Fawei Zhang
Chinese Academy of Sciences
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Featured researches published by Fawei Zhang.
Ecology | 2014
Shiping Wang; Fandong Meng; Jichuang Duan; Yunqiang Wang; Xiaoyong Cui; Shilong Piao; Hongtao Niu; G.P. Xu; Caiyun Luo; Zhenhua Zhang; Xiaoxue Zhu; Miaogen Shen; Y. N. Li; Mingyuan Du; Yanhong Tang; Xinquan Zhao; P. Ciais; Bruce A. Kimball; Josep Peñuelas; Ivan A. Janssens; Shujuan Cui; Lilin Zhao; Fawei Zhang
Understanding how flowering phenology responds to warming and cooling (i.e., symmetric or asymmetric response) is needed to predict the response of flowering phenology to future climate change that will happen with the occurrence of warm and cold years superimposed upon a long-term trend. A three-year reciprocal translocation experiment was performed along an elevation gradient from 3200 m to 3800 m in the Tibetan Plateau for six alpine plants. Transplanting to lower elevation (warming) advanced the first flowering date (FFD) and transplanting to higher elevation (cooling) had the opposite effect. The FFD of early spring flowering plants (ESF) was four times less sensitive to warming than to cooling (by −2.1 d/°C and 8.4 d/°C, respectively), while midsummer flowering plants (MSF) were about twice as sensitive to warming than to cooling (−8.0 d/°C and 4.9 d/°C, respectively). Compared with pooled warming and cooling data, warming alone significantly underpredicted 3.1 d/°C for ESF and overestimated 1.7 d/°...
PLOS ONE | 2016
Shuli Liu; Fawei Zhang; Yangong Du; Xiaowei Guo; Li Lin; Yikang Li; Qian Li; Guangmin Cao
The alpine grassland ecosystem can sequester a large quantity of carbon, yet its significance remains controversial owing to large uncertainties in the relative contributions of climate factors and grazing intensity. In this study we surveyed 115 sites to measure ecosystem carbon storage (both biomass and soil) in alpine grassland over the Qinghai Plateau during the peak growing season in 2011 and 2012. Our results revealed three key findings. (1) Total biomass carbon density ranged from 0.04 for alpine steppe to 2.80 kg C m-2 for alpine meadow. Median soil organic carbon (SOC) density was estimated to be 16.43 kg C m-2 in alpine grassland. Total ecosystem carbon density varied across sites and grassland types, from 1.95 to 28.56 kg C m-2. (2) Based on the median estimate, the total carbon storage of alpine grassland on the Qinghai Plateau was 5.14 Pg, of which 94% (4.85 Pg) was soil organic carbon. (3) Overall, we found that ecosystem carbon density was affected by both climate and grazing, but to different extents. Temperature and precipitation interaction significantly affected AGB carbon density in winter pasture, BGB carbon density in alpine meadow, and SOC density in alpine steppe. On the other hand, grazing intensity affected AGB carbon density in summer pasture, SOC density in alpine meadow and ecosystem carbon density in alpine grassland. Our results indicate that grazing intensity was the primary contributing factor controlling carbon storage at the sites tested and should be the primary consideration when accurately estimating the carbon storage in alpine grassland.
Ground Water | 2018
Licong Dai; Xiaowei Guo; Yangong Du; Fawei Zhang; Xun Ke; Yingfang Cao; Yikang Li; Qian Li; Li Lin; Guangmin Cao
The Qinghai-Tibet plateau has the worlds largest area of seasonally frozen ground. Here, shallow groundwater displays behavior that is distinct from that elsewhere in the world. In the present study, we explore the seasonal and interannual variation of the shallow groundwater levels from 2012 to 2016, and attempt to quantitatively evaluate the relative influences of individual driving factors on the shallow groundwater levels based on boosted regression trees. The results show that: (1) on a seasonal scale, the groundwater levels were characterized by a double peak and double valley relationship, while on an interannual scale the groundwater levels showed a slightly downwards trend from 2012 to 2016; and (2) during the frozen period, the seasonal variation of groundwater levels was determined by mean air temperature through its effect on the soil thaw-freeze process, accounting for 53.15% of total variation. Meanwhile, ET0 and rainfall exerted little impact on the seasonal variation of groundwater levels, which might be attributed to the aquitard of frozen soil that impedes the exchange between surface water and groundwater. Moreover, there was a lag between groundwater levels and soil freezing-thawing. During the non-frozen period, the mean air temperature was again the most important factor impacting the variation of groundwater levels, through its effect on ET0 , and accounted for 40.75% of total variation, while rainfall had little effect on groundwater levels when rainfall intensity was less than 12 mm/day. These results will benefit predictions of future trends in groundwater levels within the context of global warming.
