贺兰山地区植被冠层物候与树干形成层物候的关系  

Relationship between phenology of vegetation canopy and phenology of tree cambium in Helan Mountains, China

作　　者：李明明 李刚 LI Ming-ming;LI Gang(Key Laboratory of Desert and Desertification,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences y Beijing 100049,China;Qilian Mountain National Nature Reserve Administration of Gansu Province,Zhangye 734000,Gansu,China)

机构地区：[1]中国科学院西北生态环境资源研究院,沙漠与沙漠化重点实验室,兰州730000 [2]中国科学院大学,北京100049 [3]甘肃祁连山国家级自然保护管理局,甘肃张掖734000

出　　处：《应用生态学报》2021年第2期495-502,共8页Chinese Journal of Applied Ecology

基　　金：国家自然科学基金项目(41520104005);甘肃省林业和草原科技项目(2019KJ109)资助。

摘　　要：基于贺兰山地区98棵油松树轮样本的宽度数据、植被归一化指数(NDVI)数据以及土地覆被数据,采用VS-oscilloscope模型模拟的油松径向生长过程,研究植被冠层与树干形成层物候之间的联系。结果表明:林地冠层与油松形成层生长结束期(EOS)显著相关,且高于草地与形成层之间的相关。油松生长开始期(SOS)和EOS分别与5-6月、8-9月的平均最低温度有关。5-6月的平均最低气温每升高1℃,SOS提前4.3 d;8-9月的平均最低气温每升高1℃,EOS推迟2.6 d。植被冠层物候与油松形成层物候的相关性受植被类型的影响;仅通过树轮生理模型模拟树木生长动态,结果可能存在偏差;利用遥感监测数据将冠层发育和形成层生长过程结合有助于更准确地了解树木生长动态。Based on 98 Chinese pine(Pinus tabuliformis) tree-ring width data, normalized diffe-rence vegetation index(NDVI) data and land cover data in the Helan Mountains, we used VS-oscilloscope model to simulate the radial growth process of Chinese pine and to examine the relationship between vegetation canopy phenology and tree cambium phenology. Results showed that the end of season(EOS) of the vegetation canopy was significantly correlated with the EOS of the Chinese pine cambium. Such correlation was stronger than that between grassland and cambium. The start of season(SOS) and EOS of Chinese pine were related to the averaged minimum temperature in May-June and August-September, respectively. When the average minimum temperature in May-June increased by 1 ℃, SOS would be advanced by 4.3 days. The averaged minimum temperature in August-September increased by 1 ℃, EOS would be delayed by 2.6 days. The correlation between the phenology of vegetation canopy and the phenology of the cambium in Chinese pine differed among vegetation types. Simulating tree growth dynamics only through a tree-ring physiology model might lead to biased results. Using remote sensing monitoring data to combine canopy development and cambium growth would help to more accurately understand tree growth dynamics.

关 键 词：贺兰山 冠层 形成层 物候 V-S模型 

分 类 号：Q948[生物学—植物学]