Mapping frost risk in fruit trees using GIS-based analysis: a case study in the province of Alicante (Spain)

Authors

  • Alfredo Ramón-Morte Geomatic Lab. Interuniversity Institute of Geography of the University of Alicante, 03690, Alicante, Spain http://orcid.org/0000-0003-0343-2266
  • David Pérez Moreno Agricultural engineer and master’s degree in planning and management of Natural Risks. University of Alicante. Ctra. de San Vicente, s/n, San Vicente del Raspeig, 03690, Alicante, Spain
  • Enrique Moltó-Mantero Department of Regional Geographical Analysis and Physical Geography, Interuniversity Institute of Geography of the University of Alicante. Ctra. de San Vicente, s/n, San Vicente del Raspeig, 03690, Alicante, Spain https://orcid.org/0000-0002-8521-060X

DOI:

https://doi.org/10.21138/GF.821

Abstract

Agricultural activity is exposed to the effects of global warming, which implies socioeconomic and environmental impacts. This research presents a methodology to facilitate the management of daily temperature time series for climate risk analysis. GIS-based analysis has allowed us to generate climate and relief models, along with other land-use suitability data, integrating information to map frost risk in fruit trees. The calculation was made using open official repositories of massive meteorological and geographic data. Finally, the proposed methodology has been verified by applying it to the risk map of the almond growing areas of the province of Alicante, due to its socio-economic importance and being the first fruit tree to flower with high exposure to the risk of frost. Docker technology has played a fundamental role in automating the process of daily minimum temperature data, which will facilitate the requirements for the reproducibility and application of the research to other areas of study and fruit species.

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Published

2024-07-29

How to Cite

Ramón-Morte, A., Pérez Moreno, D., & Moltó-Mantero, E. (2024). Mapping frost risk in fruit trees using GIS-based analysis: a case study in the province of Alicante (Spain). GeoFocus. International Review of Geographical Information Science and Technology, (33), 129–155. https://doi.org/10.21138/GF.821

Issue

No. 33 (2024)

Section

Artículos

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