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作 者:刘杰[1] 陈锐 王飞[1] 王若男 张秋良 Liu Jie;Chen Rui;Wang Fei;Wang Ruonan;Zhang Qiuliang(Inner Mongolia Agricultural University,Hohhot 010019,P.R.China;Forestry and Grassland Bureau of Balinzuoqi,Inner Mongolia;National Field Scientific Observation and Research Station of Forest Ecosystem in Daxing’anling,Inner Mongolia)
机构地区:[1]内蒙古农业大学,呼和浩特010019 [2]内蒙古巴林左旗林业和草原局 [3]内蒙古大兴安岭森林生态系统国家野外科学观测研究站
出 处:《东北林业大学学报》2024年第12期77-83,共7页Journal of Northeast Forestry University
基 金:国家自然科学基金项目(32160286)。
摘 要:以内蒙古大兴安岭地区两种林型的兴安落叶松(Larix gmelinii)天然林为对象,运用树木年轮学与异速生长方程模型,推算过去20 a杜香(Ledum palustre L.)-兴安落叶松林及草类-兴安落叶松林净初级生产力(N_(PP))的年际变化,结合中国气象数据网获取的气象数据,分析气候因子对不同林型兴安落叶松林N_(PP)的影响。结果表明:两种林型生物量呈逐年上升的趋势,N_(PP)呈“上升-下降-上升”的波动式上升趋势。不同林型N_(PP)与各气候因子的相关分析表明,2000—2020年温度(T)对两种林型兴安落叶松林N_(PP)起正向影响,而降水(P)对草类-兴安落叶松林N_(PP)起正向影响。由于气候的“滞后效应”,杜香-兴安落叶松林N_(PP)与上一年8月份月平均最高温度呈极显著正相关,草类-兴安落叶松林N_(PP)与上一年11月份月平均温度、上一年7月份降水量呈显著正相关。Taking the natural Larix gmelinii forest in the Greater Khingan Range of Inner Mongolia as the object,the annual variation of net primary productivity(NPP)of Ledum palustre L.-L.gmelinii forest and grass-L.gmelinii forest in the past 20 years was calculated using tree ring dynamics and allometric growth equation models.This analysis,utilizing meteorological data from the China Meteorological Data Network,aimed to investigate the influence of climate factors on the NPP of different L.gmelinii forest types.The results showed that the biomass of the two forest types exhibited an increasing trend over the years,while the NPP showed a fluctuating pattern of“rise-fall-rise”.The correlation analysis between N_(PP) and various climate factors demonstrated that temperature(T)exerted a positive impact on the N_(PP) of both L.gmelinii forest types from 2000 to 2020,while precipitation(P)positively affected the N_(PP) of the grass-L.gmelinii forest.Additionally,due to climate lag effects,NPP of L.palustre L.-L.gmelinii forests was significantly positively correlated with the mean highest temperature in August of the previous year,while N_(PP) of grass-L.gmelinii forests was significantly positively correlated with the mean temperature in November and precipitation in July of the previous year.
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