Keywords
climatic indexes
evapotranspiration
temperature
How to Cite
##article.highlights##
- Moclic is a Data analysis system for monitoring regional and local climate change
- Moclic is a processing tool of agroclimatic data
- Moclic is a tool for identifying local climate change trends
- Moclic can calculate derived variables related to potential evapotranspiration
Abstract
The present work shows the architecture and capabilities of the software titled “Data Analysis System for monitoring regional and local climate change with agroclimatic indexes” (Moclic). The software works as: a) a database; b) a processing tool of agroclimatic data; and c) a tool for identifying local climate change trends. The advantages of using Moclic include its capacity for evaluating climate change within a graphical user interface. The software requires input data from weather stations containing the following information: station name, key number, locality and state, monthly average, minimum and maximum temperatures, monthly precipitation and the geographic coordinates of the station. Moclic can process the input data and calculate derived variables related to potential evapotranspiration and monthly and annual indexes for humidity, aridity, the growing season, precipitation concentration, erodibility, and soil leaching. Moclic software works in both English and Spanish. Finally, a case study of the Abalá station in the state of Yucatán, México is presented in order to show the applicability of Moclic at the local level. The results from the case study show the high accuracy of the Moclic for the prediction of climate change trends throughout the last 40 years, and suggest its high potential to be used in new climate scenarios.
References
Arnoldus, H. M. J. (1980). An approximation of the rainfall factor in the universal soil loss equation. In M. de Boodt & D. Grabriels (Eds.), Assessment of erosion (pp. 127–132). Chichester, England: John Wiley & Sons, Inc.
Arkley, R. (1963). Relationships between plant growth and transpiration. Hilgardia, 34, 559–584. http://www.jstor.org/stable/2473993
Bautista, F., Bautista-Hernández, D., & Delgado-Carranza, C. (2009). Calibration of the equations of Hargreaves and Tornthwaite to estimate the potential evapotranspiration in semi-arid and subhumid tropical climates for regional applications. Atmósfera, 22, 331–348. http://www.revistas.unam.mx/index.php/atm/article/view/8635
Carlón, T., & Mendoza, M. (2007). Análisis hidrometeorológico de las estaciones de la cuenca del Lago de Cuitzeo. Investigaciones Geográficas, 63, 56–76. http://www.revistas.unam.mx/index.php/rig/article/view/29910
Carter, T. R. (2007). General guidelines on the use of scenario data for climate impact and adaptation assessment. Helsinki, Finland: Intergovernmental Panel on Climate Change, Task Group on Data and Scenario Support for Impact and Climate Assessment (IPCC-TGICA). http://www.ipccdata. org/guidelines/TGICA_guidance_sdciaa_v2_final.pdf
Commission of the European Communities (CEC). (1992). CORINE soil erosion risks and important land resources-in the southern regions of the European Community. http://www.eea.europa.eu/publications/COR0-soil
Conde, C., Estrada, F., Martínez, B., Sánchez O., & Gay, C. (2011). Regional climate change scenarios for México. Atmósfera, 24, 125–140. http://www.revistas.unam.mx/index.php/atm/article/view/23806
De la Rosa, D., Barros, J., Mayol, F., & Moreno, J. (1996). CDMm Base de datos climáticos mensuales. Sevilla, España: Consejo Superior de Investigaciones Científicas, Instituto de Recursos Naturales y Agrobiología. http://www.MicroLEIS.ExplorandolosLímitesAgroecológicosdelaSostenibilidad
García-Herrera, G., Esquivel, G., Zárate, J. L., Trejo, R., Sánchez, I., & Esquivel, O. (2009). Escenarios a futuro de temperatura y precipitación pluvial bajo el efecto de un cambio climático en la región agrícola de los llanos, Durango, México. Revista Chapingo Serie Zonas Áridas, 9, 107–120. http://www.chapingo.mx/revistas/zonas_aridas/contenido.php?anio=2010&v ol=IX&num=2&id_rev=8
Gay, C., & Estrada, F. (2010). Objective probabilities about future climate are a matter of opinion. Climate Change, 99, 27–46. doi: https://doi.org/10.1007/s10584-009-9681-4
Gómez, J. D., Monterroso, A., Tinoco, J. A., Toledo, M. L., Conde, C., & Gay, C. (2011). Assessing current and potential patterns of 16 forest species driven by climate change scenarios in México. Atmósfera, 24, 31–52. http://www.revistas.unam.mx/index.php/atm/article/view/23801
Hargreaves, G. H., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture, 1, 96–99. https://elibrary.asabe.org/abstract.asp?aid=26773&t=2&redir=&redirType=
Lobo, D., Gabriels, D., Ovalles, F., Santibañez, F., Moyano, M. C., Aguilera, R.,…Urra, N. (2004). Guía metodológica para la elaboración del mapa de zonas áridas, semiáridas y subhúmedas secas de América Latina y el Caribe. Caracas, Venezuela: CAZALAC- PHI/UNESCO.
Monterroso, A. I., Gómez, J. D., Toledo, M. L., Tinoco, J. A., Conde, C., & Gay, C. (2011). Simulated dynamics of net primary productivity (NPP) for outdoor livestock feeding coefficients driven by climate change scenarios in México. Atmósfera, 24, 69–88. http://www.revistas.unam.mx/index.php/atm/article/view/23803
Oliver, J. E. (1980). Monthly precipitation distribution: A comparative index. Professional Geographer, 32, 300–309. doi: https://doi.org/10.1111/j.0033-0124.1980.00300.x
Shahbazi, F., Jafarzadeh, A., Sarmadian, F., Neyshaboury, M., Oustan, S., Anaya-Romero, M., Lojo, M., & De la Rosa, D. (2009). Climate change impact on land capability using MicroLEIS DSS. International Agrophysics, 23(3), 277–286. http://www.old.international-agrophysics.org/artykuly/international_agrophysics/IntAgr_2009_23_3_277.pdf
Thornthwaite, C. W. (1948). An approach toward a rational classification of climate. Geographical Review, 38(1), 55–94. http://www.unc.edu/courses/2007fall/geog/801/001/www/ET/Thornthwaite48-GeogrRev.pdf
Villers, L., Arizpe, N., Orellana, R., Conde, C., & Hernández, J. (2009). Impactos del cambio climático en la floración y desarrollo del fruto del café en Veracruz, México. Interciencia, 34, 322– 329. http://www.scielo.org.ve/scielo.php?script=sci_arttext&pid=S0378-18442009000500006
Walker, N. J., & Schulze, R. E. (2008). Climate change impacts on agro-ecosystem sustainability across three climate regions in the maize belt of South Africa. Agriculture, Ecosystems & Environment, 124, 114–124. doi: https://doi.org/10.1016/j.agee.2007.09.001
Wigley, T. M. L. (2008). MAGICC/SCENGEN 5.3: User manual (version 2). http://www.cgd.ucar.edu/cas/wigley/magicc/UserMan5.3.v2.pdf
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2013 Revista Chapingo Serie Ciencias Forestales y del Ambiente