Toggle Main Menu Toggle Search

ePrints

Quantitative environmental reconstructions from biological data

Lookup NU author(s): Professor Steve Juggins

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

Quantitative reconstructions of past environmental conditions (e.g., lake-water pH) are an important part of palaeolimnology. Such reconstructions involve three steps: (1) the development of a representative modern organism-environment training-set, (2) the development and application of appropriate numerical techniques to model the relationship between modern occurrences and abundances of the organisms in the training-set and their contemporary environment, and (3) the application of this model to stratigraphical palaeolimnological data to infer past environmental conditions, and model selection, testing, and evaluation and assessment of the final reconstruction. These three stages are discussed. Problems of spatial autocorrelation are outlined. The general approach is illustrated by a case-study. The assumptions and limitation of the calibration-function approach are presented, and violations of these assumptions are discussed in relation to different environmental reconstructions. Appropriate computer software is outlined, and future research areas are presented. The chapter challenges palaeolimnologists to be more critical of their environmental-inference models and to be alert to the problems and dangers of confounding variables, and of violating the main assumptions of the approach.


Publication metadata

Author(s): Juggins S, Birks HJB

Editor(s): Birks, H.J.B., Lotter, A.F., Juggins, S., Smol, J.P.

Publication type: Book Chapter

Book Title: Tracking Environmental Change using Lake Sediments: Data Handling and Statistical Techniques

Year: 2012

Volume: 5

Pages: 431-494

Series Title: Developments in Paleoenvironmental Research, Vol. 5

Publisher: Springer

Place Published: Dordrecht

Library holdings: Search Newcastle University Library for this item

ISBN: 9789400727441


Actions

Link to this publication


Share