淮河流域农业种植制度的气候风险评估
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摘要
本文应用生态适宜度理论和模糊数学方法,建立适宜度模型,并在气候适宜度的基础上,综合考虑适宜度及其概率分布,构建风险度模型,对淮河流域双季稻、水稻-冬小麦和夏玉米-冬小麦三种种植制度的气候适宜度和气候风险度进行评估。最后,结合IPCC A2气候情景下稻麦、玉麦、双季稻的气候适宜度和气候风险度的状况,对淮河流域的种植制度进行分类。
     (1)淮河流域不同种植制度的气候风险度差异明显。双季稻种植制度的气候风险度最高,区域分布由中部向东部沿海以及西部、西南部山区递增;稻麦种植制度的气候风险度较低,其空间分布主要由东部沿海向西部山区递增;玉麦种植制度的气候风险度最低,空间分布呈现出由东南沿海向西北内陆增加的趋势。
     (2)淮河流域双季稻、稻麦、玉麦三种种植制度的气候风险度都呈递增趋势,但风险度变化存在着区域差异,主要表现为东部气候风险度呈递减趋势,西部气候风险度呈递增趋势。
     (3)从时间上看,淮河流域双季稻、稻麦、玉麦三种种植制度的气候适宜度都呈下降趋势;其中,温度适宜度呈上升趋势,降水适宜度和日照适宜度呈递减趋势。从空间上看,双季稻气候适宜度强减型横贯整个流域中部,弱增型则分布在淮河流域北部和南部山区;稻麦气候适宜度强减型主要集中在流域的西部,弱增型则集中在流域的东南部;玉麦气候适宜度强减型主要集中在流域的西部山区,弱增型则集中在东北部以及东南部的平原区域。
     (4)在未来气候变化情景下,淮河流域稻麦、玉麦、双季稻的气候适宜度都有所升高,且双季稻和玉麦种植制度下的气候适宜度空间格局发生了较大的变化;三种种植制度的气候风险度都有明显的下降趋势,其中,双季稻的气候风险度下降幅度最大,玉麦的气候风险度下降幅度最小。
     (5)综合三种种植制度的气候适宜度及气候风险度可知,淮河流域北部适合发展玉麦种植制度;南部适合发展稻麦种植制度;双季稻目前气候适宜度仍然不高,风险度大,不宜大面积发展。但在未来气候情景下,随着双季稻气候风险度的大幅度下降,可以大面积推广。
Based on the eco-fitness theory and fuzzy mathematics method , this paper establishes climate suitability model; and then , under consideration of the climate suitability and its probability distribution, this paper establishes climate risk model and evaluates climate suitability and climate risk of double-crop rice, wheat-rice and wheat-corn cropping systems . Finally, this paper classify the cropping system of Huaihe Watershed by climate suitability and climate risk of wheat-rice, wheat-corn, double cropping rice under the IPCC A2 climate scenario.
     (1) The climate risk degree is significantly different in different cropping system. Double cropping rice is the highest, and the climate risk degree gradually increases from the central coast to the east and west; wheat-rice cropping system is lower and the distribution gradually increases from east coast to the western mountains; wheat-corn cropping system is the lowest and it shows an increasing trend from the southeast to the northwest coast.
     (2) The climate risk degree of cropping system in Huaihe Watershed are all increased, but the change of climate risk degree is different in spatial distribution, the eastern shows weak reduction and the Western shows increased trend.
     (3) Judging from the entire time series, the climate suitability of cropping system are gradually decreasing; which the temperature suitability rises, precipitation and sunshine suitability shows decreasing. Judging from spatial distribution, the climate suitability of double cropping rice intensively decreases across the entire watershed; wheat-rice intensively decreases in west; wheat-corn strongly decreases in the west valley.
     (4) Under the future climate scenario, the climate suitability of the double cropping rice, wheat-rice and wheat-corn double cropping system are increases at different levels in Huaihe Watershed; and the spatial distribution of climate suitability of double cropping rice and wheat-corn has changed a lot; the climate risk degree of the three kinds of cropping system has clear downward trend, in which the climate risk of double cropping rice drops sharply, and wheat-corn drops in minimum.
     (5) Compositing the climate suitability and climate risk degree of three cropping system, the results showed that the wheat-corn cropping system is suitable to the northern; the wheat-rice cropping system is suitable to the Southern. Nowadays the double cropping rice shows low climate suitability and high climate risk degree, so it is not suitable to development in most area in Huaihe Watershed. Through studied on the future climate change scenario, it shows that the climate risk of double cropping rice will descend sharply, it can be promote to planting in most area.
