Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study

Rocchini, Duccio and Bacaro, Giovanni and Chirici, Gherado and Da Re, Daniele and Feilhauer, Hannes and Foody, Giles M. and Galluzzi, Marta and Garzon-Lopez, Carol X. and Gillespie, Thomas W. and He, Kate S. and Lenoir, Jonathan and Marcantonio, Matteo and Nagendra, Harini and Ricotta, Carlo and Rommel, Edvinas and Schmidtlein, Sebastian and Skidmore, Andrew K. and Van de Kerchove, Ruben and Wegmann, Martin and Rugani, Benedetto (2017) Remotely sensed spatial heterogeneity as an exploratory tool for taxonomic and functional diversity study. Ecological Indicators, 85 . pp. 983-990. ISSN 1872-7034

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Abstract

Assessing biodiversity from field-based data is difficult for a number of practical reasons: (i) establishing the total number of sampling units to be investigated and the sampling design (e.g. systematic, random, stratified) can be difficult; (ii) the choice of the sampling design can affect the results; and (iii) defining the focal population of interest can be challenging. Satellite remote sensing is one of the most cost-effective and comprehensive approaches to identify biodiversity hotspots and predict changes in species composition. This is because, in contrast to field-based methods, it allows for complete spatial coverages of the Earth's surface under study over a short period of time. Furthermore, satellite remote sensing provides repeated measures, thus making it possible to study temporal changes in biodiversity. While taxonomic diversity measures have long been established, problems arising from abundance related measures have not been yet disentangled. Moreover, little has been done to account for functional diversity besides taxonomic diversity measures. The aim of this manuscript is to propose robust measures of remotely sensed heterogeneity to perform exploratory analysis for the detection of hotspots of taxonomic and functional diversity of plant species.

Item Type: Article
Keywords: cartograms; functional diversity; remote sensing; Rao's quadratic diversity; satellite imagery; spectral rarefaction; taxonomic diversity
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > School of Geography
Identification Number: 10.1016/j.ecolind.2017.09.055
Depositing User: Eprints, Support
Date Deposited: 05 Dec 2017 11:02
Last Modified: 15 Dec 2017 13:25
URI: http://eprints.nottingham.ac.uk/id/eprint/48535

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