Publicación: Análisis geoespacial de las zonas de acumulación de atropellamiento de fauna silvestre para la formulación de estrategias de prevención y mitigación al impacto en la Concesión Túnel Aburrá Oriente – Colombia
| dc.contributor.advisor | Jaramillo Fayad, Juan Carlos | |
| dc.contributor.advisor | Esteban Alexander García Suárez | |
| dc.contributor.author | Moscoso Perdomo, Danna Paola | |
| dc.contributor.corporatename | Institución Universitaria ITM | |
| dc.contributor.email | dannamoscoso282121@correo.itm.edu.co | |
| dc.contributor.jury | Urrego Cárdena, Dany Zulay | |
| dc.contributor.jury | Solari Torres, Sergio | |
| dc.contributor.jury | Acevedo Quintero, Juan Fernando | |
| dc.contributor.researchgroup | Ciencias Exactas y Aplicadas::Química Básica, Aplicada y Ambiente | |
| dc.coverage.temporal | Colombia | |
| dc.coverage.temporal | Antioquia | |
| dc.date.accessioned | 2026-04-09T19:17:12Z | |
| dc.date.issued | 2026-03-12 | |
| dc.description.abstract | El crecimiento de la infraestructura vial representa una amenaza para la biodiversidad, siendo el atropellamiento de fauna silvestre uno de los impactos más evidentes. Frente a este panorama, se busca generar un análisis que permita comprender cuáles son los factores relacionados con este impacto, teniendo en cuenta la inclusión de variables ambientales y técnicas para mayor integralidad en su entendimiento. Esta investigación tuvo como objetivo formular estrategias de prevención y mitigación mediante análisis geoespacial en la Concesión Túnel Aburrá Oriente. Para alcanzar el objetivo, se realizaron censos sistemáticos durante seis meses, registrando 130 individuos atropellados, ninguno en categoría de amenaza. No obstante, se evidenció una alta diversidad taxonómica afectada, pero baja diversidad funcional entre las especies atropelladas y no se encontraron diferencias significativas entre clases taxonómicas atropelladas respecto a la precipitación, según la prueba de Kruskal-Wallis. Además, el índice de atropellamiento de SIRIEMA estimó una tasa anual de 1.023 individuos atropellados. Para identificar zonas críticas de atropellamiento, se aplicaron distintos métodos espaciales: SIRIEMA, Getis Ord Gi*, KDE+ y autocorrelación espacial, siendo SIRIEMA el método con mejor desempeño según la matriz de confusión con el modelo de Random Forest, empleado para seleccionar las características más relevantes (28 en total, entre técnicas y ambientales) relacionadas con la ocurrencia de atropellamientos. Los resultados indicaron que la proximidad a coberturas vegetales y los extremos de estructuras como Gaviones y New Jersey se asocian con una menor probabilidad de atropellamiento. Con base en estos resultados, se propusieron dos medidas de mitigación adaptadas a las condiciones de cada vía, incluyendo la instalación de barreras alzadoras de vuelo con doble funcionalidad de cerramiento, y la implementación de pasos de fauna, tanto de dosel como arborícolas. Durante la formulación de las propuestas se identificó que una de las limitantes en la implementación de medidas está asociada con el nivel de intervenciones en la zona, lo cual puede afectar la continuidad y eficacia de estas. | spa |
| dc.description.abstract | The expansion of road infrastructure poses a significant threat to biodiversity, with wildlife-vehicle collisions being one of the most evident impacts. In response to this situation, this study aimed to analyze the factors associated with wildlife road mortality by incorporating both environmental and technical variables to achieve a more comprehensive understanding. The main objective of the research was to formulate prevention and mitigation strategies through geospatial analysis within the Concesión Túnel Aburrá Oriente. To achieve this, systematic roadkill surveys were conducted over six months, during which 130 individuals were recorded as roadkill, none of which were classified as threatened species. However, the surveys revealed high taxonomic diversity among the affected species, but low functional diversity. No statistically significant differences were found between taxonomic classes regarding precipitation levels, according to the Kruskal-Wallis