Assessment of vegetation aptitude to accomodate organic beekeeping
DOI:
https://doi.org/10.23854/07199562.2020561.Pena129Keywords:
beekeeping, land aptitude, NDVI, Landsat images., beekeeping, land aptitude, NDVI, Landsat imagesAbstract
The aptitude offered by land vegetation to accommodate organic beekeeping was assessed in the Santuario Apícola Paz de Aculeo, located in the Metropolitan Region of Chile. A multicriteria analysis methodology combining geomatics and remote sensing was designed. For this purpose, critical vegetation variables for forage selection by the bee populations were valued on the main vegetation units cadastrated for the study area. Thereafter, they were subject to a lineal combination that hypothesized several weighting scenarios. The afore-mentioned enabled to classify the units according to their aptitude to accommodate the beekeeping, which were further characterized according to their vegetation vigor throughout the phenological cycle; derived from NDVI (normalized difference vegetation index) composites, as well as to their topographic variability; derived from a DEM (digital elevation model). The results show that no matter the scenario supposed, the vegetation units of the study area can be divided into five aptitude classes, with those embracing the highest aptitude (1 and 2) as the most prevailing; being distributed at variable altitudes of generally southwest aspect. Although the NVDI composites yielded differences between classes, those were small and non-significant, as a variance analysis pointed out. This study seeks to approximate the management and planning of the beekeeping productive system of local scale to the geotechnologies usage. Further efforts could apply a similar methodology on more complex and heterogeneous vegetation areas with the aim of proving its versatility.
Downloads
References
Adgaba, N., Alghamdi, A., Sammoud, R., Shenkute, A., Tadesse, Y., Ansari, M. J., Sharma, D., Hepburn, C. (2017). Determining spatio-temporal distribution of bee forage species of Al-Baha region based on ground inventorying supported with GIS applications and Remote Sensed Satellite Image analysis. Saudi Journal of Biological Sciences, 24(5), 1038-1044.
Amiri, F., Shariff, A. (2012). Application of geographic information systems in land-use suitability evaluation for beekeeping: A case study of Vahregan watershed (Iran). African Journal of Agricultural Research, 7(1), 88-97.
Amaya, M. (2009). Memoria y aprendizaje en la escogencia floral de las abejas. Acta Biológica Colombiana, 14(2), 125-136.
Andrada, A. (2003). Flora utilizada por Apis mellifera en el sur del Caldenal. Revista Museo Argentino de Ciencias Naturales, 5(2), 329-336.
Andrada, A., Valle, A., Paoloni, P., Gallez, L. (2004). Pollen and nectar sources used by Honeybee pollinating sunflower (Helianthus annuus) in the Colorado River Valley, Argentina. Boletín Sociedad Argentina de Botánica., 39(1-2), 75-82.
CONAF (Corporación Nacional Forestal). (2013). Catastro de uso de suelo y vegetación [Metadato, base de datos vectoriales]. Ministerio de Agricultura. Disponible en: https://ide.minagri.gob.cl/geonetwork/srv/api/records/%7BFAE2DCFC-FB88-4760-82B7-B0F8D221EB4F%7D_100121_es/formatters/xsl-view?root=div&output=pdf
Estoque, R. C., Murayama, Y. (2010). Suitability Analysis for Beekeeping Sites in La Union, Philippines, Using GIS and Multi-Criteria Evaluation Techniques. Research Journal of Applied Sciences, 5(3), 242-253.
Eastman, J. (2012, junio). IDRISI Selva Guía para SIG y Procesamiento de Imágenes (No 17). Clark University.
Fagúndez, G. (2011). Estudio de los recursos nectaríferos y poliníferos utilizados por Apis mellifera L. en diferentes ecosistemas del departamento Diamante (Entre Ríos, Argentina). (Tesis doctoral) Universidad Nacional del Sur.
Fuentes, F. (2016). Manual de Apicultura Orgánica CET Biobío (1.a ed.). Centro de Educación y Tecnología Biobío.
Fundación para la Innovación Agraria (FIA). (2009, abril). Resultados y Lecciones en Sistema de Información Geográfico para Mejoramiento de la Gestión Apícola (N° 1). Ministerio de Agricultura.
IDE (Infraestructura de Datos Geoespaciales). (2018). Buenas prácticas y casos de éxito en gestión geoespacial (1.a ed.) [Libro electrónico]. Ministerio de Bienes Nacionales. Disponible en: http://www.ide.cl/images/Publicaciones/Documentos/LIBRO_BUENAS_PRACTICAS_2018.pdf
Insuasty, E., Martínez, J., Jurado, H. (2015). Evaluación del proceso productivo apícola, basado en la caracterización etológica de Apis mellifera. Veterinaria y Zootecnia, 9(1), 1-15.
