中国北方地区四种熟型藜属杂草始花期的模拟

doi:10.11733/j.issn.1007-0435.2024.06.023

草地学报 ›› 2024, Vol. 32 ›› Issue (6): 1872-1881.DOI: 10.11733/j.issn.1007-0435.2024.06.023

• 研究论文 • 上一篇

中国北方地区四种熟型藜属杂草始花期的模拟

郭家驹^1,2, 胡梦琪^1,2, 张琳晗^1,2, 郭博雅^1,2, 祝令帅^1,2, 刘冬^1,2, 王雨欣^1,2, 林楠³, 李秋月⁴, 徐琳^1,2

1. 中国农业大学资源与环境学院, 北京 100193;
2. 中国气象局-中国农业大学农业应对气候变化联合实验室, 北京 100193;
3. 华风气象传媒集团有限责任公司, 北京 100081;
4. 北京市气候中心, 北京 100089

收稿日期:2023-12-11 修回日期:2024-03-02 发布日期:2024-06-29
通讯作者: 徐琳,E-mail:linxu5048@cau.edu.cn
作者简介:郭家驹(2002-)，男，汉族，广东东莞人，本科生，主要从事气候变化与植物物候研究，E-mail：guojiaju202306@163.com
基金资助:
国家重点研发计划项目(2019YFA0607402)；国家重点研发计划项目(2018YFA0606102)资助

Simulation of the Onset of Flowering of Four Ripening Type of Chenopodium Weeds in Northern China

GUO Jia-ju^1,2, HU Meng-qi^1,2, ZHANG Lin-han^1,2, GUO Bo-ya^1,2, ZHU Lin-shuai^1,2, LIU don^1,2, WANG Yu-xin^1,2, LIN Nan³, LI Qiu-yue⁴, XU Lin^1,2

1. College of Resources and Environment Sciences, China Agricultural University, Beijing 100193, China;
2. CMA-CAU Joint Laboratory of Agriculture Addressing Climate Change, Beijing 100193, China;
3. Huafeng Meteorological Media Group, Beijing 100081, China;
4. Beijing Municipal Climate Centre, Beijing 100089, China

Received:2023-12-11 Revised:2024-03-02 Published:2024-06-29

摘要/Abstract

摘要： 藜属(Chenopodium)草本植物是我国常见杂草，其花粉量大，持续时间长，致敏性强，对大气环境质量和人类健康都有一定危害，尤其在气候变化和退耕还林还草背景下，致敏风险增加。为精准预报藜属杂草始花期，本文基于中国北方地区1981—2018年52个站点的藜属杂草始花期实测数据，构建了5种基于逐日气温、降水、光周期序列驱动的物候过程模型，并进行了参数率定和优选。结果表明，温度是主导始花期的环境因子，光周期也起着重要的调控作用，而冷激对4种熟型藜属杂草始花期的影响并不显著。此外在干旱区考虑降水因子进行藜属杂草始花期预报是有必要的，干旱会延迟藜属杂草始花期，而降水则能起到一定的促进作用。本研究可作为我国北方地区藜属杂草花粉花期预报的辅助手段，为防治藜属杂草花粉过敏提供帮助。

关键词: 藜属, 花期预报, 物候模型, 干旱, 光周期

Abstract: Herbaceous plants of the genus Chenopodium are common weeds in China,characterized by their high pollen production,prolonged dispersal period,and strong allergenicity,which pose risks to atmospheric environmental quality and human health. Especially under the context of climate change and policies of converting farmland back to forest and grassland,the risk of allergies increases. To accurately forecast the onset of flowering of Chenopodium weeds,this study utilized flowering initiation data from 52 stations across Northern China from 1981 to 2018. It constructed five phenological process models driven by daily sequences of temperature,precipitation,and photoperiod,with subsequent calibration and selection of parameters. The results showed that temperature was the dominant environmental factor to influence the onset of flowering,and photoperiod also played a significant regulatory role,while the impact of chilling on the flowering period of four types of mature Chenopodium weeds was not significant. Moreover,in arid regions,it was necessary to consider precipitation factors in forecasting the onset of flowering for Chenopodium weeds,as drought conditions tended to delay the flowering period,whereas precipitation had a facilitating effect. This research serves as a supplementary tool for forecasting the pollen season of Chenopodium weeds in Northern China,aiding in the prevention and treatment of allergies caused by Chenopodium pollen.