test. Additionally, the SIRIEMA roadkill index estimated an annual mortality rate of 1,023 individuals. To identify critical roadkill hotspots, several spatial methods were applied: SIRIEMA, Getis Ord Gi*, KDE+, and spatial autocorrelation. Among these, SIRIEMA demonstrated the best performance based on the confusion matrix generated by the Random Forest model, which was used to select the most relevant features (28 in total, including technical and environmental variables) associated with the occurrence of roadkill events. The results indicated that proximity to vegetation cover and the ends of structures such as gabions and New Jersey barriers were associated with a lower probability of roadkill. Based on these findings, two mitigation measures were proposed, adapted to the specific conditions of each road segment. These included the installation of flight-raising barriers with dual fencing functionality, and the implementation of wildlife crossings, both canopy and arboreal. During the formulation of these proposals, it was identified that one of the main limitations for implementation is the degree of human intervention in the area, which may disrupt the continuity and effectiveness of the proposed measures. | eng |
| dc.description.degreelevel | Maestría | |
| dc.description.degreename | Magíster en Desarrollo Sostenible | |
| dc.description.researcharea | Ciencias Exactas y Aplicadas::Química Básica, Aplicada y Ambiente::Desarrollo sostenible y Química Ambiental | |
| dc.description.sponsorship | Concesión Túnel Aburrá Oriente – Colombia | |
| dc.description.tableofcontents | 1. Introducción ........................................................................................................... 19 1.1 Planteamiento del Problema .......................................................................... 19 1.2 Justificación .................................................................................................... 21 1.3 Hipótesis ......................................................................................................... 24 1.4 Predicciones ................................................................................................... 24 1.5 Objetivos ......................................................................................................... 25 1.5.1 Objetivo General ........................................................................................... 25 1.5.2 Objetivos Específicos .................................................................................... 25 2. Estado del arte ....................................................................................................... 27 2.1 Marco Teórico ................................................................................................. 30 2.1.1 Ecología de carreteras .................................................................................. 30 2.1.2 Atropellamiento de fauna silvestre ................................................................. 31 2.1.3 Zonas de acumulación de atropellamiento .................................................... 32 2.1.4 Variables ambientales ................................................................................... 32 2.1.4.1 Paisaje ................................................................................................. 32 2.1.4.2 Conectividad ecológica ........................................................................ 32 2.1.5 Variables técnicas ......................................................................................... 33 2.1.5.1 Diseño Geométrico de una carretera ................................................... 33 2.1.5.2 Obras de arte vial ................................................................................. 33 3. Capítulo 1 ............................................................................................................... 35 3.1 Zona de estudio .............................................................................................. 36 3.2 Marco metodológico ....................................................................................... 38 3.2.1 Censos de atropellamiento de fauna silvestre ............................................... 