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Díaz, N., Guerrero, A. A., & Fajardo, E. J. (2023). A GIS-AHP approach to determine productive sustainability for the Santurbán Páramo, Colombia. Luna Azul, (57). https://doi.org/10.17151/luaz.2023.57.8
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Authors
Norberto Díaz
Universidad de Investigación y Desarrollo
Amado A. Guerrero
Universidad Industrial de SantanderEddy Johanna Fajardo
Universidad Autónoma de BucaramangaAbstract
This research develops a productive sustainability evaluation framework for the High Mountain Complex of the Páramo de Santurbán, providing a decision support system based on Geographic Information Systems (GIS) in view of the absence of tools to estimate sustainability. This research sought to validate a tool to estimate the two main agricultural and livestock productive activities developed in this conservation area. Sustainability was evaluated through a tool (GIS) which incorporates the Analytical Hierarchical Process (AHP) to include the concept of experts. In addition, the decomposition into multiple criteria based on four economic, social, environmental and institutional indicators is used. For the Páramo de Santurbán, 52% of the territory shows strong sustainability, while 48% of the remaining territory shows medium sustainability. For this reason, agricultural activities represent an advantage in terms of sustainability for their territories as a result of the geographic space where they are developed. It is necessary to establish limits for the development of these activities. With this work, for the first time, an estimation of the sustainability of agricultural activities for the Páramo de Santurbán is made.
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References
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Gamboa, G. y Munda, G. (2007). The problem of windfarm location: A social multi-criteria evaluation framework. Energy Policy, 35(3), 1564-1583. https://doi.org/10.1016/j.enpol.2006.04.021
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Hagagg, K., Hussien, R., Rayan, R. y Ewes, R. (2023). Development of Sustainable Agriculture Land-Use Index in Arid Regions Using Analytical Hierarchy Process (AHP) and Remote Sensing. En A. A. Gad, D. Elfiky, A. Negm y S. Elbeih (Eds.), Applications of Remote Sensing and GIS Based on an Innovative Vision (pp. 317-324). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40447-4_36
Kamali, F. P., Borges, J. A., Meuwissen, M. P., De Boer, I. J. y Lansink, A. G. O. (2017). Sustainability assessment of agricultural systems: The validity of expert opinion and robustness of a multi-criteria analysis. Agricultural Systems, 157, 118-128. https://doi.org/10.1016/j.agsy.2017.07.013
Mesa, P., Ortega, J. M. y Berbel, J. (2008). Análisis multicriterio de preferencias sociales en gestión hídrica bajo la Directiva Marco del Agua. Economía Agraria y Recursos Naturales, 8(2), 105-126. https://doi.org/10.7201/earn.2008.02.06
Muhsin, N., Ahamed, T. y Noguchi, R. (2018). GIS-based multi-criteria analysis modelling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands. Asia-Pacific Journal of Regional Science, 2(1), 35-64. https://doi.org/10.1007/s41685-017-0046-0
Munda, G. (1995). Multicriteria Evaluation in a Fuzzy Environment: The Naiade Method. En Multicriteria Evaluation in a Fuzzy Environment (pp. 131-148). Springer. https://doi.org/10.1007/978-3-642-49997-5_7.
Nijkamp, P., Rietveld, P. y Voogd, H. (2013). Multicriteria evaluation in physical planning. Elsevier.
Omarzadeh, D., Pourmoradian, S., Feizizadeh, B., Khallaghi, H., Sharifi, A. y Kamran, K. V. (2022). A GIS-based multiple ecotourism sustainability assessment of West Azerbaijan province, Iran. Journal of Environmental Planning and Management, 65(3), 490-513. https://doi.org/10.1080/09640568.2021.1887827
Raihan, A. (2024). A systematic review of Geographic Information Systems (GIS) in agriculture for evidence-based decision making and sustainability. Global Sustainability Research, 3(1), 1-24.
