Wang Huimin

Dr. Wang Huimin

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, A11 Datun Road, Chaoyang District, Beijing 100101, China

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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26 June 2020 in eLife
Verified
Journal Article
Open access
LKLiang Kou
Liang Kou
LJLei Jiang
Lei Jiang
SHStephan Hättenschwiler
Stephan Hättenschwiler
MZMiaomiao Zhang
Miaomiao Zhang
SNShuli Niu
Shuli Niu
Wang HuiminWang Huimin
Wang Huimin
Plant species diversity affects carbon and nutrient cycling during litter decomposition, yet the generality of the direction of this effect and its magnitude remains uncertain. With a meta-analysis including 65 field studies across the Earth’s major forest ecosystems, we show here that decomposition was faster when litter was composed of more than one species. These positive biodiversity effects were mostly driven by temperate forests but were more variable in other forests. Litter mixture effects emerged most strongly in early decomposition stages and were related to divergence in litter quality. Litter diversity also accelerated nitrogen, but not phosphorus release, potentially indicating a decoupling of nitrogen and phosphorus cycling and perhaps a shift in ecosystem nutrient limitation with changing biodiversity. Our findings demonstrate the importance of litter diversity effects for carbon and nutrient dynamics during decomposition, and show how these effects vary with litter traits, decomposer complexity and forest characteristics.

30 April 2014 in Plant and Soil
Verified
Journal Article
Closed access
PDF file
YLYingchun Liao
Yingchun Liao
MMM. Luke McCormack
M. Luke McCormack
HFHoubao Fan
Houbao Fan
Wang HuiminWang Huimin
Wang Huimin
JWJianping Wu
Jianping Wu
DGDali Guo
Dali Guo

1 September 2011 in Canadian Journal of Forest Research
Verified
Journal Article
Closed access
YWYidong Wang
Yidong Wang
QLQingkang Li
Qingkang Li
Wang HuiminWang Huimin
Wang Huimin
XWXuefa Wen
Xuefa Wen
FYFengting Yang
Fengting Yang
GYGuirui Yu
Guirui Yu
Despite the significance of interannual variation of soil respiration (RS) for understanding long-term soil carbon dynamics, factors that control the interannual variation of RS have not been sufficiently investigated. Interannual variation of RS was studied using a 6-year data set collected in a subtropical plantation dominated by an exotic species, slash pine (Pinus elliottii Engelm.), in China. The results showed that seasonal variation of RS was significantly affected by soil temperature and soil water content (SWC). RS in the dry season (July–October) was constrained by seasonal drought. Mean annual RS was estimated to be 736 ± 30 g C·m–2·year–1, with a range of 706–790 g C·m–2·year–1. Although this forest was characterized by a humid climate with high precipitation (1469 mm·year–1), the interannual variation of RS was attributed to the changes of annual mean SWC (R2 = 0.66, P = 0.03), which was affected by annual rainfall frequency (R2 = 0.80, P < 0.01) and not rainfall amount (P = 0.84). Consequently, precipitation pattern indirectly controlled the interannual variation of RS by affecting soil moisture in this subtropical forest. In the context of climate change, interannual variation of RS in subtropical ecosystems is expected to increase because of the predicted changes of precipitation regime.

23 June 2011 in Biogeosciences
Verified
Journal Article
Open access
PDF file
WZW.-J. Zhang
W.-J. Zhang
Wang HuiminWang Huimin
Wang Huimin
FYF.-T. Yang
F.-T. Yang
YYY.-H. Yi
Y.-H. Yi
XWX.-F. Wen
X.-F. Wen
JNJ.-C. Ning
J.-C. Ning
The impact of air temperature in early growing season on the carbon sequestration of a subtropical coniferous plantation was discussed through analyzing the eddy flux observations at Qianyanzhou (QYZ) site in southern China from 2003 to 2008. This site experienced two cold early growing seasons (with temperature anomalies of 2–5 °C) in 2005 and 2008, and a severe summer drought in 2003. Results indicated that the low air temperature from January to March was the major factor controlling the inter-annual variations in net carbon uptake at this site, rather than the previously thought summer drought. The accumulative air temperature from January to February showed high correlation (R2=0.970, p<0.001) with the annual net ecosystem production (NEP). This was due to the controls of early-month temperature on the plant phenology developing and the growing season length at this subtropical site. The cold spring greatly shortened the growing season length and therefore reduced the carbon uptake period. The eddy flux observations showed a carbon loss of 4.04 g C m−2 per growing-season day at this coniferous forest site. On the other hand, the summer drought also reduced the net carbon uptake strength because the photosynthesis was more sensitive to water deficit stress than the ecosystem respiration. However, the impact of summer drought occurred within a relatively shorter period and the carbon sequestration went back to the normal level once the drought was relieved.

22 January 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
MXMingjie Xu
Mingjie Xu
XWXuefa Wen
Xuefa Wen
Wang HuiminWang Huimin
Wang Huimin
WZWenjiang Zhang
Wenjiang Zhang
XDXiaoqin Dai
Xiaoqin Dai
GYGuirui Yu
Guirui Yu
Because evapotranspiration (ET) is the second largest component of the water cycle and a critical process in terrestrial ecosystems, understanding the inter-annual variability of ET is important in the context of global climate change. Eight years of continuous eddy covariance measurements (2003–2010) in a subtropical coniferous plantation were used to investigate the impacts of climatic factors and ecosystem responses on the inter-annual variability of ET. The mean and standard deviation of annual ET for 2003–2010 were 786.9 and 103.4 mm (with a coefficient of variation of 13.1%), respectively. The inter-annual variability of ET was largely created in three periods: March, May–June, and October, which are the transition periods between seasons. A set of look-up table approaches were used to separate the sources of inter-annual variability of ET. The annual ETs were calculated by assuming that (a) both the climate and ecosystem responses among years are variable (Vcli-eco), (b) the climate is variable but the ecosystem responses are constant (Vcli), and (c) the climate is constant but ecosystem responses are variable (Veco). The ETs that were calculated under the above assumptions suggested that the inter-annual variability of ET was dominated by ecosystem responses and that there was a negative interaction between the effects of climate and ecosystem responses. These results suggested that for long-term predictions of water and energy balance in global climate change projections, the ecosystem responses must be taken into account to better constrain the uncertainties associated with estimation.