38 3.2.1.1 Análisis climático .................................................................................. 41 3.2.2 Diversidad de especies afectadas por atropellamiento .................................. 44 3.2.2.1 Riqueza de especies ............................................................................ 44 3.2.2.2 Diversidad de especies ........................................................................ 45 3.2.2.3 Diversidad Funcional ............................................................................ 48 3.2.3 Zonas de acumulaciones significativas de atropellamiento de fauna ............. 49 3.2.3.1 SIRIEMA .............................................................................................. 50 3.2.3.2 Autocorrelación espacial ...................................................................... 52 3.2.3.3 Getis Ord Gi* ........................................................................................ 54 3.2.3.4 Kernel Density Estimation Plus ............................................................ 55 3.2.4 Índice Kilométrico de Atropellamiento ............................................................ 56 3.3 Resultados ...................................................................................................... 58 3.3.1 Censos de atropellamiento de fauna silvestre ............................................... 58 3.3.1.1 Análisis climático .................................................................................. 61 3.3.2 Diversidad de especies afectadas por atropellamiento .................................. 65 3.3.2.1 Riqueza de especies ............................................................................ 65 3.3.2.2 Diversidad de especies ........................................................................ 67 3.3.2.3 Diversidad funcional ............................................................................. 68 3.3.3 Zonas de acumulaciones significativas de atropellamiento de fauna ............. 73 3.3.3.1 SIRIEMA .............................................................................................. 73 3.3.3.2 Autocorrelación espacial ...................................................................... 79 3.3.3.3 Getis Ord Gi* ........................................................................................ 80 3.3.3.4 Kernel Density Estimation Plus ............................................................. 84 3.3.4 Índice kilométrico de atropellamiento ............................................................. 88 4. Capítulo 2 ................................................................................................................ 89 3.4 Marco metodológico ...................................................................................... 91 3.4.1 Caracterización de variables .......................................................................... 91 Recopilación y procesamiento .................................................................................. 91 Generación de matriz ............................................................................................. 108 3.4.2 Selección de características ........................................................................ 108 3.5 Resultados y discusión ................................................................................111 3.5.1 Caracterización de variables ........................................................................ 111 3.5.2 Selección de características ........................................................................ 127 5. Capítulo 3 .............................................................................................................. 133 5.1 Marco metodológico .....................................................................................134 5.2 Resultados y discusión ................................................................................136 5.2.1 Descripción de medidas de prevención y mitigación .................................... 136 5.2.2 Ubicaciones sugeridas de medidas de prevención y mitigación ................... 