Identificación de áreas prioritarias para la conservación en Popayán mediante modelos de nicho ecológico

Palabras clave: biodiversidad urbana, conservación, modelización ecológica, planificación ambiental, manejo sostenible, riqueza de especies

Resumen

Este estudio identifica áreas prioritarias para la conservación de la biodiversidad en Popayán, Colombia, utilizando modelado de nichos ecológicos (ENM). Esta investigación responde a la necesidad de herramientas precisas para la planificación ambiental en entornos urbanos y periurbanos. Se recopilaron datos georreferenciados de 18 especies representativas de seis taxones (anfibios, aves, insectos, mamíferos, plantas y reptiles) a partir de plataformas de ciencia ciudadana como iNaturalist y GBIF. Los registros fueron procesados y complementados con 19 variables bioclimáticas obtenidas de WorldClim, ajustadas a una resolución de 600 m para garantizar mayor precisión en los modelos.

La metodología incluyó la calibración de modelos utilizando el paquete KUENM en R, evaluados con criterios estadísticos como ROC parcial, tasas de omisión y AICc. Los resultados permitieron identificar áreas con alta densidad de especies, concentradas principalmente en zonas urbanas y periurbanas, destacando valores de hasta 18 especies por hectárea. Estas zonas se identificaron como prioritarias para la conservación, sugiriendo su integración en estrategias de manejo ambiental, como la creación de espacios verdes y la implementación de políticas sostenibles.

Los hallazgos resaltan el valor del modelado de nichos ecológicos como herramienta para la planificación y conservación de la biodiversidad en áreas urbanas, aunque subrayan la necesidad de superar limitaciones como el sesgo en los datos y la falta de información sobre microhábitats.

Descargas

Los datos de descargas todavía no están disponibles.

Referencias bibliográficas

Addison, P. F. E., Rumpff, L., Bau, S. S., Carey, J. M., Chee, Y. E., Jarrad, F. C., McBride, M. F. y Burgman, M. A. 2013. Practical solutions for making models indispensable in conservation decision-making. Diversity and Distributions, 19(5–6), 490–502. https://doi.org/10.1111/ddi.12054

Amézquita, A., Mazariegos-H, L. A., Cañaveral, S., Orejuela, C., Barragán-Contreras, L. A. y Daza, J. M. 2023. Species richness under a vertebral stripe: integrative taxonomy uncovers three additional species of Pholidobolus lizards (Sauria, Squamata, Gymnophthalmidae) from the north-western Colombian Andes. ZooKeys, 114,1141-119. https://doi.org/10.3897/ZOOKEYS.1141.94774

Barve, N., Barve, V., Jiménez-Valverde, A., Lira-Noriega, A., Maher, S. P., Peterson, A. T., Soberón, J. y Villalobos, F. 2011. The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecological Modelling, 222(11), 1810–1819. https://doi.org/10.1016/j.ecolmodel.2011.02.011

Bonney, R., Shirk, J. L., Phillips, T. B., Wiggins, A., Ballard, H. L., Miller-Rushing, A. J. y Parrish, J. K. 2014. Next steps for citizen science. Science, 343(6178), 1436–1437. https://doi.org/10.1126/science.1251554

Brenning, A., Bangs, D. y Becker, M. 2022. SAGA Geoprocessing and Terrain Analysis [R package RSAGA version 1.4.0]. CRAN: Contributed Packages. https://doi.org/10.32614/CRAN.PACKAGE.RSAGA

Burgman, M. A. y Fox, J. C. 2003. Bias in species range estimates from minimum convex polygons: Implications for conservation and options for improved planning. Animal Conservation, 6(1), 19–28. https://doi.org/10.1017/S1367943003003044

Chen, R., Carruthers-Jones, J., Carver, S. y Wu, J. 2024. Constructing urban ecological corridors to reflect local species diversity and conservation objectives. Science of The Total Environment, 907, 167987. https://doi.org/10.1016/J.SCITOTENV.2023.167987

Chinga, J., Murúa, M. y Gelcich, S. 2024. Exploring perceptions towards biodiversity conservation in urban parks: Insights on acceptability and design attributes. Journal of Urban Management, 13(3), 425–436. https://doi.org/10.1016/j.jum.2024.05.006

Cobos, M. E., Townsend Peterson, A., Barve, N. y Osorio-Olvera, L. 2019. kuenm: An R package for detailed development of ecological niche models using Maxent. PeerJ, 7:e6281. https://doi.org/10.7717/peerj.6281

