Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges

Rocchini, Duccio, Balkenhol, Niko, Carter, Gregory A., Foody, Giles M., Gillespie, Thomas W., He, Kate S., Kark, Salit, Levin, Noam, Lucas, Kelly, Luoto, Miska, Nagendra, Harini, Oldeland, Jens, Ricotta, Carlo, Southworth, Jane and Neteler, Markus (2010) Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges. Ecological Informatics, 5 5: 318-329. doi:10.1016/j.ecoinf.2010.06.001


Author Rocchini, Duccio
Balkenhol, Niko
Carter, Gregory A.
Foody, Giles M.
Gillespie, Thomas W.
He, Kate S.
Kark, Salit
Levin, Noam
Lucas, Kelly
Luoto, Miska
Nagendra, Harini
Oldeland, Jens
Ricotta, Carlo
Southworth, Jane
Neteler, Markus
Title Remotely sensed spectral heterogeneity as a proxy of species diversity: Recent advances and open challenges
Journal name Ecological Informatics   Check publisher's open access policy
ISSN 1574-9541
Publication date 2010-09-01
Year available 2010
Sub-type Article (original research)
DOI 10.1016/j.ecoinf.2010.06.001
Open Access Status Not yet assessed
Volume 5
Issue 5
Start page 318
End page 329
Total pages 12
Place of publication Amsterdam, The Netherlands
Publisher Elsevier BV
Language eng
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.
Formatted 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
Keyword Airborne sensors
Alpha diversity
Beta diversity
Biodiversity
Distance decay
Environmental heterogeneity
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
 
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