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.

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://www.chinaagrisci.com/EN/10.3864/j.issn.0578-1752.2024.05.010

https://www.chinaagrisci.com/EN/Y2024/V57/I5/950

Figures/Tables 8

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Table 1

References 41

[1]	FUHRMAN J, MCJEON H, PATEL P, DONEY S C, SHOBE W M, CLARENS A F. Food-energy-water implications of negative emissions technologies in a +1.5 ℃ future. Nature Climate Change, 2020, 10(10): 920-927. doi: 10.1038/s41558-020-0876-z
[2]	XU Z C, CHEN X Z, LIU J G, ZHANG Y, CHAU S, BHATTARAI N, WANG Y, LI Y J, CONNOR T, LI Y K. Impacts of irrigated agriculture on food-energy-water-CO₂ nexus across metacoupled systems. Nature Communications, 2020, 11: 5837. doi: 10.1038/s41467-020-19520-3
[3]	张扬, 李涵, 赵正豪. 中国粮食作物种植变化对省际农业碳排放量的影响研究. 中国农业资源与区划. https://kns.cnki.net/kcms/detail/11.3513.S.20220831.1438.012.html.
	ZHANG Y, LI H, ZHAO Z H. Effects of grain crop planting changes on agricultural carbon emissions between provinces in China. Chinese Journal of Agricultural Resources and Regional Planning. https://kns.cnki.net/kcms/detail/11.3513.S.20220831.1438.012.html. (in Chinese)
[4]	杜景新, 赵荣钦, 肖连刚, 杨青林, 王帅, 杨文娟, 张慧芳, 王天俣, 李永涛, 冯浩. 基于“水-能”关联的河南省农业灌溉过程的碳排放研究. 灌溉排水学报, 2020, 39(10): 82-90.
	DU J X, ZHAO R Q, XIAO L G, YANG Q L, WANG S, YANG W J, ZHANG H F, WANG T Y, LI Y T, FENG H. Carbon emissions from irrigated agricultural soils in Henan Province: Analyzed from the water-energy nexus point of view. Journal of Irrigation and Drainage, 2020, 39(10): 82-90. (in Chinese)
[5]	SIYAL A W, GERBENS-LEENES P W, NONHEBEL S. Energy and carbon footprints for irrigation water in the lower Indus Basin in Pakistan, comparing water supply by gravity fed canal networks and groundwater pumping. Journal of Cleaner Production, 2021, 286: 125489. doi: 10.1016/j.jclepro.2020.125489
[6]	赵荣钦, 张帅, 黄贤金, 秦耀辰, 刘英, 丁明磊, 焦士兴. 中原经济区县域碳收支空间分异及碳平衡分区. 地理学报, 2014, 69(10): 1425-1437. doi: 10.11821/dlxb201410003
	ZHAO R Q, ZHANG S, HUANG X J, QIN Y C, LIU Y, DING M L, JIAO S X. Spatial variation of carbon budget and carbon balance zoning of Central Plains Economic Region at county-level. Acta Geographica Sinica, 2014, 69(10): 1425-1437. (in Chinese) doi: 10.11821/dlxb201410003
[7]	顾张锋, 徐丽华, 马淇蔚, 施益军, 陆张维, 吴亚琪. 浙江省都市区碳排放时空演变及其影响因素. 自然资源学报, 2022, 37(6): 1524-1539. doi: 10.31497/zrzyxb.20220611
	GU Z F, XU L H, MA Q W, SHI Y J, LU Z W, WU Y Q. Spatio-temporal evolution of carbon emissions in metropolitan areas and its influencing factors: A case study of Zhejiang Province. Journal of Natural Resources, 2022, 37(6): 1524-1539. (in Chinese) doi: 10.31497/zrzyxb.20220611
[8]	徐玉秀, 郭李萍, 谢立勇, 云安萍, 李迎春, 张璇, 赵迅, 刁田田. 中国主要旱地农田N₂O背景排放量及排放系数特点. 中国农业科学, 2016, 49(9): 1729-1743. doi: 10.3864/j.issn.0578-1752.2016.09.009.
	XU Y X, GUO L P, XIE L Y, YUN A P, LI Y C, ZHANG X, ZHAO X, DIAO T T. Characteristics of background emissions and emission factors of N₂O from major upland fields in China. Scientia Agricultura Sinica, 2016, 49(9): 1729-1743. doi: 10.3864/j.issn.0578-1752.2016.09.009. (in Chinese)
