Biochar increased soil respiration in temperate forests but had no effects in subtropical forests

Guiyao Zhou, Xuhui Zhou, Tao Zhang, Zhenggang Du, Yanghui He, Xihua Wang, Junjiong Shao, Ye Cao, Shenggui Xue, Hailong Wang, Chengyuan Xu

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)

Abstract

As a climate change mitigation strategy, biochar application to soil has been demonstrated to increase soil carbon (C) sequestration and reduce greenhouse gas (GHG) emission. Although numerous manipulative studies have been conducted, it is still not fully understood how biochar application affects soil respiration (Rs) and its components (i.e., autotrophic [Ra] and heterotrophic respiration [Rh]) in forest ecosystems, especially in subtropical forests. In this study, we performed a meta-analysis of forest ecosystems and a field experiment with biochar amendments of 0, 10, and 30 t ha−1 in a subtropical forest in Zhejiang, China to examine the effects of biochar application on Rs and its components. Our results showed that biochar application significantly increased Rs by 20.92% at the global scale with an increase of 20.25% in temperate forests and a nonsignificant effect in subtropical forests. Responses of Rs to biochar application varied with experimental methods and soil textures. Similarly, our field experiment showed that biochar amendment did not significantly affect Ra, Rh, and Rs in a subtropical forest in Eastern China. Specifically, the average Rs under biochar amendments of 0, 10, and 30 t ha−1 were 2.37, 2.06 and 2.15 μmol m−2 s−1, respectively (P > 0.05). Both Rs and Rh were positively correlated with microbial biomass C (MBC) and negatively with dissolved organic C (DOC). Both apparent temperature sensitivity (Q10) of Rh and Rs were significantly higher under biochar treatments than in the control. Our findings indicate the importance of the differential effects of biochar application on Rs in different forest types for C sequestration, which may inform ecosystem and regional models to improve prediction of biochar effects on forest C dynamics and climate-biosphere feedbacks.

Original languageEnglish
Pages (from-to)339-349
Number of pages11
JournalForest Ecology and Management
Volume405
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Bibliographical note

Funding Information:
The authors thank two anonymous reviewers for their insightful comments and suggestions. This research was financially supported by the National Natural Science Foundation of China (Grant nos. 31370489 , 31560151 ), “Thousand Young Talents” Program in China, the research plan of Qinghai Science and Technology Department (Grant No. 2014-ZJ-779 ) and “Outstanding doctoral dissertation cultivation plan of action of East China Normal University (Grant No. YB2016023 ). We would like to acknowledge the work carried out by the researchers whose published data was used for meta-analysis in this study.

Publisher Copyright:
© 2017 Elsevier B.V.

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