Key words: Chenopodium, Flowering forecast, Phenological models, Drought, Photoperiod

中图分类号:

P467
Q948

郭家驹, 胡梦琪, 张琳晗, 郭博雅, 祝令帅, 刘冬, 王雨欣, 林楠, 李秋月, 徐琳. 中国北方地区四种熟型藜属杂草始花期的模拟[J]. 草地学报, 2024, 32(6): 1872-1881.

GUO Jia-ju, HU Meng-qi, ZHANG Lin-han, GUO Bo-ya, ZHU Lin-shuai, LIU don, WANG Yu-xin, LIN Nan, LI Qiu-yue, XU Lin. Simulation of the Onset of Flowering of Four Ripening Type of Chenopodium Weeds in Northern China[J]. Acta Agrestia Sinica, 2024, 32(6): 1872-1881.

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https://manu40.magtech.com.cn/Jweb_cdxb/CN/Y2024/V32/I6/1872

参考文献

[1] DONNELLY A,YU R. The rise of phenology with climate change:an evaluation of IJB publications[J]. International Journal of Biometeorology,2017,61(1)：29-50
[2] 张湜溪,戴君虎,葛全胜. 植物始花期对气候变化响应的激素调控机理研究进展[J]. 地理科学进展,2019,38(7)：1045-1055
[3] 陶泽兴,仲舒颖,葛全胜,等. 1963-2012年中国主要木本植物花期长度时空变化[J]. 地理学报,2017,72(1)：53-63
[4] CARADONNA P J,ILER A M,INOUYE D W. Shifts in flowering phenology reshape a subalpine plant community [J].Proceedings of the National Academy of Sciences,2014,111(13)：4916-4921
[5] CLELAND E,CHUINE I,MENZEL A,et al. Shifting plant phenology in response to global change [J]. Trends in Ecology & Evolution,2007,22(7)：357-365
[6] 张小利,丁建云,崔建臣,等. 豚草花粉监测与花粉过敏的研究进展[J]. 植物检疫,2020,34(4)：47-52
[7] 李荣平,周广胜,阎巧玲. 植物物候模型研究[J]. 中国农业气象,2005 (4)：8-12
[8] 付永硕,李昕熹,周轩成,等. 全球变化背景下的植物物候模型研究进展与展望[J]. 中国科学:地球科学,2020,50(9)：1206-1218
[9] KRAMER K. A modelling analysis of the effects of climatic warming on the probability of spring frost damage to tree species in The Netherlands and Germany [J]. Plant,Cell & Environment,1994,17(4)：367-377
[10] FU Y H,CAMPIOLI M,DEMARéE G,et al. Bayesian calibration of the Unified budburst model in six temperate tree species [J]. International Journal of Biometeorology,2012,56(1)：153-164
[11] HÄNNINEN H. The Annual Phenological Cycle [G]//HÄNNINEN H. Boreal and Temperate Trees in a Changing Climate:Modelling the Ecophysiology of Seasonality. Dordrecht:,Springer Netherlands,2016：35-138
[12] HUNTER A F,LECHOWICZ M J. Predicting the Timing of Budburst in Temperate Trees[J]. Journal of Applied Ecology,1992,29(3)：597-604
[13] 李瑞英,任崇勇,陈楠,等. 鲁西南典型植物春季物候期的模拟研究[J]. 干旱气象,2015,33(6)：1010-1016
[14] LI Q,XU L,PAN X,et al. Modeling phenological responses of Inner Mongolia grassland species to regional climate change [J]. Environmental Research Letters,IOP Publishing,2016,11(1)：015002
[15] BERTERO H D,KING R W,HALL A J. Modelling photoperiod and temperature responses of flowering in quinoa (Chenopodium quinoa Willd.)[J]. Field Crops Research,1999,63(1)：19-34
[16] 孟龄,王效科,欧阳志云,等. 北京城区气传花粉季节特征及与气象条件关系[J]. 环境科学,2016,37(2)：452-458
[17] FAN D,ZHAO X,ZHU W,et al. Species differences in the green-up date of typical vegetation in Inner Mongolia and climate-driven mechanism based on process-based phenology models [J]. Science of The Total Environment,2022,834：155260
