Research Progress on Spatio-Temporal Characteristics and Driving Factors of Water Footprint for Rice Production in China

doi:10.11924/j.issn.1000-6850.casb2023-0902

Abstract

Abstract:

Rice is the most water-intensive crop in China, and water footprint for rice production as a measure of the total water consumption of a crop in a certain range of time and space, can measure the water resources in rice production accurately. In this paper, the temporal and spatial characteristics of water footprint for rice production were summarized, and the driving factors behind the temporal and spatial characteristics of water footprint for rice production were analyzed. The existing problems and the prospect of future research were put forward.

Key words: China, rice production, water footprint, spatio-temporal change

MENG Qinghao, RU Yan, ZHANG Ying, WANG Chen, WEN Ya, FA Xiaotong, ZHANG Hao. Research Progress on Spatio-Temporal Characteristics and Driving Factors of Water Footprint for Rice Production in China[J]. Chinese Agricultural Science Bulletin, 2024, 40(27): 52-59.

References 61

[1]	PIMENTEL D, BERGER B, FILIBERTO D, et al. Water resources: agricultural and environmental issues[J]. Bioscience, 2004, 54(10):909-918.
[2]	WU H F, JIN R C, LIU A, et al. Savings and losses of scarce virtual water in the international trade of wheat, maize, and rice[J]. International journal of environmental research and public health, 2022, 19(7):4119.
[3]	STEFFEN W, RICHARDSON K, ROCKSTRÖM J, et al. Planetary boundaries: guiding human development on a changing planet[J]. Science, 2015, 347(6223):1259855.
[4]	MEKONNEN M M, HOEKSTRA Y A. Four billion people facing severe water scarcity[J]. Science advances, 2016, 2(2):e1500323.
[5]	HOY Q A. Protecting water resources calls for international efforts[J]. Science, 2017, 356(6340):814-815. doi: 10.1126/science.356.6340.814 pmid: 28546183
[6]	MAKANDA K, NZAMA S, KANYERERE T. Assessing the role of water resources protection practice for sustainable water resources management: a review[J]. Water, 2022, 14(19):3153.
[7]	HOEKSTRA A, HUNG P Q. Virtual water trade: a quantification of virtual water flows between nations in relation to international crop trade[J]. Water science & technology, 2002, 49(11):203-209.
[8]	LOVARELLI D, BACENETTI J, FIALA M. Water footprint of crop productions: a review[J]. Science of the total environment, 2016,548:236-251.
[9]	WU M Y, LI Y Y, XIAO J F, et al. Blue, green, and grey water footprints assessment for paddy irrigation-drainage system[J]. Journal of environmental management, 2022,302:114116.
[10]	WANG Q, HUANG K, LIU H, et al. Factors affecting crop production water footprint: a review and meta-analysis[J]. Sustainable production and consumption, 2023,36:207-216.
[11]	HOEKSTRA A Y. The water footprint assessment manual: setting the global standard[M]. London UK: Routledge,2011:30-40.