Jones, G. Vaughan, R. (2010) Remote sensing of vegetation: principles, techniques, and applications (1.a ed). Oxford University Press.
Lagos, F. (2017). Tipologías y categorización de apicultores orgánicos chilenos en función de factores protectores de su condición orgánica (Tesis magistral). Universidad de Chile, Santiago.
Luebert, F., Pliscoff, P. (2019). Sinopsis bioclimática y vegetacional de Chile (3.a ed.). Editorial Universitaria.
Maris, N., Mansor, S., Shafri, H.Z. (2008). Apicultural Site Zonation Using GIS and Multi-Criteria Decision Analysis. Pertanika Journal of Tropical Agricultural Science, 31, 147-162.
Mariani, V. (2020, enero). Manual de buenas prácticas apícolas con manejo orgánico (N° 1). Ministerio de Agroindustria.
May, T., Rodríguez, S. (2012). Plantas de interés apícola en el paisaje: observaciones de campo y la percepción de apicultores en Rep. Dominicana. Revista Geográfica de América Central, 1(48), 133-162.
Montenegro, G., Schuck, M., Mujica, A. M., Tellier, S. (1989). Flora utilizada por Apis mellifera como fuente de polen en Paine, Región Metropolitana. Ciencia e Innovación Agraria, 16(12), 4753.
Montenegro, G. (2004, octubre). Gestión asociativa para mejorar la calidad y diferenciación de los productos apícolas. (N° 1). Fundación para la Innovación Agraria.
Nightingale, J. M., Esaias, W. E., Wolfe, R. E., Nickeson, J. E., Ma, P. L. A. (2008). Assessing Honeybee Equilibrium Range and Forage Supply using Satellite-Derived Phenology. IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 1-4.
Rallo, J. (1987, noviembre). La apicultura orientada a la polinización frutal (No 11). Ministerio de Agricultura, Pesca y Alimentación.
Rodríguez, S., Velásquez, M. (2011). Lugares de actividad de las abejas (Hymenoptera: Apoidea presentes en bosque seco tropical del estado Guárico, Venezuela. Zootecnia Tropical, 29(4), 421-433.
SAG (Servicio Agrícola Ganadero). (2020, mayo). Boletín apícola (N°5). Ministerio de Agricultura.
Sari, F., Kandemir, ?., Ceylan, D. (2020). Integration of NDVI Imagery and Crop Coverage Registration System for Apiary Schedule. Journal of Apicultural Science, 64(1), 105-121.
Solorzáno, N., Licata, A. (2012). Flora apícola de los sectores Monte Carlo y Palo Alzado, Municipio Sucre, estado Portuguesa. Revista UNELLEZ de Ciencia y Tecnología, 30, 81-90.
Severson, D., Parry, J. (1981) A Chronology of Pollen Collection by Honeybees, Journal of Apicultural Research, 20(2), 97-103,
Serrano, S., Jiménez-Hornero, F. J., Gutiérrez de Ravé, E., Jodral, M. L. (2008). GIS design application for “Sierra Morena Honey” designation of origin. Computers and Electronics in Agriculture, 64(2), 307-317.
Valdés, P. (2014, junio). Apicultura de precisión (N° 2). Ministerio de Agricultura; ODEPA; FIA.
Vandame, R., Gänz, P., Garibay, S., Reyes, T. (2012, marzo). Manual de apicultura orgánica (N° 1). The Research Institute of Organic Agriculture (FiBL).
Zoccali, P., Malacrinò, A., Campolo, O., Laudani, F., Algeri, G. M., Giunti, G., Strano, C. P., Benelli, G., Palmeri, V. (2017). A novel GIS-based approach to assess beekeeping suitability of Mediterranean lands. Saudi Journal of Biological Sciences, 24(5), 1045-1050.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Revista Geográfica de Chile Terra Australis
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright notice:
Revista Geográfica de Chile Terra Australis retains the economic rights (copyright) of the works published in the Revista Geográfica de Chile Terra Australis. The reuse of the content is allowed under a license:
CC BY
Recognition
This license allows others to distribute, remix, tweak and build upon your work, even for commercial purposes, as long as you are acknowledged as the author of the original creation. This is the most helpful license offered. It is recommended for maximum dissemination and use of the materials subject to the license.