Operational Model of the Environmental Fragility Index underData Constraints: Application and Validation in the SantaMarta Micro-Watershed, Costa Rica
DOI:
https://doi.org/10.15359/Keywords:
environmental fragility, territorial planning, GIS, micro-watershed, cross-validation, simplified EFIAbstract
This article presents an operational model of the Environmental Fragility Index (EFI) applied under conditions of structural constraints in technical, institutional, and budgetary data, using the Santa Marta micro-watershed (Tarrazú, Costa Rica) as a case study. Three key biophysical variables (slope, surface geology, and natural hazards) were integrated
through spatial multi-criteria analysis with equal weighting in an open-source Geographic Information System (GIS) environment. The resulting index revealed a predominance of medium fragility (mean value of 2.75), with high-fragility categories concentrated on slopes exceeding 30%. Spatial coherence was assessed through overlay analysis with independent environmental inputs, including water quality indicators, corrected land cover data, and a functional zoning proposal, showing significant correspondence between areas of high fragility and zones under anthropogenic pressure. Based on this experience, the study proposes strategic guidelines for progressive implementation in rural municipalities with limited technical capacity. The findings demonstrate that the adapted EFI constitutes a methodologically consistent tool to support preventive territorial planning in mountainous microwatersheds, provided that its scope and limitations are explicitly acknowledged.
References
Ahamed, T., Rao, K., & Murthy, J. (2000). GIS-based multi-criteria evaluation for
land suitability modeling. Environmental Manage-
ment, 25(6), 709–719.
Benegas-Negri, D., & Jiménez-Otárola, J. (2018). Herramientas para la
planificación del uso del suelo en territorios de montaña en Centroamérica. CATIE.
Birkmann, J., Cardona, O. D., Carreño, M. L., Barbat, A. H., Pelling, M.,
Schneiderbauer, S., Kienberger, S., Keiler, M., Alexander, D., Zeil,
P., & Welle, T. (2013). Framing vulnerability, risk and societal res-
ponses: The MOVE framework. Natural Hazards, 67, 193–211.
Bozzano, R., Abarca, M., & Calderón, D. (2008). Metodologías para la
gestión del riesgo en el ordenamiento territorial. CEPAL.
Brovelli, M. A., Minghini, M., & Zamboni, G. (2017). Collaborative mapping
and volunteered geographic information: A review of the main platfor-
ms and the impacts of user contributions. ISPRS International Journal
of Geo-Information, 6(7), 199. https://doi.org/10.3390/ijgi6070199
Burrough, P. A., & McDonnell, R. A. (1998). Principles of geographical
information systems. Oxford University Press. Castillo, M., & Fallas, M. (2017).
Manual de aplicación de instrumentos técnicos en gestión de riesgos para gobiernos locales.
Comisión Nacional de Emergencias.
CATIE. (2017). Gestión participativa de cuencas: herramientas y metodo-
logías. CATIE.
Chacón-Barrantes, S., & Segura-Bonilla, O. (2021). Evaluación multicri-
terio para la zonificación ambiental en cuencas hidrográficas. Revis-
ta Geográfica de América Central, 66(2), 135–159.
Chen, Y., Yu, J., & Khan, S. (2010). The spatial framework for weight
sensitivity analysis in GIS-based multi-criteria decision making. En-
vironmental Modelling & Software, 25(12), 1587–1601.
Comisión Nacional de Emergencias. (2021). Mapas nacionales de amena-
zas por deslizamientos e inundaciones. CNE.
Debolini, M., Marraccini, E., Dubeuf, J. P., Geijzendorffer, I., Guerra, C.,
Simon, M., Targetti, S., & Napoléone, C. (2015). Land use changes and rural
mountain systems: A review of driving forces and proces-
ses. Land Use Policy, 49, 437–450.
Denyer, P., & Arias, O. (1991). Geología de la hoja Dota 3345 I. Cartogra-
fía geológica escala 1:50 000. Instituto Costarricense de Electricidad.
Eastman, J. R. (2012). IDRISI Selva manual. Clark University.
FAO. (2006). Guidelines for soil description (4th ed.). Food and Agricul-
ture Organization of the United Nations.
FAO. (2018). Guía para la evaluación de la degradación de tierras. Food
and Agriculture Organization of the United Nations.
Fernández-Manrique, R., Durán, J., & González, A. (2015). La validación
cruzada como estrategia metodológica para aumentar la confiabili-
dad de análisis espaciales. Revista de Geografía Norte Grande, 60,
7–28. https://doi.org/10.4067/S0718-34022015000100001
Folke, C., Carpenter, S. R., Walker, B., Scheffer, M., Chapin, T., & Rocks-
tröm, J. (2010). Resilience thinking: Integrating resilience, adaptabi-
lity and transformability. Ecology and Society, 15(4).
González-Briceño, J., & Rojas-Brenes, M. (2020). Mapas de fragilidad
