Estimating the climatic capacity of food security in Henan Province, China under the future climate change scenarios

doi:10.13287/j.1001-9332.202003.011

Abstract

Abstract: To explore the effects of future climate change on food production in Henan Province, the climate potential productivity and its change characteristics in Henan Province were calculated by agro-ecological zone (AEZ) model. This study was based on the production potential and climate resource carrying capacity of summer maize and winter wheat, combined with the observation data of 111 meteorological stations in Henan Province from 1961 to 2017 and the meteorological data under two emission scenarios of RCP4.5 and RCP8.5 in 2041-2080. With the grain demand index under different living standards, we analyzed climate carrying capacity and surplus space of Henan Pro-vince. The results showed that the average climatic potential productivity of maize was 18408.87 kg·hm^-2 from 1961 to 2017, with high values in the middle and east, and low values in the west. Compared with the reference period (1981-2010), climatic potential productivity of maize under RCP4.5 and RCP8.5 decreased by 13.0% and 8.0% respectively, with the high value center shifting from the east to the southwest of Henan. The average climatic potential productivity of wheat was 10889.79 kg·hm^-2, which was high in the middle region and low in the north. Compared with the reference period, climatic potential productivity of wheat under RCP4.5 and RCP8.5 decreased by 18.6% and 21.7%, respectively. Under the current condition of subsistence and well-off food demand, the maximum carrying capacity of climate resources respectively could support 252 million and 183 million people. In 2070s (2071-2080), the average supporting population of the maximum climate resource carrying capacity (C_max) would decrease. Compared with the reference period, C_max under the level of well-off and subsistence would decrease by 9.7% and 18.4% respectively in RCP4.5 scenario, and 7.7% and 16.6% respectively in RCP8.5 scenario. Under current climate condition, the relative surplus rate of climate resources in Henan Province ranged from -93.0% to 356.9%. Compared with the reference period, the relative residual rate of climate resources in the future would reduce nearly 40%.

JI Xing-jie, XU Yan-hong, ZUO Xuan, FANG Wen-song, LU Yan-yu. Estimating the climatic capacity of food security in Henan Province, China under the future climate change scenarios[J]. Chinese Journal of Applied Ecology, 2020, 31(3): 853-862.