149 6. Conclusiones ........................................................................................................ 172 7. Recomendaciones ................................................................................................ 174 8. Propiedad Intelectual ........................................................................................... 175 9. Impactos ............................................................................................................... 176 10. Consideraciones Éticas o Bioéticas ................................................................... 179 11. Conflicto de Intereses .......................................................................................... 181 12. Referencias ........................................................................................................... 182 | spa |
| dc.format.extent | 207 páginas | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.instname | instname:Institución Universitaria ITM | spa |
| dc.identifier.reponame | reponame:Repositorio Institucional Institución Universitaria ITM | spa |
| dc.identifier.repourl | repourl:https://repositorio.itm.edu.co | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12622/8093 | |
| dc.language.iso | spa | |
| dc.publisher | Institución Universitaria ITM | |
| dc.publisher.branch | Campus Robledo | |
| dc.publisher.department | Departamento de Ciencias Ambientales y de la Construcción::Maestría en Desarrollo Sostenible | |
| dc.publisher.faculty | Facultad de Ciencias Exactas y Aplicadas | |
| dc.publisher.grantor | Institución Universitaria ITM | spa |
| dc.publisher.place | Medellín | |
| dc.publisher.program | Maestría en Desarrollo Sostenible | |
| dc.relation.references | Anđelković, M., & Bogdanović, N. (2022). Amphibian and Reptile Road Mortality in Special Nature Reserve Obedska Bara, Serbia. https://www.mdpi.com/2076-2615/12/5/561 | |
| dc.relation.references | ANI. (2015, noviembre 26). Plan Maestro de Transporte 2015-2035, el horizonte de Colombia: Vargas Lleras. Portal ANI. https://www.ani.gov.co/article/plan-maestro-de-transporte-2015-2035-el-horizonte-de-colombia-vargas-lleras-21832 | |
| dc.relation.references | ANSV. (2020). Análisis de impacto normativo—DESEMPEÑO DE SISTEMAS DE CONTENCIÓN VEHICULAR DEFINICIÓN DEL PROBLEMA. https://www.mintransporte.gov.co/loader.php?lServicio=Tools2&lTipo=descargas&lFuncion=descargar&idFile=24954 | |
| dc.relation.references | Arca-Rubio, J., Moreno-Rueda, G., & Ortega, Z. (2023). The distribution of vertebrate roadkill varies by season, surrounding environment, and animal class. European Journal of Wildlife Research, 69(3), 42. https://doi.org/10.1007/s10344-023-01669-z | |
| dc.relation.references | Arroyave, M. del P., Gómez, C., Gutiérrez, M. E., Múnera, D. P., Zapata, P. A., Vergara, I. C., Andrade, L. M., & Ramos, K. C. (2006). IMPACTOS DE LAS CARRETERAS SOBRE LA FAUNA SILVESTRE Y SUS PRINCIPALES MEDIDAS DE MANEJO. Revista EIA, 3(5), Article 5. | |
| dc.relation.references | Ascensão, F., Yogui, D. R., Alves, M. H., Alves, A. C., Abra, F., & Desbiez, A. L. J. (2021). Preventing wildlife roadkill can offset mitigation investments in short-medium term. Biological Conservation, 253, 108902. https://doi.org/10.1016/j.biocon.2020.108902 | |
| dc.relation.references | Astwood-R, J. A., Reyes-D, M. C., Rincón-A, M. T., Pachón-G, J., Eslava-M, P. R., Parra-S, C. A., Astwood-R, J. A., Reyes-D, M. C., Rincón-A, M. T., Pachón-G, J., Eslava-M, P. R., & Parra-S, C. A. (2018). Mortalidad de reptiles en carreteras del piedemonte de los llanos orientales colombianos. Caldasia, 40(2), 321-334. https://doi.org/10.15446/caldasia.v40n2.67578 | |
| dc.relation.references | Australian Government. (2004). Cost Effective Feral Animal Exclusion Fencing for Areas of High Conservation Value in Australia. https://www.dcceew.gov.au/environment/invasive-species/publications/cost-effective-feral-animal-exclusion-fencing | |
| dc.relation.references | Ayerbe-Quiñones, F. (2022). La Guía Ilustrada de la Avifauna Colombiana—LIBRO (3.a ed.). https://asociacioncolombianadeornitologia.org/producto/guia-ilustrada-de-la-avifauna-colombiana-tercera-edicion-en-espanol/ | |
