temperatures (0–20 m) and active layer thickness have been observed by thermistor cables permanently installed in boreholes. The present data can be used to simulate changes in permafrost features under a changing climate and wildfire disturbances and to explore the changing interactive mechanisms of the fire-permafrost-carbon system in the hemiboreal forest. Furthermore, can provide baseline data for studies and action plans to support the carbon neutralization initiative and assessment of ecological safety and management of the permafrost environment. This dataset can be easily accessed from the National Tibetan Plateau/Third Pole Environment Data Center (https://doi.org/10.11888/Cryos.tpdc.300933, Li and Jin, 2024).
Earth System Science DataGEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍:
Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.