張雄清，男，漢族，中國林業科學研究院林業研究所研究員、博士生導師。2007年中南林業科技大學林學專業本科畢業，2012年中國林業科學研究院森林經理專業博士畢業。
基本介紹
人物經歷,研究方向,科研項目,獲獎記錄,社會任職,論文專著,
人物經歷
學習經歷
2007.9-2012.6 中國林業科學研究院 博士 森林經理
2003.9-2007.6 中南林業科技大學 學士 林學
2011.9-2012.1 加拿大魁北克大學蒙特婁分校 訪問學者
工作經歷
2012.07－2014.11，助理研究員，中國林業科學研究院林業研究所
2014.11－2020.12，副研究員，中國林業科學研究院林業研究所
2020.12 - 至今，研究員，中國林業科學研究院林業研究所
研究方向
數量化培育
科研項目
（1）十四五國家重點研發計畫課題：杉木人工林近自然改造技術（No. 2021YFD2201304）；
（2）國家自然基金面上項目：不同發育階段杉木人工林林分葉生物量變化及其峰值與生長和地力維護的關係（No.31971645）；
（3）國家自然基金面上項目：亞熱帶氣候梯度杉木人工林生長驅動因子及不確定性模型（No.31670634）；
（4）國家自然基金青年基金：林分生長與收穫模型不確定性的研究（No. 31300537）；
（5）中國林科院林業所所長基金項目：貝葉斯方法在杉木生長模型中的套用研究（No. RIF2013-09）；
（6）中國林科院基本科研專項青年配套類（No. CAFYBB2014QB002）。
獲獎記錄
2019年：百千萬人才工程省部級人選；
2019年：國家林草局首批青年拔尖人才；
2017年：中國科協第三屆“青年人才托舉工程”；
2014年9月：第四屆中國林科院傑出青年；
2013年6月：中國林科院優秀博士論文獎。
社會任職
國際林聯森林培育學部研究組副組長;
中國林學會森林培育分會青年理事;
杉木專業委員會副秘書長.
論文專著
2022：
(1) Zhang X, Cao QV, Qu Y, Zhang J. 2022. Deriving tree growth models from stand models based on the selfthinning rule of Chinese fir plantations.iForest, 15: 1-7.
(2) Wang Z, Zhang X*, Zhang J, Chhin S. 2022. Effects of stand factors on tree growth of Chinese fir in the subtropics of China depends on climate conditions from predictions of a deep learning algorithm: A long-term spacing trial. Forest Ecology and Management, 520: 120363
(3) Qu Y, Wang H, Dean TJ., Zhang J, Zhang X*. 2022.Growth dominance and growth efficiency in response to thinning treatments in Chinese fir plantations with long-term spacing trials. Forest Ecology and Management, 521: 120438.
(4) Jiang Y, Zhang X*, Zhang J, Chhin S. 2023. Comparing the random forest algorithm with other modelling approaches to capture the complex patterns of intra-annual wood formation of Chinese fir with different ages. Dendrochronologia, 77: 126043.
2021:
(1) Jiang Y, Zhang X*, Chhin S, Zhang J. 2021. A bimodal pattern and age-related growth of intra-annual wood cell development of Chinese fir in Subtropical China. Frontiers in Plant Science, 12: 757438.
(2) Wang Z, Zhang X*, Chhin S, Zhang J, Duan A. 2021. Disentangling the effects of stand and climatic variables on forest productivity of Chinese fir plantations in subtropical China using a random forest algorithm. Agricultural and Forest Meteorology, (304–305)108412.
(3) Liu X, Duan G, Chhin S, Lei X, Wang D, Zhang X*. 2021. Evaluation of potential versus realized site productivity of Larix principisrupprechtii plantations across northern China. Forest Ecology and Management, 479: 118608.
(4) He H, Zhu G, Ma W, Liu F, Zhang X*. 2021. Additivity of stand basal area predictions in canopy stratifications for natural oak forests. Forest Ecology and Management, 492: 119246.
