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The use of matrix models to detect natural and pollution-induced forest gradients

Tucker, B.C. and Anand, M. (2003) The use of matrix models to detect natural and pollution-induced forest gradients. Community Ecology, 4 (1). pp. 89-100. ISSN 1585-8553

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Abstract

We sought to compare the efficacy of the stationary Markov model and conventional ordination techniques in describing compositional and structural changes in forest communities along natural and manmade spatial gradients at two scales, local and regional. Vegetation abundance and structure data are from six sites spanning a spatial gradient in the Great Lakes-St. Lawrence forests near Sudbury, Ontario, Canada. Ordination did not detect slope-related local gradients despite the general trend that, as distance from the pollution source increases, vegetation along the slopes begins to display Markovian spatial dynamics. We suggest that this is due to information loss resulting from static ordination analyses: information regarding transitions between observations along the natural ordering of quadrats is not maintained. Both ordination techniques and the Markov analyses detected strong regional pollution-induced gradients in abundance and structure.

Item Type: Article
Subjects: Q Science / természettudomány > QH Natural history / természetrajz > QH540 Ecology / ökológia
Depositing User: xBarbara xBodnár
Date Deposited: 11 Nov 2017 12:34
Last Modified: 11 Nov 2017 12:34
URI: http://real.mtak.hu/id/eprint/67421

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