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

Authors :
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
Naimi, Babak
Ricotta, Carlo
Rossini, Micol
Santi, Francesco
Santos, Maria J.
Schaepman, Michael E.
Schneider, Fabian D.
Schuh, Leila
Silvestri, Sonia
Skidmore, Andrew K.
Tattoni, Clara
Tordoni, Enrico
Vicario, Saverio
Zannini, Piero
Wegmann, Martin
Goslee, Sarah
Publication Year :
2021
Publisher :
Wiley, 2021.

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.

Details

Language :
English
ISSN :
2041210X
Database :
OpenAIRE
Accession number :
edsair.core.ac.uk....7bf72edc11322da21f072cb939b456a5