[9]	WEST T O, MARLAND G. A synthesis of carbon sequestration, carbon emissions, and net carbon flux in agriculture: Comparing tillage practices in the United States. Agriculture, Ecosystems & Environment, 2002, 91(1-3): 217-232. doi: 10.1016/S0167-8809(01)00233-X
[10]	RAJAN A, GHOSH K, SHAH A. Carbon footprint of India’s groundwater irrigation. Carbon Management, 2020, 11(3): 265-280. doi: 10.1080/17583004.2020.1750265
[11]	KASHYAP D, AGARWAL T. Carbon footprint and water footprint of rice and wheat production in Punjab, India. Agricultural Systems, 2021, 186: 102959. doi: 10.1016/j.agsy.2020.102959
[12]	白义鑫, 王霖娇, 盛茂银. 黔中喀斯特地区农业生产碳排放实证研究. 中国农业资源与区划, 2021, 42(3): 150-157.
	BAI Y X, WANG L J, SHENG M Y. Empirical study on carbon emission of agricultural production in Karst region of Guizhou Province. Chinese Journal of Agricultural Resources and Regional Planning, 2021, 42(3): 150-157. (in Chinese)
[13]	GONG H R, LI J, SUN M X, XU X B, OUYANG Z. Lowering carbon footprint of wheat-maize cropping system in North China Plain: Through microbial fertilizer application with adaptive tillage. Journal of Cleaner Production, 2020, 268: 122255. doi: 10.1016/j.jclepro.2020.122255
[14]	田云, 王梦晨. 湖北省农业碳排放效率时空差异及影响因素. 中国农业科学, 2020, 53(24): 5063-5072. doi: 10.3864/j.issn.0578-1752.2020.24.009.
	TIAN Y, WANG M C. Research on spatial and temporal difference of agricultural carbon emission efficiency and its influencing factors in Hubei Province. Scientia Agricultura Sinica, 2020, 53(24): 5063-5072. doi: 10.3864/j.issn.0578-1752.2020.24.009. (in Chinese)
[15]	XIONG C H, YANG D G, XIA F Q, HUO J W. Changes in agricultural carbon emissions and factors that influence agricultural carbon emissions based on different stages in Xinjiang, China. Scientific Reports, 2016, 6: 36912. doi: 10.1038/srep36912 pmid: 27830739
[16]	李明琦, 刘世梁, 武雪, 孙永秀, 侯笑云, 赵爽. 云南省农田生态系统碳足迹时空变化及其影响因素. 生态学报, 2018, 38(24): 8822-8834.
	LI M Q, LIU S L, WU X, SUN Y X, HOU X Y, ZHAO S. Temporal and spatial dynamics in the carbon footprint and its influencing factors of farmland ecosystems in Yunnan Province. Acta Ecologica Sinica, 2018, 38(24): 8822-8834. (in Chinese)
[17]	谢花林, 黄萤乾. 非农就业与土地流转对农户耕地撂荒行为的影响: 以闽赣湘山区为例. 自然资源学报, 2022, 37(2): 408-423. doi: 10.31497/zrzyxb.20220210
	XIE H L, HUANG Y Q. Impact of non-agricultural employment and land transfer on farmland abandonment behaviors of farmer: A case study in Fujian-Jiangxi-Hunan Mountainous Areas. Journal of Natural Resources, 2022, 37(2): 408-423. (in Chinese) doi: 10.31497/zrzyxb.20220210
[18]	刘晔, 刘丹, 张林秀. 中国省域城镇居民碳排放驱动因素分析. 地理科学, 2016, 36(5): 691-696. doi: 10.13249/j.cnki.sgs.2016.05.006
	LIU Y, LIU D, ZHANG L X. Driving factors analysis of carbon emissions in Chinese provincial urban households. Scientia Geographica Sinica, 2016, 36(5): 691-696. (in Chinese) doi: 10.13249/j.cnki.sgs.2016.05.006
[19]	王劲峰, 徐成东. 地理探测器: 原理与展望. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	WANG J F, XU C D. Geodetector: Principle and prospective. Acta Geographica Sinica, 2017, 72(1): 116-134. (in Chinese) doi: 10.11821/dlxb201701010
[20]	张振龙, 孙慧, 苏洋. 中国西北干旱地区农牧业生态系统碳排放的空间分布与演变趋势. 生态学报, 2017, 37(16): 5263-5272.
	ZHANG Z L, SUN H, SU Y. The spatial distribution and evolution trends of agricultural and animal husbandry carbon emissions in the northwest arid region of China. Acta Ecologica Sinica, 2017, 37(16): 5263-5272. (in Chinese)
