Literature DB >> 22024234

The fluxes of CO2 from grazed and fenced temperate steppe during two drought years on the Inner Mongolia Plateau, China.

Y F Wang1, X Y Cui, Y B Hao, X R Mei, G R Yu, X Z Huang, X M Kang, X Q Zhou.   

Abstract

The CO(2) flux was measured by the eddy covariance method on a temperate Leymus chinensis steppe over a period of 17 months spanning two consecutive growing seasons. The amount of precipitation was nearly normal, but it was low in the early and high in the late growing period in 2006. In the 2007 growing season, the amount of precipitation was about 45% less than the multi-year average and more evenly distributed. Comparisons were made between a moderately grazed site and a 28-year-old fenced site. The maximum instantaneous CO(2) release and uptake rates were 0.12 (May) and -0.11mg CO(2)m(-2)s(-1) (July) at the fenced site, and 0.11 and -0.16mg CO(2)m(-2)s(-1) (both in July) at the grazed site. In both growing seasons, the grazed site always had a higher daily uptake rate or lower release rate than the fenced site. The grazed site was a CO(2) sink during the growing season of 2007 and a CO(2) source in the growing season of 2006, whereas the fenced site was a CO(2) source in both seasons. Lower precipitation decreased CO(2) loss during the growing season more in the grazed site than in the fenced site, mainly because of depression of total ecosystem respiration (R(e)) in the former and stimulation in the latter. During the dormant season (from October to April), the fenced and grazed sites released 60.0 and 32.4g of C per m(2), respectively. Path analysis showed that temperature had the greatest effect on daily variation of ecosystem CO(2) exchange during the growing seasons at the two study sites. The results suggest that decrease of precipitation and/or increase of temperature will likely promote C loss from L. chinensis steppes, whether fenced or grazed, and that a grazed site is more sensitive. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22024234     DOI: 10.1016/j.scitotenv.2011.09.067

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

1.  Effects of grazing on ecosystem CO₂ exchange in a meadow grassland on the Tibetan Plateau during the growing season.

Authors:  Ji Chen; Weiyu Shi; Junji Cao
Journal:  Environ Manage       Date:  2014-10-30       Impact factor: 3.266

2.  Increasing grassland degradation stimulates the non-growing season CO2 emissions from an alpine meadow on the Qinghai-Tibetan Plateau.

Authors:  Lei Ma; Zhisheng Yao; Xunhua Zheng; Han Zhang; Kai Wang; Bo Zhu; Rui Wang; Wei Zhang; Chunyan Liu
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-11       Impact factor: 4.223

3.  Climate extremes and the carbon cycle.

Authors:  Markus Reichstein; Michael Bahn; Philippe Ciais; Dorothea Frank; Miguel D Mahecha; Sonia I Seneviratne; Jakob Zscheischler; Christian Beer; Nina Buchmann; David C Frank; Dario Papale; Anja Rammig; Pete Smith; Kirsten Thonicke; Marijn van der Velde; Sara Vicca; Ariane Walz; Martin Wattenbach
Journal:  Nature       Date:  2013-08-15       Impact factor: 49.962

4.  Diurnal and Seasonal Variations in the Net Ecosystem CO2 Exchange of a Pasture in the Three-River Source Region of the Qinghai-Tibetan Plateau.

Authors:  Bin Wang; Haiyan Jin; Qi Li; Dongdong Chen; Liang Zhao; Yanhong Tang; Tomomichi Kato; Song Gu
Journal:  PLoS One       Date:  2017-01-27       Impact factor: 3.240

5.  Sensitivity of temperate desert steppe carbon exchange to seasonal droughts and precipitation variations in Inner Mongolia, China.

Authors:  Fulin Yang; Guangsheng Zhou
Journal:  PLoS One       Date:  2013-02-05       Impact factor: 3.240

6.  Interannual and seasonal variations in carbon exchanges over an alpine meadow in the northeastern edge of the Qinghai-Tibet Plateau, China.

Authors:  Jinkui Wu; Hao Wu; Yongjian Ding; Jia Qin; Hongyuan Li; Shiwei Liu; Di Zeng
Journal:  PLoS One       Date:  2020-02-11       Impact factor: 3.240

  6 in total

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