全球变化下作物物候研究进展

doi:10.11821/dlxb202001002

地理学报 ›› 2020, Vol. 75 ›› Issue (1): 14-24.doi: 10.11821/dlxb202001002

全球变化下作物物候研究进展

刘玉洁^1,², 葛全胜^1,², 戴君虎^1,²

^1. 中国科学院地理科学与资源研究所中国科学院陆地表层格局与模拟重点实验室,北京 100101
^2. 中国科学院大学,北京 100049

收稿日期:2018-11-05 修回日期:2019-10-09 出版日期:2020-01-25 发布日期:2020-03-25
作者简介:刘玉洁(1982-), 女, 博士, 副研究员, 主要从事气候变化影响与适应研究。E-mail: liuyujie@igsnrr.ac.cn
基金资助:
国家自然科学基金项目(41671037);国家重点研发计划(2018YFA0606102);中国科学院青年创新促进会会员项目(2016049);中国科学院地理科学与资源研究所“可桢杰出青年学者计划”项目(2017RC101);中国科学院前沿科学重点研究项目(QYZDB-SSW-DQC005)

Research progress in crop phenology under global climate change

LIU Yujie^1,², GE Quansheng^1,², DAI Junhu^1,²

^1. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
^2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2018-11-05 Revised:2019-10-09 Online:2020-01-25 Published:2020-03-25
Supported by:
National Natural Science Foundation of China(41671037);National Key R&D Program of China(2018YFA0606102);The Youth Innovation Promotion Association of CAS(2016049);The Program for "Kezhen" Excellent Talents in Institute of Geographic Sciences and Natural Resources Research, CAS(2017RC101);Strategic Priority Research Program of the CAS(QYZDB-SSW-DQC005)

摘要/Abstract

摘要：

作物物候是农作物重要的植物属性,不仅反映作物的生长发育状况,其变化也影响作物产量,是一种能够指示气候变化的综合响应指标。以气温升高为主要标志的全球气候变化对作物物候产生了重要影响,开展全球气候变化下作物物候变化特征及其影响机制研究对于揭示全球变化对作物生长发育过程影响及其产量形成机制具有重要的理论意义和实践价值。目前,作物物候变化及其影响因素是国内外研究的焦点和热点问题,前人已开展了大量而卓有成效的研究工作。本文侧重介绍全球气候变化下作物物候变化的主要研究进展,包括作物物候变化的驱动因子及其影响机制和作物物候主要研究方法,并探讨未来研究仍亟待解决的关键科学问题,以期为深入认识全球气候变化对农业物候的影响机理以及指导区域农业生产实践提供理论依据。

关键词: 全球变化, 作物物候, 驱动因子, 响应, 研究进展

Abstract:

As one of the most important plant traits of crops, crop phenology reflects the characteristics of crop growth and development; its variation also affects crop production. Therefore, crop phenology is a reliable and comprehensive biological indicator reflecting global climate change. Global climate change, marked by rising temperatures, has exerted significant impacts on crop phenology. Under the background of global climate change, revealing the mechanism of global climate change impacts on crop phenology and growth as well as the formation of crop yield is of theoretical and practical significance. At present, crop phenology shifts and their influencing factors have become a hot research topic and an important international issue, thus a large number of studies have been carried out, and achieved rich and effective results. In this paper, we mainly focus on the research progress of crop phenological changes under the background of climate change, including the driving factors and their influencing mechanisms of crop phenological changes as well as methods of research on crop phenology, and the key scientific issues which need to be solved in future study are also discussed. The conclusions of this research could provide a theoretical basis for understanding the impacts and mechanisms of global climate change on crop phenology and for guiding regional agricultural production practices.

Key words: global climate change, crop phenology, driving factors, response, progress

刘玉洁, 葛全胜, 戴君虎. 全球变化下作物物候研究进展[J]. 地理学报, 2020, 75(1): 14-24.

LIU Yujie, GE Quansheng, DAI Junhu. Research progress in crop phenology under global climate change[J]. Acta Geographica Sinica, 2020, 75(1): 14-24.