[21]	ZHAO R Q, LIU Y, TIAN M M, DING M L, CAO L H, ZHANG Z P, CHUAI X W, XIAO L G, YAO L G. Impacts of water and land resources exploitation on agricultural carbon emissions: The water- land-energy-carbon nexus. Land Use Policy, 2018, 72: 480-492. doi: 10.1016/j.landusepol.2017.12.029
[22]	王帅, 赵荣钦, 苏辉, 冯德显, 肖连刚, 杨青林, 熊涛, 杨文娟. 河南省典型区农业水土资源开发的碳排放效应研究. 华北水利水电大学学报(自然科学版), 2019, 40(1): 71-78.
	WANG S, ZHAO R Q, SU H, FENG D X, XIAO L G, YANG Q L, XIONG T, YANG W J. Carbon emission effects of agricultural land and water resources exploitation in typical villages of Henan Province. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 2019, 40(1): 71-78. (in Chinese)
[23]	GUPTA D K, BHATIA A, KUMAR A, DAS T K, JAIN N, TOMER R, MALYAN S K, FAGODIYA R K, DUBEY R, PATHAK H. Mitigation of greenhouse gas emission from rice-wheat system of the Indo-Gangetic Plains: Through tillage, irrigation and fertilizer management. Agriculture, Ecosystems & Environment, 2016, 230: 1-9. doi: 10.1016/j.agee.2016.05.023
[24]	刘琼, 肖海峰. 农地经营规模与财政支农政策对农业碳排放的影响. 资源科学, 2020, 42(6): 1063-1073. doi: 10.18402/resci.2020.06.05
	LIU Q, XIAO H F. The impact of farmland management scale and fiscal policy for supporting agriculture on agricultural carbon emission. Resources Science, 2020, 42(6): 1063-1073. (in Chinese) doi: 10.18402/resci.2020.06.05
[25]	田云, 张俊飚, 李波. 中国粮食主产区农业碳排强度估算及其分析. 地理科学进展, 2012, 31(11): 1546-1551.
	TIAN Y, ZHANG J B, LI B. Intensities of agricultural carbon emissions and their causes in the major grain producing areas in China. Progress in Geography, 2012, 31(11): 1546-1551. (in Chinese) doi: 10.11820/dlkxjz.2012.11.016
[26]	YIN L C, TAO F L, CHEN Y, WANG Y C, CIAIS P, SMITH P. Novel cropping-system strategies in China can increase plant protein with higher economic value but lower greenhouse gas emissions and water use. One Earth, 2023, 6(5): 560-572. doi: 10.1016/j.oneear.2023.04.010
[27]	LIU Y, ZHOU X N, DU C H, LIU Y, XU X C, EJAZ I, HU N Y, ZHAO X, ZHANG Y H, WANG Z M, SUN Z C. Trade-off between soil carbon emission and sequestration for winter wheat under reduced irrigation: The role of soil amendments. Agriculture, Ecosystems & Environment, 2023, 352: 108535. doi: 10.1016/j.agee.2023.108535
[28]	王晓云, 蔡焕杰, 李亮, 徐家屯, 陈慧. 亏缺灌溉对冬小麦农田温室气体排放的影响. 环境科学, 2019, 40(5): 2413-2425.
	WANG X Y, CAI H J, LI L, XU J T, CHEN H. Effects of water deficit on greenhouse gas emission in wheat field in different periods. Environmental Science, 2019, 40(5): 2413-2425. (in Chinese)
[29]	SPRINGMANN M, CLARK M, MASON-D’CROZ D, WIEBE K, BODIRSKY B L, LASSALETTA L, DE VRIES W, VERMEULEN S J, HERRERO M, CARLSON K M, JONELL M, TROELL M, DECLERCK F, GORDON L J, ZURAYK R, SCARBOROUGH P, RAYNER M, LOKEN B, FANZO J, GODFRAY H C J, TILMAN D, ROCKSTRÖM J, WILLETT W. Options for keeping the food system within environmental limits. Nature, 2018, 562(7728): 519-525. doi: 10.1038/s41586-018-0594-0
[30]	JIAO F L, HONG S Z, CUI J C, ZHANG Q F, LI M, SHI R L, HAN H F, LI Q Q. Subsoiling combined with irrigation improves carbon emission and crop water productivity of winter wheat in North China Plain. Agricultural Water Management, 2022, 269: 107685. doi: 10.1016/j.agwat.2022.107685