Colwell, R. K. y Rangel, T. F. 2009. Hutchinson’s duality: The once and future niche. Proceedings of the National Academy of Sciences, 106 (supplement_2), 19651–19658. https://doi.org/10.1073/pnas.0901650106

Costa-Pinto, A. L. da, Bovendorp, R. S., Heming, N. M., Malhado, A. C. y Ladle, R. J. 2024. Where could they go? Potential distribution of small mammals in the Caatinga under climate change scenarios. Journal of Arid Environments, 221, 105133. https://doi.org/10.1016/J.JARIDENV.2024.105133

Devictor, V., Whittaker, R. J. y Beltrame, C. 2010. Beyond scarcity: Citizen science programmes as useful tools for conservation biogeography. Diversity and Distributions, 16(3), 354–362. https://doi.org/10.1111/j.1472-4642.2009.00615.x

Elith, J. y Leathwick, J. R. 2009. Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677–697. https://doi.org/10.1146/annurev.ecolsys.110308.120159

Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E. y Yates, C. J. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43–57. https://doi.org/10.1111/j.1472-4642.2010.00725.x

Esquivel, D. A., Aya-Cuero, C., Penagos, A. P., Chacón-Pacheco, J., Agámez-López, C. J., Ochoa, A. V., Ramírez-Chaves, H. E. y Bennett, D. 2020. Updating the distribution of Vampyrum spectrum (Chiroptera, Phyllostomidae) in Colombia: new localities, potential distribution and notes on its conservation. Neotropical Biology and Conservation, 15(4), 689–709. https://doi.org/10.3897/NEOTROPICAL.15.E58383

Fick, S. E. y Hijmans, R. J. 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. https://doi.org/10.1002/joc.5086

Franklin, J. 2010. Mapping Species Distributions: Spatial Inference and Prediction, 1–320. Cambridge University Press. https://doi.org/10.1017/CBO9780511810602

GBIF Secretariat, IAIA. 2020. Buenas prácticas para la publicación de datos sobre biodiversidad procedentes de evaluaciones de impacto ambiental. Copenhagen: GBIF Secretariat. https://doi.org/10.35035/doc-5xdm-8762

GBIF.org. 2023. Página de Inicio de GBIF. https://www.gbif.org

Geldmann, J., Heilmann-Clausen, J., Holm, T. E., Levinsky, I., Markussen, B., Olsen, K., Rahbek, C. y Tøttrup, A. P. 2016. What determines spatial bias in citizen science? Exploring four recording schemes with different proficiency requirements. Diversity and Distributions, 22(11), 1139–1149. https://doi.org/10.1111/ddi.12477

González Orozco, C., Jarvis, A. y Palacio, J. D. 2011. Predicción de la distribución climática del roble colombiano Quercus humboldtii Bonpl. (Fagaceae). Revista Novedades Colombianas, 11(1), 3–14. Disponible en: https://revistas.unicauca.edu.co/index.php/novedades/article/view/1173

Haklay, M. 2013. Citizen science and volunteered geographic information: Overview and typology of participation. En Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice (Vol. 9789400745872, pp. 105–122). Springer Netherlands. https://doi.org/10.1007/978-94-007-4587-2_7

Harrington, E. G. 2019. Citizen Science. En Academic Libraries and Public Engagement with Science and Technology (pp. 115–144). Elsevier. https://doi.org/10.1016/B978-0-08-102124-8.00005-2

Hutchinson, G. E. 1978. An introduction to population ecology. [competition theory]. Yale University, Press, 1–260.

Isaac, N. J. B., Jarzyna, M. A., Keil, P., Dambly, L. I., Boersch-Supan, P. H., Browning, E., Freeman, S. N., Golding, N., Guillera-Arroita, G., Henrys, P. A., Jarvis, S., Lahoz-Monfort, J., Pagel, J., Pescott, O. L., Schmucki, R., Simmonds, E. G. y O’Hara, R. B. 2020. Data Integration for Large-Scale Models of Species Distributions. Trends in Ecology & Evolution, 35(1), 56–67. https://doi.org/10.1016/J.TREE.2019.08.006

iNaturalist. 2024. iNaturalis. Disponible en https://www.naturalist.org

Kong, F., Yin, H., Nakagoshi, N. y Zong, Y. 2010. Urban green space network development for biodiversity conservation: Identification based on graph theory and gravity modeling. Landscape and Urban Planning, 95(1–2), 16–27. https://doi.org/10.1016/j.landurbplan.2009.11.001

Kumar, S., Graham, J., West, A. M. y Evangelista, P. H. 2014. Using district-level occurrences in MaxEnt for predicting the invasion potential of an exotic insect pest in India. Computers and Electronics in Agriculture, 103, 55–62. https://doi.org/10.1016/J.COMPAG.2014.02.007