References 35

[1]	秦大河, Thomas S, 259名作者, 等. IPCC第五次评估报告第一工作组报告的亮点结论. 气候变化研究进展, 2014, 10(1): 1-6 [Qin D-H, Thomas S, 259 Authors, et al. Highlights of the IPCC Working Group I Fifth Assessment Report. Climate Change Research, 2014, 10(1): 1-6]
[2]	姬兴杰, 石英. 气候变化对河南烟区烤烟化学品质的影响. 气候变化研究进展, 2017, 13(3): 262-272 [Ji X-J, Shi Y. The effects of climate change on the chemical quality of flue-cured tobacco leaves in Henan flue-cured tobacco-growing areas. Advances in Climate Change Research, 2017, 13(3): 262-272]
[3]	姬兴杰, 成林, 方文松. 未来气候变化对河南省冬小麦需水量和缺水量的影响预估. 应用生态学报, 2015, 26(9): 2689-2699 [Ji X-J, Cheng L, Fang W-S. Estimating the impacts of future climate change on water requirement and water deficit of winter wheat in Henan Province, China. Chinese Journal of Applied Ecology, 2015, 26(9): 2689-2699]
[4]	李秀芬, 赵慧颖, 朱海霞, 等. 黑龙江省玉米气候生产力演变及其对气候变化的响应. 应用生态学报, 2016, 27(8): 2561-2570 [Li X-F, Zhao H-Y, Zhu H-X, et al. Evolution of maize climate productivity and its response to climate change in Heilongjiang Province, China. Chinese Journal of Applied Ecology, 2016, 27(8): 2561-2570]
[5]	Seidl I, Tisdell CA. Carrying capacity reconsidered: From Malthus’ population theory to cultural carrying capacity. Ecological Economics, 1999, 31: 395-408
[6]	卢燕宇, 王胜, 田红, 等. 近50年安徽省气候生产潜力演变及粮食安全气候承载力评估. 长江流域资源与环境, 2017, 26(3): 428-435 [Lu Y-Y, Wang S, Tian H, et al. Spatial and temporal variation of climatic potential productivity and its population capacity of food supply in Anhui Province. Resources and Environment in the Yangtze Basin, 2017, 26(3): 428-435]
[7]	余卫东, 马志红. 近50年河南省夏玉米生产潜力及产量差时空变化特征. 干旱地区农业研究, 2015, 33(1): 205-212 [Yu W-D, Ma Z-H. Temporal-spatial variation of yield potential and yield gaps of summer maize during the past 50 years in Henan Province. Agricultural Research in the Arid Areas, 2015, 33(1): 205-212]
[8]	李振杰, 段长春, 金莉莉, 等. 云南省气候生产潜力的时空变化. 应用生态学报, 2019, 30(7): 2181-2190 [Li Z-J, Duan C-C, Jin L-L, et al. Spatial and temporal variability of climatic potential productivity in Yunnan Province, China. Chinese Journal of Applied Ecology, 2019, 30(7): 2181-2190]
[9]	白美兰, 郝润全, 高建国, 等. 内蒙古地区气候资源生产潜力及其人口承载力分析评估. 干旱地区农业研究, 2010, 28(6): 253-257 [Bai M-L, Hao R-Q, Gao J-G, et al. Climatic resources potential productivity and its population capacity evaluation in Inner Mongolia. Agricultural Research in the Arid Areas, 2010, 28(6): 253-257]
[10]	王学强, 贾志宽, 李轶冰. 基于AEZ模型的河南小麦生产潜力研究. 西北农林科技大学学报:自然科学版, 2008, 36(7): 85-90 [Wang X-Q, Jia Z-K, Li Y-B. Evaluations on the productive potential of wheat based on AEZ model in Henan Province. Journal of Northwest A&F University (Natural Science), 2008, 36(7): 85-90]
[11]	初征, 郭建平. 东北地区玉米适应气候变化措施对生产潜力的影响. 应用生态学报, 2018, 29(6): 1885-1892 [Chu Z, Guo J-P. Impacts of adaptive measures to climate changes on climatic potential productivity of maize in northeast China. Chinese Journal of Applied Ecology, 2018, 29(6): 1885-1892]
[12]	赵俊芳, 郭建平, 邬定荣, 等. 2011—2050年黄淮海冬小麦、夏玉米气候生产潜力评价. 应用生态学报, 2011, 22(12): 3189-3195 [Zhao J-F, Guo J-P, Wu D-R, et al. Climatic potential productivity of winter wheat and summer maize in Huanghuaihai Plain in 2011-2050. Chinese Journal of Applied Ecology, 2011, 22(12): 3189-3195]
[13]	王雅婕, 黄耀, 张稳. 1961—2003年中国大陆地表太阳总辐射变化趋势. 气候与环境研究, 2009, 14(4): 405-413 [Wang Y-J, Huang Y, Zhang W. Changes in surface solar radiation in mainland China over the period from 1961 to 2003. Climatic and Environmental Research, 2009, 14(4): 405-413]
[14]	初征, 郭建平. 未来气候变化对东北玉米品种布局的影响. 应用气象学报, 2018, 29(2): 165-176 [Chu Z, Guo J-P. Effects of climatic change on maize varieties distribution in the future of northeast China. Journal of Applied Meteorological Science, 2018, 29(2): 165-176]
[15]	刘建栋, 周秀骥, 于强, 等. FAO 生产潜力模型中基本参数的修正. 自然资源学报, 2001, 16(3): 240-247 [Liu J-D, Zhou X-J, Yu Q, et al. Modification of the basic parameters in FAO productivity model. Journal of Natural Resources, 2001, 16(3): 240-247]
[16]	赵安, 赵小敏. FAO-AEZ法计算气候生产潜力的模型及应用分析. 江西农业大学学报, 1998, 20(4): 120-125 [Zhao A, Zhao X-M. Analysis on the mode-ling and application of calculation of potential net biomass and potential yield through FAO-AEZ methodology. Acta Agriculture Universitatis Jiangxiensis, 1998, 20(4): 120-125]
[17]	刘伟, 吕鹏, 苏凯, 等. 种植密度对夏玉米产量和源库特性的影响. 应用生态学报, 2010, 21(7): 1737-1743 [Liu W, Lyu P, Su K, et al. Effects of planting density on the grain yield and source-sink characteristics of summer maize. Chinese Journal of Applied Ecology, 2010, 21(7): 1737-1743]
