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作 者:徐伟涛[1] 林嘉源 丘丽萍 张帆 赖日文[1] XU Weitao;LIN Jiayuan;QIU Liping;ZHANG Fan;LAI Riwen(Forestry College,Fujian Agriculture and Forestry University,Fuzhou 350002,China)
出 处:《森林工程》2022年第6期27-37,共11页Forest Engineering
基 金:福建农林大学科技发展基金(KHF190017);地方政府横向项目(KH190110A)。
摘 要:为探究杉木高生产力的核心区域及其影响因素,采用改进的CASA模型基于遥感数据、森林资源调查数据和气象台站数据估算2006年、2011年和2016年福建省杉木林植被净初级生产力(Net Primary Productivity, NPP),分析其时空分异特征,探究其与各影响因子的关系。研究结果显示,福建省杉木林在2006年、2011年和2016年NPP年均值分别为804.03、854.76、884.46 g/(m^(2)·a),呈现出夏季高冬季低的季相特征;杉木林的分级统计以中、高生产力占优势,其中南平市和三明市是福建省杉木林的核心产区,各期的中、高生产力杉木林分单元分别占全省杉木林分总面积的36.04%、41.98%和45.60%;杉木林NPP与年降水量、年太阳总辐射、海拔、坡度、土壤有机质、全氮和全钾呈显著正相关,与年平均气温、坡向、全磷呈显著负相关;杉木林NPP总体上随海拔、坡度、太阳总辐射、年降水量和土壤有机质的升高而递增,随年平均气温的升高而递减。研究表明海拔、坡度、年太阳总辐射、年降水量、年平均气温和土壤有机质是影响福建省杉木林NPP的重要因子。To investigate the core areas of high productivity of Chinese fir and their influence factors,in this study,the improved CASA model was used to estimate the NPP of Chinese fir forests in Fujian Province in 2006,2011 and 2016 based on remote sensing data,forest resource survey data and meteorological station data,analyze its spatio-temporal differentiation characteristics,and explore its relationship with various impact factors.The results showed that the annual average NPP values of Chinese fir forests in the study area in 2006,2011 and 2016 were 804.03,854.76 and 884.46 g/(m^(2)·a),showing the seasonal characteristics of high summer and low winter.The Chinese fir forests in the hierarchical statistical study area were dominated by medium and high productivity,with the core areas in Nanping and Sanming.The medium and high productivity Chinese fir stand units in three years accounted for 36.04%,41.98%and 45.60%of the total area of fir forests in Fujian Province.The NPP of Chinese fir forest was significantly positively correlated with annual total precipitation,annual total solar radiation,altitude,slope,soil organic matter,total nitrogen and total potassium,and significantly negatively correlated with annual average temperature,aspect and total phosphorus.The NPP of Chinese fir forest generally increased with the increase of altitude,slope,annual total solar radiation,annual total precipitation and soil organic matter,and decreased with the increase of annual average temperature.The research showed that altitude,slope,annual total solar radiation,annual total precipitation,annual average temperature and soil organic matter were the important factors that affect the NPP of Chinese fir forests in Fujian Province.
关 键 词:杉木林 净初级生产力 CASA模型 时空分异 影响因子
分 类 号:S757.[农业科学—森林经理学]
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