参考文献 86

[1]	Zhu Kezhen, Wan Minwei. Phenology. Beijing: Science Press, 1973.
	[ 竺可桢, 宛敏渭 . 物候学. 北京: 科学出版社, 1973.]
[2]	Helmut L P D . Phenology and seasonality modeling. Ecological Studies, 1975,120(6):461.
[3]	IPCC. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, USA: Cambridge University Press, 2014: 1132.
[4]	Liu Y J, Chen Q M, Ge Q S , et al. Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China. Agricultural and Forest Meteorology, 2018,248:518-526.
[5]	Liu Y J, Chen Q M, Ge Q S , et al. Effects of climate change and agronomic practice on changes in wheat phenology. Climatic Change, 2018,150(3/4):1-15.
[6]	Siebert S, Ewert F . Spatio-temporal patterns of phenological development in Germany in relation to temperature and day length. Agricultural and Forest Meteorology, 2012,152(6):44-57.
[7]	Larson C . Losing arable land, China faces stark choice: Adapt or go hungry. Science, 2013,339(6120):644-645.
[8]	Li Z G, Yang P, Tang H J , et al. Response of maize phenology to climate warming in Northeast China between 1990 and 2012. Regional Environmental Change, 2014,14(1):39-48.
[9]	Sacks W J, Kucharik C J . Crop management and phenology trends in the U.S. Corn Belt: Impacts on yields, evapotranspiration and energy balance. Agricultural and Forest Meteorology, 2011,151(7):882-894.
[10]	Xiao Dengpan . Changes of crop phenology in Inner Mongolia under the background of climate warming. Chinese Agricultural Science Bulletin, 2015,31(26):216-221.
	[ 肖登攀 . 气候变暖背景下内蒙古作物物候变化研究. 中国农学通报, 2015,31(26):216-221.]
[11]	Xiao Dengpan, Qi Yongqing, Wang Rende , et al. Changes in phenology and climatic conditions of wheat and maize in Xinjiang during 1981-2009. Agricultural Research in the Arid Areas, 2015,33(6):189-194, 202.
	[ 肖登攀, 齐永青, 王仁德 , 等. 1981—2009年新疆小麦和玉米物候期与气候条件变化研究. 干旱地区农业研究. 2015,33(6):189-194, 202.]
[12]	Li Zhengguo, Yang Peng, Tang Huajun , et al. Trends of spring maize phenophases and spatio-temporal responses to temperature in three provinces of Northeast China during the past 20 years. Acta Ecologica Sinica, 2013,33(18):5818-5827.
	[ 李正国, 杨鹏, 唐华俊 , 等. 近20年来东北三省春玉米物候期变化趋势及其对温度的时空响应. 生态学报, 2013,33(18):5818-5827.]
[13]	Ma Shuqing, Wang Qi, Lv Houquan , et al. Trends of spring maize phenophases and spatio-temporal responses to temperature in three provinces of Northeast China during the past 20 years. Acta Ecologica Sinica, 2012,32(11):3378-3385.
	[ 马树庆, 王琪, 吕厚荃 , 等. 水分和温度对春玉米出苗速度和出苗率的影响. 生态学报, 2012,32(11):3378-3385.]
[14]	Yang Xiaoli, Liu Gengshan, Yang Xingguo . The sensitivity of main crops to water stress in Loess Plateau region in Gansu. Agricultural Research in the Arid Areas, 2006,24(4):90-93.
	[ 杨小利, 刘庚山, 杨兴国 . 甘肃黄土高原主要农作物水分胁迫敏感性. 干旱地区农业研究, 2006,24(4):90-93.]
[15]	Porter J R, Semenov M A . Crop responses to climatic variation. Philosophical Transactions of the Royal Society of London, 2005,360(1463):2021.
[16]	Wang Zhan . Study on simulation model of developmental stages for major crops in Henan Province[D]. Nanjing: Nanjing University of Information Science and Technology, 2012.
	[ 王展 . 河南省主要作物生育期模拟研究[D]. 南京: 南京信息工程大学, 2012.]
[17]	Liu Y J, Chen Q M, Ge Q S , et al. Spatiotemporal differentiation of changes in wheat phenology in China under climate change from 1981 to 2010. Science China: Earth Sciences, 2018,61(8):1088-1097.
[18]	IPCC. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, USA: Cambridge University Press, 2013.
[19]	Zhang T Y, Huang Y, Yang X . Climate warming over the past three decades has shortened rice growth duration in China and cultivar shifts have further accelerated the process for late rice. Global Change Biology, 2013,19(2):563-570.