| dc.relation.references | Bager, A. (2018). Infraestrutura Viária & Biodiversidade (Universidade Federal de Lavras, Vol. 1-1). https://bab.empreendedor-academico.com.br/wp-content/uploads/2020/06/Resumo.pdf | |
| dc.relation.references | Balbuena, D., Alonso, A., Panta, M., Garcia, A., & Gregory, T. (2019). Mitigating Tropical Forest Fragmentation with Natural and Semi-Artificial Canopy Bridges. Diversity, 11(4), Article 4. https://doi.org/10.3390/d11040066 | |
| dc.relation.references | Bedoya-V., M. M., Arias-Alzate, A., & Delgado-V., C. A. (2018). Atropellamientos de fauna silvestre en la red vial urbana de cinco ciudades del Valle de Aburrá (Antioquia, Colombia). Caldasia, 40(2), 335-348. https://doi.org/10.15446/caldasia.v40n2.68297 | |
| dc.relation.references | Bellwood, D. r, Wainwright, P. c, Fulton, C. j, & Hoey, A. s. (2005). Functional versatility supports coral reef biodiversity. Proceedings of the Royal Society B: Biological Sciences, 273(1582), 101-107. https://doi.org/10.1098/rspb.2005.3276 | |
| dc.relation.references | Bíl, M., Andrášik, R., & Janoška, Z. (2019). Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation. https://doi.org/10.1016/j.aap.2013.03.003 | |
| dc.relation.references | Bissonette, J., Kassar, C., & Cook, L. (2008). Assessment of Costs Associated with Deer–Vehicle Collisions: Human Death and Injury, Vehicle Damage, and Deer Loss. Human–Wildlife Interactions, 2(1). https://doi.org/10.26077/ns32-mk60 | |
| dc.relation.references | Borges, P. de A., Franke, J., da Anunciação, Y. M. T., Weiss, H., & Bernhofer, C. (2016). Comparison of spatial interpolation methods for the estimation of precipitation distribution in Distrito Federal, Brazil. Theoretical and Applied Climatology, 123(1), 335-348. https://doi.org/10.1007/s00704-014-1359-9 | |
| dc.relation.references | Boycott, T. (2020). Reducing Avian Collisions With Human-Made Structures: A Sensory Ecology Approach To Open-Air Settings. Dissertations, Theses, and Masters Projects. http://dx.doi.org/10.21220/s2-6kpm-d663 | |
| dc.relation.references | Calderón-Caro, J., & Benavides, A. M. (2022). Deforestación y fragmentación en las áreas más biodiversas de la Cordillera Occidental de Antioquia (Colombia). Biota colombiana, 23(1). https://www.redalyc.org/journal/491/49170176010/ | |
| dc.relation.references | Cao, Y., Yang, R., & Carver, S. (2020). Linking wilderness mapping and connectivity modelling: A methodological framework for wildland network planning. Biological Conservation, 251, 108679. https://doi.org/10.1016/j.biocon.2020.108679 | |
| dc.relation.references | Castilho, C. S., Hackbart, V. C. S., Pivello, V. R., & dos Santos, R. F. (2015). Evaluating Landscape Connectivity for Puma concolor and Panthera onca Among Atlantic Forest Protected Areas. Environmental Management, 55(6), 1377-1389. https://doi.org/10.1007/s00267-015-0463-7 | |
| dc.relation.references | Castro, M. O. L., & Pava, D. C. R. (2022). Lineamientos de Infraestructura Verde Vial para Colombia. MINISTERIO DE TRANSPORTE. http://web.mintransporte.gov.co/jspui/handle/001/10500 | |
| dc.relation.references | Chao, A. (1984). Nonparametric Estimation of the Number of Classes in a Population. Scandinavian Journal of Statistics, 11(4), 265-270. | |
| dc.relation.references | Claramunt, S., Hong, M., & Bravo, A. (2022). The effect of flight efficiency on gap-crossing ability in Amazonian forest birds. Biotropica, 54(4), 860-868. https://doi.org/10.1111/btp.13109 | |
| dc.relation.references | Clevenger, A. P., Chruszczc, B., & Gunson, K. E. G. (2003). Spatial patterns and factors influencing small vertebrate fauna road-kill aggregations. Biological Conservation, 109(1), 15-26. https://doi.org/10.1016/S0006-3207(02)00127-1 | |
| dc.relation.references | Clevenger, A. P., & Kociolek, A. (2013a). Potential Impacts of Highway Median Barriers on Wildlife: State of the Practice and Gap Analysis | Environmental Management. Environmental Management, 52, 1299-1312. https://doi.org/10.1007/s00267-013-0155-0 | |
| dc.relation.references | Clevenger, A. P., & Kociolek, A. V. (2013b). Potential Impacts of Highway Median Barriers on Wildlife: State of the Practice and Gap Analysis. Environmental Management, 52(5), 1299-1312. https://doi.org/10.1007/s00267-013-0155-0 | |
