Spatial variation and controlling factors of temperature sensitivity of soil respiration in forest ecosystems across China

doi:10.17521/cjpe.2019.0300

Abstract

Abstract:

Aims Our objective was to determine the spatial variation of the temperature sensitivity of soil respiration (Q₁₀) and it’s controlling factors in forest ecosystems across China.
Methods Based on published papers, the field measurement data of soil respiration were collected to build the dataset of annual Q₁₀ in forest ecosystems across China. Further, the spatial variation and the drivers of Q₁₀ in different forest types were analyzed.
Important findings The results showed that 1) Q₁₀ ranges from 1.09 to 6.24, with a mean value (± standard error) of 2.37 (± 0.04) and no significant difference among different forest types; 2) When all forest types were considered, Q₁₀ increased with increasing latitude, altitude, soil organic carbon content (SOC) and soil total nitrogen content (TN), but decreased with increasing longitude, mean annual temperature (MAT) and mean annual precipitation (MAP). Climate (MAT, MAP) and soil (SOC, TN) factors together explained 32.8% variations in Q₁₀. MAT and SOC were considered as the primary factors driving the spatial variation of Q₁₀. 3) Q₁₀ of different forest types responded differently to climate and soil factors. Q₁₀ decreased with the increase of MAP in the deciduous needleleaf forest (DNF), while Q₁₀ showed no significant correlation with MAP in other forest types. Q₁₀ increased with the increase of TN in evergreen broadleaved forest (EBF), deciduous broadleaved forest (DBF), evergreen needleleaf forest (ENF), and the sensitivity of Q₁₀ to TN was the highest in EBF and the lowest in ENF. Although Q₁₀ showed concentrated distribution trend, more attention should be paid to the large range of variation in future C budget studies. The primary driving factors and the response to environmental factors of Q₁₀ varied among forest types. Under the scenario of future climate change, Q₁₀may vary divergently among different forest types. Therefore, the divergent responses of key parameters of carbon cycle in different forest types to climate change should also be considered in future carbon-climate models.

Key words: soil respiration, temperature sensitivity, carbon cycle, CO₂ flux, soil carbon flux

ZHENG Jia-Jia, HUANG Song-Yu, JIA Xin, TIAN Yun, MU Yu, LIU Peng, ZHA Tian-Shan. Spatial variation and controlling factors of temperature sensitivity of soil respiration in forest ecosystems across China[J]. Chin J Plant Ecol, 2020, 44(6): 687-698.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2019.0300

https://www.plant-ecology.com/EN/Y2020/V44/I6/687

Figures/Tables 7

References 59

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变量所属类型 Type of variable	变量 Variable
地理位置 Site	纬度(° N)、经度(° E)、海拔(m) Latitude (° N), Longitude (° E), Altitude (m)
气象因素 Climate factor	年平均气温(℃), 年降水量(mm), 年蒸发散(mm), 干燥指数(mm·mm^-1), 试验地当年平均气温(℃), 试验地当年降水量(mm) Mean annual temperature (℃), mean annual precipitation (mm), annual evapotranspiration (mm), aridity index (mm·mm^-1), mean annual temperature of study sites (℃), mean annual precipitation of study sites (mm)
植被因素 Vegetation factor	林分类型, 林龄(a), 叶面积指数(m²·m^-2) Stand type, stand age (a), leaf area index (m²·m^-2)
土壤温湿度 Soil temperature and moisture	测量期间平均土壤温度(℃), 测量期间土壤温度振幅(℃), 测量期间土壤体积含水率(m³·m^-3), 测量期间土壤质量含水率(%) Mean soil temperature during measurement (℃), soil temperature amplitude during measurement (℃), Soil volumetric water content during measurement (m³·m^-3), soil mass water content during measurement (%)
土壤理化性质 Soil physicochemical property	土壤有机碳含量(g·kg^-1), 土壤全氮含量(g·kg^-1), 土壤碳氮比, 土壤容重(g·cm^-3), 土壤酸碱度 Soil organic carbon content (g·kg^-1), soil total nitrogen content (g·kg^-1), soil carbon-nitrogen ratio, soil bulk density (g·cm^-3), soil pH
土壤呼吸温度敏感性 Temperature sensitivity of soil respiration	土壤呼吸温度敏感性(Q₁₀), Van’t Hoff方程的决定系数(R²) Temperature sensitivity of soil respiration (Q₁₀), the determination coefficient of Van’t Hoff equation (R²)
观测方法信息 Measurement method information	开始测量日期, 结束测量日期, CO₂测定方法(碱溶液吸收法, 气象色谱法, 红外法), 气室方法(静态密闭气室法, 动态密闭气室法、自动开闭气室法) Start date of measurement, end date of measurement, CO₂ measurement method (Alkali solution absorption, Gas chromatography, Infrared method), chamber method (Static closed chamber, Dynamic closed chamber, Automatic opening and closing chamber)
文献信息 Literature information	参考文献 References

