不同种源刨花楠林下幼苗叶片碳氮磷化学计量特征  

Leaf C, N, P Stoichiometry of Machilus pauhoi Understory Seedlings of Different Provenances

作　　者：余华[1,2] 钟全林 程栋梁[1,3,4] 张中瑞 徐朝斌[1] 郑文婷 裴盼[1] Yu Hua;Zhong Quanlin;Cheng Dongliang;Zhang Zhongrui;Xu Chaobin;Zheng Wenting;Pei Pan(College of Geographical Sciences,Fujian Normal University,Fuzhou 350007;Ocean College,Minjiang University,Fuzhou 350108;State Key Laboratory Breeding Base of Humid Subtropical Mountain Ecology,Fuzhou 350007;Fujian Province Key Laboratory of Plant Ecophysiology,Fuzhou 350007;Guangdong Academy of Forestry,Guangzhou 510520;College of Environment and Resources,Fuzhou University, Fuzhou 350116)

机构地区：[1]福建师范大学地理科学学院,福州350007 [2]闽江学院海洋学院,福州350108 [3]湿润亚热带山地生态国家重点实验室培育基地,福州350007 [4]福建省植物生理生态重点实验室,福州350007 [5]广东省林业科学研究院,广州510520 [6]福州大学环境与资源学院,福州350116

出　　处：《林业科学》2018年第12期22-32,共11页Scientia Silvae Sinicae

基　　金：国家自然科学基金项目(31170596;31370589;31470501);国家重点研发计划(2017YFC0505400);福建省种业创新和产业化工程项目(2014S1477-4);福建省科技厅重大项目(2014N5008);福建省自然科学基金项目(2018J01479);福建省教育厅教育科研项目(JAT170443)

摘　　要：【目的】探明不同种源刨花楠林下幼苗叶片C,N,P化学计量特征及其对地理环境变化的响应,以期为探讨刨花楠天然林人促更新技术、开展其人工造林的适宜栽培环境选择提供理论依据与实践参考。【方法】以9个种源地天然刨花楠林下幼苗为研究对象,运用单因素方差法分析各种源地间叶片C,N,P化学计量特征差异,利用Pearson法分析其相关性,结合熵权法和冗余分析法选取代表性的环境因子,基于逐步回归分析法构建叶片化学计量特征与环境因子的拟合模型,并按赤池信息准则选取最佳模型,据此分析环境因子对刨花楠林下幼苗叶片化学计量特征的影响。【结果】不同种源间刨花楠林下幼苗叶片P含量、C∶P和N∶P均差异极显著(P<0.01),但C,N含量和C∶N差异不显著;种源间变异系数表现为P含量> C∶P> N∶P> N含量> C∶N> C含量;叶片N含量均与C,P含量极显著正相关(P<0.01),与C∶N和C∶P则极显著负相关(P<0.01); P含量与C含量显著正相关(P<0.05),与C∶N、C∶P和N∶P则极显著负相关(P<0.01); C∶P与C∶N和N∶P均极显著正相关(P<0.01);影响林下幼苗叶片C,N,P化学计量特征的主要环境因子为经度、年均气温和1月气温;叶片C,N含量分别与经度显著(P<0.05)和极显著(P<0.01)正相关; C∶N与1月气温极显著正相关(P<0.01); P含量与经度和年均气温均极显著正相关(P<0.01),与1月气温极显著负相关(P<0.01); C∶P与经度、年均气温均极显著负相关(P<0.01),与1月气温极显著正相关(P<0.01),2者受经度影响程度均大于年均气温和1月气温; N∶P与经度、年均气温均显著负相关(P<0.05),受经度影响程度大于年均气温。【结论】不同种源间刨花楠林下幼苗叶片C,N,P化学计量特征存在差异,其主要受经度和年均气温影响。在刨花楠天然林人促更新及人工造林的适宜栽培环境选择过程中,考虑不同种源的适应性及种源地环境异质性【Objective】This paper explores understory seedlings of different provenances of Machilus pauhoi and their response to geographical environment changes with the intention of providing theoretical and practical basis for artificial reforestation of natural forest and selection of suitable cultivation environment selection.【Method】Leaf samples were collected from understory seedlings of9provenances of M.pauhoi and variations of leaf C,N,P stoichiometry of different provenances were analyzed by one-way ANOVA and the correlations were calculated using Pearson method.Representative environmental factors were selected by combining both entropy-weight method and redundancy analysis method.Based on stepwise regression,fitting models of leaf stoichiometry and environmental factors were established.Using akaike information criterion,the best fitting models were chosen to analyze the influence of environmental factors on leaf stoichiometry of M.pauhoi understory seedlings.【Result】Firstly,leaf P concentrations,C∶P and N∶P of M.pauhoi understory seedlings of different provenances presented extremely significant differences(P<0.01),while C and N concentrations as well as C∶N presented little.For the variation coefficients of leaf stoichiometry,P concentrations,C∶P,N∶P,N concentrations,C∶N and C concentrations were in descending order.Secondly,N concentrations were extremely significantly positively correlated to C and P concentrations(P<0.01),but extremely significantly negatively correlated to C∶N and C∶P(P<0.01).P concentrations demonstrated significant positive correlations with C concentrations(P<0.05),but extremely significant negative with C∶N,C∶P and N∶P(P<0.01).And C∶P displayed extremely significant positive correlations with C∶N and N∶P(P<0.01).Thirdly,leaf C,N,P stoichiometry of M.pauhoi understory seedlings were mutually affected by longitude and mean annual temperature.Leaf C and N concentrations were significantly and extremely significantly positively correlated with longit

关 键 词：碳氮磷化学计量特征 地理环境 林下幼苗 种源 刨花楠 

分 类 号：S718.51[农业科学—林学]