[20]	Tao F L, Zhang Z, Xiao D P , et al. Responses of wheat growth and yield to climate change in different climate zones of China, 1981-2009. Agricultural and Forest Meteorology, 2014, 189/190(3):91-104.
[21]	Li De . Variation characteristics of winter wheat phenophases in Huaibei Plain in recent 30 years. Meteorological Science and Technology, 2009,37(5):607-612.
	[ 李德 . 近30年淮北平原冬小麦物候期演变特征. 气象科技, 2009,37(5):607-612.]
[22]	Estrella N, Sparks T H, Menzel A . Trends and temperature response in the phenology of crops in Germany. Global Change Biology, 2007,13(8):1737-1747.
[23]	Sadras V O, Monzon J P . Modelled wheat phenology captures rising temperature trends: Shortened time to flowering and maturity in Australia and Argentina. Field Crops Research, 2006,99(2/3):136-146.
[24]	Fujisawa M, Kobayashi K . Apple (Malus pumila var. domestica) phenology is advancing due to rising air temperature in northern Japan. Global Change Biology, 2010,16(10):2651-2660.
[25]	Li Zhengguo, Yang Peng, Tang Huajun , et al. Trend analysis of typical phenophases of major crops under climate change in the three provinces of Northeast China. Scientia Agricultura Sinica, 2011,44(20):4180-4189.
	[ 李正国, 杨鹏, 唐华俊 , 等. 气候变化背景下东北三省主要作物典型物候期变化趋势分析. 中国农业科学, 2011,44(20):4180-4189.]
[26]	Mo F, Sun M, Liu X Y , et al. Phenological responses of spring wheat and maize to changes in crop management and rising temperatures from 1992 to 2013 across the Loess Plateau. Field Crop Research, 2016,196:337-347.
[27]	Peng Weiying, Yin Shuyan, Bao Xiaojuan , et al. Impacts of climate change on cotton phenophase of a county: Take Dali in Shaanxi Province for example. Agricultural Research in the Arid Areas, 2012,30(2):154-161.
	[ 彭维英, 殷淑燕, 鲍小娟 , 等. 气候变化对县域棉花物候期影响: 以陕西大荔为例. 干旱地区农业研究, 2012,30(2):154-161.]
[28]	Guo Haiying, Zhao Jianping, Suo Anning , et al. Response of agricultural phenospectrum to glabal climate change in Loess Plateau of east Gansu province. Journal of Natural Resources, 2006,21(4):608-614.
	[ 郭海英, 赵建萍, 索安宁 , 等. 陇东黄土高原农业物候对全球气候变化的响应. 自然资源学报, 2006,21(4):608-614.]
[29]	Xiao D P, Tao F L, Liu Y J , et al. Observed changes in winter wheat phenology in the North China Plain for 1981-2009. International Journal of Biometeorology, 2013,57(2):275-285.
[30]	He L, Asseng S, Zhao G , et al. Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China. Agricultural and Forest Meteorology, 2015,200(4):135-143.
[31]	Hu Q, Weiss A, Song F , et al. Earlier winter wheat heading dates and warmer spring in the U.S. Great Plains. Agricultural and Forest Meteorology, 2005,135(1-4):284-290.
[32]	Rezaei E E, Siebert S, Ewert F . Intensity of heat stress in winter wheat-phenology compensates for the adverse effect of global warming. Environmental Research Letters, 2015,10(2):024012.
[33]	Ahmad S, Abbas Q, Abbas G , et al. Quantification of climate warming and crop management impacts on cotton phenology. Plants, 2017,6(1):7-22.
[34]	Wang Z, Chen J, Li Y , et al. Effect of climate change and cultivar on summer maize phenology. International Journal of Plant Production, 2016,10(4):509-525.
[35]	Zhang L, Zhu L, Yu M , et al. Warming decreases photosynthates and yield of soybean [Glycine max (L.) Merrill] in the North China Plain. The Crop Journal, 2016,4(2):139-146.
[36]	Therond O, Hengsdijk H, Casellas E , et al. Using a cropping system model at regional scale: Low-data approaches for crop management information and model calibration. Agriculture Ecosystems and Environment, 2011,142(1):85-94.
