Disentangling the role of remotely sensed spectral heterogeneity as a proxy for North American plant species richness

D. Rocchini; L. Dadalt; L. Delucchi; M. Neteler; M.W. Palmer

doi:10.1556/comec.15.2014.1.4

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Community Ecology

Volume/Issue:: Volume 15: Issue 1

Disentangling the role of remotely sensed spectral heterogeneity as a proxy for North American plant species richness

Authors:

D. Rocchini

D. Rocchini Fondazione Edmund Mach, Research and Innovation Centre Department of Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit Via E. Mach 1 38010 S. Michele all’Adige (TN) Italy

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L. Dadalt

L. Dadalt Oklahoma State University Department of Botany Stillwater OK 74078 USA

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L. Delucchi

L. Delucchi Fondazione Edmund Mach, Research and Innovation Centre Department of Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit Via E. Mach 1 38010 S. Michele all’Adige (TN) Italy

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M. Neteler

M. Neteler Fondazione Edmund Mach, Research and Innovation Centre Department of Biodiversity and Molecular Ecology, GIS and Remote Sensing Unit Via E. Mach 1 38010 S. Michele all’Adige (TN) Italy

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M.W. Palmer

M.W. Palmer Oklahoma State University Department of Botany Stillwater OK 74078 USA

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Pages:: 37–43

Online Publication Date:: 14 Mar 2014

Publication Date:: 01 Jun 2014

Article Category:: Research Article

DOI:: https://doi.org/10.1556/comec.15.2014.1.4

Keywords:: Area effects; Species diversity; Spectral variation hypothesis; Variance partitioning.

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Due to the difficulties of field-based species data collection at wide spatial scales, remotely sensed spectral diversity has been advocated as one of the most effective proxies of ecosystem and species diversity. It is widely accepted that the relationship between species and spectral diversity is scale dependent. However, few studies have evaluated the impacts of scale on species diversity estimates from remote sensing data. In this paper we tested the species versus spectral relationship over very large scales (extents) with a varying spatial grain using floristic data of North America. Spectral diversity explained a low amount of variance while spatial extent of the sampling units (floras) explained a high amount of variance based on results from our variance partitioning analyses. This leads to the conclusion that spectral diversity must be carefully related to species diversity, explicitly taking into account potential area effects.

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Community Ecology An Interdisciplinary Journal Reporting Progress in Community and Population Studies

Print ISSN:: 1585-8553

Online ISSN:: 1588-2756

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Community Ecology
Language	English
Size	A4
Year of Foundation	2000
Volumes per Year	1
Issues per Year	3
Founder	Akadémiai Kiadó
Founder's Address	H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher	Akadémiai Kiadó Springer Nature Switzerland AG
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ISSN	1585-8553 (Print)
ISSN	1588-2756 (Online)