引文
[1] IPCC.Climate Change 2007:Impacts,Adaptation and Vulner ability .Fourth assessment report of Working GroupⅡ[J].eds.Cambridge,UK:Cambridge University Press.2007.
    [2]王馥棠.近十年来我国气候变暖影响研究的若干进展[J].应用气象学报,2002,13(6):755-766.
    [3]於利,曹明奎,李克让.全球气候变化背景下生态系统的脆弱性评价[J].地理科学进展.2005,24(1):61-69.
    [4] IPCC.Climate Change 2001:Impacts,Adaptation and Vulnerability.Third assessment report of Working GroupⅡ.eds.Cambridge,UK:Cambridge University Press.2001.
    [5]薛昌颖,霍治国,李世奎,等.华北北部冬小麦干旱和产量灾损的风险评估[J].自然灾害学报,2003,12(1):131-139.
    [6]马建华,千怀遂,管华,等.秦岭黄淮平原交界自然地理若干特征分析[J].地理科学,2004,24(6):666-743.
    [7]杨建平,丁永建,陈任升,等.亚洲季风与中国干湿、农牧气候界线之关系[J].地理科学,2005,25(4):441-447.
    [8]刘新立.区域水灾风险评估的理论与实践[M].北京:北京大学出版社,2005.
    [9]侯向阳.北亚热带过渡带的变迁及其农业景观生态意义[J].中国农史,2000,19(2):86-92.
    [10]姜会飞,霍治国,潘学标,等.中国小麦生产的区域比较气候风险研究[J].自然灾害学报,2006,15(3):58-65.
    [11] Svirezhev,Yu.M.etal.Climate Impact on Social System:the Risk Assessment Approac- h.Environment Modeling and Assessment[J],1999,(4):287-294.
    [12]王素艳.四川省中稻低温阴雨冷害风险评估方法研究[J].应用基础与工程科学学报,2006,14(3):48-55.
    [13] Zhang Jiquan. Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China[J]. Agriculture,Ecosystems and Environment,2004,102:133–153.
    [14]王晓红,乔云峰,沈荣开,等.灌区干旱风险评估模型研究[J].水科学进展,2004,15(1):77-81.
    [15]李世奎,霍治国,王素艳,等.农业气象灾害风险评估体系及模型研究[J].自然灾害学报, 2004,13(1):77-87.
    [16]王春乙,王石立,霍治国,等.近10年来中国主要农业气象灾害监测预警与评估技术研究进展[J].气象学报,2005,63(5):659-671.
    [17] Qian Huaisui,Ren Yuyu,Li Mingxia.Changes of crop climate risk degree:a case study on cotton in Henan Province[J].Journal of Geographical Sciences,2006,3(16):355-362.
    [18]段海来,千怀遂.华南地区龙眼种植的温度风险评估[J].地理研究,2009,4(28):1095-1104.
    [19]林忠辉,莫兴国,项月琴.作物生长模型研究综述[J].作物学报,2003,29(5):750-758.
    [20]孙宁,冯利平.利用冬小麦作物生长模型对产量气候风险的评估[J].农业工程学报,2005,21(2):106-110.
    [21]托丽娜,潘学标,廖要明,等.新疆棉花生产气候风险评估的模型方法初探[J].棉花学报,2005,17(2):122-124.
    [22]中国种植制度气候区划协作组.中国农作物种植制度气候区划[J].耕作与栽培,1986,1-18.
    [23]中国农业科学院《中国农作物种植区划论文集》编写组.中国农作物种植区划论文集[M],北京:科学出版社,1987.
    [24]宋志林.烟草种植区划[M],山东:山东科学技术出版社,1989.
    [25] Wang F T.Impact of climate change on cropping system and itsimplication for agriculture in China [J].Acta Meteorological Sinica,1997,11(4):407-415.
    [26] Francesco N T, Marcello D, Rosenzweig C,Claudio O S.Effects of climate change and elevated CO2 on cropping systems: Model predictions at two Italian locations[J]. European Journal of Agronomy,2000,13:179-189.
    [27]张厚瑄.中国种植制度对全球气候变化响应的有关问题Ⅰ.气候变化对我国种植制度的影响[J].中国农业气象,2000,21(1):9-13.
    [28]程延年.气候变化对北京地区小麦玉米两熟种植制度的影响[J].华北农学报,1994,9(1):18-24.
    [29]陈惠,林添忠,蔡文华.气候变化对福建粮食种植制度的影响[J].福建农业科技,1999,1:3-4.
    [30]李萍萍.苏南地区麦玉米稻三熟制的生态经济分析[D].南京农业大学博士学位论文,1994.
    [31]郝志新,郑景云,陶向新.气候增暖背景下的冬小麦种植北界研究-以辽宁省为例[J].地理科学进展,2001,3(20):254-262.
    [32]高志强,苗果园,邓志锋.全球气候变化与冬麦北移研究[J].中国农业科技导报,2006,6(1):9-12.
    [33]杨晓光,刘晓娟,陈阜.全球气候变暖对中国种植制度可能影响I.气候变暖对中国种植制度北界和粮食产量可能影响的分析[J].中国农业科学,2010,43(2):329-336.
    [34]李自珍,李文龙.黄土高原半干旱农田水肥条件对作物生态适宜度和产量的影响[J].西北植物学报,2003,23(1):28-33.
    [35]赵峰,千怀遂,焦士兴.农作物气候适宜度模型研究.资源科学[J],2003,25(6):77-82.
    [36]赵峰,千怀遂,焦士兴.农作物气候适宜度模型研究—以河南省冬小麦为例[J].资源科学,2003,25(6):77-82.
    [37]任玉玉,千怀遂,刘青青.河南省棉花气候适宜度分析[J].农业现代研究,2004,25(3):231-235.
    [38]刘青春,千怀遂,任玉玉,等.河南省棉花的温度适宜性及其变化趋势分析[J].资源科学,2004,26(4):51-56.
    [39]千怀遂,焦士兴,赵峰.河南省冬小麦气候适宜性变化研究[J].生态学杂志,2005,24(5):503-507.
    [40]马树庆.吉林省农业气候研究[M].北京:气象出版社,1994,32-178.
    [41]俞芬,千怀遂,段海来.淮河流域水稻的气候适宜度及其变化趋势分析[J].地理科学,2008,28(4):537-542.
    [42]段海来,千怀遂,俞芬,等.华南地区龙眼的温度适宜性及其变化趋势[J].生态学报,2008,28(11):5303-5313.
    [43]梁光商.水稻生态学[M].北京:农业出版社,1983,173-192.
    [44]《气候变化与作物产量》编写组.气候变化与作物产量[M].北京:中国农业科学技术出版社,1992,135-135.
    [45]俞芬.基于生态适宜度理论的淮河流域水水稻气候风险评估[D].广州大学硕士毕业论文,2008,9-9.
    [46]宋雪雷.豫北灌区冬小麦一夏玉米一体化农田耗水规律与灌水效应研究[D].河北农业大学硕士毕业论文,2007:10-30.
    [47]黄璜.中国红黄壤地区作物生产的气候生态适应性研究[J].自然资源学报,1996,11(4):340-345.
    [48]陈怀亮,张雪芬.玉米生产农业气象服务指南[M].气象出版社,1999:50-160.
    [49]蒋定生.渭北平原降水对农作物生长适宜度影响的模糊分析[J].中科院水利部西北水土保持研究集刊,1992,16:23-25.
    [50]方德义,许传祯,朱庆生,等.实用水稻栽培学[M].上海:上海科学技术出版社,1981,238-242.
    [51] http://www.ahnw.gov.cn/2006nykj/iframe.asp?c=4&ntype=1.
    [52] Camilo L.Medina,Rogéria P.Souza, Eduardo C.Machado,et al. Photosynthetic response of citrus grown under reflective aluminized polypropylene shading nets[J]. Scientia Horticulturae, 2002, 96:115-125.
    [53]鲍江峰.纽荷尔脐橙和湖北省主要柑橘品种果实品质的研究与区划[D].华中农业大学博士学位论文,2005.
    [54]黄璜.中国红黄壤地区作物生产的气候生态适应性研究[J].自然资源学报,1996,11(4):340-345.
    [55]峁智,崔远来,李远华.水稻水分生产函数及其时空变异理论与应用[M].北京:科学出版社, 2003,32-34.
    [56]邓国,王昂生,李世奎,等.风险分析理论及方法在粮食生产中的应用初探[J].自然资源学报,2001,16(3):221-226.
    [57]汤剑平,陈星,赵鸣,等.IPCC A2情景下中国区域气候变化的数值模拟[J].气象学报,2008,66(1):13-25.

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