[37]	Zheng H F, Chen L D, Han X Z , et al. Classification and regression tree (CART) for analysis of soybean yield variability among fields in Northeast China: the importance of phosphorus application rates under drought conditions. Agriculture Ecosystems and Environment, 2009,132(1/2):98-105.
[38]	Anandhi A, Hutchinson S, Harrington J , et al. Changes in spatial and temporal trends in wet, dry, warm and cold spell length or duration indices in Kansas, USA. International Journal of Climatology, 2016,36(12):4085-4101.
[39]	Lobell D B, Sibley A, Ortiz-Monasterio J I . Extreme heat effects on wheat senescence in India. Nature Climate Change, 2012,2(3):186-189.
[40]	Wang H L, Gan Y T, Wang R Y , et al. Phenological trends in winter wheat and spring cotton in response to climate changes in northwest China. Agricultural and Forest Meteorology, 2008,148(8):1242-1251.
[41]	Meng Lin, Liu Xinjian, Wu Dingrong , et al. Responses of summer maize main phenology to climate change in the North China Plain. Chinese Journal of Agrometeorology, 2015,36(4):375-382.
	[ 孟林, 刘新建, 邬定荣 , 等. 华北平原夏玉米主要生育期对气候变化的响应. 中国农业气象, 2015,36(4):375-382.]
[42]	Liu Y J, Qin Y, Ge Q S , et al. Reponses and sensitivities of maize phenology to climate change from 1981 to 2009 in Henan Province, China. Journal of Geographical Sciences, 2017,27(9):1072-1084.
[43]	Craufurd P Q, Wheeler T R . Climate change and the flowering time of annual crops. Journal of Experimental Botany, 2009,60(9):2529-2539.
[44]	Carberry P S, Ranganathan R, Reddy L , et al. Predicting growth and development of pigeonpea: Flowering response to photoperiod. Field Crops Research, 2001,69:151-162.
[45]	Tao F L, Zhang S, Zhang Z . Spatiotemporal changes of wheat phenology in China under the effects of temperature, day length and cultivar thermal characteristics. European Journal of Agronomy, 2012,43:201-212.
[46]	Guo L, Hu B, Dai J , et al. Response of chestnut flowering in Beijing to photosynthetically active radiation variation and change in recent fifty years. Plant Diversity and Resources, 2014(4):523-532.
[47]	Setiyono T D, Weiss A, Specht J , et al. Understanding and modeling the effect of temperature and day length on soybean phenology under high-yield conditions. Field Crops Research, 2007,100(2/3):257-271.
[48]	Allen R G, Pereira L S, Raes D , et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements. FAO Irrigation and Drainage Paper 56. FAO, 1998: 56.
[49]	Bao Xiaojuan . Impacts of climate change on economic crop phenology in Shaanxi Province [D]. Xi'an: Shaanxi Normal University, 2012.
	[ 鲍小娟 . 陕西省气候变化对经济作物物候的影响: 以苹果、梨、棉花为例[D]. 西安: 陕西师范大学, 2012.]
[50]	Liang Chansheng, Yin Shuyan, Li Meirong , et al. Variation of Climate and its impact on phonological period and growth of Pyrus bretschneideri Rehd in Binxian of Shaanxi Province in last 53 years. Agricultural Research in the Arid Areas, 2012,30(4):190-194.
	[ 梁灿盛, 殷淑燕, 李美荣 , 等. 陕西省彬县近53年来气温及降水变化对白梨物候的影响. 干旱地区农业研究, 2012,30(4):190-194.]
[51]	Challinor A J, Simelton E S, Fraser E D G , et al. Increased crop failure due to climate change: Assessing adaptation options using models and socio-economic data for wheat in China. Environmental Research Letters, 2010,5(3):034012.
[52]	Tester M, Langridge P . Breeding technologies to increase crop production in a changing world. Science, 2010,327(5967):818-822.
[53]	Wang J, Wang E, Yang X , et al. Increased yield potential of wheat-maize cropping system in the North China Plain by climate change adaptation. Climatic Change, 2012,113(3):825-840.
[54]	Liu B H . Spatiotemporal change in China's climatic growing season: 1955-2000. Climatic Change, 2010,99(1):93-118.