[18] YUAN W,ZHOU G,WANG Y,et al. Simulating phenological characteristics of two dominant grass species in a semi‐arid steppe ecosystem [J]. Ecological Research,2007,22(5)：784-791
[19] ZHOU Z,ZHANG K,SUN Z,et al. Lengthened flowering season under climate warming:Evidence from manipulative experiments [J]. Agricultural and Forest Meteorology,2022,312：108713
[20] 朱格麟. 藜科植物的起源、分化和地理分布[J]. 植物分类学报,1996,34(5)：486-504
[21] 侯晓静,王成,孙志伟,等. 城市郊区藜科植物花粉密度时空变化规律[J]. 东北林业大学学报,2010,38(3)：76-77
[22] FERRER A,LARRAMENDI C H,HUERTAS A J,et al. Allergenic differences among pollens of three Salsola species [J]. International Archives of Allergy and Immunology,2010,151(3)：199-206
[23] FERRER L,CARNéS J,ROJAS-HIJAZO B,et al. Assessing degree of flowering implicates multiple Chenopodiaceae/Amaranthaceae species in allergy [J]. International Archives of Allergy and Immunology,2012,158(1)：54-62
[24] 赵德宇,叶彩华,王宇飞,等. 京津冀地区气传花粉数据分析[J]. 植物学报,2021,56(6)：751-760
[25] 巢清尘. 中国气候变化蓝皮书2022[M].北京:科学出版社,2022:16-17
[26] 乔媛,尹炤寅,党冰,等.北京城郊致敏性气传花粉分布差异的比对研究[C]//中国环境科学学会.2017中国环境科学学会科学与技术年会论文集(第四卷).厦门:《中国学术期刊(光盘版)》电子杂志社,2017:4422-4429
[27] 中国科学院中国植物志编辑委员会.中国植物志[M].北京:科学出版社,1979:76-93
[28] 杨国栋,张明庆. 物候学基础[M].北京:首都师范大学出版社,2022:42-43
[29] 宛敏渭,刘秀珍. 中国物候观测方法[M]. 北京:科学出版社,1979:56-59
[30] JOLLY W M,NEMANI R,RUNNING S W. A generalized,bioclimatic index to predict foliar phenology in response to climate [J]. Global Change Biology,2005,11(4)：619-632
[31] 郑彦佳,徐琳,于瑶. 光温耦合的中国温带地区旱柳花期时空格局模拟[J]. 生态学报,2020,40(17)：6147-6160
[32] CHEN X,LI J,XU L,et al. Modeling greenup date of dominant grass species in the Inner Mongolian Grassland using air temperature and precipitation data [J]. International Journal of Biometeorology,2014,58(4)：463-471
[33] RICHARDSON E A,SEELEY S D,WALKER D R. A Model for Estimating the Completion of Rest for 'Redhaven' and 'Elberta' Peach Trees1 [J]. HortScience,American Society for Horticultural Science,1974,9(4)：331-332
[34] YAN W,WALLACE D H. Simulation and Prediction of Plant Phenology for Five Crops Based on Photoperiod×Temperature Interaction[J]. Annals of Botany,1998,81(6)：705-716
[35] OGLE K,WOLPERT R L,REYNOLDS J F. Reconstructing Plant Root Area and Water Uptake Profiles [J]. Ecology,2004,85(7)：1967-1978
[36] ZHOU Z,LI Y,SONG J,et al. Growth controls over flowering phenology response to climate change in three temperate steppes along a precipitation gradient [J]. Agricultural and Forest Meteorology,2019,274：51-60
[37] SUN S S,LIU X P,ZHAO X Y,et al. Annual Herbaceous Plants Exhibit Altered Morphological Traits in Response to Altered Precipitation and Drought Patterns in Semiarid Sandy Grassland,Northern China [J]. Frontiers in Plant Science,2022,13：756950
[38] FRANKS S J. Plasticity and evolution in drought avoidance and escape in the annual plant Brassica rapa[J]. The New Phytologist,2011,190(1)：249-257
[39] KAZAN K,LYONS R. The link between flowering time and stress tolerance[J]. Journal of Experimental Botany,2016,67(1)：47-60