Leavitt, S.M., Cook-Patton, S. C., Marx, L., Drever, C. R., Carrasco-Denney, V., Kroeger, T., Navarrete, D., Nan, Z., Novita, N., Malik, A., Pelletier, K., Hamrick, K., Granziera, B., Zganjar, C., Gonzalez, J., Ellis, P., Verdieck, J., Ordóñez, M. F., Gongora, C. y Del Castillo Plata, J. 2021. Manual de soluciones naturales al cambio climático: Una guía técnica para evaluar las oportunidades de mitigación basadas en la naturaleza a nivel nacional. The Nature Conservancy, Arlington, VA, USA.

Leroy, B., Meynard, C. N., Bellard, C. y Courchamp, F. 2016. virtualspecies, an R package to generate virtual species distributions. Ecography, 39(6), 599–607. https://doi.org/10.1111/ECOG.01388

Li, X., Ou, X., Sun, X., Li, H., Li, Y. y Zheng, X. 2024. Urban biodiversity conservation: A framework for ecological network construction and priority areas identification considering habit differences within species. Journal of Environmental Management, 365, 121512. https://doi.org/10.1016/j.jenvman.2024.121512

Lu, Z., Zhai, Y., Meng, D., Kou, G., Li, H. y Liu, J. 2021. Predicting the potential distribution of wintering Asian Great Bustard (Otis tarda dybowskii) in China: Conservation implications. Global Ecology and Conservation, 31, e01817. https://doi.org/10.1016/J.GECCO.2021.E01817

Mamián Lopez, L. y Zamora Gonzáles, H. 2016. Estudio ecológico del cangrejo de río, Hypolobocera sp (Crustacea, decapoda) en la quebrada mano de oso, jardín botánico de Popayán, municipio de Timbío, Cauca-Colombia. Revista Colombiana de Ciencia Animal - RECIA 8(2), 142–150. Disponible en: https://www.redalyc.org/articulo.oa?id=595879100002

Melo-Merino, S. M., Reyes-Bonilla, H. y Lira-Noriega, A. 2020. Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence. Ecological Modelling, 415, 108837. https://doi.org/10.1016/J.ECOLMODEL.2019.108837

Monk, J., Ierodiaconou, D., Versace, V. L., Bellgrove, A., Harvey, E., Rattray, A., Laurenson, L. y Quinn, G. P. 2010. Habitat suitability for marine fishes using presence-only modelling and multibeam sonar. Marine Ecology Progress Series, 420, 157–174. https://doi.org/10.3354/meps08858

Moore, C., Drazen, J. C., Radford, B. T., Kelley, C. y Newman, S. J. 2016. Improving essential fish habitat designation to support sustainable ecosystem-based fisheries management. Marine Policy, 69, 32–41. https://doi.org/10.1016/j.marpol.2016.03.021

Muluneh, M. G. y Worku, B. B. 2022. Contributions of urban green spaces for climate change mitigation and biodiversity conservation in Dessie city, Northeastern Ethiopia. Urban Climate, 46, 101294. https://doi.org/10.1016/J.UCLIM.2022.101294

Nishi, M., Suneetha, ·, Subramanian, M., Gupta, H., Yoshino, M., Takahashi, Y., Miwa, K. y Takeda, T. (Eds.). 2021. Fostering Transformative Change for Sustainability in the Context of Socio-Ecological Production Landscapes and Seascapes (SEPLS). Springer Singapore. https://doi.org/https://doi.org/10.1007/978-981-33-6761-6

Osorio-Olvera, L., Lira-Noriega, A., Soberón, J., Peterson, A. T., Falconi, M., Contreras-Díaz, R. G., Martínez-Meyer, E., Barve, V. y Barve, N. 2020. ntbox: An r package with graphical user interface for modelling and evaluating multidimensional ecological niches. Methods in Ecology and Evolution, 11(10), 1199–1206. https://doi.org/10.1111/2041-210X.13452

Ospina Moreno, M., Chamorro Ruiz, S., Anaya García, C., Echeverri Ramírez, P., Atuesta, C., Zambrano, H., Abud, M., Herrera, C., Ciontescu, N., Guevara, O., Zarrate, D. y Barrero, A. 2020. Guía para la planificación del manejo en las áreas protegidas del Sinap Colombia. 159 pp. Cali - Colombia.

