Jianping Tao

Dr. Jianping Tao

School of Life Sciences, Southwest University, Chongqing, China

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 July 2019 in Functional Ecology
Verified
Journal Article
Open access
PDF file
JTJianping Tao
Jianping Tao
JZJ Zuo
J Zuo
ZHZe He
Ze He
YWYuping Wang
Yuping Wang
JLJinchun Liu
Jinchun Liu
JCJohannes H. C. Cornelissen
Johannes H. C. Cornelissen
Soil pH varies by several units among ecosystems. While soil pH is known to be a key driver of plant species composition, we still have a poor understanding of how it affects carbon cycling processes. For instance, soil pH, or its associated chemistry in terms of base cations and organic acids, may affect decomposition rates of dead matter directly, by controlling decomposer composition and activity and, indirectly, by controlling the traits of the plant species and thereby the afterlife effects of those traits on litter decomposition. Leaf and litter pH may play a role in this control. Based on the very limited empirical data available, we hypothesized that variation in species traits including leaf (litter) pH, within and between ecosystems contrasting in soil pH, would have stronger effects on leaf litter decomposition rates than variation in soil chemistry would. We tested this hypothesis by carrying out a ‘common garden’ litterbed experiment in subtropical SW China, in which leaf litters of the 30 predominant plant species from mid‐successional forest on acidic sandstone (soil pH around 4.0) and calcareous soil (pH around 7.5), respectively, were incubated and their decomposition rates measured over two harvests in 14 months, both in soil plus litter matrix from their ‘home’ forest and in those from the ‘away’ forest. We found that leaf (litter) trait variation among species and plant functional types, headed by species' dry matter content but also including tissue pH, was the strongest driver of variation in leaf litter decomposition rates. Surprisingly, however, while these effects of interspecific trait variation were very strong among species from the same site, there was no overall difference in litter decomposability between the species from the acidic versus calcareous site. Equally surprising was that this strong difference in pH of soil substrate plus litter matrix from an acidic sandstone site versus a calcareous karst site did not directly affect leaf litter decomposition rates across a given species set. This first attempt to disentangle the multiple potential direct and indirect ways in which soil and leaf (litter) acidity might be related to litter decomposition rates has important implications for our understanding of soil–plant feedbacks. Based on our forest‐based study, we predict that soil–plant feedbacks via acidity are unlikely to be strong in ecosystems with wide‐ranging species in terms of their leaf functional traits, including leaf pH. A freePlain Language Summarycan be found within the Supporting Information of this article.

24 March 2018 in Journal of Ecology
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Journal Article
Closed access
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GDGbadamassi G.O. Dossa
Gbadamassi G.O. Dossa
DSDouglas Schaefer
Douglas Schaefer
JZJiao‐Lin Zhang
Jiao‐Lin Zhang
JTJianping Tao
Jianping Tao
KCKun‐Fang Cao
Kun‐Fang Cao
RHRhett D. Harrison
Rhett D. Harrison

13 December 2008 in Ecological Research
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Journal Article
Closed access
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YWYong Jian Wang
Yong Jian Wang
JTJianping Tao
Jianping Tao
ZZZhang Cheng Zhong
Zhang Cheng Zhong

14 November 2023 in Science of The Total Environment
Verified
Journal Article
Closed access
WLWeixue Luo
Weixue Luo
QZQingyu Zhang
Qingyu Zhang
PWPeng Wang
Peng Wang
JLJie Luo
Jie Luo
CSChunyan She
Chunyan She
JTJianping Tao
Jianping Tao

8 September 2017 in Environmental Monitoring and Assessment
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Journal Article
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QXQiang Xiao
Qiang Xiao
JTJianping Tao
Jianping Tao
YXYang Xiao
Yang Xiao
FQFeng Qian
Feng Qian

2 April 2016 in Plant and Soil
Verified
Journal Article
Closed access
PDF file
WWWei Wang
Wei Wang
XWXiaogang Wu
Xiaogang Wu
KHKai Hu
Kai Hu
JLJinchun Liu
Jinchun Liu
JTJianping Tao
Jianping Tao