| dc.relation.references | Clevenger, A. P., & Kociolek, A. V. (2013c). Potential Impacts of Highway Median Barriers on Wildlife: State of the Practice and Gap Analysis | SpringerLink. https://link.springer.com/article/10.1007/s00267-013-0155-0 | |
| dc.relation.references | Clevenger, A. P., & Waltho, N. (2005). Performance indices to identify attributes of highway crossing structures facilitating movement of large mammals. Biological Conservation, 121(3), 453-464. https://doi.org/10.1016/j.biocon.2004.04.025 | |
| dc.relation.references | CMS. (2022). Wildlife and power lines: Guidelines for preventing and mitigating wildlife mortality associated with electricity distribution networks. IUCN. https://doi.org/10.2305/IUCN.CH.2022.10.en | |
| dc.relation.references | Coelho, A. P., Coelho, I. P., Teixeira, F. Z., & Kindel, A. (2017). Siriema: Road mortality software. User’s Manual V. 2.0. https://doi.org/10.13140/RG.2.2.19953.38242 | |
| dc.relation.references | Coffin, A. W. (2007). From roadkill to road ecology: A review of the ecological effects of roads. Journal of Transport Geography, 15(5), 396-406. https://doi.org/10.1016/j.jtrangeo.2006.11.006 | |
| dc.relation.references | Colino Rabanal, V. J. (2011). Contribuciones al análisis de mortalidad de vertebrados en carreteras. https://doi.org/10.14201/gredos.108952 | |
| dc.relation.references | Colwell, R. K., & Elsensohn, J. E. (2014). EstimateS turns 20: Statistical estimation of species richness and shared species from samples, with non-parametric extrapolation. Ecography, 37(6), 609-613. https://doi.org/10.1111/ecog.00814 | |
| dc.relation.references | Copernicus. (2015). S2 Mission. https://sentiwiki.copernicus.eu/web/s2-mission | |
| dc.relation.references | Corazón de la Amazonía. (2023, abril 26). Guía ambiental de pasos de fauna silvestre en infraestructura lineal—Patrimonio Natural. https://patrimonionatural.org.co/documento/guia-ambiental-de-pasos-de-fauna-silvestre-en-infraestructura-lineal/ | |
| dc.relation.references | Córdova-Tapia, F., & Zambrano, L. (2015). La diversidad funcional en la ecología de comunidades: Ecosistemas, 24(3), Article 3. https://doi.org/10.7818/ECOS.2015.24-3.10 | |
| dc.relation.references | Corrêa, M. S. (2021). Assessment of roadkill likelihood methods: The use of single occurences versus hotspots for different taxa. http://repositorio.ufla.br/jspui/handle/1/46864 | |
| dc.relation.references | Cortés-Mora, H. G. (2024). Guía ilustrada de fauna de la Universidad Nacional de Colombia, Sede Bogotá. Universidad Nacional de Colombia. Vicerrectoría de Sede. https://repositorio.unal.edu.co/handle/unal/87627 | |
| dc.relation.references | Craveiro, J., Bernardino, J., Mira, A., & Vaz, P. G. (2019). Impact of culvert flooding on carnivore crossings. Journal of Environmental Management, 231, 878-885. https://doi.org/10.1016/j.jenvman.2018.10.108 | |
| dc.relation.references | Cuartas-Calle, C. A., & Marín-Cardona, D. (2014). Guía Ilustrada Mamíferos Cañon del río Porce—Antioquia. | |
| dc.relation.references | Cuckovic, Z. (2016). Advanced viewshed analysis: A Quantum GIS plug-in for the analysis of visual landscapes. Journal of Open Source Software, 1(4), 32. https://doi.org/10.21105/joss.00032 | |
| dc.relation.references | Danby, R., Karch, M., Shearer, C., Schueler, F., & Smith, C. (2016). HIGHWAY 401 (GANANOQUE TO BROCKVILLE) SPECIES-AT-RISK ROAD ECOLOGY PROJECT 2014-2016. https://www.a2acollaborative.org/uploads/7/6/8/5/7685208/final_hwy_401_report.pdf | |
| dc.relation.references | Davenport, J., & Davenport, J. L. (2006). The Ecology of Transportation: Managing Mobility for the Environment | SpringerLink. https://link.springer.com/book/10.1007/1-4020-4504-2 | |
| dc.relation.references | Dean, W. R. J., Seymour, C. L., Joseph, G. S., & Foord, S. H. (2019). A Review of the Impacts of Roads on Wildlife in Semi-Arid Regions. Diversity, 11(5), Article 5. https://doi.org/10.3390/d11050081 | |
| dc.relation.references | Delgado-V., C. A. (2007). Http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0304-35842007000200007&lng=en&nrm=iso&tlng=es. Actualidades Biológicas, 29(87), 229-233. | |
