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rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back
1. 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. 2. In this paper, we present a new R package—rasterdiv—to calculate heterogeneity indices...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252722/ https://www.ncbi.nlm.nih.gov/pubmed/34262682 http://dx.doi.org/10.1111/2041-210X.13583 |
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author | 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 E. Schneider, Fabian D. Schuh, Leila Silvestri, Sonia Ŝímová, Petra Skidmore, Andrew K. Tattoni, Clara Tordoni, Enrico Vicario, Saverio Zannini, Piero Wegmann, Martin |
author_facet | 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 E. Schneider, Fabian D. Schuh, Leila Silvestri, Sonia Ŝímová, Petra Skidmore, Andrew K. Tattoni, Clara Tordoni, Enrico Vicario, Saverio Zannini, Piero Wegmann, Martin |
author_sort | Rocchini, Duccio |
collection | PubMed |
description | 1. 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. 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. |
format | Online Article Text |
id | pubmed-8252722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82527222021-07-12 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 E. Schneider, Fabian D. Schuh, Leila Silvestri, Sonia Ŝímová, Petra Skidmore, Andrew K. Tattoni, Clara Tordoni, Enrico Vicario, Saverio Zannini, Piero Wegmann, Martin Methods Ecol Evol Spatial Heterogeneity 1. 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. 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. John Wiley and Sons Inc. 2021-05-03 2021-06 /pmc/articles/PMC8252722/ /pubmed/34262682 http://dx.doi.org/10.1111/2041-210X.13583 Text en © 2021 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Spatial Heterogeneity 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 E. Schneider, Fabian D. Schuh, Leila Silvestri, Sonia Ŝímová, Petra Skidmore, Andrew K. Tattoni, Clara Tordoni, Enrico Vicario, Saverio Zannini, Piero Wegmann, Martin rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title |
rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title_full |
rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title_fullStr |
rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title_full_unstemmed |
rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title_short |
rasterdiv—An Information Theory tailored R package for measuring ecosystem heterogeneity from space: To the origin and back |
title_sort | rasterdiv—an information theory tailored r package for measuring ecosystem heterogeneity from space: to the origin and back |
topic | Spatial Heterogeneity |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252722/ https://www.ncbi.nlm.nih.gov/pubmed/34262682 http://dx.doi.org/10.1111/2041-210X.13583 |
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