[55]	Chen C, Baethgen W E, Wang E , et al. Characterizing spatial and temporal variability of crop yield caused by climate and irrigation in the North China Plain. Theoretical and Applied Climatology, 2011,106(3):365-381.
[56]	Sacks W J, Deryng D, Foley J A , et al. Crop planting dates: An analysis of global patterns. Global Ecology and Biogeography, 2010,19(5):607-620.
[57]	Bolson J, Martinez C, Breuer N , et al. Climate information use among Southeast US water managers: Beyond barriers and toward opportunities. Regional Environmental Change, 2013,13:141-151.
[58]	Rost S, Gerten D, Hoff H , et al. Global potential to increase crop production through water management in rainfed agriculture. Environmental Research Letters, 2009,4(4):044002.
[59]	Yang Hongbin, Xu Chengzhong, Li Chunguang , et al. Growth and required accumulated temperature of winter wheat under different sowing time. Chinese Journal of Agometeorology, 2009,30(2):201-203.
	[ 杨洪宾, 徐成忠, 李春光 , 等. 播期对冬小麦生长及所需积温的影响. 中国农业气象, 2009,30(2):201-203.]
[60]	Moradi R, Koocheki A, Mahallati M N , et al. Adaptation strategies for maize cultivation under climate change in Iran: Irrigation and planting date management. Mitigation and Adaptation Strategies for Global Change, 2013,18(2):265-284.
[61]	Xiao D P, Tao F L . Contributions of cultivars, management and climate change to winter wheat yield in the North China Plain in the past three decades. European Journal of Agronomy, 2014,52:112-122.
[62]	Li Z T, Yang P, Tang H J , et al. Response of maize phenology to climate warming in Northeast China between 1990 and 2012. Regional Environmental Change, 2014,14(1):39-48.
[63]	Ceccarelli S, Grando S, Maatougui M , et al. Plant breeding and climate changes. Journal of Agricultural Science, 2010,148:627-637.
[64]	Zhao J, Yang X G, Dai S W , et al. Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. European Journal of Agronomy, 2015,67:12-19.
[65]	Sun Z, Jia S F, Lv A F , et al. Impacts of climate change on growth period and planting boundaries of spring wheat in China under RCP4.5 Scenario. Journal of Resources and Ecology, 2016,7(1):1-11.
[66]	Karlsen S R, Høgda K A, Wielgolaski F E , et al. Growing-season trends in Fennoscandia 1982-2006, determined from satellite and phenology data. Climate Research, 2009,39(3):275-286.
[67]	Chen Xiaoqiu, Wang Linhai . Research progress in remote sensing phenology. Progress in Geographical Sciences, 2009,28(1):33-40.
	[ 陈效逑, 王林海 . 遥感物候学研究进展. 地理科学进展, 2009,28(1):33-40.]
[68]	Tang Huajun, Wu Wenbin, Yang Peng , et al. Recent progresses in monitoring crop spatial patterns by using remote sensing technologies. Scientia Agricultura Sinica, 2010,43(14):2879-2888.
	[ 唐华俊, 吴文斌, 杨鹏 , 等. 农作物空间格局遥感监测研究进展. 中国农业科学, 2010,43(14):2879-2888.]
[69]	Zhang Jiahua, Li Li, Yao Fengmei . Progress in retrieving vegetation water content under different vegetation coverage condition based on remote sensing spectral information. Spectroscopy and Spectral Analysis, 2010,30(6):1638-1642.
	[ 张佳华, 李莉, 姚凤梅 . 遥感光谱信息提取不同覆盖下植被水分信号的研究进展. 光谱学与光谱分析, 2010,30(6):1638-1642.]
[70]	Shimono H . Earlier rice phenology as a result of climate change can increase the risk of cold damage during reproductive growth in northern Japan. Agriculture Ecosystems and Environment, 2011,144(1):201-207.
[71]	Xu Yanyan, Zhang Jiahua, Yang Limin . Detecting major phenological stages of rice using MODIS-EVI data and Symlet11 wavelet in Northeast China. Acta Ecologica Sinica, 2012,32(7):2091-2098.
	[ 徐岩岩, 张佳华, Yang Limin . 基于MODIS-EVI数据和Symlet11小波识别东北地区水稻主要物候期. 生态学报, 2012,32(7):2091-2098.]
