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

doi:10.17521/cjpe.2016.0049

Abstract

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.

http://jtp.cnki.net/bilingual/detail/html/ZWSB201803012

Key words: fencing, meadow steppe, ecosystem carbon exchange

HU Yi, ZHU Xin-Ping, JIA Hong-Tao, HAN Dong-Liang, HU Bao-An, LI Dian-Peng. Effects of fencing on ecosystem carbon exchange at meadow steppe in the northern slope of the Tianshan Mountains[J]. Chin J Plant Ecol, 2018, 42(3): 372-381.

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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2016.0049

https://www.plant-ecology.com/EN/Y2018/V42/I3/372

Figures/Tables 8

References 39

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	月份 Month	气温 Air temperature		土壤温度 Soil temperature
	月份 Month	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^*

	月份 Month	气温 Air temperature		土壤温度 Soil temperature
	月份 Month	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^*

因变量 Dependent variable	自变量 Independent variable	围栏内 Inside the fence			围栏外 Outside the fence
因变量 Dependent variable	自变量 Independent variable	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 = 0.069e^0.197^x	0.720	0.012	y = 0.886e^0.066^x	0.810	0.005
	土壤温度 Soil temperature	y = 0.792e^0.026^x	0.690	0.017	y = 0.446e^0.580^x	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^-0.067^x	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

因变量 Dependent variable	自变量 Independent variable	围栏内 Inside the fence			围栏外 Outside the fence
因变量 Dependent variable	自变量 Independent variable	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 = 0.069e^0.197^x	0.720	0.012	y = 0.886e^0.066^x	0.810	0.005
	土壤温度 Soil temperature	y = 0.792e^0.026^x	0.690	0.017	y = 0.446e^0.580^x	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^-0.067^x	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