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Issue 4, 2010
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Spectral variation versus species β-diversity at different spatial scales: a test in African highland savannas

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Abstract

Few studies exist that explicitly analyse the effect of grain, i.e. the sampling unit dimension, on vascular plant species turnover (β-diversity) among sites. While high β-diversity is often a result of high environmental heterogeneity, remotely sensed spectral distances among sampling units may be used as a proxy of environmental gradients which spatially shape the patterns of species turnover. In this communication, we aimed to (i) test the potential relation between spectral variation and species β-diversity in a savanna environment and to (ii) investigate the effect of grain on the achieved patterns. Field data gathered by the BIOTA Southern Africa biodiversity monitoring programme were used to model the relation between spectral variation and species turnover at different spatial grains (10 m × 10 m and 20 m × 50 m). Our results indicate that the overall fit was greater at the larger grain size, confirming the theoretical assumption that using a lower grain size would generally lead to a higher noise in the calculation of species turnover. This communication represents one of the first attempts at relating β-diversity to spectral variation, while incorporating the effects of grain size in the study. The results of this study could have significant implications for biodiversity research and conservation planning at a regional or even larger spatial scale.

Graphical abstract: Spectral variation versus species β-diversity at different spatial scales: a test in African highland savannas

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Publication details

The article was received on 19 Oct 2009, accepted on 12 Jan 2010 and first published on 16 Feb 2010


Article type: Communication
DOI: 10.1039/B921835A
Citation: J. Environ. Monit., 2010,12, 825-831
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    Spectral variation versus species β-diversity at different spatial scales: a test in African highland savannas

    D. Rocchini, K. S. He, J. Oldeland, D. Wesuls and M. Neteler, J. Environ. Monit., 2010, 12, 825
    DOI: 10.1039/B921835A

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