climenv: Download, extract and visualise climatic and elevation data

James Lee Tsakalos; Martin Ross Smith; Federico Luebert; Ladislav Mucina

doi:10.1111/jvs.13215

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climenv: Download, extract and visualise climatic and elevation data

Journal article

Open access

Peer reviewed

climenv: Download, extract and visualise climatic and elevation data

James Lee Tsakalos, Martin Ross Smith, Federico Luebert and Ladislav Mucina

Journal of vegetation science, Vol.34(6), e13215

2023

DOI: https://doi.org/10.1111/jvs.13215

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Published (Version of Record)CC BY-NC V4.0, Open Access

Abstract

Ecology

Environmental Sciences & Ecology

Forestry

Life Sciences & Biomedicine

Plant Sciences

Science & Technology

Understanding the relationship between climate and vegetation requires climate data to be linked with ecological data, including habitat types and vegetation mapping. Our new R package climenv allows researchers to efficiently acquire, extract and visualise data sets that are commonly used by researchers to quantify the climatic envelope of vegetation. climenv offers integrated downloading and processing capabilities for three globally recognised data sets: WorldClim 2, CHELSA and the National Aeronautics and Space Administration's (NASA) Shuttle Radar Topography Mission (SRTM) elevation data. The package allows users to easily download and extract these data sets for single and multi-geospatial polygon and point data sets, facilitating studies that explore the relationship between vegetation and climate. Furthermore, climenv allows users to plot traditional Holdridge life zone classification, Walter–Lieth climate diagrams and new customised plots, which combine aspects of both these systems with other biologically relevant climate variables. By enhancing the usability and flexibility of these data sets, climenv helps to explore the intricacies of the relationships between climate and vegetation. Our package is accessible from CRAN (https://CRAN.R-project.org/package=climenv) or GitHub (https://github.com/jamestsakalos/climenv).

Details

Title: climenv: Download, extract and visualise climatic and elevation data
Authors/Creators: James Lee Tsakalos - Università di Camerino
Martin Ross Smith - Durham University
Federico Luebert - University of Chile
Ladislav Mucina - Murdoch University
Publication Details: Journal of vegetation science, Vol.34(6), e13215
Publisher: John Wiley & Sons Ltd.
Number of pages: 7
Grant note: University of Camerino (Italy) LIFE MODERn(NEC) project (LIFE20 GIE/IT/000091) Iluka Chair in Vegetation Science and Biogeography at the Murdoch University, Perth, Australia
Identifiers: 991005621766207891
Murdoch Affiliation: Centre for Terrestrial Ecosystem Science and Sustainability
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 3 Agriculture, Environment & Ecology; 3.40 Forestry; 3.40.195 Biodiversity Conservation
Web Of Science research areas: Ecology; Forestry; Plant Sciences
ESI research areas: Plant & Animal Science