Remotely Sensed Spectral Heterogeneity As a Proxy of Species Diversity: Recent Advances and Open Challenges
Document Type
Article
Publication Date
9-1-2010
Department
Coastal Sciences, Gulf Coast Research Laboratory
Abstract
Environmental heterogeneity is considered to be one of the main factors associated with biodiversity given that areas with highly heterogeneous environments can host more species due to their higher number of available niches In this view, spatial variability extracted from remotely sensed images has been used as a proxy of species diversity, as these data provide an inexpensive means of deriving environmental information for large areas in a consistent and regular manner. The aim of this review is to provide an overview of the state of the art in the use of spectral heterogeneity for estimating species diversity. We will examine a number of issues related to this theme, dealing with i) the main sensors used for biodiversity monitoring, ii) scale matching problems between remotely sensed and field diversity data, iii) spectral heterogeneity measurement techniques, iv) types of species taxonomic diversity measures and how they influence the relationship between spectral and species diversity, v) spectral versus genetic diversity, and vi) modeling procedures for relating spectral and species diversity. Our review suggests that remotely sensed spectral heterogeneity information provides a crucial baseline for rapid estimation or prediction of biodiversity attributes and hotspots in space and time (C) 2010 Elsevier B.V. All rights reserved.
Publication Title
Ecological Informatics
Volume
5
Issue
5
First Page
318
Last Page
329
Recommended Citation
Rocchini, D.,
Balkenhol, N.,
Carter, G. A.,
Foody, G. M.,
Gillespie, T. W.,
He, K. S.,
Kark, S.,
Lucas, K. L.,
Luoto, M.,
Nagendra, H.,
Oldeland, J.,
Ricotta, C.,
Southworth, J.,
Neteler, M.
(2010). Remotely Sensed Spectral Heterogeneity As a Proxy of Species Diversity: Recent Advances and Open Challenges. Ecological Informatics, 5(5), 318-329.
Available at: https://aquila.usm.edu/fac_pubs/829