[12]	JAMSHIDI S, IMANI S, DELAVAR M. An approach to quantifying the grey water footprint of agricultural productions in basins with impaired environment[J]. Journal of hydrology, 2022,606:127458.
[13]	尚科辉. 中国主要粮食作物生产系统蓝绿水资源能值时空演变解析与评价[D]. 咸阳: 西北农林科技大学,2022:28-35.
[14]	何浩, 黄晶, 淮贺举, 等. 湖南省水稻水足迹计算及其变化特征分析[J]. 中国农学通报, 2010, 26(14):294-298.
[15]	杨婷. 吉林省水稻生产水足迹地域分异研究[D]. 长春: 东北师范大学,2015:18-44.
[16]	LI H Y, QIN L J, HE H S, et al. Characteristics of the water footprint of rice production under different rainfall years in Jilin Province, China[J]. Journal of the science of food and agriculture, 2018, 98(8):3001-3013. doi: 10.1002/jsfa.8799 pmid: 29193107
[17]	苏明涛. 黑龙江垦区粮食生产水足迹研究[D]. 长春: 东北师范大学,2012:4-34.
[18]	赵思翔, 王伟, 刘艺琳, 等. 基于虚拟水视角的四川省农业水资源压力时空演化[J]. 灌溉排水学报, 2023, 42(10):85-90.
[19]	方梦林. 基于水足迹理论的浏阳市农作物用水量变化及水资源管理研究[D]. 武汉: 湖北大学,2022:28-43.
[20]	李怡瑶. 宁夏主要粮食作物绿水足迹演变趋势及归因分析[D]. 银川: 宁夏大学,2022:20-72.
[21]	杨伟歆. 黑龙江省水田水土资源可持续利用评价指标体系构建[D]. 哈尔滨: 东北农业大学,2023:27-30.
[22]	李红颖, 秦丽杰, 杨婷. 吉林省水稻生产水足迹时空分异研究[J]. 华北水利水电大学学报(自然科学版), 2018, 39(2):32-39.
[23]	梅方权, 吴宪章, 姚长溪, 等. 中国水稻种植区划[J]. 中国水稻科学, 1988(3):97-110.
[24]	LU J, DENGS C, IMRAN M, et al. Assessing on yield difference of double-cropping rice in South China driven by radiation use efficiency[J]. Journal of integrative agriculture, 2023, doi:10.1016/j.jia.2023.10.006.
[25]	杨万江, 王绎. 我国双季稻区复种变化及影响因素分析——基于10个水稻主产省的实证研究[J]. 农村经济, 2013(11):24-28.
[26]	张晓梅, 杨从党, 丁艳锋, 等. 西南单季稻区立体生态亚区划分探讨[J]. 中国稻米, 2016, 22(5):10-14.
[27]	HANG X N, DANSO F, LUO J, et al. Effects of water-saving irrigation on direct-seeding rice yield and greenhouse gas emissions in North China[J]. Agriculture, 2022, 12(7):937.
[28]	SCHEWE J, HEINKE J, GERTEN D, et al. Multimodel assessment of water scarcity under climate change[J]. Proceedings of the national academy of sciences, 2014, 111(9):3245-3250.
[29]	王如意, 刘杰, 冯琴, 等. 稻瘟病抗性分子机制及抗病育种策略研究进展[J]. 植物保护, 2023, 49(5):32-42.
[30]	唐道清, 蓝韦伟, 蒋一岚. 水稻栽培技术教育的有效性探究[J]. 新农业, 2023(10):9-10.
[31]	张娟伟, 石亚飞, 路旭平, 等. 种子萌发期粳稻种质资源耐旱性综合评价[J]. 核农学报, 2022, 36(11):2093-2103. doi: 10.11869/j.issn.100-8551.2022.11.2093
[32]	程利分. 基于水足迹的广东省农业水资源可持续利用评价研究[D]. 广州: 广州大学,2023:67.
[33]	封琼, 毕忠飞, 刘俊. 淮河流域主要农作物水足迹时空演变及影响因素分析[J]. 水资源与水工程学报, 2022, 33(6):213-219.
[34]	崔红艳. 吉林省玉米种植水足迹及其效率分析[J]. 东北农业科学, 2022(1):137-141.
[35]	张家欣, 黄会平, 韩宇平, 等. 水足迹视角下西北旱区种植结构协同调整[J]. 南水北调与水利科技(中英文), 2023, 21(4):751-760.
[36]	姚懿真. 中国粮食作物水足迹与区域虚拟水运移[D]. 北京: 中国水利水电科学研究院,2018:55-59.
[37]	武华. 中国主要粮食作物生产碳氮水足迹集成分析[D]. 南京: 南京农业大学,2020:55-61.
[38]	胡子浩. 辽宁省各市作物水足迹时空变化特征及驱动因素分析[D]. 沈阳: 沈阳农业大学,2023:27-28.
[39]	郑晓雪. 吉林省农作物生产水足迹变化及影响因素研究[D]. 长春: 东北师范大学,2019:23-47.
[40]	ALI A M, SAVIN I, PODDUBSKIY A, et al. Integrated method for rice cultivation monitoring using sentinel-2 data and leaf area index[J]. The egyptian journal of remote sensing and space science, 2021, 24(3):431-441.
[41]	管美佳. 基于水足迹的中国粮食生产生态效率评价[D]. 咸阳: 西北农林科技大学,2017:47-49.
[42]	王建琴. 东北地区农作物生产水足迹热点的时空变化及驱动因素研究[D]. 吉林: 东北师范大学,2022:42-61.
