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rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back

Rocchini, Duccio; Thouverai, Elisa; Marcantonio, Matteo; Iannacito, Martina; Da Re, Daniele; Torresani, Michele; Bacaro, Giovanni; Bazzichetto, Manuele; Bernardi, Alessandra; Foody, Giles M.; Furrer, Reinhard; Kleijn, David; Larsen, Stefano; Lenoir, Jonathan; Malavasi, Marco; Marchetto, Elisa; Messori, Filippo; Montaghi, Alessandro; Moudr�, V�t?zslav; Naimi, Babak; Ricotta, Carlo; Rossini, Micol; Santi, Francesco; Santos, Maria J.; Schaepman, Michael E.; Schneider, Fabian D.; Schuh, Leila; Silvestri, Sonia; ?�mov�, Petra; Skidmore, Andrew K.; Tattoni, Clara; Tordoni, Enrico; Vicario, Saverio; Zannini, Piero; Wegmann, Martin

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Authors

Duccio Rocchini

Elisa Thouverai

Matteo Marcantonio

Martina Iannacito

Daniele Da Re

Michele Torresani

Giovanni Bacaro

Manuele Bazzichetto

Alessandra Bernardi

Reinhard Furrer

David Kleijn

Stefano Larsen

Jonathan Lenoir

Marco Malavasi

Elisa Marchetto

Filippo Messori

Alessandro Montaghi

V�t?zslav Moudr�

Babak Naimi

Carlo Ricotta

Micol Rossini

Francesco Santi

Maria J. Santos

Michael E. Schaepman

Fabian D. Schneider

Leila Schuh

Sonia Silvestri

Petra ?�mov�

Andrew K. Skidmore

Clara Tattoni

Enrico Tordoni

Saverio Vicario

Piero Zannini

Martin Wegmann



Contributors

Sarah Goslee
Editor

Abstract

Ecosystem heterogeneity has been widely recognized as a key ecological indicator of several ecological functions, diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. In this paper, we present a new R package—rasterdiv—to calculate heterogeneity indices based on remotely sensed data. We also provide an ecological application at the landscape scale and demonstrate its power in revealing potentially hidden heterogeneity patterns. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.

Citation

Rocchini, D., Thouverai, E., Marcantonio, M., Iannacito, M., Da Re, D., Torresani, M., Bacaro, G., Bazzichetto, M., Bernardi, A., Foody, G. M., Furrer, R., Kleijn, D., Larsen, S., Lenoir, J., Malavasi, M., Marchetto, E., Messori, F., Montaghi, A., Moudrý, V., Naimi, B., …Wegmann, M. (2021). rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back. Methods in Ecology and Evolution, 12(6), 1093-1102. https://doi.org/10.1111/2041-210X.13583

Journal Article Type Article
Acceptance Date Feb 8, 2021
Online Publication Date May 3, 2021
Publication Date 2021-06
Deposit Date May 9, 2021
Publicly Available Date May 24, 2021
Journal Methods in Ecology and Evolution
Electronic ISSN 2041-210X
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 12
Issue 6
Pages 1093-1102
DOI https://doi.org/10.1111/2041-210X.13583
Keywords Ecological Modelling; Ecology, Evolution, Behavior and Systematics
Public URL https://nottingham-repository.worktribe.com/output/5521610
Publisher URL https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13583

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