河南省乡镇尺度冬小麦灌溉碳排放强度空间格局及影响因素分析

doi:10.3864/j.issn.0578-1752.2024.05.010

Abstract

Abstract:

【Objective】The aim of this study was to explore the spatial distribution pattern and driving mechanism of agricultural carbon emissions of different townships and irrigation modes, and to reveal the regional differences of agricultural water and energy resources consumption combination characteristics, so as to provide necessary references for agricultural irrigation mode optimization, water and energy resources conservation and low-carbon agricultural sustainable development. 【Method】The irrigation carbon emission intensity and its spatial distribution of winter wheat at township level were calculated by using multi-source data, including remote sensing data, statistical data, meteorological data, and agricultural irrigation survey data. In addition, the geographical detector was employed to discuss the influencing factors of carbon emission intensity under different irrigation modes (Irrigation mode with rain-fed agriculture as the primary method, PI mode; Irrigation mode with surface water irrigation as the primary method, SWI mode; Irrigation mode with diversion and irrigation projects as the primary method, WDI mode; Irrigation mode with groundwater irrigation as the primary method, GI mode). 【Result】(1) In 2018, the average carbon emission intensity of winter wheat irrigation at the township level in Henan Province was 15.05 kg∙t^-1, which showed a west-to-east decreasing trend in the longitudinal direction and a north-high-south-low spatial distribution pattern in the latitudinal direction. The mean value of mean carbon emission intensity at township level was 15.05 kg∙t^-1. The high value townships was concentrated in the western mountainous region, while the lower gathered in the southeast region. (2) By comparing four irrigation modes, the irrigation mode with highest carbon emission intensity was the irrigation mode with rain-fed as the primary method (PI mode, 22.22 kg∙t^-1), while the irrigation mode with groundwater irrigation as the primary method was the least ideal (SWI mode, 11.05 kg∙t^-1). (3) The average elevation and effective precipitation explained 49% and 39% of the spatial differentiation pattern of carbon emission intensity, respectively, which were key factors influencing the carbon emission intensity of winter wheat irrigation. The effect of the same driving factor under different irrigation modes was variable. The influence of energy consumption on the spatial differentiation pattern of winter wheat irrigation carbon emission intensity under the irrigation mode dominated by water diversion irrigation projects (WDI mode) was the strongest, and the driving effect of land input intensity under the GI mode was the most significant. In addition, the interaction of different drivers had double-factor enhancement effects and non-linear enhancement effects. 【Conclusion】There was spatial heterogeneity and differences in irrigation mode in the carbon emission intensity of winter wheat irrigation at the township level in Henan Province. The PI mode was the mode with the highest winter wheat irrigation carbon emission intensity and the WDI mode was the mode with the highest carbon emissions. The average elevation and effective precipitation were the main reasons for the formation of spatially divergent patterns of irrigation carbon emission intensity of winter wheat at township scale in Henan Province, while anthropogenic factors were the dominant forces under different irrigation patterns.

Key words: carbon emissions, township level, irrigation mode, winter wheat, carbon emission intensity, driving factors, Henan Province

ZHU RuiMing, ZHAO RongQin, JIAO ShiXing, LI XiaoJian, XIAO LianGang, XIE ZhiXiang, YANG QingLin, WANG Shuai, ZHANG HuiFang. Spatial Distribution and Driving Factors of Winter Wheat Irrigation Carbon Emission Intensity at Township Level in Henan Province[J].Scientia Agricultura Sinica, 2024, 57(5): 950-964.

Figures/Tables 8

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Table 1

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灌溉模式 Irrigation mode	驱动因素 Driving factors	AE	PA	EP	IWC	Y	EC	RL	LII
河南省 Henan Province	AE	0.49
	PA	0.56	0.24
	EP	0.74	0.58	0.39
	IWC	0.53	0.29	0.61	0.18
	Y	0.59	0.48	0.75	0.41	0.37
	EC	0.55	0.51	0.66	0.45	0.56	0.38
	RL	0.55	0.35	0.54	0.28	0.48	0.46	0.07
	LII	0.56	0.38	0.68	0.38	0.51	0.51	0.44	0.33
PI	AE	0.59
	PA	0.73	0.23
	EP	0.79	0.58	0.22
	IWC	0.70	0.30	0.47	0.23
	Y	0.97	0.96	0.97	0.96	0.95
	EC	0.79	0.57	0.60	0.49	0.97	0.19
	RL	0.78	0.53	0.68	0.46	0.97	0.53	0.21
	LII	0.75	0.47	0.67	0.47	0.96	0.62	0.58	0.41
WDI	AE	0.46
	PA	0.53	0.22
	EP	0.74	0.53	0.26
	IWC	0.52	0.31	0.59	0.26
	Y	0.83	0.84	0.99	0.83	0.82
	EC	0.48	0.52	0.72	0.51	0.83	0.41
	RL	0.49	0.38	0.36	0.42	0.83	0.46	0.06
	LII	0.64	0.50	0.75	0.48	0.87	0.63	0.57	0.45
SWI	AE	0.08
	PA	0.56	0.49
	EP	0.77	0.81	0.63
	IWC	0.58	0.56	0.80	0.52
	Y	0.99	0.99	0.99	0.99	0.99
	EC	0.21	0.63	0.79	0.63	0.99	0.18
	RL	0.26	0.65	0.71	0.63	0.99	0.29	0.07
	LII	0.67	0.68	0.85	0.66	0.99	0.70	0.74	0.63
GI	AE	0.69
	PA	0.78	0.33
	EP	0.77	0.57	0.33
	IWC	0.78	0.42	0.63	0.37
	Y	0.99	0.99	0.99	0.99	0.99
	EC	0.72	0.75	0.69	0.76	0.99	0.55
	RL	0.75	0.68	0.59	0.68	0.99	0.65	0.18
	LII	0.84	0.77	0.80	0.74	0.99	0.83	0.80	0.67

Spatial Distribution and Driving Factors of Winter Wheat Irrigation Carbon Emission Intensity at Township Level in Henan Province

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