内蒙古典型草原羊草生长季内的地上生物量动态对降水的时滞响应  

Time-lag Response of Aboveground Biomass Dynamic of Leymus chinensis in the Growing Season on Precipitation in Inner Mongolian Typical Grassland

作　　者：张军[1] 刘菊红[1] 曹娜[1] 张彩琴[1] ZHANG Jun;LIU Ju-hong;CAO Na;ZHANG Cai-qin(School of science,Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China)

机构地区：[1]内蒙古农业大学理学院,内蒙古呼和浩特010018

出　　处：《草地学报》2020年第6期1719-1725,共7页Acta Agrestia Sinica

基　　金：内蒙古农业大学高层次人才科研启动项目(NDYB2019-35);内蒙古自治区自然科学基金项目(2018MS03047)共同资助。

摘　　要：在草地生态系统与气候变化关系的研究中,植物生长动态对气象因子的响应是该领域的研究热点之一。本文以内蒙古典型草原生态系统的降水和生长季内羊草(Leymus chinensis)地上生物量的动态变化数据为研究对象,采用灰色时滞关联分析模型探索降水对羊草地上生物量动态的最佳时滞效应量,并采用灰色时滞GM(1,2,τ)模型证实降水对羊草地上生物量时滞效应量的合理性。结果表明:降水对羊草生长的最佳时滞效应量随年份而变,以2015—2016年的数据为例,最佳时滞效应量分别是τ=4天和7天,且降水对羊草生长动态的影响表现出明显的累积效应和时滞效应。本研究结果将有助于探明降水对羊草地上生物量动态变化的影响机制,并为天然草地植物动态定量建模与预测提供数据依据。The response of plant growth dynamics to meteorological factors is one of the researches focuses in the study of the relationship between grassland ecosystem and climate change.The precipitation data and the aboveground biomass dynamic data of Leymus chinensis in growing season of typical grassland ecosystem in Inner Mongolia were used as the research objective in this paper.The grey time-lag correlation analysis model was applied to analyze optimal lag-time effect size of aboveground biomass dynamic of Leymus chinensis on precipitation.The grey time-lag GM(1,2,τ)model was applied to verify the reasonability in the lag-time effect size of precipitation on aboveground biomass dynamic of Leymus chinensis.The results showed that the optimal time-lag effect size of precipitation on the growth dynamics of Leymus chinensis varied with years.Taking the data in 2015-2016 as an example,the time-lag factorτwere 4 days and 7 days.In addition,it was found that the influence of precipitation on aboveground biomass of Leymus chinensis had obvious cumulative effect and time-lag effect.The results will be helpful to understand the influence mechanism of precipitation on the growth of Leymus chinensis and provide a data basis for quantitative modeling and prediction of natural grassland plants.

关 键 词：地上生物量 降水量 时滞性 灰色关联度 

分 类 号：S812[农业科学—草业科学]