长江流域资源与环境 >> 2017, Vol. 26 >> Issue (03): 428-435.doi: 10.11870/cjlyzyyhj201703013

• 农业发展 • 上一篇    下一篇

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

卢燕宇1,2, 王胜1,2, 田红1, 邓汗青1,2, 何冬燕1,2   

  1. 1. 安徽省气候中心, 安徽 合肥 230031;
    2. 安徽省大气科学与卫星遥感重点实验室, 安徽 合肥 230031
  • 收稿日期:2016-08-22 修回日期:2016-12-04 出版日期:2017-03-20
  • 作者简介:卢燕宇(1981~),男,博士,高级工程师,主要研究方向为气候变化与气象灾害风险.E-mail:ahqxlyy@163.com
  • 基金资助:
    中国气象局气候变化专项(CCSF201507);中国清洁发展机制基金赠款项目(2013028);安徽省气象局创新团队建设计划;中国气象局青年英才计划

SPATIAL AND TEMPORAL VARIATION OF CLIMATIC POTENTIAL PRODUCTIVITY AND ITS POPULATION CAPACITY OF FOOD SUPPLY IN ANHUI PROVINCE

LU Yan-yu1,2, WANG Sheng1,2, TIAN Hong1, DENG Han-qing1,2, HE Dong-yan1,2   

  1. 1. Anhui Climate Center, Anhui Meteorological Administration, Hefei 230031, China;
    2. Anhui Key Laboratory of Atmospheric Science and Satellite Remote Sensing, Anhui Meteorological Administration, Hefei 230031, China
  • Received:2016-08-22 Revised:2016-12-04 Online:2017-03-20
  • Supported by:
    Climate Change Special Foundation of CMA (CCSF201507);China Clean Development Mechanism Fund (2013028);Anhui Meteorological Innovation Team Program;Young Talents Program of CMA

摘要: 安徽省是重要的粮食产区,在保障我国粮食安全中发挥着重要作用,研究该省气候生产潜力的演变特征,面向粮食安全分析其气候承载力具有显著的现实意义。本文从粮食生产与光温水等气候因子的关系出发,采用逐级订正的方法计算了安徽省的气候生产潜力及其变化特征,并根据不同生活水平下的粮食需求指标,分析了安徽省的气候承载力和剩余空间。结果表明,安徽省气候生产潜力的地理分异特征显著,其中北部高于南部、平原高于山区,高值区主要集中在沿淮及淮北地区,与耕种条件配合较好,有利于生产潜力的发挥。1961~2013年全省气候生产潜力基本呈一致下降趋势,近50年平均减少了约10%。安徽省目前粮食消费水平和结构属温饱型向小康型过渡阶段,在充分发挥气候生产潜力的前提下,全省气候资源所能承载的粮食产量均显著超过不同生活水平下的总需求量。小康水平下,气候承载力的相对剩余率总体呈东北向西南递减的趋势,除部分城市地区和山区外,全省大部地区气候承载力的剩余空间仍较富裕,能够较好的保障粮食需求。总的来看,由于安徽省光温水以及耕地等条件配合较好,气候承载力较高;虽然受太阳辐射影响,近年来气候生产潜力下降,但在保障未来小康社会的粮食安全方面,安徽省仍具有较好的气候承载力,粮食生产还有较大的提升空间。