[43]	聂媛, 李晓云, 江文曲, 等. 基于水足迹视角的中国北方10省三大粮食作物种植结构优化[J]. 资源科学, 2022, 44(11):2315-2329. doi: 10.18402/resci.2022.11.12
[44]	CHENG Y Q, ZHANG P Y, ZHANG H M. Variation character of grain yield per unit area in main grain-producing area of Northeast China[J]. Chinese geographical science, 2007,17:110-116.
[45]	ZHENG J Z, WANG W G, LIU G S, et al. Towards quantification of the national water footprint in rice production of China: a first assessment from the perspectives of single-double rice[J]. Science of the total environment, 2020,739:140032.
[46]	LUO W Q, CHEN M T, KANG Y H, et al. Analysis of crop water requirements and irrigation demands for rice: implications for increasing effective rainfall[J]. Agricultural water management, 2022,260:107285.
[47]	张惠云. 基于LCA的吉林省水稻生产水足迹和碳足迹的时空分异与影响因素研究[D]. 长春: 东北师范大学,2021:28-42.
[48]	LI X C, CHEN D, CAO X C, et al. Assessing the components of, and factors influencing, paddy rice water footprint in China[J]. Agricultural water management, 2020,229:105939.
[49]	ZHENG H B, LI B, CHEN Y W, et al. Elastic sowing dates with low seeding rate for grain yield maintenance in mechanized large-scale double-cropped rice production[J]. Scientific reports, 2020, 10(1):9185. doi: 10.1038/s41598-020-66175-7 pmid: 32513997
[50]	HU Q, PAN F F, PAN X B, et al. Trends in agricultural heat and solar radiation resources in Northeast China: a multistage spatio-temporal analysis[J]. International journal of climatology, 2016, 36(6):2461-2468.
[51]	SABINE S, FOLKARD A. Responses of rice growth to day and night temperature and relative air humidity——leaf elongation and assimilation[J]. Plants, 2021, 10(1):134.
[52]	张苏扬. 区域参考作物蒸散量主控因子分析及变化趋势研究[D]. 银川: 宁夏大学,2022:55-56.
[53]	HU X D, LI H F, WU H, et al. Modeling the kinematic response of rice under near-ground wind fields using the finite element method[J]. Agronomy, 2023, 13(4):1178.
[54]	SUTTHIWAREE P. 中泰水稻机械化生产比较研究[D]. 北京: 中国农业大学,2018:7-8.
[55]	WEI Z Q, WEI K K, LIU J C, et al. The relationship between agricultural and animal husbandry economic development and carbon emissions in Henan Province, the analysis of factors affecting carbon emissions, and carbon emissions prediction[J]. Marine pollution bulletin, 2023,193:115134.
[56]	刘倩男. 黑龙江省“粮食作物水足迹强度”空间关联格局及其影响因素研究[D]. 大庆: 黑龙江八一农垦大学,2021:41-61.
[57]	XIA Y Q, YAN X Y. Ecologically optimal nitrogen application rates for rice cropping in the Taihu Lake region of China[J]. Sustainability science, 2012, 7(1):33-44.
[58]	罗喜秀. 稻菌(菇)模式生态足迹和经济效益评估[D]. 武汉: 华中农业大学,2022:7-42.
[59]	张惠云, 秦丽杰, 贾利. 吉林省水稻生产的碳足迹与水足迹时空变化特征[J]. 浙江农业学报, 2021, 33(6):974-983. doi: 10.3969/j.issn.1004-1524.2021.06.02
[60]	SUN Y C. Environmental regulation, agricultural green technology innovation, and agricultural green total factor productivity[J]. Frontiers in environmental science, 2022,10:955954.
[61]	吴耀宇. 三江平原地区农作物生产水足迹时空演变特征及水资源可持续利用研究[D]. 哈尔滨: 东北农业大学,2022:32-49.