Investigating species-environment relationships at multiple scales: Differentiating between intrinsic scale and the modifiable areal unit problem

Lechner, A, Langford, W, Jones, S, Bekessy, S and Gordon, A 2012, 'Investigating species-environment relationships at multiple scales: Differentiating between intrinsic scale and the modifiable areal unit problem', Ecological Complexity, vol. 11, pp. 91-102.


Document type: Journal Article
Collection: Journal Articles

Title Investigating species-environment relationships at multiple scales: Differentiating between intrinsic scale and the modifiable areal unit problem
Author(s) Lechner, A
Langford, W
Jones, S
Bekessy, S
Gordon, A
Year 2012
Journal name Ecological Complexity
Volume number 11
Start page 91
End page 102
Total pages 12
Publisher Elsevier
Abstract In ecology, multi-scale analyses are commonly performed to identify the scale at which a species interacts with its environment (intrinsic scale). This is typically carried out using multi-scale species' environment models that compare the relationship between ecological attributes (e.g., species diversity) measured with point data to environmental data (e.g. vegetation cover) for the surrounding area within buffers of multiple sizes. The intrinsic scale is identified as the buffer size at which the highest correlation between environmental and ecological variables occurs. We present the first investigation of how the spatial resolution of remote sensing environmental data can influence the identification of the intrinsic scale using multi-scale species-environment models. Using the virtual ecologist approach we tested this influence using vegetation cover spatial data and a simulated species-environment relationship derived from the same spatial data.
Subject Conservation and Biodiversity
Simulation and Modelling
Geospatial Information Systems
Keyword(s) Multi-scale
Modifiable areal unit problem
Spatial resolution
Spatial uncertainty
Remote sensing
Species-environment relationships
Virtual ecologist
Simulation modelling
DOI - identifier 10.1016/j.ecocom.2012.04.002
Copyright notice © 2012 Elsevier B.V. All rights reserved.
ISSN 1476-945X
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Citation counts: TR Web of Science Citation Count  Cited 25 times in Thomson Reuters Web of Science Article | Citations
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