| dc.relation.references | Denneboom, D., Bar-Massada, A., & Shwartz, A. (2024). Wildlife mortality risk posed by high and low traffic roads. Conservation Biology: The Journal of the Society for Conservation Biology, 38(2), e14159. https://doi.org/10.1111/cobi.14159 | |
| dc.relation.references | Díaz-Ricaurte, J. C., Serrano, F., & Ferreto Fiorillo, B. (2018). Catálogo de anfibios y reptiles de Colombia. En Clelia clelia (Vol. 4). https://www.acherpetologia.org/publicaciones/ | |
| dc.relation.references | DNP. (2023). Plan Maestro Transporte Intermodal PMTI. https://onl.dnp.gov.co/Paginas/Plan-Maestro-Transporte-Intermodal-PMTI.aspx | |
| dc.relation.references | Dutta, T., Sharma, S., McRae, B. H., Roy, P. S., & DeFries, R. (2016). Connecting the dots: Mapping habitat connectivity for tigers in central India. Regional Environmental Change, 16(1), 53-67. https://doi.org/10.1007/s10113-015-0877-z | |
| dc.relation.references | Epps, C. W., Ii, R. R. R., & Mccullough, D. R. (2005). Highways Block Gene Flow and Cause Rapid Decline in Genetic Diversity of Desert Bighorn Sheep. | |
| dc.relation.references | ESA. (s. f.). Mapeo de la cobertura terrestre a nivel mundial. Recuperado 3 de abril de 2025, de https://esa-worldcover.org/en | |
| dc.relation.references | ESA. (2015). Datos de la misión Sentinel-2 de Copernicus. https://dataspace.copernicus.eu/explore-data/data-collections/sentinel-data/sentinel-2 | |
| dc.relation.references | ESRI. (s. f.-a). Cómo funciona Análisis de puntos calientes (Gi* de Getis-Ord). Recuperado 5 de febrero de 2025, de https://pro.arcgis.com/es/pro-app/latest/tool-reference/spatial-statistics/h-how-hot-spot-analysis-getis-ord-gi-spatial-stati.htm | |
| dc.relation.references | ESRI. (s. f.-b). Integrar (Gestión de datos)—ArcGIS Pro | Documentación. Recuperado 9 de febrero de 2025, de https://pro.arcgis.com/en/pro-app/latest/tool-reference/data-management/integrate.htm | |
| dc.relation.references | ESRI. (s. f.-c). Recopilar eventos (estadísticas espaciales)—ArcGIS Pro | Documentación. Recuperado 9 de febrero de 2025, de https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/collect-events.htm | |
| dc.relation.references | ESRI. (2020). ArcGIS Desktop, ArcMap & ArcCatalog | Esri’s Legacy GIS Software. https://www.esri.com/en-us/arcgis/products/arcgis-desktop/overview | |
| dc.relation.references | Falcão, M. L., Marinho, P. H., & Venticinque, E. M. (2025). Variation in mammal ecological patterns in response to seasonality in a Brazilian tropical dry forest. Mammalia, 89(3), 239-250. https://doi.org/10.1515/mammalia-2024-0066 | |
| dc.relation.references | Faria-Corrêa, M., Balbueno, R. A., Vieira, E. M., & de Freitas, T. R. O. (2009). Activity, habitat use, density, and reproductive biology of the crab-eating fox (Cerdocyon thous) and comparison with the pampas fox (Lycalopex gymnocercus) in a Restinga area in the southern Brazilian Atlantic Forest. Mammalian Biology, 74(3), 220-229. https://doi.org/10.1016/j.mambio.2008.12.005 | |
| dc.relation.references | Filius, J., van der Hoek, Y., Jarrín-V, P., & van Hooft, P. (2020). Wildlife roadkill patterns in a fragmented landscape of the Western Amazon. Ecology and Evolution, 10(13), 6623-6635. https://doi.org/10.1002/ece3.6394 | |
| dc.relation.references | Ford, A. T., Clevenger, A. P., Huijser, M. P., & Dibb, A. (2011). Planning and prioritization strategies for phased highway mitigation using wildlife-vehicle collision data. Wildlife Biology, 17(3), 253-265. https://doi.org/10.2981/09-051 | |
| dc.relation.references | Forman, R. T. T., & Alexander, L. E. (1998a). Roads and Their Major Ecological Effects. Annual Review of Ecology and Systematics, 29(1), 207-231. https://doi.org/10.1146/annurev.ecolsys.29.1.207 | |
| dc.relation.references | Forman, R. T. T., & Alexander, L. E. (1998b). Roads and Their Major Ecological Effects. Annual Review of Ecology and Systematics, 29(1), 207-231. https://doi.org/10.1146/annurev.ecolsys.29.1.207 | |
| dc.relation.references | franzpc. (2021). Lista de índices espectrales en Sentinel 2 y Landsat. El blog de franz. https://acolita.com/lista-de-indices-espectrales-en-sentinel-2-y-landsat/ | |