[40] 林楠,徐琳,卢凡青,等. 华北区域杨柳科树木春季物候期的模拟[J]. 生态学报,2023,43(6)：1-13
[41] 于裴洋,同小娟,李俊,等. 中国东部暖温带刺槐物候模型比较[J]. 中国农业气象,2020,41(10)：609-621
[42] 王润红,茹晓雅,蒋腾聪,等. 基于物候模型研究未来气候情景下陕西苹果花期的可能变化[J]. 中国农业气象,2021,42(9)：729-745
[43] 申双和. 农业气象学原理[M].北京:气象出版社,2017:100-103
[44] BASLER D. Evaluating phenological models for the prediction of leaf-out dates in six temperate tree species across central Europe [J]. Agricultural and Forest Meteorology,2016,217：10-21
[45] 邓晨晖,白红英,高山,等. 1964-2015年气候因子对秦岭地区植物物候的综合影响效应[J]. 地理学报,2018,73(5)：917-931
[46] HUANG W,GE Q,WANG H,et al. Effects of multiple climate change factors on the spring phenology of herbaceous plants in Inner Mongolia,China:Evidence from ground observation and controlled experiments [J]. International Journal of Climatology,2019,39(13)：5140-5153
[47] JIANG Y,LI B,YUAN Y,et al. Divergent shifts in flowering phenology of herbaceous plants on the warming Qinghai-Tibetan plateau [J]. Agricultural and Forest Meteorology,2021,307：108502
[48] PEÑUELAS J,FILELLA I,ZHANG X,et al. Complex spatiotemporal phenological shifts as a response to rainfall changes [J]. New Phytologist,2004,161(3)：837-846
[49] LESICA P,KITTELSON P M. Precipitation and temperature are associated with advanced flowering phenology in a semi-arid grassland [J]. Journal of Arid Environments,2010,74(9)：1013-1017
[50] CHONG L,XU R,HUANG P,et al. The tomato OST1-VOZ1 module regulates drought-mediated flowering [J]. The Plant Cell,2022,34(5)：2001-2018
[51] WANG G,LUO Z,HUANG Y,et al. Preseason heat requirement and days of precipitation jointly regulate plant phenological variations in Inner Mongolian grassland [J]. Agricultural and Forest Meteorology,2022,314：108783
[52] REN S,QIN Q,REN H,et al. New model for simulating autumn phenology of herbaceous plants in the Inner Mongolian Grassland [J]. Agricultural and Forest Meteorology,2019,275：136-145
[53] GARCÍA-MOZO H,GALÁN C,BELMONTE J,et al. Predicting the start and peak dates of the Poaceae pollen season in Spain using process-based models [J]. Agricultural and Forest Meteorology,2009,149(2)：256-262
[54] MO Y,ZHANG J,JIANG H,et al. A comparative study of 17 phenological models to predict the start of the growing season [J]. Frontiers in Forests and Global Change,2023,5：1032066
[55] REN G,REN Y,ZHANG Y,et al. Some thoughts on observational settings of surface meteorological stations in Northwest China arid areas [J]. 2023,17：169-175
[56] FRANKS S J,SIM S,WEIS A E. Rapid evolution of flowering time by an annual plant in response to a climate fluctuation [J]. Proceedings of the National Academy of Sciences,2007,104(4)：1278-1282
[57] 韩喆,张永强,张浩浩,等. 干旱胁迫对伊犁绢蒿幼苗生长及叶片解剖结构的影响[J]. 草地学报,2024,32(1):105-112
[58] 于思敏,罗永忠,康芳明,等. 干旱胁迫对紫花苜蓿生长和叶绿素荧光特性的影响[J]. 草地学报,2023,31(6):1762-1771

中国北方地区四种熟型藜属杂草始花期的模拟

Simulation of the Onset of Flowering of Four Ripening Type of Chenopodium Weeds in Northern China

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