(5) Lu L, Chhin S, Zhang J, Zhang X*. 2021. Modelling tree height-diameter allometry of Chinese fir in relation to stand and climate variables through Bayesian model averaging approach. Silva Fennica, 55(2): 10415.
(6) 王震, 魯樂樂, 張雄清*, 張建國, 姜麗, 段愛國. 2021. 基於貝葉斯模型平均法構建杉木林分蓄積量生長模型.林業科學研究, 34(3): 64-71.
(7) 王翰琛, 張雄清*, 張建國, 屈彥成, 姜麗. 2021. 杉木人工林不同密度間伐林分生長優勢的變化規律分析.林業科學研究, 34(5): 32-38.
2020:
(1) Zhang X, Wang H, Chhin S, Zhang J*. 2020. Effects of competition, age and climate on tree slenderness of Chinese fir plantations in southern China. Forest Ecology and Management, 458: 117815.
(2) Zhang X, Wang Z, Chhin S, Wang H, Duan A, Zhang J*. 2020. Relative contributions of competition, stand structure, age, and climate factors to tree mortality of Chinese fir plantations: long-term spacing trials in southern China. Forest Ecology and Management, 465: 118103.
(3) Zhang X, Cao QV, Wang H, Duan A, Zhang J*. 2020. Projecting stand survival and basal area based on a self-thinning model for Chinese fir plantations. Forest Science. 66(3): 361-370.
2019:
(1)Zhu G, Hu S, Chhin S, Zhang X*, He P. 2019. Modelling site index of Chinese fir plantations using a random effects model across regional site types in Hunan province, China. Forest Ecology and Management, 446: 143-150.
(2)Wang M, Liu Q, Fu L,Wang G, Zhang X*. 2019. Airborne LIDAR-Derived Aboveground Biomass Estimates Using a Hierarchical Bayesian Approach. Remote Sensing,11,1050.
(3) Lu L, Wang H, Chhin S, Duan A, Zhang J, Zhang X*. 2019. A Bayesian Model Averaging approach for modelling tree mortality in relation to site, competition and climatic factors for Chinese fir plantations. Forest Ecology and Management, 440: 169-177.
(4) Zhang X, Chhin S, Fu L, Lu L, Duan A, Zhang J*. 2019. Climate-sensitive tree height–diameter allometry for Chinese fir in southern China. Forestry, 92: 167-176.
(5) Zhang X, Cao Q, Lu L, Wang H, Duan A, Zhang J. 2019. Use of Modified Reineke's Stand Density Index in Predicting Growth and Survival of Chinese Fir Plantations. Forest Science, 65(6): 776-783.
2018:
(1)Zhang X, Lu Lele, Cao Q, Duan A, Zhang J*. 2018.Climate-sensitive self-thinning trajectories of Chinese fir plantations in south China. Canadian Journal of Forest Research,48: 1388-1397.(SCI)
2017:
(1)Zhang X, Cao Q, Duan A, Zhang J*. 2017.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, 1278-1285.(SCI)
(2)Zhang X, Cao Q, Xiang C, Duan A, Zhang J*. 2017.Predicting total and component biomass of Chinese fir using a forecast combination method. IForest, 10: 687-691.(SCI)
2016:
(1) Zhang X, Cao Q, Duan A, Zhang J*. 2016. Self-thinning trajectories of Chinese Fir plantations in southern China. Forest Science, 62:594-599.(SCI)
2015:
(1) Zhang X, Lei Y*, Liu X. 2015. Modeling stand mortality using Poisson mixture models with mixed- effects. IForest,8: 333-338.(SCI)
(2) Zhang X, Zhang J*, Duan A. 2015. A hierarchical Bayesian model to predict self-thinning line for Chinese fir in southern China.PLoS ONE,10(10): e0139788. doi:10.1371/journal.pone.0139788. (SCI)
(3) 張雄清, 張建國*, 段愛國. 2015. 杉木人工林林分斷面積生長模型的貝葉斯法估計.林業科學研究, 28(4): 538-542.
