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A morphometric analysis of vegetation patterns in dryland ecosystems

Mander, Luke; Dekker, Stefan C.; Li, Mao; Mio, Washington; Punyasena, Surangi W. and Lenton, Timothy M. (2017). A morphometric analysis of vegetation patterns in dryland ecosystems. Royal Society Open Science, 4, article no. 160443.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1098/rsos.160443
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Abstract

Vegetation in dryland ecosystems often forms remarkable spatial patterns. These range from regular bands of vegetation alternating with bare ground, to vegetated spots and labyrinths, to regular gaps of bare ground within an otherwise continuous expanse of vegetation. It has been suggested that spotted vegetation patterns could indicate that collapse into a bare ground state is imminent, and the morphology of spatial vegetation patterns, therefore, represents a potentially valuable source of information on the proximity of regime shifts in dryland ecosystems. In this paper, we have developed quantitative methods to characterize the morphology of spatial patterns in dryland vegetation. Our approach is based on algorithmic techniques that have been used to classify pollen grains on the basis of textural patterning, and involves constructing feature vectors to quantify the shapes formed by vegetation patterns. We have analysed images of patterned vegetation produced by a computational model and a small set of satellite images from South Kordofan (South Sudan), which illustrates that our methods are applicable to both simulated and real-world data. Our approach provides a means of quantifying patterns that are frequently described using qualitative terminology, and could be used to classify vegetation patterns in large-scale satellite surveys of dryland ecosystems.

Item Type: Journal Item
Copyright Holders: 2017 The Authors
ISSN: 2054-5703
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetPIIF-GA-2012-328245EU
Keywords: vegetation patterns; morphology; morphometrics; ecohydrology; computational vision
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 50350
Depositing User: Luke Mander
Date Deposited: 28 Jul 2017 09:42
Last Modified: 30 May 2019 22:01
URI: http://oro.open.ac.uk/id/eprint/50350
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