[31]	许尔琪. 中国农业资源环境分区数据集. 全球变化数据学报(中英文), 2021, 5(1): 19-26.
	XU E Q. Dataset of agricultural resource and environment zoning of China. Journal of Global Change Data & Discovery, 2021, 5(1): 19-26. (in Chinese)
[32]	王帅, 赵荣钦, 杨青林, 肖连刚, 杨文娟, 余娇, 朱瑞明, 揣小伟, 焦士兴. 碳排放约束下的农业生产效率及其空间格局: 基于河南省65个村庄的调查. 自然资源学报, 2020, 35(9): 2092-2104. doi: 10.31497/zrzyxb.20200905
	WANG S, ZHAO R Q, YANG Q L, XIAO L G, YANG W J, YU J, ZHU R M, CHUAI X W, JIAO S X. Agricultural production efficiency and spatial pattern under carbon emission constraint: Based on 65 villages of Henan Province. Journal of Natural Resources, 2020, 35(9): 2092-2104. (in Chinese) doi: 10.31497/zrzyxb.20200905
[33]	张峰, 吴炳方, 罗治敏. 美国冬小麦产量遥感预测方法. 遥感学报, 2004, 8(6): 611-617.
	ZHANG F, WU B F, LUO Z M. Winter wheat yield predicting for America using remote sensing data. Journal of Remote Sensing, 2004, 8(6): 611-617. (in Chinese)
[34]	LI F J, REN J Q, WU S R, ZHAO H W, ZHANG N D. Comparison of regional winter wheat mapping results from different similarity measurement indicators of NDVI time series and their optimized thresholds. Remote Sensing, 2021, 13(6): 1162. doi: 10.3390/rs13061162
[35]	MORGOUNOV A, GUMMADOV N, BELEN S, KAYA Y, KESER M, MURSALOVA J. Association of digital photo parameters and NDVI with winter wheat grain yield in variable environments. Turkish Journal of Agriculture and Forestry, 2014, 38: 624-632. doi: 10.3906/tar-1312-90
[36]	王帅, 赵荣钦, 韩枫, 黄会平, 张师赫, 熊涛, 张笑荣, 石金鑫. 河南省农作物虚拟水与隐含碳排放的时空格局及关联机制研究. 华北水利水电大学学报(自然科学版), 2020, 41(2): 72-80.
	WANG S, ZHAO R Q, HAN F, HUANG H P, ZHANG S H, XIONG T, ZHANG X R, SHI J X. Study on spatial and temporal pattern and nexus mechanism of virtual water and embodied carbon emission of crops in Henan Province. Journal of North China University of Water Resources and Electric Power (Natural Science Edition), 2020, 41(2): 72-80. (in Chinese)
[37]	LIU C W, CUI N B, GONG D Z, HU X T, FENG Y. Evaluation of seasonal evapotranspiration of winter wheat in humid region of East China using large-weighted lysimeter and three models. Journal of Hydrology, 2020, 590: 125388. doi: 10.1016/j.jhydrol.2020.125388
[38]	GONG X H, ZHANG H B, REN C F, SUN D Y, YANG J T. Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty. Agricultural Water Management, 2020, 239: 106264. doi: 10.1016/j.agwat.2020.106264
[39]	张志高, 袁征, 李贝歌, 张宏亮, 张玉, 郑美洁. 基于投入视角的河南省农业碳排放时空演化特征与影响因素分解. 中国农业资源与区划, 2017, 38(10): 152-161.
	ZHANG Z G, YUAN Z, LI B G, ZHANG H L, ZHANG Y, ZHENG M J. Spatial-temporal evolution characteristics and factor decomposition on agricultural carbon emissions in Henan Province. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(10): 152-161. (in Chinese)
[40]	王占彪, 王猛, 陈阜. 华北平原作物生产碳足迹分析. 中国农业科学, 2015, 48(1): 83-92. doi: 10.3864/j.issn.0578-1752.2015.01.09.
	WANG Z B, WANG M, CHEN F. Carbon footprint analysis of crop production in North China plain. Scientia Agricultura Sinica, 2015, 48(1): 83-92. doi: 10.3864/j.issn.0578-1752.2015.01.09. (in Chinese)
[41]	MAO Y, LIU Y L, ZHUO L, WANG W, LI M, FENG B B, WU P T. Quantitative evaluation of spatial scale effects on regional water footprint in crop production. Resources, Conservation and Recycling, 2021, 173: 105709. doi: 10.1016/j.resconrec.2021.105709

