Record Details

<span style="font-size:15.0pt;font-family: "Times New Roman";mso-fareast-font-family:SimSun;mso-bidi-font-family:Mangal; mso-ansi-language:EN-US;mso-fareast-language:EN-US;mso-bidi-language:HI" lang="EN-US">Biophysical regulation of the net ecosystem CO<sub>2</sub> exchange over an <i style="mso-bidi-font-style:normal"><span style="mso-bidi-font-weight:bold">Elymus nutans</span></i> artificial pasture in the Three-River Source Region of the Qinghai-Tibetan Plateau</span>

NOPR - NISCAIR Online Periodicals Repository

View Archive Info
 
 
Field Value
 
Title Biophysical regulation of the net ecosystem CO2 exchange over an Elymus nutans artificial pasture in the Three-River Source Region of the Qinghai-Tibetan Plateau
 
Creator Wang, Bin
Li, Jie
Song, Gu
 
Subject Net ecosystem CO2 exchange
Ecosystem respiration
Artificial pasture
Eddy covariance
The Three-River Source Region
 
Description 1820-1831
We examined the net ecosystem CO2 exchange (NEE) in an Elymus nutans artificial
pasture in the Three-River Source Region of the Qinghai-Tibetan Plateau from January
1, 2008 to December 31, 2008 using the eddy covariance method. The hourly minimum NEE rate was −7.89 μmol CO2 m−2 s−1. The hourly maximum ecosystem respiration (Re)
in the pasture was 5.03 µmol CO2 m−2 s−1. The annual sum of the NEE in the pasture
was 140.01 g C m−2 year−1. For the entire growing
period, the apparent quantum yield (α)
was −0.0275 µmol µmol−1, and the α values for the pasture’s
light response curve varied with
the canopy development, the air
temperature (Ta), the soil water content (SWC), and the vapor pressure deficit (VPD). Piecewise regression results indicated that the optimum Ta and VPD for the daytime NEE were 14.1°C
and 0.65 kPa, respectively. During the entire
growing period, the daytime
NEE decreased as the SWC increased, and
the apparent temperature sensitivity of respiration (Q10) in the
pasture ecosystem was 3.0 and was obviously controlled by the SWC conditions. The
results of linear regression analysis suggested that approximately 32.5%
of the variation in the daily NEE can
be explained by variation in the leaf area index.
 
Date 2016-06-28T09:24:00Z
2016-06-28T09:24:00Z
2014-10
 
Type Article
 
Identifier 0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/34534
 
Language en_US
 
Rights CC Attribution-Noncommercial-No Derivative Works 2.5 India
 
Publisher NISCAIR-CSIR, India
 
Source IJMS Vol.43(10) [October 2014]