rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

Duccio Rocchini; Elisa Thouverai; Matteo Marcantonio; Martina Iannacito; Daniele Da Re; Michele Torresani; Giovanni Bacaro; Manuele Bazzichetto; Alessandra Bernardi; Giles M. Foody; Reinhard Furrer; David Kleijn; Stefano Larsen; Jonathan Lenoir; Marco Malavasi; Elisa Marchetto; Filippo Messori; Alessandro Montaghi; Vítězslav Moudrý; Babak Naimi; Carlo Ricotta; Micol Rossini; Francesco Santi; Maria J. Santos; Michael E. Schaepman; Fabian D. Schneider; Leila Schuh; Sonia Silvestri; Petra Ŝímová; Andrew K. Skidmore; Clara Tattoni; Enrico Tordoni; Saverio Vicario; Piero Zannini; Martin Wegmann

doi:10.1111/2041-210X.13583

rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

Duccio Rocchini^*, Elisa Thouverai, Matteo Marcantonio, Martina Iannacito, Daniele Da Re, Michele Torresani, Giovanni Bacaro, Manuele Bazzichetto, Alessandra Bernardi, Giles M. Foody, Reinhard Furrer, David Kleijn, Stefano Larsen, Jonathan Lenoir, Marco Malavasi, Elisa Marchetto, Filippo Messori, Alessandro Montaghi, Vítězslav Moudrý, Babak NaimiCarlo Ricotta, Micol Rossini, Francesco Santi, Maria J. Santos, Michael E. Schaepman, Fabian D. Schneider, Leila Schuh, Sonia Silvestri, Petra Ŝímová, Andrew K. Skidmore, Clara Tattoni, Enrico Tordoni, Saverio Vicario, Piero Zannini, Martin Wegmann

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

61 Citations (Scopus)

18 Downloads (Pure)

Abstract

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.

Original language	English
Pages (from-to)	1093-1102
Number of pages	10
Journal	Methods in Ecology and Evolution
Volume	12
Issue number	6
DOIs	https://doi.org/10.1111/2041-210X.13583
Publication status	Published - Jun 2021

Bibliographical note

Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

biodiversity
ecological informatics
modelling
remote sensing
satellite imagery

Access to Document

10.1111/2041-210X.13583Licence: CC BY

Publisher version (open access)Final published version, 2.22 MBLicence: CC BY

Cite this

Rocchini, D., Thouverai, E., Marcantonio, M., Iannacito, M., Da Re, D., Torresani, M., Bacaro, G., Bazzichetto, M., Bernardi, A., Foody, G. M., Furrer, R., Kleijn, D., Larsen, S., Lenoir, J., Malavasi, M., Marchetto, E., Messori, F., Montaghi, A., Moudrý, V., ... Wegmann, M. (2021). rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back. Methods in Ecology and Evolution, 12(6), 1093-1102. https://doi.org/10.1111/2041-210X.13583

@article{549a545dd781489b8b728bfa2ad9af68,

title = "rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back",

abstract = "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.",

keywords = "biodiversity, ecological informatics, modelling, remote sensing, satellite imagery",

author = "Duccio Rocchini and Elisa Thouverai and Matteo Marcantonio and Martina Iannacito and \{Da Re\}, Daniele and Michele Torresani and Giovanni Bacaro and Manuele Bazzichetto and Alessandra Bernardi and Foody, \{Giles M.\} and Reinhard Furrer and David Kleijn and Stefano Larsen and Jonathan Lenoir and Marco Malavasi and Elisa Marchetto and Filippo Messori and Alessandro Montaghi and V{\'i}t{\v e}zslav Moudr{\'y} and Babak Naimi and Carlo Ricotta and Micol Rossini and Francesco Santi and Santos, \{Maria J.\} and Schaepman, \{Michael E.\} and Schneider, \{Fabian D.\} and Leila Schuh and Sonia Silvestri and Petra Ŝ{\'i}mov{\'a} and Skidmore, \{Andrew K.\} and Clara Tattoni and Enrico Tordoni and Saverio Vicario and Piero Zannini and Martin Wegmann",

note = "Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2021",

month = jun,

doi = "10.1111/2041-210X.13583",

language = "English",

volume = "12",

pages = "1093--1102",

journal = "Methods in Ecology and Evolution",

issn = "2041-210X",

publisher = "John Wiley \& Sons",

number = "6",

}

Rocchini, D, Thouverai, E, Marcantonio, M, Iannacito, M, Da Re, D, Torresani, M, Bacaro, G, Bazzichetto, M, Bernardi, A, Foody, GM, Furrer, R, Kleijn, D, Larsen, S, Lenoir, J, Malavasi, M, Marchetto, E, Messori, F, Montaghi, A, Moudrý, V, Naimi, B, Ricotta, C, Rossini, M, Santi, F, Santos, MJ, Schaepman, ME, Schneider, FD, Schuh, L, Silvestri, S, Ŝímová, P, Skidmore, AK, Tattoni, C, Tordoni, E, Vicario, S, Zannini, P & Wegmann, M 2021, 'rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back', Methods in Ecology and Evolution, vol. 12, no. 6, pp. 1093-1102. https://doi.org/10.1111/2041-210X.13583

TY - JOUR

T1 - rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space

T2 - to the origin and back

AU - Rocchini, Duccio

AU - Thouverai, Elisa

AU - Marcantonio, Matteo

AU - Iannacito, Martina

AU - Da Re, Daniele

AU - Torresani, Michele

AU - Bacaro, Giovanni

AU - Bazzichetto, Manuele

AU - Bernardi, Alessandra

AU - Foody, Giles M.

AU - Furrer, Reinhard

AU - Kleijn, David

AU - Larsen, Stefano

AU - Lenoir, Jonathan

AU - Malavasi, Marco

AU - Marchetto, Elisa

AU - Messori, Filippo

AU - Montaghi, Alessandro

AU - Moudrý, Vítězslav

AU - Naimi, Babak

AU - Ricotta, Carlo

AU - Rossini, Micol

AU - Santi, Francesco

AU - Santos, Maria J.

AU - Schaepman, Michael E.

AU - Schneider, Fabian D.

AU - Schuh, Leila

AU - Silvestri, Sonia

AU - Ŝímová, Petra

AU - Skidmore, Andrew K.

AU - Tattoni, Clara

AU - Tordoni, Enrico

AU - Vicario, Saverio

AU - Zannini, Piero

AU - Wegmann, Martin

N1 - Copyright the Author(s) 2021. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2021/6

Y1 - 2021/6

N2 - 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.

AB - 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.

KW - biodiversity

KW - ecological informatics

KW - modelling

KW - remote sensing

KW - satellite imagery

UR - https://www.scopus.com/pages/publications/85105366743

U2 - 10.1111/2041-210X.13583

DO - 10.1111/2041-210X.13583

M3 - Article

C2 - 34262682

AN - SCOPUS:85105366743

SN - 2041-210X

VL - 12

SP - 1093

EP - 1102

JO - Methods in Ecology and Evolution

JF - Methods in Ecology and Evolution

IS - 6

ER -

rasterdiv-an Information Theory tailored R package for measuring ecosystem heterogeneity from space: to the origin and back

Abstract

Bibliographical note

Keywords

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