Reimov, M., Mamatkulov, Z., Shermanov, U., Oymatov, R., Khamraliev, A. y Abdurashitov, B. (2023). Spatial analysis in decision-making on agriculture activities. E3S Web of Conferences, 386, 01002. https://n9.cl/69rsj
Riascos, E. M. (2010). El análisis multicriterio en la gestión de la biodiversidad (tesis de maestría). Universidad Nacional de Colombia, Medellín, Colombia.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
Talukder, B., Hipel, K. W. y Vanloon, G. W. (2018). Using multi-criteria decision analysis for assessing sustainability of agricultural systems. Sustainable Development, 26(6), 781-799. https://doi.org/10.1002/sd.1848
Veisi, H., Deihimfard, R., Shahmohammadi, A. y Hydarzadeh, Y. (2022). Application of the analytic hierarchy process (AHP) in a multi-criteria selection of agricultural irrigation systems. Agricultural Water Management, 267, 107619.
Aznar Bellver, J., y Estruch Guitart, V. (2011). Valoración de activos ambientales mediante métodos multicriterio. Aplicación a la valoración del Parque Natural del Alto Tajo. Economía Agraría y Recursos Naturales (Internet), 7(13), 107-. https://doi.org/10.7201/earn.2007.13.06
Bartzas, G. y Komnitsas, K. (2020). An integrated multi-criteria analysis for assessing sustainability of agricultural production at regional level. Information Processing in Agriculture, 7(2), 223-232.
Boggia, A., Massei, G., Pace, E., Rocchi, L., Paolotti, L. y Attard, M. (2018). Spatial multicriteria analysis for sustainability assessment: A new model for decision making. Land Use Policy, 71, 281-292. https://doi.org/10.1016/j.landusepol.2017.11.036
Boroushaki, S. y Malczewski, J. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computers y Geosciences, 34(4), 399-410. https://doi.org/10.1016/j.cageo.2007.04.003
Chaves Agudelo, J. (2011). Análisis multicriterio de la sustentabilidad ambiental de los sistemas productivos agropecuarios presentes en la alta montaña del complejo Páramo de Guerrero (tesis de maestría). Universidad Nacional de Colombia.
Cicciù, B., Schramm, F. y Schramm, V. B. (2022). Multi-criteria decision making/aid methods for assessing agricultural sustainability: A literature review. Environmental Science & Policy, 138, 85-96.
Colombia, Ministerio de Ambiente y Desarrollo Sostenible. (19 de diciembre de 2014). Resolución No. 2090. Por medio de la cual se delimita el Páramo Jurisdicciones - Santurbán - Berlín, y se adoptan otras determinaciones.
Dal Moro, L., Pauli, J., Maculan, L. S., Neckel, A., Pivoto, D., Laimer, C. G., Bodah, E. T., Bodah, B. W. y Do Carmo, V. (2023). Sustainability in agribusiness: Analysis of environmental changes in agricultural production using spatial geotechnologies. Environmental Development, 45, 100807.
D’Ambrosio, E., De Girolamo, A. M. y Rulli, M. C. (2018). Assessing sustainability of agriculture through water footprint analysis and in-stream monitoring activities. Journal of Cleaner Production, 200, 454-470.
DANE. (2015). Censo Nacional Agropecuario 2014. DANE. https://www.dane.gov.co/index.php/estadisticas-por-tema/agropecuario/censo-nacional-agropecuario-2014
El Jazouli, A., Barakat, A. y Khellouk, R. (2019). GIS-multicriteria evaluation using AHP for landslide susceptibility mapping in Oum Er Rbia high basin (Morocco). Geoenvironmental Disasters, 6(1), 1-12. https://doi.org/10.1186/s40677-019-0119-7
Esse, C., Valdivia, P., Encina-Montoya, F., Aguayo, C., Guerrero, M. y Figueroa, D. (2014). Modelo de análisis espacial multicriterio (AEMC) para el mapeo de servicios ecosistémicos en cuencas forestales del sur de Chile. Bosque (Valdivia), 35(3), 289-299. https://doi.org/10.4067/S0717-92002014000300004
Forest Trends. (2008). Payments for Ecosystem Services: Getting Started. https://wedocs.unep.org/bitstream/handle/20.500.11822/9150/payment_ecosystem.pdf?sequence=1&isAllowed=y
Franco, C. A. (2011). Desarrollo de un modelo basado en análisis espacial multicriterio para la determinación de unidades de ordenación forestal. Caso departamento del Casanare (tesis de maestría). Universidad Nacional de Colombia, Bogotá, Colombia.
