1. Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, like diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. 2. 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. 3. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.

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; Moudrý, Vítězslav; Naimi, Babak; Ricotta, Carlo; Rossini, Micol; Santi, Francesco; Santos, Maria J.; Schaepman, Michael; Schneider, Fabian D.; Schuh, Leila; Silvestri, Sonia; Šímová, Petra; Skidmore, Andrew K.; Tattoni, Clara; Tordoni, Enrico; Vicario, Saverio; Zannini, Piero; Wegmann, Martin. - In: METHODS IN ECOLOGY AND EVOLUTION. - ISSN 2041-210X. - 10:(2021). [10.1111/2041-210X.13583]

Rasterdiv ‐ an information theory tailored R package for measuring ecosystem heterogeneity from space. To the origin and back

Ricotta, Carlo;
2021

Abstract

1. Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, like diversity patterns and change, metapopulation dynamics, population connectivity or gene flow. 2. 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. 3. The rasterdiv package allows calculating multiple indices, robustly rooted in Information Theory, and based on reproducible open-source algorithms.
2021
biodiversity; ecological informatics; modelling; remote sensing; satellite imagery
01 Pubblicazione su rivista::01a Articolo in rivista
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; Moudrý, Vítězslav; Naimi, Babak; Ricotta, Carlo; Rossini, Micol; Santi, Francesco; Santos, Maria J.; Schaepman, Michael; Schneider, Fabian D.; Schuh, Leila; Silvestri, Sonia; Šímová, Petra; Skidmore, Andrew K.; Tattoni, Clara; Tordoni, Enrico; Vicario, Saverio; Zannini, Piero; Wegmann, Martin. - In: METHODS IN ECOLOGY AND EVOLUTION. - ISSN 2041-210X. - 10:(2021). [10.1111/2041-210X.13583]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1540858
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