Pecchi, M., Marchi, M., Burton, V., Giannetti, F., Moriondo, M., Bernetti, I., Bindi, M. y Chirici, G. 2019. Species distribution modelling to support forest management. A literature review. Ecological Modelling, 411, 108817. https://doi.org/10.1016/J.ECOLMODEL.2019.108817

Peterson, A. T. y Soberón, J. 2012. Species distribution modeling and ecological niche modeling: Getting the Concepts Right. Natureza a Conservacao, 10(2), 102–107. https://doi.org/10.4322/natcon.2012.019

Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E. y Blair, M. E. 2017. Opening the black box: an open-source release of Maxent. Ecography, 40(7), 887–893. https://doi.org/10.1111/ecog.03049

Phillips, S. J., Anderson, R. P. y Schapire, R. E. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026

Pineda-Pinto, M., Kennedy, C., Nulty, F. y Collier, M. 2024. Leverage points for improving urban biodiversity conservation in the Anthropocene: A novel ecosystem lens for social-ecological transformation. Environmental Science and Policy, 162, 103926. https://doi.org/10.1016/j.envsci.2024.103926

R: The R Project for Statistical Computing. 2025. https://www.r-project.org/

Ramirez-Chaves, H., Pisso-Florez, G. A., Liévano-Bonilla, A. F., Ayerbe-Quiñones, F., Anganoy-Criollo, M. y Noguera-Urbano, E. A. 2018. On the distribution of the endemic Boettger’s Colombian Treefrog, Dendropsophus columbianus (Anura: Hylidae) with distribution extension in Southwestern Colombia. Herpetology Notes, 11, 49–58. Disponible en: https://www.biotaxa.org/hn/article/view/29759

Rojas Quezada, C. 2024. Urban Wetlands in Latin America (C. Rojas Quezada, Ed.). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-69590-2

Saha, A., Rahman, S. y Alam, S. 2021. Modeling current and future potential distributions of desert locust Schistocerca gregaria (Forskål) under climate change scenarios using MaxEnt. Journal of Asia-Pacific Biodiversity, 14(3), 399–409. https://doi.org/10.1016/J.JAPB.2021.05.001

Sillero, N., Barbosa, M., Martínez-Freiría, F. y Real, R. 2010. Los modelos de nicho ecológico en la herpetología ibérica: pasado, presente y futuro. Boletín de la Asociación Herpetológica Española, 21(1), 2-24. Disponible en: https://herpetologica.es/articulos-aceptados-para-el-volumen-21/

Urcádiz-Cázares, F. J., Cruz-Escalona, V. H., Peterson, M. S., Marín-Enriquez, E., González-Acosta, A. F., Martínez-Flores, G., Hernández-Carmona, G. H., Aguilar-Medrano, R., Del Pino-Machado, A. y Ortega-Rubio, A. 2021. Ecological niche modelling of endemic fish within La Paz Bay: Implications for conservation. Journal for Nature Conservation, 60, 125981. https://doi.org/10.1016/j.jnc.2021.125981

Wang, A., Melton, A. E., Soltis, D. E. y Soltis, P. S. 2022. Potential distributional shifts in North America of allelopathic invasive plant species under climate change models. Plant Diversity, 44(1), 11–19. https://doi.org/10.1016/J.PLD.2021.06.010

Wang, F., Yuan, X., Sun, Y. y Liu, Y. 2024. Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality. Ecological Indicators, 158, 111491. https://doi.org/10.1016/j.ecolind.2023.111491

Yang, R., Chen, S., Dong, X., Wang, K., He, T., Chen, H., Li, X., Ye, Y. y Xiao, W. 2024. Revealing conflict risk between landscape modification and species conservation in the context of climate change. Journal of Cleaner Production, 479, 144028. https://doi.org/10.1016/J.JCLEPRO.2024.144028

Young, B. E., Dodge, N., Hunt, P. D., Ormes, M., Schlesinger, M. D. y Shaw, H. Y. 2019. Using citizen science data to support conservation in environmental regulatory contexts. Biological Conservation, 237, 57–62. https://doi.org/10.1016/j.biocon.2019.06.016

Yu, H., Xiao, H. y Gu, X. 2024. Integrating species distribution and piecewise linear regression model to identify functional connectivity thresholds to delimit urban ecological corridors. Computers, Environment and Urban Systems, 113, 102177. https://doi.org/10.1016/J.COMPENVURBSYS.2024.102177

Cómo citar
Obando Certuche, E. E. (2025). Identificación de áreas prioritarias para la conservación en Popayán mediante modelos de nicho ecológico. Revista Novedades Colombianas, 20(1). https://doi.org/10.47374/novcol.2025.v20.2598
Publicado
2025-07-28
Escanea para compartir
QR Code

Algunos artículos similares: