Abstract 1. Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, since it is strictly related to 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

Daniele Da Re;Giovanni Bacaro;Enrico Tordoni;
2021-01-01

Abstract

Abstract 1. Ecosystem heterogeneity has been widely recognized as a key ecological feature, influencing several ecological functions, since it is strictly related to 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
Pubblicato
https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13583
File in questo prodotto:
File Dimensione Formato  
mee313583.pdf

Accesso chiuso

Descrizione: free al link: :https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13583
Tipologia: Documento in Versione Editoriale
Licenza: Copyright Editore
Dimensione 2.12 MB
Formato Adobe PDF
2.12 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2980231
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 32
  • ???jsp.display-item.citation.isi??? 27
social impact