变量所属类型 Type of variable	变量 Variable
地理位置 Site	纬度(° N)、经度(° E)、海拔(m) Latitude (° N), Longitude (° E), Altitude (m)
气象因素 Climate factor	年平均气温(℃), 年降水量(mm), 年蒸发散(mm), 干燥指数(mm·mm^-1), 试验地当年平均气温(℃), 试验地当年降水量(mm) Mean annual temperature (℃), mean annual precipitation (mm), annual evapotranspiration (mm), aridity index (mm·mm^-1), mean annual temperature of study sites (℃), mean annual precipitation of study sites (mm)
植被因素 Vegetation factor	林分类型, 林龄(a), 叶面积指数(m²·m^-2) Stand type, stand age (a), leaf area index (m²·m^-2)
土壤温湿度 Soil temperature and moisture	测量期间平均土壤温度(℃), 测量期间土壤温度振幅(℃), 测量期间土壤体积含水率(m³·m^-3), 测量期间土壤质量含水率(%) Mean soil temperature during measurement (℃), soil temperature amplitude during measurement (℃), Soil volumetric water content during measurement (m³·m^-3), soil mass water content during measurement (%)
土壤理化性质 Soil physicochemical property	土壤有机碳含量(g·kg^-1), 土壤全氮含量(g·kg^-1), 土壤碳氮比, 土壤容重(g·cm^-3), 土壤酸碱度 Soil organic carbon content (g·kg^-1), soil total nitrogen content (g·kg^-1), soil carbon-nitrogen ratio, soil bulk density (g·cm^-3), soil pH
土壤呼吸温度敏感性 Temperature sensitivity of soil respiration	土壤呼吸温度敏感性(Q₁₀), Van’t Hoff方程的决定系数(R²) Temperature sensitivity of soil respiration (Q₁₀), the determination coefficient of Van’t Hoff equation (R²)
观测方法信息 Measurement method information	开始测量日期, 结束测量日期, CO₂测定方法(碱溶液吸收法, 气象色谱法, 红外法), 气室方法(静态密闭气室法, 动态密闭气室法、自动开闭气室法) Start date of measurement, end date of measurement, CO₂ measurement method (Alkali solution absorption, Gas chromatography, Infrared method), chamber method (Static closed chamber, Dynamic closed chamber, Automatic opening and closing chamber)
文献信息 Literature information	参考文献 References

森林类型 Forest type	回归方程 Regression equation	R²	F	p	n
DBF	Q₁₀ = -0.027MAT + 0.334TN + 2.00	0.38	13.06	<0.01	46
DNF	Q₁₀ = -0.099MAT + 0.066SOC + 2.81	0.99	99.86	<0.01	6
EBF	Q₁₀ = -0.001MAP + 0.451TN + 2.92	0.50	28.38	<0.01	61
ENF	Q₁₀ = -0.060MAT + 0.006SOC + 3.11	0.44	22.97	<0.01	61
MF	Q₁₀ = -0.041MAT + 0.014SOC + 2.72	0.33	6.30	<0.01	29
All	Q₁₀ = -0.047MAT + 0.012SOC + 2.83	0.33	49.55	<0.01	208

森林类型 Forest type	回归方程 Regression equation	R²	F	p	n
DBF	Q₁₀ = -0.027MAT + 0.334TN + 2.00	0.38	13.06	<0.01	46
DNF	Q₁₀ = -0.099MAT + 0.066SOC + 2.81	0.99	99.86	<0.01	6
EBF	Q₁₀ = -0.001MAP + 0.451TN + 2.92	0.50	28.38	<0.01	61
ENF	Q₁₀ = -0.060MAT + 0.006SOC + 3.11	0.44	22.97	<0.01	61
MF	Q₁₀ = -0.041MAT + 0.014SOC + 2.72	0.33	6.30	<0.01	29
All	Q₁₀ = -0.047MAT + 0.012SOC + 2.83	0.33	49.55	<0.01	208