Gamboa, G. y Munda, G. (2007). The problem of windfarm location: A social multi-criteria evaluation framework. Energy Policy, 35(3), 1564-1583. https://doi.org/10.1016/j.enpol.2006.04.021
Garcés, J. (2015). Aplicación de Evaluación Multicriterio y Sistemas de Información Geográfica para el modelado de la capacidad de acogida para la localización de viviendas de mediana densidad. Caso de estudio Cuenca del río Guadalajara (Valle del Cauca) (tesis de pregrado). Universidad del Valle, Cali, Colombia.
Garmendia, E., Gamboa, G., Franco, J., Garmendia, J. M., Liria, P. y Olazabal, M. (2010). Social multi-criteria evaluation as a decision support tool for integrated coastal zone management. Ocean y Coastal Management, 53(7), 385-403. https://doi.org/10.1016/j.ocecoaman.2010.05.001
Hagagg, K., Hussien, R., Rayan, R. y Ewes, R. (2023). Development of Sustainable Agriculture Land-Use Index in Arid Regions Using Analytical Hierarchy Process (AHP) and Remote Sensing. En A. A. Gad, D. Elfiky, A. Negm y S. Elbeih (Eds.), Applications of Remote Sensing and GIS Based on an Innovative Vision (pp. 317-324). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40447-4_36
Kamali, F. P., Borges, J. A., Meuwissen, M. P., De Boer, I. J. y Lansink, A. G. O. (2017). Sustainability assessment of agricultural systems: The validity of expert opinion and robustness of a multi-criteria analysis. Agricultural Systems, 157, 118-128. https://doi.org/10.1016/j.agsy.2017.07.013
Mesa, P., Ortega, J. M. y Berbel, J. (2008). Análisis multicriterio de preferencias sociales en gestión hídrica bajo la Directiva Marco del Agua. Economía Agraria y Recursos Naturales, 8(2), 105-126. https://doi.org/10.7201/earn.2008.02.06
Muhsin, N., Ahamed, T. y Noguchi, R. (2018). GIS-based multi-criteria analysis modelling used to locate suitable sites for industries in suburban areas in Bangladesh to ensure the sustainability of agricultural lands. Asia-Pacific Journal of Regional Science, 2(1), 35-64. https://doi.org/10.1007/s41685-017-0046-0
Munda, G. (1995). Multicriteria Evaluation in a Fuzzy Environment: The Naiade Method. En Multicriteria Evaluation in a Fuzzy Environment (pp. 131-148). Springer. https://doi.org/10.1007/978-3-642-49997-5_7.
Nijkamp, P., Rietveld, P. y Voogd, H. (2013). Multicriteria evaluation in physical planning. Elsevier.
Omarzadeh, D., Pourmoradian, S., Feizizadeh, B., Khallaghi, H., Sharifi, A. y Kamran, K. V. (2022). A GIS-based multiple ecotourism sustainability assessment of West Azerbaijan province, Iran. Journal of Environmental Planning and Management, 65(3), 490-513. https://doi.org/10.1080/09640568.2021.1887827
Raihan, A. (2024). A systematic review of Geographic Information Systems (GIS) in agriculture for evidence-based decision making and sustainability. Global Sustainability Research, 3(1), 1-24.
Reimov, M., Mamatkulov, Z., Shermanov, U., Oymatov, R., Khamraliev, A. y Abdurashitov, B. (2023). Spatial analysis in decision-making on agriculture activities. E3S Web of Conferences, 386, 01002. https://n9.cl/69rsj
Riascos, E. M. (2010). El análisis multicriterio en la gestión de la biodiversidad (tesis de maestría). Universidad Nacional de Colombia, Medellín, Colombia.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. https://doi.org/10.1016/0377-2217(90)90057-I
Talukder, B., Hipel, K. W. y Vanloon, G. W. (2018). Using multi-criteria decision analysis for assessing sustainability of agricultural systems. Sustainable Development, 26(6), 781-799. https://doi.org/10.1002/sd.1848
Veisi, H., Deihimfard, R., Shahmohammadi, A. y Hydarzadeh, Y. (2022). Application of the analytic hierarchy process (AHP) in a multi-criteria selection of agricultural irrigation systems. Agricultural Water Management, 267, 107619.
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