关键词: 气候生产潜力, 粮食安全, 气候承载力, 相对剩余率, 时空变化特征

Abstract: As one of major grain production areas, Anhui Province plays an important role in ensuring food security in China. It is therefore critical to explore its climatic productive potential, and to assess its capacity of food supply in Anhui Province. In this paper, the step rectifying method was used to calculate the climatic potential productivity, based on the relationship between grain production and climatic factors such as solar radiation, temperature, and precipitation. The climatic capacity of food supply and its relative surplus rate were then analyzed, according to the food demand indexes under different living standards. The results showed that the climatic potential productivity exhibited a significantly spatial pattern, characterized by higher in the north and plains than the south and mountain areas. Further, the higher potential areas were mainly concentrated in the along and north region of the Huaihe River with dominance of plenty cultivated land resources. The coordination of climate and land resources was found to favor the utilization of climatic productive potential. During the period of 1961-2013, the climatic potential productivity showed a consistent decrease trend in Anhui Province. The reduction rate is provincially averaged at about 10% in the recent 50 years. In Anhui Province, the present food consumption level belongs to the transition stage from the subsistence type to well-off type. Under the premise of fully taking advantage of climatic potential productivity, the grain yield of the whole province can well satisfy the total food demand under different living standards. Specifically, for the well-off standards, the relative surplus rate of climatic capacity decreases from northeast to southwest, however the residual space of capacity is still considerable in the most parts of the province except few urban and mountainous areas, which can well guarantee the grain self-sufficient in the future development. Overall, the plenty solar radiation, heat, water and arable land resources and their coordination contribute to the high climatic capacity in Anhui Province. While the climatic potential productivity declines mainly induced by the reduction of solar radiation, the climate capacity can ensure food security in the future well-off, society and grain production has a larger promotion space in Anhui Province.

Key words: climatic potential productivity, food security, climatic capacity, relative surplus rate, spatial and temporal variation

中图分类号: 

