DOI: 10.1016/j.foreco.2013.05.048
Scopus记录号: 2-s2.0-84887616577
论文题名: Detecting the nitrogen critical loads on European forests by means of epiphytic lichens. A signal-to-noise evaluation
作者: Giordani P. ; Calatayud V. ; Stofer S. ; Seidling W. ; Granke O. ; Fischer R.
刊名: Forest Ecology and Management
ISSN: 0378-1127
出版年: 2014
卷: 311 起始页码: 29
结束页码: 40
语种: 英语
英文关键词: Biomonitoring
; Deposition
; Forest monitoring
; Indicators
; Macrolichens
Scopus关键词: Deposition
; Fungi
; Indicators (instruments)
; Nitrogen
; Nitrogen compounds
; Regression analysis
; Biomonitoring
; Epiphytic lichens
; Explanatory variables
; Forest monitoring
; Hierarchical partitioning
; Macrolichens
; Multiple regression model
; Nitrogen deposition
; Forestry
; atmospheric deposition
; bioindicator
; biomonitoring
; critical load
; data set
; detection method
; epiphyte
; lichen
; signal-to-noise ratio
; throughfall
; Deposition
; Fungi
; Indicators
; Lichens
; Nitrogen Compounds
; Regression Analysis
; Europe
英文摘要: Lichens are considered to be among the most sensitive organisms for several types of pollutants. In this work, we analyzed a dataset of 286 epiphytic lichen species observed on 1155 trees at 83 ForestBIOTA plots, which is a subsample of approx. 500 plots of the European ICP Forests Level II network. We aimed at examining the amount of nitrogen deposition for which a significant variation of the relative diversity of morpho-functional groups of epiphytic lichens in the sampled plots is expected. Moreover, the study aimed at determining how much variance of these diversity variables could be explained by nitrogen depositions only. We used correlation and multiple regression models as well as hierarchical partitioning to evaluate the relative importance of environmental predictors in explaining variation in lichen diversity descriptors. The analysis splits the variation explained by each variable into a joint effect together with the other explanatory variables, and into an independent effect not shared with any other variable. The percentage of macrolichens in the plots was shown to be the most important indicator, since 56.7% of its variation could be explained by deposition, particularly by nitrogen compounds. It was shown that approx. 75% of the ForestBIOTA plots are affected by an unsustainably high throughfall nitrogen deposition. Based on these outcomes, it was possible to determine a nitrogen critical load of 2.4kgha-1yr-1. © 2013 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66221
Appears in Collections: 影响、适应和脆弱性
There are no files associated with this item.
作者单位: Botanic Centre Hanbury, DISTAV, University of Genova, Corso Dogali 1M, I-16136 Genova, Italy; Fundación Centro de Estudios Ambientales del Mediterráneo (CEAM), Spain; Swiss Federal Research Insitute WSL, Biodiversity and Conservation Biology, Switzerland; Thünen Institute of Forest Ecosystems, Germany; Digsyland, Institut für Digitale Systemanalyse and Landschaftsdiagnose, Germany; Thünen Institute for World Forestry, Germany
Recommended Citation:
Giordani P.,Calatayud V.,Stofer S.,et al. Detecting the nitrogen critical loads on European forests by means of epiphytic lichens. A signal-to-noise evaluation[J]. Forest Ecology and Management,2014-01-01,311