Soil fauna drives SOC storage in a long-term irrigated dry pine forest
收藏资源简介:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). Data include: (1) properties of soils sampled in 2011 and 2019 (SOC and N concentrations and stocks, soil masses, 13C and 15N natural abundances, C/N ratios, clay content, pH, inorganic C, stoniness, bulk density); (2) litter mass loss and initial litter chemistry of dominant tree species (Quercus, Pinus, Viburnum) from a litter decomposition experiment carried out in 2014-2015; (3) soil fauna abundance sampled in 2015; (4) soil volumetric water content and soil temperature at 10 cm depth measured during the litter decomposition experiment in 2014-2015; (5) soil mesofauna (Acari and Collembola) diversity and community composition from sampling in 2017; (6) irrigation-induced changes in litterfall (2013-2014, 2016-2017), fine-root production (data 2015 from Brunner et al., 2019, Frontiers in Plant Science), annual soil respiration (estimated for 2014-2015), litter mass loss from litter decomposition experiment (May-October 2014), and SOC stocks measured in 2011 and 2019; (7) Moisture dependency of microbial soil respiration (0-10 cm depth, adapted from Joseph et al., 2020 PNAS), soil respiration measured in 2015 and abundance of Acari, Collembola and Lumbricidae sampled in 2015.
本数据集源自瑞士菲恩瓦尔德(Pfynwald)一项为期17年的灌溉实验,实验样地为以百年生欧洲赤松(Pinus sylvestris)为优势种的天然干旱林。数据集包含以下7类数据: 1. 2011年与2019年采集的土壤属性数据,包括土壤有机碳(Soil Organic Carbon, SOC)与氮浓度、储量,土壤质量,碳-13(¹³C)与氮-15(¹⁵N)天然丰度,碳氮比(C/N),黏粒含量,pH值,无机碳含量,石砾覆盖率,容重; 2. 2014-2015年枯落物分解实验中,优势树种(栎属Quercus、松属Pinus、荚蒾属Viburnum)的枯落物质量损失率及初始化学组成; 3. 2015年采集的土壤动物丰度数据; 4. 2014-2015年枯落物分解实验期间,10 cm深度处的土壤体积含水量与土壤温度; 5. 2017年采样获得的土壤中型动物群(蜱螨目Acari、弹尾纲Collembola)多样性与群落组成; 6. 灌溉处理对枯落物输入量的影响数据(2013-2014年、2016-2017年)、细根生产力数据(2015年数据源自Brunner等人2019年发表于《植物科学前沿》(Frontiers in Plant Science)的研究)、2014-2015年的年土壤呼吸估算值、2014年5-10月枯落物分解实验测得的枯落物质量损失率,以及2011年与2019年测得的土壤有机碳储量; 7. 土壤微生物呼吸的水分依赖性数据(0-10 cm深度,改编自Joseph等人2020年发表于《美国国家科学院院刊》(Proceedings of the National Academy of Sciences, PNAS)的研究)、2015年测得的土壤呼吸数据,以及2015年采集的蜱螨目、弹尾纲与正蚓科(Lumbricidae)动物丰度数据。



