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High-resolution Carbon cycling data from 2019 to 2021 measured at six Austrian LTER sites
Earth System Science Data ( IF 11.2 ) Pub Date : 2024-06-03 , DOI: 10.5194/essd-2024-110 Thomas Dirnböck , Michael Bahn , Eugenio Diaz-Pines , Ika Djukic , Michael Englisch , Karl Gartner , Günther Gollobich , Armin Hofbauer , Johannes Ingrisch , Barbara Kitzler , Karl Knaebel , Johannes Kobler , Andreas Maier , Christoph Wohner , Ivo Offenthaler , Johannes Peterseil , Gisela Pröll , Sarah Venier , Sophie Zechmeister , Anita Zolles , Stephan Glatzel
Earth System Science Data ( IF 11.2 ) Pub Date : 2024-06-03 , DOI: 10.5194/essd-2024-110 Thomas Dirnböck , Michael Bahn , Eugenio Diaz-Pines , Ika Djukic , Michael Englisch , Karl Gartner , Günther Gollobich , Armin Hofbauer , Johannes Ingrisch , Barbara Kitzler , Karl Knaebel , Johannes Kobler , Andreas Maier , Christoph Wohner , Ivo Offenthaler , Johannes Peterseil , Gisela Pröll , Sarah Venier , Sophie Zechmeister , Anita Zolles , Stephan Glatzel
Abstract. Seven long-term observation sites have been established in six regions across Austria, covering major ecosystem types such as forests, grasslands and wetlands across a wide bioclimatic range. The purpose of these observations is to measure key ecosystem parameters serving as baselines for assessing the impacts of extreme climate events on the carbon cycle. The data sets collected include meteorological variables, soil microclimate, CO2 fluxes and tree stem growth, all recorded at high temporal resolution between 2019 and 2021 (including one year of average climate conditions and two comparatively dry years). The DOIs of the dataset can be found in the data availability chapter. The sites will be integrated into the European Research Infrastructure for Integrated European Long-Term Ecosystem, Critical Zone, and Socio-Ecological Research (eLTER RI). Subsequently, new data covering the variables presented here will be continuously available through its data integration portal. This step will allow the data to reach its full potential for research on drought-related ecosystem carbon cycling.
中文翻译:
2019 年至 2021 年在六个奥地利 LTER 站点测量的高分辨率碳循环数据
摘要。奥地利六个地区建立了七个长期观测点,覆盖广泛的生物气候范围内的森林、草原和湿地等主要生态系统类型。这些观测的目的是测量关键的生态系统参数,作为评估极端气候事件对碳循环影响的基线。收集的数据集包括气象变量、土壤小气候、二氧化碳 2 通量和树干生长,所有数据均在2019年至2021年期间以高时间分辨率记录(包括一年平均气候条件和两个相对干燥的年份)。数据集的 DOI 可以在数据可用性章节中找到。这些站点将被纳入欧洲综合长期生态系统、关键区和社会生态研究研究基础设施(eLTER RI)。随后,涵盖此处提供的变量的新数据将通过其数据集成门户持续提供。这一步骤将使数据充分发挥其研究干旱相关生态系统碳循环的潜力。
更新日期:2024-06-03
中文翻译:
2019 年至 2021 年在六个奥地利 LTER 站点测量的高分辨率碳循环数据
摘要。奥地利六个地区建立了七个长期观测点,覆盖广泛的生物气候范围内的森林、草原和湿地等主要生态系统类型。这些观测的目的是测量关键的生态系统参数,作为评估极端气候事件对碳循环影响的基线。收集的数据集包括气象变量、土壤小气候、二氧化碳 2 通量和树干生长,所有数据均在2019年至2021年期间以高时间分辨率记录(包括一年平均气候条件和两个相对干燥的年份)。数据集的 DOI 可以在数据可用性章节中找到。这些站点将被纳入欧洲综合长期生态系统、关键区和社会生态研究研究基础设施(eLTER RI)。随后,涵盖此处提供的变量的新数据将通过其数据集成门户持续提供。这一步骤将使数据充分发挥其研究干旱相关生态系统碳循环的潜力。