121439 20240319081024.0 doi 10.1016/j.ecoinf.2022.101810 sideral 132035 ART-2022-132035 eng Serrano-Notivoli, Roberto (orcid)0000-0001-7663-1202 bioclim: An R package for bioclimatic classifications via adaptive water balance 2022 Access copy available to the general public Unrestricted 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. info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 5.1 2022 ECOLOGY 27 / 171 = 0.158 2022 Q1 T1 0.915 2022 Applied Mathematics 2022 Q1 Computational Theory and Mathematics 2022 Q1 Ecological Modeling 2022 Q1 Modeling and Simulation 2022 Q1 Ecology 2022 Q1 Ecology, Evolution, Behavior and Systematics 2022 Q1 Computer Science Applications 2022 Q2 6.1 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Longares, Luis Alberto Universidad de Zaragoza (orcid)0000-0002-9558-1308 Cámara, Rafael 3006 430 Universidad de Zaragoza Dpto. Geograf. Ordenac.Territ. Área Geografía Física 71 (2022), 101810 [10 pp.] Ecological Informatics Ecological Informatics 1574-9541 3404529 http://zaguan.unizar.es/record/121439/files/texto_completo.pdf Versión publicada 2625069 http://zaguan.unizar.es/record/121439/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:121439 articulos driver 2024-03-18-16:29:06 ARTICLE