Chin J Plan Ecolo ›› 2018, Vol. 42 ›› Issue (3): 372-381.doi: 10.17521/cjpe.2016.0049

• Research Articles • Previous Articles     Next Articles

Effects of fencing on ecosystem carbon exchange at meadow steppe in the northern slope of the Tianshan Mountains

HU Yi1,2,ZHU Xin-Ping1,2,JIA Hong-Tao1,2,*(),HAN Dong-Liang1,2,HU Bao-An1,2,LI Dian-Peng1   

  1. 1 College of Grassland and Environmental Sciences, Xinjiang Agricultural University, ürümqi 830052, China;
    2 Xinjiang Key Laboratory of Soil and Plant Ecological Processes, ürümqi 830052, China;
  • Online:2017-06-16 Published:2018-03-20
  • Contact: Hong-Tao JIA ORCID:0000-0002-8527-0581 E-mail:hongtaojia@126.com
  • Supported by:
    Supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA05050405);the National Natural Science Foundation of China(31560171);Innovation Plan of Postgraduate Education in Xinjiang Uygur Autonomous region of China.(XJGRI2014084)

Abstract:

Aims The carbon exchange between ecosystems and the atmosphere and its response to environmental factors is the focus of current research. The aim of this study was to examine the effects of fencing on ecosystem carbon exchange at meadow steppe in the northern slope of Tianshan Mountains.

Methods The static box method with a LI-840 CO2/H2O infrared analyzer was used to evaluate daily and seasonal changes of ecosystem carbon exchange and their relationship with environmental factors in the inside fence and outside fence after 9 years fencing.

Important findings We found the ecosystem carbon exchange inside the fence was significantly (p < 0.05) higher than that in outside the fence. The ecosystem carbon exchange had obvious daily and seasonal variation both in inside and outside the fence, which showed a unimodal curve during the plant growing season. The minimum net ecosystem CO2 exchange (NEE) in the inside and outside of the fences were -7.62 and -6.63 μmol·m-2·s-1, respectively; the maximum ecosystem respiration (ER) were 8.55 and 7.04 μmol·m-2·s-1, respectively; and the maximum gross ecosystem productivity (GEP) were -14.66 and -13.89 μmol·m-2·s-1, respectively. Due to the protection of fence, the vegetation in the fence was flourished with higher photosynthesis, and thus resulted in lower NEE. Meanwhile, organic carbon input enhanced ecosystem respiration. Besides, the ecosystem carbon exchange significantly correlated with the air temperature and soil temperature of 0 to 10 cm depth, and the correlation with the air temperature was higher than soil temperature of 0 to 10 cm depth. Also, the correlation in the inside of the fence was higher than that in the outside of the fence. Ecosystem carbon exchange had correlation with soil water content, but the correlation was slightly lower than that with soil temperature.

Key words: fencing, meadow steppe, ecosystem carbon exchange

Fig. 1

The daily dynamic (A) and daily average value (B) of the net ecosystem CO2 exchange (NEE) in inside and outside the fence (mean ± SE). The different lowercase letters represent significant differences at the 0.05 level."

Fig. 2

The daily dynamic (A) and daily average value (B) of the ecosystem respiration (ER) in inside and outside the fence (mean ± SE). The same lowercase letters represent no significant differences at the 0.05 level."

Fig. 3

The daily dynamics (A) and daily average value (B) of the gross ecosystem productivity (GEP) in inside and outside the fence, respectively (mean ± SE). The same lowercase letters represent no significant differences at the 0.05 level."

Fig. 4

The seasonal dynamic (A) and average value (B) of the the net ecosystem CO2 exchange (NEE) in inside and outside the fence, respectively (mean ± SE). The different lowercase letters represent significant differences at the 0.05 level."

Fig. 5

The seasonal dynamic (A) and month average value (B) of the ecosystem respiration (ER) in inside and outside the fence, respectively (mean ± SE). The same lowercase letters represent no significant differences at the 0.05 level."

Fig. 6

The seasonal dynamic (A) and average value (B) of the GEP in inside and outside the fence, respectively (mean ± SE). The different lowercase letters represent significant differences at the 0.05 level."

Table 1

The inside and outside the fence correlation coefficients between the net ecosystem CO2 exchange (NEE), ecosystem respiration (ER), gross ecosystem the productivity (GEP) and atmospheric temperature and 0-10 cm soil temperature in meadow steppe"

月份
Month
气温 Air temperature 土壤温度 Soil temperature
围栏内 Inside the fence 围栏外 Outside the fence 围栏内 Inside the fence 围栏外 Outside the fence
NEE 4 -0.592** -0.487* 0.501* 0.602**
5 -0.572** -0.547** 0.529** 0.542**
6 -0.873** -0.841** 0.349 0.109
7 -0.685** -0.783** 0.136 -0.227
8 -0.867** -0.801** 0.252 -0.089
9 -0.850** -0.829** -0.347 -0.465*
10 -0.458* -0.471* 0.384* 0.440*
ER 4 0.218 0.283 0.473* 0.517**
5 0.620** 0.767** 0.353* -0.021
6 0.483* 0.298 0.354* 0.423*
7 0.118 0.268 0.516** 0.376*
8 0.392* 0.548** 0.752** 0.567**
9 0.064 0.049 0.259 0.333
10 -0.302 -0.308 0.279 0.508*
GEP 4 -0.632** -0.572** 0.501* 0.624**
5 -0.677** -0.517** 0.429* 0.475*
6 -0.903** -0.839** 0.204 -0.055
7 -0.735** -0.805** 0.147 -0.259
8 -0.798** -0.828** 0.116 -0.183
9 -0.851** -0.769** -0.412* -0.465*
10 -0.598** -0.436* 0.497* 0.465*

Table 2

The regression analysis of the NEE (net ecosystem CO2 exchange), ER (ecosystem respiration), GEP (gross ecosystem the productivity) and temperature and soil water content in inside and outside the fence"

因变量
Dependent variable
自变量
Independent variable
围栏内 Inside the fence 围栏外 Outside the fence
回归方程 Regression equation R2 p 回归方程 Regression equation R2 p
NEE 气温 Air temperature y = -0.299x + 4.722 0.863 0.002 y = -0.235x + 4.050 0.897 0.001
土壤温度 Soil temperature y = 0.118x2 - 4.823x + 1.459 0.765 0.009 y = -0.178x + 2.738 0.907 0.001
土壤含水量 Soil water content y = 0.135x - 2.654 0.603 0.040 y = -0.002x2 + 0.198x - 1.459 0.493 0.078
ER 气温 Air temperature y = 0.069e0.197x 0.720 0.012 y = 0.886e0.066x 0.810 0.005
土壤温度 Soil temperature y = 0.792e0.026x 0.690 0.017 y = 0.446e0.580x 0.706 0.015
土壤含水量 Soil water content y = -0.015x2 + 4.198x - 5.459 0.633 0.045 y = 10.348e-0.067x 0.460 0.094
GEP 气温 Air temperature y = -0.767x + 8.517 0.899 0.001 y = -0.650x + 7.244 0.789 0.008
土壤温度 Soil temperature y = -0.558x + 4.313 0.929 0.000 y = -0.515x + 3.895 0.871 0.002
土壤含水量 Soil water content y = 0.294x - 9.289 0.453 0.097 y = 0.253x - 7.831 0.353 0.160
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