(4) 曲佳，張雄清*. 2015. 國內外樹幹乾形的研究進展. 林業實用技術，511（7）：3-7.
2014:
(1) Zhang X, Lei Y, Ma Z, et al. 2014. Insect-induced tree mortality of boreal forests in eastern Canada under a changing climate. Ecology and Evolution, 4(12): 2384-2394.(SCI)
(2) Zhang X, Duan A, Dong L, Cao Q, Zhang J. 2014. The application of Bayesian Model Averaging in compatibility of stand basal area for even-aged plantations in southern China. Forest Science,60(4):645–651.(SCI)
(3) Zhang X, Lei Y, Pang Y, et al. 2014. Tree mortality in response to climate change induced drought across Beijing, China. Climatic Change,124: 179-190.(SCI)
(4) Zhang X, Duan A, Zhang J, Xiang C. 2014. Estimating Tree Height-Diameter Models with the Bayesian Method. The Scientific World Journal,683691.(SCI)
(5) 張雄清, 張建國, 段愛國. 2014. 基於貝葉斯法杉木人工林樹高生長模型的研究.林業科學, 50(3): 69-75.
(6) 張雄清, 張建國, 段愛國. 2014. 基於單木水平和林分水平杉木兼容性林分蓄積量模型的研究.林業科學, 50
(1): 82-87.
2013及以前：
(1) Zhang X, Duan A, Zhang J. 2013. Tree Biomass Estimation of Chinese fir (Cunninghamia lanceolata) Based on Bayesian Method. PLoS ONE, 2013, 8(11): e79868.(SCI)
(2) Zhang X, Lei Y, Liu F, et al. 2012. Predicting tree recruitment with negative-binomial mixture models. Forest Ecology and Management, 270: 209-215.(SCI)
(3) Zhang X, Lei, Y, Cao, QV, et al. 2011. Improving tree survival prediction with forecast combination and disaggregation. Canadian Journal of Forest Research,41: 1928-1935.(SCI)
(4) Zhang X, Lei, Y, Cao, QV. 2010. Compatibility of stand basal area predictions based on forecast combination. Forest Science, 56(6): 552-557.(SCI)
(5) Zhang X, Lei, Y. 2010. A linkage among whole-stand model, individual tree model and diameter- distribution model. Journal of Forest Science, 56(12): 600-608.(EI)
(6) 張雄清, 雷淵才, 段愛國, 等. 2013. 林分動態變化模型研究進展. 世界林業研究, (26) : 63-69.
(7) 張雄清, 雷淵才, 雷相東.2012. 基於計數模型方法的林分枯損研究. 林業科學, 48(8): 54-61.
(8) 張雄清, 雷淵才, 陳新美. 2011. 林分斷面積組合預測模型權重確定的比較研究. 林業科學, 47(7): 36-41.
(9) 張雄清, 雷淵才, 陳新美, 等. 2010. 組合預測法在林分斷面積生長預估中的套用. 北京林業大學學報, 32 (4): 6-11.
(10) 張雄清, 雷淵才.2010. 基於定期調查數據的全林分年生長預測模型研究. 中南林業科技大學學報, 30(40): 69-74.
(11) 張雄清, 雷淵才. 2009. 可變生長率法和固定生長率法在單木年生長預測中的比較研究. 林業科學研究, 22(6): 824-828.
(12) 張雄清, 雷淵才. 2009. 北京山區天然櫟林直徑分布的研究. 西北林學院學報, 24(6): 1-5.
軟體著作權6個:
林分動態模型模擬系統（2012SR060479）
杉木林分動態模型系統（2016SR274742）
杉木單木枯損率模型系統（2018SR299421）
杉木單木枯損率不確定性模型模擬系統（2018SR606726）
杉木不確定性林分枯損模型系統（2018SR889497）
基於貝葉斯理論的杉木生長與枯損模型系統（2021SR0447627）
