DOI: 10.1111/gcb.12599
论文题名: The influence of sampling design on tree-ring-based quantification of forest growth
作者: Nehrbass-Ahles C. ; Babst F. ; Klesse S. ; Nötzli M. ; Bouriaud O. ; Neukom R. ; Dobbertin M. ; Frank D.
刊名: Global Change Biology
ISSN: 13541013
出版年: 2014
卷: 20, 期: 9 起始页码: 2867
结束页码: 2885
语种: 英语
英文关键词: Carbon cycle
; Climate reconstruction
; Climate response
; Forest productivity
; Growth trends
; Sampling bias
; Tree-rings
Scopus关键词: carbon cycle
; climate change
; dendroclimatology
; forest dynamics
; growth rate
; growth response
; sampling bias
; tree ring
; anatomy and histology
; climate change
; forest
; growth, development and aging
; methodology
; plant stem
; selection bias
; Switzerland
; tree
; Climate Change
; Forests
; Plant Stems
; Research Design
; Selection Bias
; Switzerland
; Trees
英文摘要: Tree-rings offer one of the few possibilities to empirically quantify and reconstruct forest growth dynamics over years to millennia. Contemporaneously with the growing scientific community employing tree-ring parameters, recent research has suggested that commonly applied sampling designs (i.e. how and which trees are selected for dendrochronological sampling) may introduce considerable biases in quantifications of forest responses to environmental change. To date, a systematic assessment of the consequences of sampling design on dendroecological and-climatological conclusions has not yet been performed. Here, we investigate potential biases by sampling a large population of trees and replicating diverse sampling designs. This is achieved by retroactively subsetting the population and specifically testing for biases emerging for climate reconstruction, growth response to climate variability, long-term growth trends, and quantification of forest productivity. We find that commonly applied sampling designs can impart systematic biases of varying magnitude to any type of tree-ring-based investigations, independent of the total number of samples considered. Quantifications of forest growth and productivity are particularly susceptible to biases, whereas growth responses to short-term climate variability are less affected by the choice of sampling design. The world's most frequently applied sampling design, focusing on dominant trees only, can bias absolute growth rates by up to 459% and trends in excess of 200%. Our findings challenge paradigms, where a subset of samples is typically considered to be representative for the entire population. The only two sampling strategies meeting the requirements for all types of investigations are the (i) sampling of all individuals within a fixed area; and (ii) fully randomized selection of trees. This result advertises the consistent implementation of a widely applicable sampling design to simultaneously reduce uncertainties in tree-ring-based quantifications of forest growth and increase the comparability of datasets beyond individual studies, investigators, laboratories, and geographical boundaries. © 2014 John Wiley & Sons Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62242
Appears in Collections: 影响、适应和脆弱性
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作者单位: Swiss Federal Research Institute WSL, Zürcherstrasse 111, Birmensdorf, CH-8903, Switzerland; Laboratory of Tree-Ring Research, University of Arizona, 1215 E Lowell St, Tucson, AZ, 85721, United States; Oeschger Centre for Climate Change Research, University of Bern, Zähringerstrasse 25, Bern, CH-3012, Switzerland; National Forest Inventory, Forest Research and Management Institute, ICAS, 128 Bulevardul Eroilor, Voluntari, O77190, Romania; Department of Geography, University of Zurich, Zurich, CH-8057, Switzerland; Climate and Environmental Physics, Physics Institute, University of Bern, Sidlerstrasse 5, Bern CH-3012, Switzerland; Oeschger Centre for Climate Change Research, University of Bern, Zähringerstrasse 25, Bern CH-3012, Switzerland
Recommended Citation:
Nehrbass-Ahles C.,Babst F.,Klesse S.,et al. The influence of sampling design on tree-ring-based quantification of forest growth[J]. Global Change Biology,2014-01-01,20(9)