Journal
METHODS IN ECOLOGY AND EVOLUTION
Volume 12, Issue 6, Pages 1093-1102Publisher
WILEY
DOI: 10.1111/2041-210X.13583
Keywords
biodiversity; ecological informatics; modelling; remote sensing; satellite imagery
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Funding
- H2020 Project SHOWCASE [862480]
- H2020 COST Action [CA17134]
- Jet Propulsion Laboratory
- California Institute of Technology
- National Aeronautics and Space Administration [80NM0018D0004]
- University of Zurich Research Priority Program on Global Change and Biodiversity (URPP GCB)
- Friuli Venezia Giulia Region, Swiss National Science Foundation [SNSF-175529]
- Czech University of Life Sciences Prague
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The paper introduces a new R package called rasterdiv to calculate heterogeneity indices based on remotely sensed data, which can be used to study ecological functions, diversity patterns, population dynamics, and other ecological issues. This package is rooted in Information Theory, providing reliable calculation methods to reveal hidden heterogeneity patterns.
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.
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