[18]	王素艳, 霍治国, 李世奎, 等. 中国北方冬小麦的水分亏缺与气候生产潜力: 近40年来的动态变化研究. 自然灾害学报, 2003, 12(1): 121-130 [Wang S-Y, Huo Z-G, Li S-K, et al. Water deficiency and climatic productive potentialities of winter wheat in north of China: Study on its dynamic change in recent 40 years. Journal of Natural Disasters, 2003, 12(1): 121-130]
[19]	方文松, 朱自玺, 刘荣花, 等. 夏玉米水分-产量反应系数研究. 干旱地区农业研究, 2007, 25(2): 111-114 [Fang W-S, Zhu Z-X, Liu R-H, et al. Study on reactivity coefficient between moisture and yield of summer corn. Agricultural Research in the Arid Areas, 2007, 25(2): 111-114]
[20]	代立芹, 李春强, 康西言, 等. 基于气候和土壤水分综合适宜度指数的冬小麦产量动态预报模型. 中国农业气象, 2012, 33(4): 519-526 [Dai L-Q, Li C-Q, Kang X-Y, et al. Dynamic forecast model of winter wheat yield based on climate and soil moisture suitability. Chinese Journal of Agrometeorology, 2012, 33(4): 519-526]
[21]	田静, 苏红波, 孙晓敏, 等. 基于地面试验的植被覆盖率估算模型及其影响因素研究. 国土资源遥感, 2009(3): 1-6 [Tian J, Su H-B, Sun X-M, et al. The estimation of vegetation fractional cover and its affecting factors based on surface experiments. Remote Sensing for Land & Resources, 2009(3): 1-6]
[22]	孙卫国. 气候资源学. 北京: 气象出版社, 2008 [Sun W-G. Climate Resource Science. Beijing: Meteorological Press, 2008]
[23]	姬兴杰, 朱业玉, 顾万龙. 河南省参考作物蒸散量变化特征及其气候影响分析. 中国农业气象, 2013, 34(1): 14-22 [Ji X-J, Zhu Y-Y, Gu W-L. Analysis on trends in annual reference crop evapotranspiration and its impact climatic factors in Henan Province during 1971 to 2010. Chinese Journal of Agrometeorology, 2013, 34(1): 14-22]
[24]	陈楷根. 区域环境承载力理论及其应用. 硕士论文. 福州: 福建师范大学, 2002 [Chen K-G. Theory of Regional Environmental Carrying Capacity and Its Aapplication. Master Thesis. Fuzhou: Fujian Normal University, 2002]
[25]	姜大川, 肖伟华, 范晨媛, 等. 武汉城市圈水资源及水环境承载力分析. 长江流域资源与环境, 2016, 25(5): 761-768 [Jiang D-C, Xiao W-H, Fan C-Y, et al. Research on water resources and water environment carrying capacities of Wuhan City circle. Resources and Environment in the Yangtze Basin, 2016, 25(5): 761-768]
[26]	姚成胜, 黄琳, 吕晞. 河南省粮食消费结构变化及其对我国粮食安全的贡献率分析. 农业现代化研究, 2014, 35(2): 163-167 [Yao C-S, Huang L, Lyu X. Grain demand structure change in Henan and its contribution rate to China’s food security. Research of Agricultural Modernization, 2014, 35(2): 163-167]
[27]	中国农业科学院. 人均 400 公斤粮食必不可少. 中国农业科学, 1986, 19(5): 1-7 [Chinese Academy of Agricultural Sciences. 400 kilograms of grain per capita are essential to China. Scientia Agricultura Sinica, 1986, 19(5): 1-7]
[28]	鲁奇. 中国耕地资源开发、保护与粮食安全保障问题. 资源科学, 1999, 21(6): 5-8 [Lu Q. Some issues on the relationship between land resources development, production and food security. Resources Science, 1999, 21(6): 5-8]
[29]	唐华俊, 李哲敏. 基于中国居民平衡膳食模式的人均粮食需求量研究. 中国农业科学, 2012, 45(11): 2315-2327 [Tang H-J, Li Z-M. Study on per capita grain demand based on Chinese reasonable Dietary Pattern. Scientia Agricultura Sinica, 2012, 45(11): 2315-2327]
[30]	曹志宏, 陈志超, 郝晋珉. 中国城乡居民食品消费变化趋势分析. 长江流域资源与环境, 2012, 21(10): 1173-1178 [Cao Z-H, Chen Z-C, Hao J-M. Analysis on food consumption change tendency of Chinese urban and rural residents. Resources and Environment in the Yangtze Basin, 2012, 21(10): 1173-1178]
[31]	王焕清. 不同计划生育政策下的我国人口预测研究. 统计与决策, 2013(5): 9-13 [Wang H-Q. Research on population prediction under different family planning policies in China. Statistics & Decision, 2013(5): 9-13]
[32]	王光召, 安和平. 低生育背景下中国人口惯性与人口增长峰值预测. 宁夏大学学报:人文社会科学版, 2014, 36(3): 166-170 [Wang G-Z, An H-P. China’s population inertia and peak population growth under the background of low fertility. Journal of Ningxia University (Humanities & Social Sciences), 2014, 36(3): 166-170]
[33]	Shi Y, Gao XJ, Xu Y, et al . Effects of climate change on heating and cooling degree days and potential energy demand in the household sector of China. Climate Research, 2016, 67: 135-149
[34]	石英, 高学杰, 吴佳, 等. 华北地区未来气候变化的高分辨率数值模拟. 应用气象学报, 2010, 21(5): 580-589 [Shi Y, Gao X-J, Wu J, et al. Simulating future climate changes over north China with a high resolution regional climate model. Journal of Applied Meteoro-logical Science, 2010, 21(5): 580-589]
[35]	於琍, 卢燕宇, 黄玮, 等. 气候承载力评估的意义及基本方法//王伟光, 郑国光, 巢清尘, 等. 应对气候变化报告(2015). 北京: 社会科学文献出版社, 2015: 268-280 [Yu L, Lu Y-Y, Huang W, et al. Significance and general approach of assessment the clima-tic carrying capacity// Wang W-G, Zheng G-G, Cao Q-C, eds. Green Book of Climate Change: Annual Report on Actions to Address Climate Change (2015). Beijing: Social Sciences Academic Press, 2015: 268-280]