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!

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

RichHTML

PDF

Abstract

Cite this article

share this article

Figures/Tables 8

References 41

Related Articles 15

Metrics

Comments

Recommended 0

[1]	GAO ShangJie, LIU XingRen, LI YingChun, LIU XiaoWan. Effects of Biochar and Straw Return on Greenhouse Gas Emissions and Global Warming Potential in the Farmland [J]. Scientia Agricultura Sinica, 2024, 57(5): 935-949.
[2]	WANG Yu, SONG YiFan, ZHANG Rong, MU HaiMeng, SUN LiFang, FU KaiXia, WU ZiJun, HUANG QingQing, XU YingMing, LI GeZi, WANG YongHua, GUO TianCai. Effects of Soil Application of Passivating Agent and Compound Microbial Fertilizer on Cadmium Accumulation in Winter Wheat [J]. Scientia Agricultura Sinica, 2024, 57(1): 126-141.
[3]	WEI YongKang, YANG TianCong, ZANG ShaoLong, HE Li, DUAN JianZhao, XIE YingXin, WANG ChenYang, FENG Wei. Monitoring Wheat Lodging Based on UAV Multi-Spectral Image Feature Fusion [J]. Scientia Agricultura Sinica, 2023, 56(9): 1670-1685.
[4]	MA ShengLan, KUANG FuHong, LIN HongYu, CUI JunFang, TANG JiaLiang, ZHU Bo, PU QuanBo. Effects of Straw Incorporation Quantity on Soil Physical Characteristics of Winter Wheat-Summer Maize Rotation System in the Central Hilly Area of Sichuan Basin [J]. Scientia Agricultura Sinica, 2023, 56(7): 1344-1358.
[5]	CHANG ChunYi, CAO Yuan, GHULAM Mustafa, LIU HongYan, ZHANG Yu, TANG Liang, LIU Bing, ZHU Yan, YAO Xia, CAO WeiXing, LIU LeiLei. Effects of Powdery Mildew on Photosynthetic Characteristics and Quantitative Simulation of Disease Severity in Winter Wheat [J]. Scientia Agricultura Sinica, 2023, 56(6): 1061-1073.
[6]	WANG XiaoXuan, ZHANG Min, ZHANG XinYao, WEI Peng, CHAI RuShan, ZHANG ChaoChun, ZHANG LiangLiang, LUO LaiChao, GAO HongJian. Effects of Different Varieties of Phosphate Fertilizer Application on Soil Phosphorus Transformation and Phosphorus Uptake and Utilization of Winter Wheat [J]. Scientia Agricultura Sinica, 2023, 56(6): 1113-1126.
[7]	GUO Yan, JING YuHang, WANG LaiGang, HUANG JingYi, HE Jia, FENG Wei, ZHENG GuoQing. UAV Multispectral Image-Based Nitrogen Content Prediction and the Transferability Analysis of the Models in Winter Wheat Plant [J]. Scientia Agricultura Sinica, 2023, 56(5): 850-865.
