DOI: 10.1016/j.foreco.2014.05.045
Scopus记录号: 2-s2.0-84902959643
论文题名: Estimating tropical tree diversity indices from forestry surveys: A method to integrate taxonomic uncertainty
作者: Guitet S. ; Sabatier D. ; Brunaux O. ; Hérault B. ; Aubry-Kientz M. ; Molino J.-F. ; Baraloto C.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 328 起始页码: 270
结束页码: 281
语种: 英语
英文关键词: Diversity
; French guiana
; Landscape scale
; Monte-Carlo process
; Rainforest
; Tree community
Scopus关键词: Reliability
; Surveys
; Timber
; Uncertainty analysis
; Diversity
; French Guiana
; Landscape scale
; Rainforest
; Tree community
; Forestry
; estimation method
; forest inventory
; herbarium
; landscape
; numerical model
; species diversity
; taxonomy
; uncertainty analysis
; Forestry
; Forests
; Reliability
; Surveys
; French Guiana
英文摘要: Analyses of tree diversity and community composition in tropical rain forests are usually based either on general herbarium data or on a restricted number of botanical plots. Despite their high taxonomic accuracy, both types of data are difficult to extrapolate to landscape scales. Meanwhile, forestry surveys provide quantitative occurrence data on large areas, and are thus increasingly used for landscape-scale analyses of tree diversity. However, the reliability of these approaches has been challenged because of the ambiguity of the common (vernacular) names used by foresters and the complexity of tree taxonomy in those hyper-diverse communities.We developed and tested a novel approach to evaluate taxonomic reliability of forestry surveys and to propagate the resulting uncertainty in the estimates of several diversity indicators (alpha and beta entropy, Fisher-alpha and Sørensen similarity). Our approach is based on Monte-Carlo processes that simulate communities by taking into account the expected accuracy and reliability of common names. We tested this method in French Guiana, on 9 one-hectare plots (4279 trees - DBH. ≥. 10. cm) for which both common names and standardized taxonomic determinations were available. We then applied our method of community simulation on large forestry inventories (560. ha) at the landscape scale and compared the diversity indices obtained for 10 sites with those computed from precise botanical determination situated at the same localities.We found that taxonomic reliability of forestry inventories varied from 22% (species level) to 83% (family level) in this Amazonian region. Indices computed directly with raw forestry data resulted in incorrect values, except for Gini-Simpson beta-diversity. On the contrary, our correction method provides more accurate diversity estimates, highly correlated with botanical measurements, for almost all diversity indices at both regional and local scales. We obtained a robust ranking of sites consistent with those shown by botanical inventories.These results show that (i) forestry inventories represent a significant part of taxonomic information, (ii) the relative diversity of regional sites can be successfully ranked using forestry inventory data using our method and (iii) forestry inventories can valuably contribute to the detection of large-scale diversity patterns when biases are well-controlled and corrected.The tools we developed as R-functions are available in supplementary material and can be adapted with local parameters to be used for forest management and conservation issues in other regional contexts. © 2014 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/65866
Appears in Collections: 影响、适应和脆弱性
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作者单位: ONF, Direction Régionale de Guyane, 97307 Cayenne, French Guiana; INRA, UMR Amap, TA A51/PS2, 34398 Montpellier Cedex 5, France; IRD, UMR Amap, TA A51/PS2, 34398 Montpellier Cedex 5, France; CIRAD, UMR EcoFoG, 97387 Kourou Cedex, French Guiana; INRA, UMR EcoFoG, 97387 Kourou Cedex, French Guiana
Recommended Citation:
Guitet S.,Sabatier D.,Brunaux O.,et al. Estimating tropical tree diversity indices from forestry surveys: A method to integrate taxonomic uncertainty[J]. Forest Ecology and Management,2014-01-01,328