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Featured researches published by Wen Xuefa.


Ecology and Evolution | 2013

Changes in the temperature sensitivity of SOM decomposition with grassland succession: implications for soil C sequestration

He Nianpeng; Wang Ruomeng; Gao Yang; Dai Jingzhong; Wen Xuefa; Yu Guirui

Understanding the temperature sensitivity (Q10) of soil organic matter (SOM) decomposition is important for predicting soil carbon (C) sequestration in terrestrial ecosystems under warming scenarios. Whether Q10 varies predictably with ecosystem succession and the ways in which the stoichiometry of input SOM influences Q10 remain largely unknown. We investigate these issues using a grassland succession series from free-grazing to 31-year grazing-exclusion grasslands in Inner Mongolia, and an incubation experiment performed at six temperatures (0, 5, 10, 15, 20, and 25°C) and with four substrates: control (CK), glucose (GLU), mixed grass leaf (GRA), and Medicago falcata leaf (MED). The results showed that basal soil respiration (20°C) and microbial biomass C (MBC) logarithmically decreased with grassland succession. Q10 decreased logarithmically from 1.43 in free-grazing grasslands to 1.22 in 31-year grazing-exclusion grasslands. Q10 increased significantly with the addition of substrates, and the Q10 levels increased with increase in N:C ratios of substrate. Moreover, accumulated C mineralization was controlled by the N:C ratio of newly input SOM and by incubation temperature. Changes in Q10 with grassland ecosystem succession are controlled by the stoichiometry of newly input SOM, MBC, and SOM quality, and the combined effects of which could partially explain the mechanisms underlying soil C sequestration in the long-term grazing-exclusion grasslands in Inner Mongolia, China. The findings highlight the effect of substrate stoichiometry on Q10 which requires further study.


Journal of Geographical Sciences | 2017

Carbon sequestration potential and its eco-service function in the karst area, China

Song Xianwei; Gao Yang; Wen Xuefa; Guo Dali; Yu Guirui; He Nianpeng; Zhang Jinzhong

The karst critical zone is an essential component of the carbon (C) pool, constituting the global C cycle. It is referred to as one of the “residual land sink” that remains largely indeterminate. Karst area (2.2×107 km2) comprises 15% of the world’s land area, and karst area comprises 3.44×106 km2 of area in China. Due to the complexity of karst structure and its considerable heterogeneity, C sequestration rate estimations contain large inaccuracies, especially in relation to the different methods used in calculations. Therefore, we reevaluated rock weathering-related C sink estimations in China (approximately 4.74 Tg C yr–1), which we calibrated from previous studies. Additionally, we stipulated that more comprehensive research on rock-soil-biology-atmosphere continuum C migration is essential to better understand C conversion mechanisms based on uncertainty analyses of C sink estimations. Moreover, we stressed that a collective confirmation of chemical methods and simulated models through a combined research effort could at least partially eliminate such uncertainty. Furthermore, integrated C cycling research need a long-term observation of the carbon flux of multi-interfaces. The enhanced capacity of ecosystem C and soil C pools remains an effective way of increasing C sink. Karst ecosystem health and security is crucial to human social development, accordingly, it is critical that we understand thresholds or potential C sink capacities in karst critical zones now and in the future.


Journal of Geographical Sciences | 2016

Construction and progress of Chinese terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation

Yu Guirui; Ren Wei; Chen Zhi; Zhang Leiming; Wang Qiufeng; Wen Xuefa; He Nianpeng; Zhang Li; Fang Huajun; Zhu Xianjin; Gao Yang; Sun Xiaomin

Eddy Covariance technique (EC) achieves the direct measurement on ecosystem carbon, nitrogen and water fluxes, and it provides scientific data for accurately assessing ecosystem functions in mitigating global climate change. This paper briefly reviewed the construction and development of Chinese terrestrial ecosystem flux observation and research network (ChinaFLUX), and systematically introduced the design principle and technology of the terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation system of ChinaFLUX. In addition, this paper summarized the main progress of ChinaFLUX in the ecosystem carbon, nitrogen and water exchange and environmental controlling mechanisms, the spatial pattern of carbon, nitrogen and water fluxes and biogeographical mechanisms, and the regional terrestrial ecosystem carbon budget assessment. Finally, the prospects and emphases of the terrestrial ecosystem carbon, nitrogen and water fluxes coordinated observation of ChinaFLUX are put forward to provide theoretical references for the development of flux observation and research in China.


