第13讲Fractional Compositional Data Analysis – Biomass Allocation Models
主讲人:赵德海博士(The University of Georgia)
时 间:2016年10月17日(星期一) 9:00-11:00
地 点:科技大厦604(原机械楼主604)
主讲人简介:赵德海,美国佐治亚大学(The University of Georgia) 林业与自然资源学院(Warnell School of Forestry & Natural Resources)研究科学家(RESEARCH SCIENTIST)和博士生导师 (GRADUATE FACULTY),长期致力于统计学、人工林生产力生态、干扰生态、数量生态等方面的研究,尤其在生态建模、美国南方松林的生长与收获量模型、森林经营与碳循环等方面取得了突出成就,研究成果发表在Ecological Modeling,Forest Ecology and Management,Forest Science,Annals of Forest Science,Canadian Journal of Forest Research 等林学领域的国际主流学术刊物上。已发表学术论文44篇,英文专著1部,专题技术报告16篇;主持或共同主持美国联邦政府和州政府科研项目6项。是多个国际学术期刊的审稿人和美国自然科学基金项目评审专家。
欢迎广大师生参与讲座和讨论。
代表性论文
Zhao, D. H., et al. (2016). "Maximum response of loblolly pine plantations to silvicultural management in the southern United States." Forest Ecology and Management 375: 105-111.
Zhao, D. H., et al. (2015). "Additive Tree Biomass Equations for Midrotation Loblolly Pine Plantations." Forest Science 61(4): 613-623.
Zhao, D. H., et al. (2014). "Impact of management on nutrients, carbon, and energy in aboveground biomass components of mid-rotation loblolly pine (Pinus taeda L.) plantations." Annals of Forest Science 71(8): 843-851.
Zhao, D. H. and M. Kane (2012). "Differences in growth dynamics of loblolly and slash pine plantations in the southeastern United States." Forest Ecology and Management 281: 84-92.
Zhao, D. H., et al. (2012). "Effects of cultural intensity and planting density on stand-level aboveground biomass production and allocation for 12-year-old loblolly pine plantations in the Upper Coastal Plain and Piedmont of the southeastern United States." Canadian Journal of Forest Research 42(1): 111-122.
Zhao, D. H., et al. (2011). "Growth responses to planting density and management intensity in loblolly pine plantations in the southeastern USA Lower Coastal Plain." Annals of Forest Science 68(3): 625-635.
Zhao, D. H., et al. (2010). "Development and applications of the relative spacing model for loblolly pine plantations." Forest Ecology and Management 259(10): 1922-1929.
Zhao, D. H., et al. (2009). "Long-Term Effects of Site Preparation Treatments, Complete Competition Control, and Repeated Fertilization on Growth of Slash Pine Plantations in the Flatwoods of the Southeastern United States." Forest Science 55(5): 403-410.
Zhao, D. H., et al. (2009). "Site preparation and competing vegetation control affect loblolly pine long-term productivity in the southern Piedmont/Upper Coastal Plain of the United States." Annals of Forest Science 66(7).
Zhao, D., et al. (2008). "Pine growth response to different site-preparation methods with or without post-plant herbaceous weed control on North Florida's Lower Coastal Plain." Forest Ecology and Management 255(7): 2512-2523.
Zhao, D., et al. (2007). "Modeling mortality of second-rotation loblolly pine plantations in the Piedmont/Upper Coastal Plain and Lower Coastal Plain of the southern United States." Forest Ecology and Management 252(1-3): 132-143.
Zhao, D. H., et al. (2006). "Twelve year response of old-growth southeastern bottomland hardwood forests to disturbance from Hurricane Hugo." Canadian Journal of Forest Research 36(12): 3136-3147.
Zhao, D. H., et al. (2006). "Survival model for fusiform rust infected loblolly pine plantations with and without mid-rotation understorey vegetation control." Forest Ecology and Management 235(1-3): 232-239.
Zhao, D. H., et al. (2006). "Modeling neighborhood effects on the growth and survival of individual trees in a natural temperate species-rich forest." Ecological Modelling 196(1-2): 90-102.
Zhao, D., et al. (2005). "A density-dependent matrix model for bottomland hardwood stands in the Lower Mississippi Alluvial Valley." Ecological Modelling 184(2-4): 381-395.
Zhao, D. H., et al. (2004). "Individual-tree diameter growth and mortality models for bottomland mixed-species hardwood stands in the lower Mississippi alluvial valley." Forest Ecology and Management 199(2-3): 307-322.
Zhao, D. H., et al. (2005). "Modeling response curves and testing treatment effects in repeated measures experiments: a multilevel nonlinear mixed-effects model approach." Canadian Journal of Forest Research 35(1): 122-132.
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