[8]	GAO ChenKai, LIU ShuiMiao, LI YuMing, WU PengNian, WANG YanLi, LIU ChangShuo, QIAO YiBo, GUAN XiaoKang, WANG TongChao, WEN PengFei. Prediction of Water Content of Winter Wheat Plant Based on Comprehensive Index Synergetic Optimization [J]. Scientia Agricultura Sinica, 2023, 56(22): 4403-4416.
[9]	AI DaiLong, LEI Fang, ZOU QiaoSheng, HE Peng, YANG HongKun, FAN GaoQiong. Effects of Straw Mulching and Nitrogen Application on the Improvement of Wheat Root Architecture and the Absorption and Utilization of H⁺ and NO₃^- in Hilly Dry Land [J]. Scientia Agricultura Sinica, 2023, 56(21): 4192-4207.
[10]	MENG QingLei, YIN YuXiang, WANG YuHao. Spatial-Temporal Evolution, Decoupling Effect and Performance Evaluation of China’s Agricultural Carbon Emissions [J]. Scientia Agricultura Sinica, 2023, 56(20): 4049-4066.
[11]	SHI XinRui, HAN BaiShu, WANG ZiQian, ZHANG YuanLing, LI Ping, ZONG YuZheng, ZHANG DongSheng, GAO ZhiQiang, HAO XingYu. Investigation on the Effects of Climate Change on the Growth and Yield of Different Maturity Winter Wheat Varieties in Northern China Based on the APSIM Model [J]. Scientia Agricultura Sinica, 2023, 56(19): 3772-3787.
[12]	LIN JiangYun, YIN BenSu, WANG XingShu, LIU ChenRui, SUN Qing, XIE XingXing, CHENG LingLing, SUN LiWei, SHI Mei, WANG ZhaoHui. The Accumulation of Iron and Manganese in Wheat and Its Relationship with Soil Nutrients Under Long-Term Application of Nitrogen Fertilizer [J]. Scientia Agricultura Sinica, 2023, 56(17): 3372-3382.
[13]	MU HaiMeng, SUN LiFang, WANG ZhuangZhuang, WANG Yu, SONG YiFan, ZHANG Rong, DUAN JianZhao, XIE YingXin, KANG GuoZhang, WANG YongHua, GUO TianCai. Effect of Nitrogen Application Rate and Planting Density on the Lodging Resistance and Grain Yield of Two Winter Wheat Varieties [J]. Scientia Agricultura Sinica, 2023, 56(15): 2863-2879.
[14]	TIAN Yun, YIN Minhao, ZHANG Huijie. Spatial-Temporal Pattern, Influencing Factors and Spatial Spillover Effect of Rural Energy Carbon Emissions in China [J]. Scientia Agricultura Sinica, 2023, 56(13): 2547-2562.
[15]	DONG YiFan, REN Yi, CHENG YuKun, WANG Rui, ZHANG ZhiHui, SHI XiaoLei, GENG HongWei. Genome-Wide Association Study of Grain Main Quality Related Traits in Winter Wheat [J]. Scientia Agricultura Sinica, 2023, 56(11): 2047-2063.