Ecohydrology | 2018
Fawei Zhang; Hongqin Li; Wenying Wang; Yikang Li; Li Lin; Xiaowei Guo; Yangong Du; Qian Li; Yongsheng Yang; Guangmin Cao; Yingnian Li
Accurately quantifying evapotranspiration (ET) is crucial to fully understanding regional water resource management and potential feedbacks to climate change in alpine grasslands. The quantitative relationships between ET and environmental controls were investigated by a continuous eddy covariance dataset from June 2014 to December 2016 over an alpine Kobresia meadow on the northeastern Qinghai-Tibetan Plateau. The results showed that daily ET averaged 1.7 ± 1.5 mm·day-1 (Mean ± 1 S.D.), with values of 2.9 ± 1.3, 1.6 ± 1.0 and 0.7 ± 0.6 mm·day-1 during the growing season, seasonal transition period and non-growing season, respectively. Cumulative growing season ET was 63% of annual ET with little annual variability (349.9 ± 12.1 mm). Paired-samples T-test analysis indicated that monthly ET was larger than maximum potential ET derived from the FAO-56 reference crop ET by 17% (P < 0.001, N = 12) in the growing season, likely because of high aerodynamic conductance, but was less than the minimum equilibrium ET by 19% (P < 0.001, N = 14) during the non-growing season owing to limited surface moisture availability from the frozen soil. The structural equation models revealed that daily ET was mostly dominated by net radiation (the standardized coefficient of the total effect was 0.78). Soil surface moisture and leaf area index played secondary roles in daily ET variability during the non-growing season and growing season, respectively. At an annual scale, the bulk surface conductance (8.25 – 10.65 mm·s-1), decoupling coefficient (0.43 – 0.48, 0.61 in the growing season), and the ratio of ET to equilibrium ET (1.08 – 1.33) were consistent with the strongly energy-limited conditions in the alpine meadow. This study indicated that initial vegetation rehabilitation on the severely degraded meadow would be at the risk of rapid water consumption in humid alpine regions.
Ecological Research | 2013
Yibo Wu; Yongcui Deng; Jing Zhang; Jing Wu; Yanhong Tang; Guangmin Cao; Fawei Zhang; Xiaoyong Cui
Ecology | 2016
Lili Jiang; Senhao Wang; Fandong Meng; Jichuang Duan; Hongtao Niu; G.P. Xu; Xiaoxue Zhu; Zhenhua Zhang; Caiyun Luo; Shujuan Cui; Yaoming Li; Xine Li; Qi Wang; Yang Zhou; Xiaoying Bao; Y. N. Li; Tsechoe Dorji; Shilong Piao; Philippe Ciais; Josep Peñuelas; Mingyuan Du; Xinquan Zhao; Lilin Zhao; Fawei Zhang; Guoji Wang
Ecological Research | 2015
Jing Li; Fawei Zhang; Li Lin; Hongqin Li; Yangong Du; Yikang Li; Guangmin Cao
Agricultural and Forest Meteorology | 2016
Hongqin Li; Fawei Zhang; Yingnian Li; Junbang Wang; Leiming Zhang; Liang Zhao; Guangmin Cao; Xinquan Zhao; Mingyuan Du
Polish Journal of Environmental Studies | 2015
Xiaowei Guo; Yangong Du; Daorui Han; Xingliang Xu; Fawei Zhang; Li Lin; Yikang Li; Shuli Liu; Jingzheng Ouyang; Guangmin Cao
Ecological Research | 2017
Shuli Liu; Yanhong Tang; Fawei Zhang; Yangong Du; Li Lin; Yikang Li; Xiaowei Guo; Qian Li; Guangmin Cao