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Autor
Bacaro, Giovanni 1 Bazzichetto, Manuele 1 Bernardi, Alessandra 1 Da Re, Daniele 1 Foody, Giles M 1 Furrer, Reinhard 1 Iannacito, Martina 1 Kleijn, David 1 Larsen, Stefano 1 Lenoir, Jonathan 1 Malavasi, Marco 1 Marcantonio, Matteo 1 Marchetto, Elisa 1 Messori, Filippo 1 Montaghi, Alessandro 1 Moudrý, Vítězslav 1 Naimi, Babak 1 Ricotta, Carlo 1 Rocchini, Duccio 1 Rossini, Micol 1
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Pracoviště
BIOME Lab Department of Biological Geologica... 1 CNR IIA C O Physics Department M Merlin Univ... 1 DAGRI Department of Agriculture Food Environ... 1 Department of Agriculture Food Environment a... 1 Department of Civil Environmental and Mechan... 1 Department of Computational Science Universi... 1 Department of Environmental Biology Universi... 1 Department of Environmental Science Macquari... 1 Department of Geography Earth System Science... 1 Department of Geography Remote Sensing Labor... 1 Department of Geosciences and Geography Univ... 1 Department of Life Sciences University of Tr... 1 Department of Mathematics University of Tren... 1 Department of Mathematics University of Zuri... 1 Department of Pathology Microbiology and Imm... 1 Department of Remote Sensing University of W... 1 Department of Spatial Sciences Faculty of En... 1 EcoBio UMR 6553 Université de Rennes CNRS Re... 1 Faculty of Geo Information Science and Earth... 1 Faculty of Science and Technology Free Unive... 1
- Publikační typ
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- Jazyk
- Země
- Časopis/zdroj
- Nejvíce citované
PubMed
34262682
PubMed Central
PMC8252722
DOI
10.1111/2041-210x.13583
PII: MEE313583
Knihovny.cz E-zdroje
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.
- Klíčová slova
- biodiversity, ecological informatics, modelling, remote sensing, satellite imagery,
- Publikační typ
- časopisecké články MeSH
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Název dokumentu
Po ukončení testovacího provozu bude odkaz přesměrován adresu produkční verze portálu Medvik.