DOI: 10.1016/j.foreco.2016.09.050
Scopus记录号: 2-s2.0-84991716543
论文题名: Modelling tree recruitment in relation to climate and competition in semi-natural Larix-Picea-Abies forests in northeast China
作者: Xiang W. ; Lei X. ; Zhang X.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2016
卷: 382 起始页码: 100
结束页码: 109
语种: 英语
英文关键词: Climate
; Natural regeneration
; Site effect
; Stand density
; Tree recruitment
; Zero-inflated negative binomial model
Scopus关键词: Bins
; Climate change
; Climate models
; Mixtures
; Random processes
; Reforestation
; Stochastic models
; Stochastic systems
; Climate
; Natural regeneration
; Negative binomial models
; Site effects
; Stand densities
; Tree recruitments
; Forestry
; Abies
; Coniferophyta
; Larix
; Picea
; Picea abies
英文摘要: Tree recruitment models are important tools for predicting forest dynamics, especially for long-term projections of future forest composition. However, as a highly variable, complicated, and largely stochastic process, tree recruitment remains difficult to accurately model. Traditional models neglect climatic variables and are not applicable to forest growth and yield projections under climatic change. In this study, we developed tree recruitment models including site condition, competition, and climate for semi-natural larch-spruce-fir forests under thinning treatments in northeast China. Negative binomial mixture models (zero-inflated and Hurdle models) and Poisson mixture models were compared, with the zero-inflated negative binomial model found to be the best model. Stand density variables (stem density or basal area) were found to be significant for all species categories (larch, conifers, and hardwoods). Additionally, site condition was found to be an important factor affecting recruitment. Four climatic variables, mean annual temperature, annual minimum temperature, growing season minimum temperature, and mean annual temperature divided by mean annual precipitation were found to be directly related to recruitment count. Variance analysis showed significant species-specific thinning effects on tree recruitment. Disentangling different sources of variation in tree recruitment will help further our understanding of the factors driving tree recruitment during climatic change. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64643
Appears in Collections: 影响、适应和脆弱性
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作者单位: Key Laboratory for Silviculture and Conservation of Ministry of Education, School of Forestry, Beijing Forestry University, Beijing, China; Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China; Research Institute of Forestry, Chinese Academy of Forestry, Beijing, China
Recommended Citation:
Xiang W.,Lei X.,Zhang X.. Modelling tree recruitment in relation to climate and competition in semi-natural Larix-Picea-Abies forests in northeast China[J]. Forest Ecology and Management,2016-01-01,382