[72]	Yang Lin, Gao Ping, Ju Weimin . Detecting phenophases of winter wheat based on MODIS NDVI data in Jiangsu Province. Jiangsu Agricultural Sciences, 2016(1):315-320.
	[ 杨琳, 高苹, 居为民 . 基于MODIS NDVI数据的江苏省冬小麦物候期提取. 江苏农业科学, 2016(1):315-320.]
[73]	Li Zhengguo, Tang Huajun, Yang Peng , et al. Progress in remote sensing of vegetation phenology and its application in agriculture. Chinese Journal of Agricultural Resources and Regional Planning, 2012,33(5):20-28.
	[ 李正国, 唐华俊, 杨鹏 , 等. 植被物候特征的遥感提取与农业应用综述. 中国农业资源与区划, 2012,33(5):20-28.]
[74]	Guo L, An N, Wang K . Reconciling the discrepancy in ground- and satellite-observed trends in the spring phenology of winter wheat in China from 1993 to 2008. Journal of Geophysical Research: Atmospheres, 2016,121(3):1027-1042.
[75]	Song Xiaoyu, Wang Jihua, Yan Guangjian , et al. Winter wheat growth spatial variation study based on temporal airborne high-spectrum images. Spectroscopy and Spectral Analysis, 2010,30(7):1820-1824.
	[ 宋晓宇, 王纪华, 阎广建 , 等. 基于多时相航空高光谱遥感影像的冬小麦长势空间变异研究. 光谱学与光谱分析, 2010,30(7):1820-1824.]
[76]	Tong Qingxi Zhang bing Zhang Lifu . Current progress of hyperspectral remote sensing in China. Journal of Remote Sensing, 2016,20(5):689-707.
	[ 童庆禧, 张兵, 张立福 . 中国高光谱遥感的前沿发展. 遥感学报, 2016,20(5):689-707.]
[77]	Qi Yaqin, Lv Xin, Chen Guanwen , et al. Research of cotton canopy characteristic information by hyperspectral remote sensing data. Cotton Science, 2011,23(2):167-171.
	[ 祁亚琴, 吕新, 陈冠文 , 等. 基于高光谱数据提取棉花冠层特征信息的研究. 棉花学报, 2011,23(2):167-171.]
[78]	Wu Qiong, Qi Bo, Zhao Tuanjie , et al. A tentative study on utilization of canopy hyperspectral reflectance to estimate canopy growth and seed yield in soybean. Acta Agronomica Sinica, 2013,39(2):309-318.
	[ 吴琼, 齐波, 赵团结 , 等. 高光谱遥感估测大豆冠层生长和籽粒产量的探讨. 作物学报, 2013,39(2):309-318.]
[79]	Supit I, Hooijer A A, van Diepen C A . System Description of the WOFOST 6.0 Crop simulation model implemented in CGMS, Vol. 1: Theory and algorithms. Luxembourg: Joint Research Centre of the Commission of the European Communities, 1994.
[80]	Jones J W, Hoogenboom G, Porter C H , et al. The DSSAT cropping system model. European Journal of Agronomy, 2003,18(3/4):235-265.
[81]	McCown R L, Hammer G L, Hargreaves J N G , et al. APSIM: A novel software system for model development, model testing and simulation in agricultural systems research. Agricultural Systems, 1996,50(3):255-271.
[82]	Xiong Wei, Lin Erda, Yang Jie , et al. Comparion of two calibration approaches for regional simulation of crop model. Acta Ecologica Sinica, 2008,28(5):2140-2147.
	[ 熊伟, 林而达, 杨婕 , 等. 作物模型区域应用两种参数校准方法的比较. 生态学报, 2008,28(5):2140-2147.]
[83]	Liu Yujie, Tao Fulu . Probabilistic change of wheat productivity and water use in china for global mean temperature changes of 1, 2, and 3 ℃. Journal of Applied Meteorology and Climatology, 2013,52(1):114-129.
[84]	Zhang T, Zhu J, Yang X . Non-stationary thermal time accumulation reduces the predictability of climate change effects on agriculture. Agricultural and Forest Meteorology, 2008,148(10):1412-1418.
[85]	Andrej C, Zalika Č, Lučka K B , et al. The simulation of phenological development in dynamic crop model: The Bayesian comparison of different methods. Agricultural and Forest Meteorology, 2011,151(1):101-115.
[86]	Lobell D B, Burke M B . On the use of statistical models to predict crop yield responses to climate change. Agricultural and Forest Meteorology, 2010,150(11):1443-1452.

全球变化下作物物候研究进展

Research progress in crop phenology under global climate change

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