  • P49
[1] 谢立勇, 李悦, 徐玉秀, 等. 气候变化对农业生产与粮食安全影响的新认知[J]. 气候变化研究进展, 2014, 10(4):235-239.[XIE L Y, LI Y, XU Y X, et al. Updated understanding on the impacts of climate change on food production and food security[J]. Progressus Inquisitiones de Mutatione Climatis, 2014, 10(4):235-239.]
[2] 邓根云. 气候生产潜力的季节分配与玉米的最佳播期[J]. 气象学报, 1986, 44(2):192-198.[DENG G Y. The seasonal distribution of climatic potential productivity and the optimum seeding time of maize[J]. Acta Meteorologica Sinica, 1986, 44(2):192-198.]
[3] 丁一汇, 任国玉, 石广玉, 等. 气候变化国家评估报告(I):中国气候变化的历史和未来趋势[J]. 气候变化研究进展, 2006, 2(1):3-8.[DING Y H, REN G Y, SHI G Y, et al. National assessment report of climate change (I):climate change in China and its future trend[J]. Advances in Climate Change Research, 2006, 2(1):3-8.]
[4] 葛亚宁, 刘洛, 徐新良, 等. 近50a气候变化背景下我国玉米生产潜力时空演变特征[J]. 自然资源学报, 2015, 30(5):784-795.[GE Y N, LIU L, XU X L, et al. Temporal and spatial variations of Chinese maize production potential on the background of climate change during 1960-2010[J]. Journal of Natural Resources, 2015, 30(5):784-795.]
[5] 潘家华, 郑艳, 王建武, 等. 气候容量:适应气候变化的测度指标[J]. 中国人口·资源与环境, 2014, 24(2):1-8.[PAN J H, ZHENG Y, WANG J W, et al. Climate capacity:a measurement for adapting to climate chang[J]. China Population, Resources and Environment, 2014, 24(2):1-8.]
[6] 张强, 马芳, 王莺, 等. 浅论气候容量及其对气候安全风险管理的作用[J]. 地球科学进展, 2015, 30(6):709-714.[ZHANG Q, MA F, WANG Y, et al. A brief discussion about climatic capacity and its effect on risk management of climate safety[J]. Advances in Earth Science, 2015, 30(6):709-714.]
[7] 於琍, 卢燕宇, 黄玮, 等. 气候承载力评估的意义及基本方法[C]//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.
[8] SEIDL I, TISDELL C A. Carrying capacity reconsidered:from Malthus' population theory to cultural carrying capacity[J]. Ecological Economics, 1999, 31(3):395-408.
[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[J]. 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[J]. Agricultural Research in the Arid Areas, 2010, 28(6):253-257.]
[10] 李艳春. 宁夏干旱区气候承载力分布特征分析[J]. 干旱区资源与环境, 2010, 24(8):96-99.[LI Y C. Climate capacity distribution characteristics in Ningxia arid area[J]. Journal of Arid Land Resources and Environment, 2010, 24(8):96-99.]
[11] 付修勇, 张晶, 王景平, 等. 基于栅格的中国一季稻生产潜力研究[J]. 中国人口·资源与环境, 2008, 18(4):99-103.[FU X Y, ZHANG J, WANG J P, et al. GIS-based study on potential producticity of single-cropping rice in China[J]. China Population, Resource and Environment, 2008, 18(4):99-103.]
[12] 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[J]. 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[J]. Scientia Agricultura Sinica, 2012, 45(11):2315-2327.]
[13] 王艳君, 高超, 王安乾, 等. 中国暴雨洪涝灾害的暴露度与脆弱性时空变化特征[J]. 气候变化研究进展, 2014, 10(6):391-398.[WANG Y J, GAO C, WANG A Q, et al. Temporal and spatial variation of exposure and vulnerability of flood disaster in China[J]. Progressus Inquisitiones de Mutatione Climatis, 2014, 10(6):391-398.]
[14] 许莹, 马晓群, 吴文玉. 气候变化对安徽省主要农作物水分供需状况的影响[J]. 气候变化研究进展, 2012, 8(3):198-204.[XU Y, MA X Q, WU W Y. Impact of climate changes on water demand and supply of rice and winter wheat in Anhui Province[J]. Progressus Inquisitiones de Mutatione Climatis, 2012, 8(3):198-204.]
[15] 何彬方, 冯妍, 荀尚培, 等. 安徽省50年日照时数的变化特征及影响因素[J]. 自然资源学报, 2009, 24(7):1275-1285.[HE B F, FENG Y, XUN S P, et al. Climatic change of sunshine duration and its influencing factors over Anhui Province during the last 50 years[J]. Journal of Natural Resources, 2009, 24(7):1275-1285.]
[16] 程传周, 杨小唤, 李月娇, 等. 基于不同模型组合的山东省耕地生产潜力计算与分析[J]. 资源科学, 2010, 32(11):2165-2171.[CHENG C Z, YANG X H, LI Y J, et al. Calculation and analysis of cropland potential productivity in Shandong province with different models[J]. Resources Science, 2010, 32(11):2165-2171.]
[17] ÄNGSTRÖM A. Solar and terrestrial radiation[J]. Quarterly Journal of the Royal Meteorological Society, 1924, 50(210):121-126.
[18] 卢燕宇, 田红, 鲁俊, 等. 近50年安徽省太阳总辐射的时空变化特征[J]. 气象科技, 2016, 44(5):769-775.[LU Y Y, TIAN H, LU J, et al. Spatial-Temporal variation characteristics of gross solar radiation in Anhui province from 1961 to 2010[J]. Meteorological Science and Technology, 2016, 44(5):769-775.]
[19] 孙懿慧, 贺立源. 基于GIS的湖北省水稻生产潜力研究[J]. 长江流域资源与环境, 2012, 21(10):1209-1215.[SUN Y H, HE L Y. Study of rice potential productivity in Hubei province based on GIS[J]. Resources and Environment in the Yangtze Basin, 2012, 21(10):1209-1215.]
[20] XU C Y, GONG L B, JIANG T, et al. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment[J]. Journal of Hydrology, 2006, 327(1/2):81-93.
[21] 陈楷根. 区域环境承载力理论及其应用[D]. 福州:福建师范大学硕士学位论文, 2002.[CHEN K G. Theory of regional environmental carrying capacity and its application[D]. Fuzhou:Master Dissertation of Fujian Normal University, 2002.]
[22] 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[J]. 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[J]. Resources and Environment in the Yangtze Basin, 2016, 25(5):761-768.]
[23] 王东杰. 我国城镇不同收入阶层居民食物消费结构升级研究[D]. 北京:中国农业科学院硕士学位论文, 2012.[WANG D J. A research about food consumption structure's upgrade of China urban residents of different income households[D]. Beijing:Master Dissertation of Chinese Academy of Agricultural Sciences, 2012.]
[24] 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[J]. 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[J]. Resources and Environment in the Yangtze Basin, 2012, 21(10):1173-1178.]
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