DOI: 10.1016/j.quascirev.2013.10.006
Scopus记录号: 2-s2.0-84886651059
论文题名: Palynological perspectives on vegetation survey: A critical step for model-based reconstruction of Quaternary land cover
作者: Bunting M.J. ; Farrell M. ; Broström A. ; Hjelle K.L. ; Mazier F. ; Middleton R. ; Nielsen A.B. ; Rushton E. ; Shaw H. ; Twiddle C.L.
刊名: Quaternary Science Reviews
ISSN: 2773791
出版年: 2013
卷: 82 起始页码: 41
结束页码: 55
语种: 英语
英文关键词: Community mapping
; Distance-weighted plant abundance
; Pollen dispersal and deposition models
; Pollen surface sample
; Prentice-Sugita model of pollen dispersal and deposition
; Remote sensing data
; Sutton model
; Vegetation data processing
Scopus关键词: Deposition models
; Distance-weighted plant abundance
; Pollen dispersal
; Remote sensing data
; Surface sample
; Calibration
; Data processing
; Deposition
; Estimation
; Product design
; Productivity
; Research
; Sedimentology
; Surveys
; Vegetation
; biome
; calibration
; climate change
; climate modeling
; dispersal
; estimation method
; land cover
; palynology
; Quaternary
; surveying
; vegetation
; Europe
英文摘要: 1. Quantitative reconstruction of past vegetation distribution and abundance from sedimentary pollen records provides an important baseline for understanding long term ecosystem dynamics and for the calibration of earth system process models such as regional-scale climate models, widely used to predict future environmental change. Most current approaches assume that the amount of pollen produced by each vegetation type, usually expressed as a relative pollen productivity term, is constant in space and time.2. Estimates of relative pollen productivity can be extracted from extended R-value analysis (Parsons and Prentice, 1981) using comparisons between pollen assemblages deposited into sedimentary contexts, such as moss polsters, and measurements of the present day vegetation cover around the sampled location. Vegetation survey method has been shown to have a profound effect on estimates of model parameters (Bunting and Hjelle, 2010), therefore a standard method is an essential pre-requisite for testing some of the key assumptions of pollen-based reconstruction of past vegetation; such as the assumption that relative pollen productivity is effectively constant in space and time within a region or biome.3. This paper systematically reviews the assumptions and methodology underlying current models of pollen dispersal and deposition, and thereby identifies the key characteristics of an effective vegetation survey method for estimating relative pollen productivity in a range of landscape contexts.4. It then presents the methodology used in a current research project, developed during a practitioner workshop. The method selected is pragmatic, designed to be replicable by different research groups, usable in a wide range of habitats, and requiring minimum effort to collect adequate data for model calibration rather than representing some ideal or required approach. Using this common methodology will allow project members to collect multiple measurements of relative pollen productivity for major plant taxa from several northern European locations in order to test the assumption of uniformity of these values within the climatic range of the main taxa recorded in pollen records from the region. © 2013 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/60438
Appears in Collections: 过去全球变化的重建
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作者单位: Department of Geography, Environment and Earth Sciences, University of Hull, Cottingham Road, Hull, HU6 7RX, United Kingdom; Department of Geology, Lund University, Lund, Sweden; Natural History Collections, University of Bergen, Allégt. 41, N-5007 Bergen, Norway; CNRS GEODE, Toulouse University Mirail, UMR 5602, F-31058 Toulouse, France; School of Geography, University of Nottingham, Nottingham, NG7 2RD, United Kingdom; Lancaster Environment Centre, Lancaster University, Bailrigg, Lancaster, LA1 4YQ, United Kingdom; School of Geosciences, University of Aberdeen, Aberdeen, AB24 3UF, United Kingdom
Recommended Citation:
Bunting M.J.,Farrell M.,Broström A.,et al. Palynological perspectives on vegetation survey: A critical step for model-based reconstruction of Quaternary land cover[J]. Quaternary Science Reviews,2013-01-01,82