Isotopes in Environmental and Health Studies | 2016

Spatial distribution and temporal variability of stable water isotopes in a large and shallow lake

Xiao Wei; Wen Xuefa; Wang Wei; Xiao Qitao; Xu Jingzheng; Cao Chang; Xu Jiaping; Hu Cheng; Shen Jing; Liu Shoudong; Lee Xuhui

ABSTRACT Stable isotopic compositions of lake water provide additional information on hydrological, meteorological and paleoclimate processes. In this study, lake water isotopic compositions were measured for more than three years in Lake Taihu, a large and shallow lake in southern China, to investigate the isotopic spatial and seasonal variations. The results indicated that (1) the whole-lake mean δ2H and δ18O values of the lake water varied seasonally from −48.4 ± 5.8 to −25.1 ± 3.2 ‰ and from −6.5 ± 0.9 to −3.5 ± 0.8 ‰, respectively, (2) the spatial pattern of the lake water isotopic compositions was controlled by the direction of water flow and not by local evaporation rate, and (3) using a one-site isotopic measurement to represent the whole-lake mean may result in unreasonable estimates of the isotopic composition of lake evaporation and the lake water residence time in poorly mixed lakes. The original data, documented here as an online supplement, provides a good reference for testing sensitivity of lake water budget to various isotopic sampling strategies. We propose that detailed spatial measurement of lake water isotopic compositions provides a good proxy for water movement and pollutant and alga transports, especially over big lakes.


Journal of Geographical Sciences | 2003

Net water vapour exchange over a mixed needle and broad-leaved forest in Changbai Mountain during autumn

Wen Xuefa; Yu Guirui; Sun Xiaomin; Li Qingkang; Ren Chuanyou; Han Shijie

Water vapour and CO2 fluxes were measured by the eddy-covariance technique above a mixed needle and broad-leaved forest with affiliated meteorological measurements in Changbai Mountain as part of China’s FLUX projects since late August in 2002. Net water vapour exchange and environmental control over the forest were examined from September 1 to October 31 in 2002. To quantify the seasonal dynamics, the transition period was separated into leafed, leaf falling and leafless stages according to the development of leaf area. The results showed that (a) seasonal variation of water vapour exchange was mainly controlled by net radiation (Rn) which could account for 78.5%, 63.4% and 56.6% for leafed, leaf falling and leafless stages, respectively, while other environmental factors’ effects varied evidently; (b) magnitude of water vapour flux decreased remarkably during autumn and daily mean of water vapour exchange was 24.2 mg m−2 s−1 (100%), 14.8 mg m−2 s−1 (61.2%) and 10.3 mg m−2 s−1 (42.6%) for leafed, leaf falling and leafless stage, respectively; and (c) the budget of water vapour exchange during autumn was estimated to be 87.1 kg H2O m−2, with a mean of 1427.2 g H2O d−1 varying markedly from 3104.0 to 227.5 g H2O m−2d−1.


Journal of Lake Sciences | 2017

Estimating evaporation over a large and shallow lake using stable isotopic method: A case study of Lake Taihu

Xiao Wei; Fu Jingru; Wang Wei; Wen Xuefa; Xu Jingzheng; Xiao Qitao; Hu Cheng; Liu Shoudong; Li Xuhui

Accurate estimation on lake evaporation was vital to hydrology, meteorology and limnology. Based on the data of water budgets, meteorological and stable isotopic observation over Lake Taihu from 2013 to 2015, the evaporation of Lake Taihu was esti⁃ mated using the isotopic mass balance model, the water mass balance method and the Priestley⁃Taylor model. The seasonal and in⁃ ter⁃annual variabilities of lake evaporation were analyzed, and the performance of the water balance method and the stable isotopic water balance model were evaluated with the Priestley⁃Taylor model result as reference. The results indicated: Evaporation of Lake Taihu was higher from May to September and less in winter. Annual evaporation in 2013, 2014 and 2015 was 1069, 894 and 935 mm, and the inter⁃annual variation was controlled by weather condition. Lake evaporation during the period from December 2013 to November 2014 calculated using the Priestley⁃Taylor model was 885 mm, and the result of the isotopic mass balance model was similar with a value of 893 mm. Whereas it was overestimated significantly by the water balance method with a value of 1247 mm.


Science China-earth Sciences | 2005

Energy balance closure at ChinaFLUX sites

Li Zhengquan; Yu Guirui; Wen Xuefa; Zhang Leiming; Ren Chuanyou; Fu Yuling


Science in China Series D: Earth Sciences | 2006

Study on the processing method of nighttime CO2 eddy covariance flux data in ChinaFLUX

Zhu Zhilin; Sun Xiaomin; Wen Xuefa; Zhou Yanlian; Tian Jing; Yuan Guofu


Science China-earth Sciences | 2005

Seasonal patterns and environmental control of ecosystem respiration in subtropical and temperate forests in China

Yu Guirui; Wen Xuefa; Li Qingkang; Zhang Leiming; Ren Chuanyou; Liu Yunfen; Guan Dexin


Science in China Series D: Earth Sciences | 2006

Seasonal drought effects on carbon sequestration of a mid-subtropical planted forest of southeastern China

Sun Xiaomin; Wen Xuefa; Yu Guirui; Liu Yunfen; Liu Qijing

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Sun Xiaomin

Chinese Academy of Sciences

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Yu Guirui

Chinese Academy of Sciences

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He Nianpeng

Chinese Academy of Sciences

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Liu Yunfen

Chinese Academy of Sciences

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Ren Chuanyou

Chinese Academy of Sciences

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Gao Yang

Chinese Academy of Sciences

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Xiao Wei

Nanjing University of Information Science and Technology

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Zhang Leiming

Chinese Academy of Sciences

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Liu Shoudong

Nanjing University of Information Science and Technology

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