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杉木单木枯损率与初植密度、竞争和气候因子的关系
引用本文:张雄清,王翰琛,鲁乐乐,陈传松,段爱国,张建国.杉木单木枯损率与初植密度、竞争和气候因子的关系[J].林业科学,2019(3):72-78.
作者姓名:张雄清  王翰琛  鲁乐乐  陈传松  段爱国  张建国
作者单位:中国林业科学研究院林业研究所国家林业和草原局林木培育重点实验室;南京林业大学南方现代林业协同创新中心;中国林业科学研究院亚热带林业实验中心
基金项目:国家自然科学基金项目(31670634);中国科协青年人才托举项目(2017QNRC001)
摘    要:【目的】分析杉木单木枯损率与初植密度、竞争和气候因子的关系,为杉木科学经营管理提供决策依据。【方法】以江西杉木密度试验林为研究对象,选取常用的logit、probit和cloglog 3种二分类变量数据结构模型构建杉木单木枯损率基础模型,并进行选择。以选择出的最优模型为基础,引入样地和样木的随机效应构建杉木单木枯损率混合效应模型。【结果】logit模型的AIC值最小(4 700.419),probit模型次之,cloglog模型最差。考虑样地和样木两水平随机效应的混合效应模型模拟精度最高,其AUC值为0.966 8。初植密度、林分优势高越大,杉木单木枯损率越高;相对直径d/D_g越大,杉木单木枯损率越低;气候越干旱,杉木单木枯损率越高;温度升高,杉木单木枯损率减小。【结论】考虑样地和样木两水平的logit模型能够较好分析杉木单木枯损率与初植密度、竞争、立地和气候因子的关系,并且随着气候干旱发生,杉木单木枯损率提高。

关 键 词:单木枯损率  杉木  连接模型  初植密度  气候变量  竞争

Tree Mortality in Relation to Planting Density,Competition and Climate Factors for Chinese Fir Plantation in Southern China
Zhang Xiongqing,Wang Hanchen,Lu Lele,Chen Chuansong,Duan Aiguo,Zhang Jianguo.Tree Mortality in Relation to Planting Density,Competition and Climate Factors for Chinese Fir Plantation in Southern China[J].Scientia Silvae Sinicae,2019(3):72-78.
Authors:Zhang Xiongqing  Wang Hanchen  Lu Lele  Chen Chuansong  Duan Aiguo  Zhang Jianguo
Institution:(Key Laboratory of Tree Breeding and Cultivation of the National Forestry and Grassl and Administration Research Institute of Forestry,CAF Beijing 100091;Co-Innovation Center for Sustainable Forestry in Southern China,Nanjing Forestry University Nanjing 210037;Experimental Center of Subtropical Forestry,CAF Fenyi 336600)
Abstract:Objective ] It io important to analyze the relationship between tree mortality and planting density, ccmpetition , site index , and climato facWre foe managing Chineso fir % Cuooioghamij ) well.' Method ] Based on the Chinese ft data in Jiangxi Previncc , three widely used model foe analyzing binary data which are looit, probit and clooloo link modeO were used It modelling tree mortality and ccmpared with each other. Then we introduccd the plot and tree random efects to the selected modd in ordee.Result ] The resuh showed that the looit modd was the best % AIL = 4 700. 419), followed by probit modd, and clooloo modd. Also acccunting for the plot and tree random Cects at the same time had the best performance, and its AUC was 0. 966 8 , which was close It 1. In addition , we also found : mortality rate increased with increesing initid planting density and site index;decreesed with increesing d/Eg;decreesed with increasing mean annud temperature and previous summer mean temperature;increesed with increesing previous wtnte mean mtntmum tempeatu5eand annuaoheat-motetu5etndei. Conc ou eton] Logttmodeopeoomed weoon modeotng tree mortal! te in oelation te planting density, ccmpetition, site index, and climate factors. The oesearch of oelationship belteen mortalita and annual heat-moisture index cculd be helpful foe managing Chinese fir plantations undeo the climate change.
Keywords:tree mortality  Chinese fir  link models  initial planting density  climate  ccmpetition
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