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Soil Respiration and Its Responses to Soil Temperature and Water in Interlaced Zone of Water-wind Erosions in China
  
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KeyWord:land use pattern; soil water; precipitation; soil temperature; water-wind erosion interlaced zone
Author NameAffiliation
WANG Sheng State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling 712100 , China
University of China Academy of Sciences, Beijing 100049, China 
FAN Jun State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling 712100 , China
Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China 
WANG Jian-guo Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China 
YI Cai-qiong Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, China 
GAO Yu State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences, Yangling 712100 , China
University of China Academy of Sciences, Beijing 100049, China 
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Abstract:
      It is of critical importance to evaluate the regional carbon cycling and balance more accurately as global warming is the key issue of the climate changes. This research is aimed to reveal the soil respiration(SR) and its responses to soil temperature and water in a water-wind erosion interlaced zone in the Loess Plateau, China. Hourly SR in bareland, cropland, alfalfa land, cartagena korshinkii land and abandoned land were measured automatically from May to October, 2012, using Infra-Red Gas Analysis(IRGA) method. Soil temperature at depth of 5 cm and 15 cm(T5 and T15, respectively) and volumetric water content of 0~10 cm and 10~20 cm soils(VWC0-10 and VWC10-20, respectively) were also monitored. The SR diurnal dynamics was a single-peak curve, with the peak occurring between 13:00(UTC+8, similarly hereinafter) and 15:00, and the trough between 05:00 to 07:00. The SR measured at 9:00 and 19:00 was equal to the daily average value. Land use patterns had significantly impacts on SR(P<0.01), with order of alfalfa land> cartagena korshinkii land> abandoned land> cropland> bare land. The SR had significant positive correlation with T5 , T15 , VWC0~10 and VWC10~20 for five land use patterns, but the correlationship with soil water was weaker than with soil temperature. The correlation coefficients were greater for T5 than T15 and VWC0~10 than VWC10-20. The precipitation increased SR during May to late August, but inhibited SR during September to late October. Soil SR increased with increasing soil water when VWC0~10 was less than 0.2 cm3·cm-3, but decreased as soil water further increased when VWC10~20 was greater than 0.2 cm3·cm-3. The E-P-Q(Exponential-Piecewise-Coefficient) model could rationally explain relationships between SR and soil temperature and/or soil water.