DOI: 10.1016/j.foreco.2017.07.042
Scopus记录号: 2-s2.0-85027883003
论文题名: How can seed removal rates of zoochoric tree species be assessed quickly and accurately?
作者: Hambuckers J. ; Dauvrin A. ; Trolliet F. ; Evrard Q. ; Forget P.-M. ; Hambuckers A.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2017
卷: 403 起始页码: 152
结束页码: 160
语种: 英语
英文关键词: Afzelia bipindensis
; Bootstrap
; Dialium pachyphyllum/Dialium zenkeri
; Mean squared error (MSE)
; Xylopia staudtii
Scopus关键词: Animals
; Crops
; Errors
; Estimation
; Fruits
; Mean square error
; Statistical methods
; Afzelia bipindensis
; Bootstrap
; Dialium pachyphyllum/Dialium zenkeri
; Mean squared error
; Xylopia staudtii
; Forestry
; Afzelia bipindensis
; Animalia
; Dialium
; Xylopia
英文摘要: The quantification of seed dispersal and predation processes has been gaining increased importance in the assessment of forest responses to anthropogenic disturbance, but also in developing an understanding of forest dynamics facing particular reproductive strategies. Seed removal rate is a reliable estimator of animal activities relating to these processes and can be quickly and easily estimated using a rapid assessment method (RAM) described by Lermyte and Forget (2009) and Boissier et al. (2014). This method consists in selecting trees reaching a given fruit crop in plots of interest and estimating, under each tree, the proportion of removed seeds in a single quadrat among the places having the highest crops; the proportion of removed seeds is obtained by enumeration of fruit scraps and intact fruits and estimation of their seed contents. The objective of this work is to evaluate the reliability of this method and to propose alternative estimation protocols (APs) in order to obtain an index of animal interaction with seeds. To do so, we estimated produced and removed seed numbers in up to 30 random 1 sq.m. quadrats under a total of 19 trees of Afzelia bipindensis, Dialium pachyphyllum/zenkeri and Xylopia staudtii. Secondly, we investigated the influence of tree size and fruit production on seed removal rate using a generalized linear mixed model. Thirdly, we used a generalized linear mixed model and a bootstrap procedure to test if RAM and APs are biased. Then, we compared their accuracy throughout their mean squared error, also obtained with a bootstrap approach. Despite its interesting accuracy, we showed that the RAM is positively biased. Removal rate was obviously influenced by canopy size and fruit production whereas the quadrats with higher fruit production have higher seed removal rates. Thus, trees with representative sizes and crops of the studied plots have to be sampled. Secondly, as an AP, random selection of several quadrats was found to be the best method. Based on these results, we recommend using the mean of three random quadrats per tree to estimate seed removal rate. It is an unbiased estimator, more accurate and more time efficient than the RAM. However, attention should be paid to select a proper quadrat size, in line with seed and fruit numbers, since the accuracy of the methods depends on these quantities. Such a choice could be made using a mean squared error criterion obtained from a preliminary intensive sampling of some specimens of the focal species. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/64129
Appears in Collections: 影响、适应和脆弱性
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作者单位: Georg-August University Göttingen, Chair of Statistics, 3 Humboldtallee, Göttingen, Germany; Université de Liège, UR SPHERES, Biologie du comportement, 22 Quai Van Beneden, Liège, Belgium; Université de Liège, Gembloux Agro-Bio Tech, TERRA & BIOSE, Gestion des Ressources Forestières, Foresterie Tropicale, Passage des Déportés 2, 5030 Gembloux, Belgium; Muséum National d'Histoire Naturelle, UMR 7179 CNRS-MNHN, Département Ecologie et gestion de la biodiversité, 1 avenue du Petit Château, Brunoy, France
Recommended Citation:
Hambuckers J.,Dauvrin A.,Trolliet F.,et al. How can seed removal rates of zoochoric tree species be assessed quickly and accurately?[J]. Forest Ecology and Management,2017-01-01,403