Soil microbial communities are primarily regulated by environmental temperature. Our study investigated the effects of global warming on soil microbial community composition as measured via phospholipid fatty acid （P...Soil microbial communities are primarily regulated by environmental temperature. Our study investigated the effects of global warming on soil microbial community composition as measured via phospholipid fatty acid （PLFA） analysis and soil chemical characteristics in relation to soil depth in a dragon spruce plantation and a spruce-fir-dominated natural forestin the Eastern Tibetan Plateau. Opentop chambers were utilized to increase the soil and air temperature. Soil samples were collected from the o-10 cm, 10-20cm, and 20-30 cm layers after a 4-year warming. Our results showed that the soil microbial community and the contents of TC （Total carbon）, TN （Total nitrogen）. NO3-. and NH4＋ responded differently to warming in the two contrasting forests, especially at the 0-10 cm soil depth. Warming increased soil microbial biomass at the 0-20 cm depth of soil in natural forest but reduced it at the o-lo cm depth ofsoil in the plantation. In contrast, the TC and TN contents were reduced in most soil layers of a natural forest but increased in all of the soil layers of the plantation under warming conditions. This result suggested that the effects of warming on soil microbial community and soil C and N pools would differ according to soil depth and forest types; thus, the two contrasting forests would under go differing changes following the future climate warming in this region.展开更多
采用线性回归法对长江源区2011—2021年土壤水分含量年际变化趋势进行分析,采用t检验法对长江源区2011—2021年平均气温和降水量变化与土壤水分含量变化间的相关性分析,并采用CMIP5全球气候模型的3种情景(RCP2.6、RCP4.5、RCP8.5)下耦合...采用线性回归法对长江源区2011—2021年土壤水分含量年际变化趋势进行分析,采用t检验法对长江源区2011—2021年平均气温和降水量变化与土壤水分含量变化间的相关性分析,并采用CMIP5全球气候模型的3种情景(RCP2.6、RCP4.5、RCP8.5)下耦合SWAT(Soil and Water Assessment Tool)水文模型,预测长江源区未来(2022—2100年)土壤水分年际、年内变化趋势.结果表明,长江源区2011—2021年土壤水分整体呈减少趋势,年平均气温和降水量与土壤水分变化具有明显的相关性(P<0.05). 3种RCPs气候情景下,21世纪末期(2081—2090年)土壤水分含量较21世纪中期(2041—2050年)减少,4—9月土壤水分占全年土壤水分占比较21世纪中期降低.土壤水分年际间波动较大,在50%~500%之间变动,土壤水分年内分布不均匀,1—5月土壤水分增加,6—12月土壤水分递减,1—2月土壤水分变化趋势相对平稳,年内各月份土壤水分含量差别较大.在3种RCPs气候情景下,长江源区未来土壤水分存在明显减少趋势,应加强长江源区土壤水系保护.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.31570477,31100446)the Research Fund of the Ecological Security and Protection Key Laboratory of Sichuan Province,Mianyang Normal University(Grant No.EPS201302)the Research Fund of State Key Laboratory of Soil and Sustainable Agriculture,Nanjing Institute of Soil Science,Chinese Academy of Science(Grant No.Y412201415)
文摘Soil microbial communities are primarily regulated by environmental temperature. Our study investigated the effects of global warming on soil microbial community composition as measured via phospholipid fatty acid （PLFA） analysis and soil chemical characteristics in relation to soil depth in a dragon spruce plantation and a spruce-fir-dominated natural forestin the Eastern Tibetan Plateau. Opentop chambers were utilized to increase the soil and air temperature. Soil samples were collected from the o-10 cm, 10-20cm, and 20-30 cm layers after a 4-year warming. Our results showed that the soil microbial community and the contents of TC （Total carbon）, TN （Total nitrogen）. NO3-. and NH4＋ responded differently to warming in the two contrasting forests, especially at the 0-10 cm soil depth. Warming increased soil microbial biomass at the 0-20 cm depth of soil in natural forest but reduced it at the o-lo cm depth ofsoil in the plantation. In contrast, the TC and TN contents were reduced in most soil layers of a natural forest but increased in all of the soil layers of the plantation under warming conditions. This result suggested that the effects of warming on soil microbial community and soil C and N pools would differ according to soil depth and forest types; thus, the two contrasting forests would under go differing changes following the future climate warming in this region.
文摘采用线性回归法对长江源区2011—2021年土壤水分含量年际变化趋势进行分析,采用t检验法对长江源区2011—2021年平均气温和降水量变化与土壤水分含量变化间的相关性分析,并采用CMIP5全球气候模型的3种情景(RCP2.6、RCP4.5、RCP8.5)下耦合SWAT(Soil and Water Assessment Tool)水文模型,预测长江源区未来(2022—2100年)土壤水分年际、年内变化趋势.结果表明,长江源区2011—2021年土壤水分整体呈减少趋势,年平均气温和降水量与土壤水分变化具有明显的相关性(P<0.05). 3种RCPs气候情景下,21世纪末期(2081—2090年)土壤水分含量较21世纪中期(2041—2050年)减少,4—9月土壤水分占全年土壤水分占比较21世纪中期降低.土壤水分年际间波动较大,在50%~500%之间变动,土壤水分年内分布不均匀,1—5月土壤水分增加,6—12月土壤水分递减,1—2月土壤水分变化趋势相对平稳,年内各月份土壤水分含量差别较大.在3种RCPs气候情景下,长江源区未来土壤水分存在明显减少趋势,应加强长江源区土壤水系保护.
