DOI: 10.1016/j.foreco.2013.10.012
Scopus记录号: 2-s2.0-84893941347
论文题名: Analysing structural diversity in two temperate forests in northeastern China
作者: Ni R. ; Baiketuerhan Y. ; Zhang C. ; Zhao X. ; Gadow K.V.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 316 起始页码: 139
结束页码: 147
语种: 英语
英文关键词: Bivariate mixtures
; Nearest neighbour statistics
; Second order statistics
; Spatial structure
英文摘要: This contribution presents an analysis of the structural diversity in two temperate forest ecosystems in northeastern China, based on two large contiguous observational studies covering an area of 5.2ha (260×200m2) each. The total number of living trees in the conifer and broad-leaved forest (CBF) study area is 2927 per ha, comprising 37 species and 21 genera. The old growth forest (OGF) study area has 2276 trees per ha, including 22 species and 13 genera. Tree species are classified according to their community status as mature and immature canopy, subcanopy and shrub. A clustering process based on two distinct communities of the bivariate dbh/height distributions is used to differentiate between mature and immature canopy species. Numerical analysis is based on these four distinct cohorts. Despite advances in remote sensing, mapped tree data in large observation windows are very rare. Thus, we are able to use methods for analysing forest structure which are suitable for both, unmapped and mapped data. The two data sets are unique in that all (approximately) 27,000 tree heights are available. Accordingly, it was possible to fit bimodal height distributions and bivariate mixed dbh/height distributions to almost all individual species that were represented by sufficiently large numbers. Methods of second order statistics (SOC), including marked point statistics as well as nearest neighbor statistics (NNS) based on nearest neighbourhood structure units are also presented, including bivariate mixtures of the NNS attributes "mingling" and "dominance". Mark correlations were investigated for several marks, including diameters, heights and nearest neighbor statistics. Finally, we discuss the most important results and motivate the need for detailed assessments in large contiguous field plots. The literature on spatial statistics is often rather technical, and there is relatively little exchange between mathematicians developing the theory and ecologists who have interesting data from observational studies, such as presented in this contribution. © 2013. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66092
Appears in Collections: 影响、适应和脆弱性
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作者单位: Key Laboratory for Forest Resources and Ecosystem Processes of Beijing, Beijing Forestry University, Beijing 100083, China; College of Forestry and Horticulture, Xinjiang Agricultural University, Urmqi 830052, China; Faculty of Forestry and Forest Ecology, Georg-August-University Göttingen, Büsgenweg 5, D-37077 Göttingen, Germany; Dept. of Forest and Wood Science, University of Stellenbosch, South Africa
Recommended Citation:
Ni R.,Baiketuerhan Y.,Zhang C.,et al. Analysing structural diversity in two temperate forests in northeastern China[J]. Forest Ecology and Management,2014-01-01,316