@article{MAKHILLJAVA201312194293,
    title = {Biophysical Regulation of Net Ecosystem Carbon Dioxide Exchange over an Artificial Pasture in the Three-River Source Region of the Qinghai-Tibetan Plateau},
    journal = {Journal of Animal and Veterinary Advances},
    volume = {12},
    number = {19},
    pages = {1512-1523},
    year = {2013},
    issn = {1680-5593},
    doi = {javaa.2013.1512.1523},
    url = {https://makhillpublications.co/view-article.php?issn=1680-5593&doi=javaa.2013.1512.1523},
    author = {Song,Bin,Jie,Liang,Shixiao,Yanhong and},
    keywords = {Net ecosystem CO2 exchange,ecosystem respiration,artificial pasture,Elymus nutans,eddy},
    abstract = {Measurements of Net Ecosystem CO<SUB>2</SUB> Exchange (NEE) were made, using 
  eddy covariance to investigate the biophysical regulation of an <I>Elymus nutans</I> 
  artificial pasture in the Three-River Source Region on the Qinghai-Tibetan Plateau 
  during 2008. The hourly maximum rates of NEE was -7.89 &#956;mol CO<SUB>2</SUB>/m<SUP>2</SUP>/sec 
  (negative values representing net carbon uptake). The maximum daily NEE for 
  the pasture was -2.91 g/cm<SUP>2</SUP>/day. The annual NEE sums in pasture was 
  140.01 g cm<SUP>2</SUP>/year. For the entire growing period, the light response 
  curves of daytime NEE showed a medium apparent quantum yield (&#945; = -0.0275 
  &#956;mol &#956;mol<SUP>-1</SUP>). However, the &#945; values varied with varied 
  with canopy development, air temperature (T<SUB>a</SUB>) and Soil Water Content 
  (SWC) and Vapor Pressure Deficit (VPD). Piecewise regression results suggested 
  that the optimal T<SUB>a</SUB> and VPD for hourly daytime NEE were 14.1&deg;C 
  and 0.65 kPa, respectively. During the entire growing period, the daytime NEE 
  decreased as the SWC increased. The apparent temperature sensitivities of ecosystem 
  respiration (Q<SUB>10</SUB>) was 3.0 for the entire growing season and it was 
  significantly controlled by soil moisture. During the growing season, the leaf 
  area index explained approximately 32.5% of the variation in daily NEE.}
    }