ambiental como base para la toma de decisiones en territorios ru-
rales. Ambiente y Desarrollo, 24(1), 45–61.
Goyenaga Soto, A. (2025). Impacto del uso de suelo y la hidrogeología so-
bre la calidad de los cuerpos de agua superficial en la microcuenca
Santa Marta, Tarrazú, Costa Rica (Tesis de maestría). Universidad
Estatal a Distancia.
Global Water Partnership. (2014). Integrated water resources management
in practice. GWP.
Instituto Costarricense de Electricidad (ICE). (2008). Estudios técnicos del
Proyecto Hidroeléctrico Pirrís: diagnóstico ambiental y planificación
hidrológica por subcuencas.
Instituto Nacional de Vivienda y Urbanismo. (2022). Manual de planes
reguladores como instrumento de ordenamiento territorial. INVU.
Jiménez-Otárola, K., & Benegas-Negri, H. (2019). Gestión integrada de
cuencas hidrográficas: experiencias para América Central. CATIE.
Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015).
Geographic information science and systems (4th ed.). Wiley.
Malczewski, J. (1999). GIS and multicriteria decision analysis. John
Wiley & Sons.
Malczewski, J., & Rinner, C. (2015). Multicriteria decision analy-
sis in geographic information science. Springer. https://doi.
org/10.1007/978-3-540-74757-4
Ministerio de Agricultura y Ganadería. (1995). Reglamento para la clasi-
ficación de tierras por su capacidad de uso (Decreto Ejecutivo n.o
23214-MAG-MIRENEM). Gobierno de Costa Rica.
Ministerio de Ambiente y Energía. (2006). Guía metodológica para la
aplicación del índice de fragilidad ambiental. MINAE.
Morales-Arce, D. (2019). Aplicación de índices geoespaciales para la
gestión del riesgo en zonas montañosas. Revista Geoespacial, 8(2),
71–90.
Odum, E. P., & Barrett, G. W. (2005). Fundamentals of ecology (5th ed.).
Brooks/Cole.
Obando, L. G. (2011). Estratigrafía y tectónica de la parte noreste de
la hoja Dota (escala 1:50 000), Costa Rica. Revista Geológica de
América Central, 44, 63–78.
Panagos, P., Borrelli, P., Meusburger, K., Alewell, C., Lugato, E., & Mon-
tanarella, L. (2015). The new assessment of soil loss by water ero-
sion in Europe. Environmental Science & Policy, 54, 438–447.
Perdomo, L. A. (2016). El silencio de los datos: La invisibilización del
riesgo en contextos rurales. Gestión y Ambiente, 19(2), 45–61.
Pontius, R. G., & Millones, M. (2011). Death to Kappa: Birth of quantity
disagreement and allocation disagreement for accuracy assessment.
International Journal of Remote Sensing, 32(15), 4407–4429.
Programa Estado de la Nación. (2023). Estado de la Nación en desarrollo
humano sostenible 2023. CONARE. https://estadonacion.or.cr
QGIS Development Team. (2024). QGIS geographic information system.
Open Source Geospatial Foundation. http://qgis.org
Sarkar, S., Das, A., & Pal, S. C. (2021). GIS-based environmental vulne-
rability assessment using multi-criteria decision analysis: A review.
Sustainability, 13(4), 2162.
Sistema Nacional de Información Territorial (SNIT). (2025). Plataforma
de información geoespacial de Costa Rica. https://www.snitcr.go.cr
Downloads
Additional Files
Published
Issue
Section
License
Copyright (c) 2026 Catalina Vargas Meneses, Gladys Rincón Polo

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Proposed policy for journals offering Open Access
Authors publishing their works in the Journal acknowledge and agree to the following terms:
a) Authors retain the copyrights to their works and guarantee the Journal the right to be the first to publish their works, under the Creative Commons License Attribution-NonCommercial-ShareAlike 4.0 International, CC BY-NC-SA 4.0 International (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es), which allows others to share works upon complying with the acknowledgment of authorship and mention of the Journal as the original publisher of the work.
b) Authors are permitted to separately establish additional agreements for the non-exclusive distribution of the official edition of the work published in the Journal (for example, authors may desire to place the work in an institutional repository or incorporate it into a book that is to published elsewhere) so long they acknowledgment to recognize the Journal as the original publisher. The aforementioned additional agreements must respect the terms of the non-profit character and sharing philosophy of the original license (CC BY-NC-SA 4.0 International, https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es).
c) Authors are encouraged to archive the post-print or editor/PDF version in Open Access repositories.

REVGEO is licensed under https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
.svg_4.png)

_(1).png)
_(1)_(1)_(1)_1.png)
(2)(1)(1)(1).png)