2024年4月26日 星期五
河南林州植物物候变化特征及其原因分析
Analysis of plant phonological variation characters and its potential reasons in Linzhou of He'nan Province
2007年 第16卷 第1期 页码[12-17]    下载全文[0.8MB]  
摘要

根据河南省林州市1987年至2004年的物候和气象资料,运用一元线性回归法和相关分析法分析了林州市近20年来植物物候的变化特征及其对气候变化的响应。结果表明,近20年来,林州地区的毛白杨(Populus tomentosa Carr.)、刺槐(Robinia hispida Linn.)、梧桐(Firmiana simplex W.F.Wight)和白梨(Pyrus bretschneideri Rehd.)等木本植物的春季物候期提前,秋季物候期变化不一致,生长期延长;车前(Plantago asiatica Linn.)、藜(Chenopodium album Linn.)和苍耳(Xanthium sibiricum Patr.)等草本植物的春季物候期变化不一致,秋季物候期均提前,生长期缩短。木本植物春季物候变化受冬末春初气温变化的影响最大、日照次之、降水最小,秋季物候期对气候变化基本没有响应;草本植物的物候期主要受气温影响,降水能促进草本植物开花。木本植物的春季物候变化可作为反映气候变化的代用指标。

Abstract

Based on phenological and meteorological data in Linzhou City of He'nan Province from 1987 to 2004, phonological variation characters of some plants and their response to climate change were analyzed by using linear regression and correlation analysis methods. The results showed that in the last 20years, spring phonological phases of some wood plants, e.g. Populus tomentosa Carr., Robinia hispida Linn., Firmiana simplex W.F.Wight and Pyrus bretschneideri Rehd.,became earlier and their autumn phases represented in consistent, and thus their growing period prolonged. Meanwhile, spring phonological phases of herbaceous plants, e.g. Plantago asiatica Linn., Chenopodium album Linn.and Xanthium sibiricum Patr. Represented inconsistent, and their autumn phases advanced, so their growing period shortened. The spring phonological variation of wood plants was influenced most strongly by temperature change in late winter and early spring, and following by sunshine, then by precipitation, but their autumn phases primarily showed no response to climate variation. Phenological phases of herbaceous plants were mainly affected by temperature, and precipitation would promote them blooming. The spring phonological phase of wood plants can be considered as an alternate indicator to reflect the climate change.

关键词物候; 气温; 降水; 日照时数; 相关系数;
Key wordsphenology; air temperature; precipitation; sunshine hours; correlation coefficient
作者陈彬彬1,郑有飞1,赵国强2,陈怀亮2
所在单位1.南京信息工程大学环境科学与工程学院,江苏南京210044;
2.河南省气象局,河南郑州450061
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下载次数797
基金项目国家气象局预测减灾应用技术开发推广项目(CMATG2004M21);