Cultivos Tropicales - Vol. 44 - No. 1 - January-March 2023 - Climate zoning of Mayarí municipality based on Lang index

Aug 24, 2026

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The research focused on climatic zoning of the Mayarí municipality using Lang Index estimated from meteorological-station data and WorldClim 2. Monthly precipitation and average temperature images (30-second spatial resolution, WGS 1984 EPSG:4326) were processed in ArcGIS 3.10, and Lang Index was computed via Raster Calculator. Forty random points spaced 10 km apart supported value extraction. Linear regression in STATGRAPHICS Plus 5.0 assessed the relationship between WorldClim 2-derived and Guaro station-derived Lang Index, yielding three climatic zones (arid, semi-arid, semi-humid) and strong determination and correlation, supporting use where station data are scarce.

LanguageEnglish

CategoryResearch & Report

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Pages6

Reading Time15 min

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ABSTRACT

INTRODUCTION

Cultivos Tropicales, Vol. 44, No. 1, January-March 2023, e-ISSN: 1819-4087, p-ISSN: 0258-5936, [https://ediciones.inca.edu.cu](https://ediciones.inca.edu.cu) Cu-ID: [https://cu-id.com/2050/v44n1e03](https://cu-id.com/2050/v44n1e03) Climate zoning of Mayarí municipality based on Lang index Zonificación climática del municipio Mayarí a partir del índice de Lang iD Roberto Alejandro García-Reyes1*, iD María Elena Pérez-Ruíz2, iD Juan Alejandro Villazón-Gómez3, iD Mirna Cruz-Pérez4 1Ministerio de la Agricultura, Departamento Provincial de Suelos en Holguín. Código Postal: 80100, Holguín, Cuba. 2Universidad Agraria de la Habana, Facultad de Ciencias Técnicas. Código Postal: 327000. San José de Las Lajas, Mayabeque, Cuba. 3Universidad de Holguín, Centro de Estudios para Agro ecosistemas Áridos. Facultad de Ciencias Naturales y Agropecuarias. Código Postal: 80100. Holguín, Cuba. 4Universidad de Holguín, Departamento de Ciencias Agropecuarias. Facultad de Ciencias Naturales y Agropecuarias. Código Postal: 80100. Holguín, Cuba. ABSTRACT: The objective of the research was the climatic zoning of the Mayarí municipality; Lang Index was the estimation by use of data from meteorological station and WorldClim 2. The monthly images of precipitation and average temperature provided by WorldClim 2 were used with a spatial resolution of 30 seconds in the system of WGS 1984 EPSG coordinates: 4326. The images were processed in ArcGIS 3.10 software; and in the Raster Calculator option, the Lang Index was obtained. For the extraction of the values, a representation of 40 random points was made that covered the entire region under study, separated at a distance of 10 km. It was determined by linear regression in the STATGRAPHICS Plus 5.0 software; the relationship between Lang Index estimated by WorldClim 2 and that calculated with data from the Guaro meteorological station located in Mayarí municipality. The use of WorldClim 2 showed the existence of three climatic zones (arid, semi-arid and semi-humid) . Its estimation had a high determination and correlation for the calculated values of said index, which allows it to be used in territories where there is a low number of meteorological stations for taking climatic data. Key word: climate zoning, soil. RESUMEN: La investigación tuvo como objetivo la zonificación climática del municipio Mayarí, mediante el empleo del índice de Lang estimado a partir de datos de una estación meteorológica y del WorldClim 2. Se utilizaron las imágenes mensuales de precipitación y temperatura promedio que proporciona el WorldClim 2, con una resolución espacial de 30 segundos en el sistema de coordenadas WGS 1984 EPSG: 4326. Las imágenes se procesaron en el software ArcGIS 3.10 y en la opción Raster Calculator se obtuvo el Índice de Lang. Para la extracción de los valores se realizó una representación de 40 puntos aleatorios que abarcaron toda la región en estudio, separados a una distancia de 10 km. Se determinó mediante regresión lineal en el software STATGRAPHICS Plus 5.0; la relación entre Índice de Lang estimado por WorldClim 2 y el calculado con datos de la estación meteorológica de Guaro, ubicada en el municipio Mayarí . El uso del WorldClim 2 mostró la existencia de tres zonas climáticas (áridas, semiáridas y semi húmeda) . Su estimación tuvo una alta determinación y correlación para los valores calculados de dicho índice, lo cual le permite ser utilizada en territorios donde existe un bajo número de estaciones meteorológicas para la toma de datos climáticos. Palabras clave: zonificación, clima, suelo. _______________________________ *Author for correspondence: [ralejandro9409@gmail.com](ralejandro9409@gmail.com) [Received: 10/05/2021](Received: 10/05/2021) [Accepted: 08/01/2022](Accepted: 08/01/2022) This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial (BY-NC 4 .0) . [https://creativecommons.org/l](https://creativecommons.

FAQs

What method was used to estimate the Lang Index for zoning Mayarí?

Lang Index was estimated using meteorological station data and WorldClim 2 monthly precipitation and average temperature images processed in ArcGIS 3.10, then computed in Raster Calculator.

How were Lang Index values extracted across the study area?

The study used 40 random points covering the entire region, separated by a 10 km distance, to extract the Lang Index values.

How did the results classify the climate in Mayarí?

WorldClim 2 indicated three climatic zones: arid, semi-arid, and semi-humid, with high determination and correlation versus the Guaro meteorological station calculations.

Aug 24, 2026

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