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Relationship between basal soil respiration and the temperature sensitivity of soil respiration and their key controlling factors across terrestrial ecosystems.

Authors :
Chen, Shutao
Zhang, Miaomiao
Zou, Jianwen
Hu, Zhenghua
Source :
Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation; Mar2022, Vol. 22 Issue 3, p769-781, 13p
Publication Year :
2022

Abstract

Purpose: The purposes of this study are to characterize the relationship between basal soil respiration at 0 °C (R<subscript>0</subscript>) and the temperature sensitivity (Q<subscript>10</subscript>) of soil respiration and climate, soil, and vegetation factors and to establish R<subscript>0</subscript> and Q<subscript>10</subscript> models. Materials and methods: We compiled R<subscript>0</subscript> and Q<subscript>10</subscript> and variables (i.e., climate factors, soil properties, and vegetation characteristics) that were measured in various terrestrial ecosystems. Results and discussion: The results showed that both R<subscript>0</subscript> and Q<subscript>10</subscript> could generally be fitted by a normal distribution curve across various ecosystems, but they varied greatly among the different ecosystems. The lowest median R<subscript>0</subscript> and Q<subscript>10</subscript> appeared in the desert, while the highest median R<subscript>0</subscript> and Q<subscript>10</subscript> appeared in the deciduous broad-leaf forest and deciduous needle-leaf forest ecosystems, respectively. The relationship between R<subscript>0</subscript> and Q<subscript>10</subscript> across different soil depths varied among the different ecosystems, with the highest and lowest R<superscript>2</superscript> occurring in the cropland (R<superscript>2</superscript> = 0.701) and evergreen needle-leaf forest (R<superscript>2</superscript> = 0.095), respectively. A model that included Q<subscript>10</subscript>, fine root production and the ratio of soil organic carbon to total nitrogen (TN) explained 75.0% (R<superscript>2</superscript> = 0.750) of the variation in R<subscript>0</subscript>, with a P value less than 0.001. Q<subscript>10</subscript> was further expressed as a model (R<superscript>2</superscript> = 0.663, P < 0.001) including annual precipitation, mean air temperature, TN, bulk density, and leaf area index. Conclusions: Our R<subscript>0</subscript> models can potentially be used to improve terrestrial carbon cycle models by considering the comprehensive effects of Q<subscript>10</subscript> and soil and vegetation factors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14390108
Volume :
22
Issue :
3
Database :
Complementary Index
Journal :
Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation
Publication Type :
Academic Journal
Accession number :
155280229
Full Text :
https://doi.org/10.1007/s11368-021-03130-7