个人简历

张雄清,研究生学历,博士学位

部    门: 森林培育研究室民    族:
课 题 组:人工林定向培育籍    贯:福建
研究领域:人工林定向培育和模型模拟出生年月:1985.07
导师资格:硕士生导师毕业院校:中国林业科学研究院
职    称:副研究员毕业时间:2012.07
职    务:所学专业:森林经理
入职时间:2012.07

办公电话:01062888309     传真号码:010-62872015     电子邮件:xqzhang85@caf.ac.cn
  • 学习工作经历
  • 科研项目
  • 所获奖励
  • 主要成果
  • 论文专著
  • 学习经历
        2007.9-2012.6 中国林业科学研究院 博士 森林经理
        2003.9-2007.6 中南林业科技大学 学士 林学
        2011.9-2012.1 加拿大魁北克大学蒙特利尔分校 访问学者

    工作经历
        2012.07-2014.11,助理研究员,中国林业科学研究院林业研究所
        2014.11-至今,副研究员,中国林业科学研究院林业研究所

    任职经历
        暂无信息
  • (1)国家自然基金面上项目:亚热带气候梯度杉木人工林生长驱动因子及不确定性模型(No.31670634);
    (2)国家自然基金青年基金:林分生长与收获模型不确定性的研究(No. 31300537);
    (3)中国林科院林业所所长基金项目:贝叶斯方法在杉木生长模型中的应用研究(No. RIF2013-09);
    (4)中国林科院基本科研专项青年配套类(No. CAFYBB2014QB002)。
  • 2014年9月:第四届中国林科院杰出青年;
    2013年6月:中国林科院优秀博士论文奖。
  • 软件著作权2个:
    林分动态模型模拟系统(2012SR060479)
    杉木林分动态模型系统(2016SR274742)
  • 2017:
    (1)Zhang X, Cao Q, Duan A, Zhang J. Modeling tree mortality in relation to climate, initial planting density, and competition in Chinese fir plantations using a Bayesian logistic multilevel method. Canadian Journal of Forest Research, 2017,1278-1285.
    (2)Zhang X, Cao Q, Xiang C, Duan A, Zhang J. Predicting total and component biomass of Chinese fir using a forecast combination method. IForest, 2017,10: 687-691.

    2016:
    (1) Zhang X, Cao Q, Duan A, Zhang J. Self-thinning trajectories of Chinese Fir plantations in southern China. Forest Science, 2016, 62:594-599.

    2015:
    (1) Zhang X, Lei Y, Liu X. Modeling stand mortality using Poisson mixture models with mixed-effects. IForest, 2015,8: 333-338.
    (2) Zhang X, Zhang J, Duan A. A hierarchical Bayesian model to predict self-thinning line for Chinese fir in southern China.PLoS ONE,2015,10(10): e0139788. doi:10.1371/journal.pone.0139788

    2014:
    (1) Zhang X, Lei Y, Ma Z, et al. Insect-induced tree mortality of boreal forests in eastern Canada under a changing climate. Ecology and Evolution, 2014, 4(12): 2384-2394.
    (2) Zhang X, Duan A, Dong L, Cao Q, Zhang J. The application of Bayesian Model Averaging in compatibility of stand basal area for even-aged plantations in southern China. Forest Science, 2014, 60(4):645–651.
    (3) Zhang X, Lei Y, Pang Y, et al. Tree mortality in response to climate change induced drought across Beijing, China. Climatic Change, 2014,124: 179-190.
    (4) Zhang X, Duan A, Zhang J, Xiang C. Estimating Tree Height-Diameter Models with the Bayesian Method. The Scientific World Journal, 2014, 683691.

    2013及以前:
    (1) Zhang X, Duan A, Zhang J. Tree Biomass Estimation of Chinese fir (Cunninghamia lanceolata) Based on Bayesian Method. PLoS ONE, 2013, 8(11): e79868.
    (2) Zhang X, Lei Y, Liu F, et al. Predicting tree recruitment with negative-binomial mixture models. Forest Ecology and Management, 2012, 270: 209-215.
    (3) Zhang X, Lei, Y, Cao, QV, et al. Improving tree survival prediction with forecast combination and disaggregation. Canadian Journal of Forest Research, 2011, 41: 1928-1935.
    (4) Zhang X, Lei, Y, Cao, QV. Compatibility of stand basal area predictions based on forecast combination. Forest Science, 2010, 56(6): 552-557.
    (5) Zhang X, Lei, Y. A linkage among whole-stand model, individual tree model and diameter-distribution model. Journal of Forest Science, 2010, 56(12): 600-608.