bioclim: An R package for bioclimatic classifications via adaptive water balance
Entidad
UAM. Departamento de GeografíaEditor
ElsevierFecha de edición
2022-09-12Cita
10.1016/j.ecoinf.2022.101810
Ecological Informatics 71 (2022): 101810
ISSN
1574-9541 (print); 1878-0512 (online)DOI
10.1016/j.ecoinf.2022.101810Financiado por
The present research was conducted within the framework of project SI3-PJI-2021-00398 funded by the Universidad Autonoma de Madrid and the Comunidad de MadridVersión del editor
https://doi.org/10.1016/j.ecoinf.2022.101810Materias
Bioclimatology; Water balance; Geographic information systems; R package; Climate; Soil; GeografíaDerechos
© 2022 The AuthorsEsta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Resumen
bioclim is a software package in R language for bioclimatic classification based on the Type of Bioclimatic Regime
approach, which combines climatic and soil properties to classify a region according to its suitability for plant
vegetative activity. We present the software’s operating modes, capabilities and limitations, including real-world
usage examples. Using monthly temperature, precipitation, and field capacity as inputs, bioclim follows a
straightforward workflow using three functions to compute: i) a comprehensive water balance describing water
resource dynamics throughout the year; ii) a bioclimatic balance to estimate plant vegetative activity; and iii) a
collection of bioclimatic intensities quantifying vegetative activity changes. The program uses the results of these
functions to classify bioclimatic type at zonal, regional and local scales. The three functions’ outputs can be
calculated independently, strengthening the software’s cross-disciplinary application potential, such as climatology and hydrology. bioclim uses numeric and raster formats as input data and contains highly flexible options
for a wide range of purposes, from scientific research to end users’ representations. The water and bioclimatic
balance results can be presented in numerical, graphical, or cartographic forms
Lista de ficheros
Google Scholar:Serrano Notivoli, Roberto
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Longares, Luís Alberto
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Cámara, Rafael
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