| dc.relation.references | Galantinho, A., Santos, S., Eufrázio, S., Silva, C., Carvalho, F., Alpizar-Jara, R., & Mira, A. (2022). Effects of roads on small-mammal movements: Opportunities and risks of vegetation management on roadsides. Journal of Environmental Management, 316, 115272. https://doi.org/10.1016/j.jenvman.2022.115272 | |
| dc.relation.references | Gámez-Serna, C., & Ruichek, Y. (2017). Dynamic Speed Adaptation for Path Tracking Based on Curvature Information and Speed Limits. Sensors, 17(6), Article 6. https://doi.org/10.3390/s17061383 | |
| dc.relation.references | Gatti, A., Bianchi, R., Rosa, C. R. X., & Mendes, S. L. (2006). Diet of two sympatric carnivores, Cerdocyon thous and Procyon cancrivorus, in a restinga area of Espirito Santo State, Brazil. Journal of Tropical Ecology, 22(2), 227-230. https://doi.org/10.1017/S0266467405002956 | |
| dc.relation.references | Gobernación de Antioquia. (2024). Plan de desarrollo departamental de Antioquia. Figma. https://www.figma.com/proto/OE1Mn5lmQMXW76Ncmh94qx/Prototipo-mapa-interactivo?embed_host=share&kind=proto&node-id=1-2&page-id=0%3A1&scaling=contain&starting-point-node-id=1%3A2&t=l7Vpmw6hINmJFV6k-1&type=design&hotspot-hints=0&disable-default-keyboard-nav=1&hide-ui=1 | |
| dc.relation.references | Gobierno de Colombia. (2023). RUNAP. https://runap.parquesnacionales.gov.co/ | |
| dc.relation.references | Godet, C., Tarabón, S., Coskun, T., & Clauzel, C. (2023). Is there a spatial match between roadkill and mitigation measures identified by functional connectivity modeling?Journal for Nature Conservation, 76, 126491. https://doi.org/10.1016/j.jnc.2023.126491 | |
| dc.relation.references | Goldingay, R. L., & Taylor, B. D. (2017). Can field trials improve the design of road-crossing structures for gliding mammals? Ecological Research, 32(5), 743-749. https://doi.org/10.1007/s11284-017-1492-x | |
| dc.relation.references | Gómez, A. M., Adolfo, J., & Álvarez, E. (2005). Análisis de fragmentación de los ecosistemas en una región de la cordillera central de los andes colombianos. https://www.redalyc.org/pdf/750/75004702.pdf | |
| dc.relation.references | Gómez, C., & Buitrago-González, W. (2017). Catálogo de anfibios y reptiles de Colombia. En Bothriechis schlegelii (Vol. 3). https://www.acherpetologia.org/publicaciones/ | |
| dc.relation.references | Gómez-Hoyos, D. A., Caicedo-Ortiz, Y., & Mejía, M. R. T. (2015). Depredación de Marmosops sp. Por el Barranquero Andino Momotus aequatorialis en la Reserva Natural la Rosa de los Vientos, Quindío, Colombia. Mammalogy Notes, 2(1), Article 1. https://doi.org/10.47603/manovol2n1.22-23 | |
| dc.relation.references | González-Vélez, J. C. (2021). Predicción de puntos calientes de atropellamiento de fauna con base en algoritmos de inteligencia artificial, sistemas de información geográfica y procesamiento de imágenes multiespectrales. https://repositorio.itm.edu.co/handle/20.500.12622/4526 | |
| dc.relation.references | Google. (2025). Google Earth Pro. Google Earth. https://www.google.com/earth/ | |
| dc.relation.references | Google Earth Engine. (2015). A planetary-scale platform for Earth science data & analysis. https://earthengine.google.com | |
| dc.relation.references | Grafius, D. R., Corstanje, R., Siriwardena, G. M., Plummer, K., & Harris, J. (2017). A bird’s eye view: Using circuit theory to study urban landscape connectivity for birds | Landscape Ecology. Landscape Ecology, 32, 1771-1787. https://doi.org/10.1007/s10980-017-0548-1 | |
| dc.relation.references | Greeney, H. F., Jamieson, L. H., Dobbs, R. C., Martin, P. R., & Gelis, R. A. (2006). Observaciones sobre los huevos, y la historia natural del momoto de las Altas Momotus Aequatorialis en el este de Ecuador. Ornitología neotropical, 17(1). https://digitalcommons.usf.edu/ornitologia_neotropical/vol17/iss1/13 | |
| dc.relation.references | Grilo, C., Bissonette, J., & Cramer, P. (2010). Mitigation Measures to Reduce Impacts on Biodiversity. Highways: Construction, Management, and Maintenance, 73-114. | |
| dc.relation.references | Grilo, C., Borda-de-Água, L., Beja, P., Goolsby, E., Soanes, K., le Roux, A., Koroleva, E., Ferreira, F. Z., Gagné, S. A., Wang, Y., & González-Suárez, M. (2021). Conservation threats from roadkill in the global road network. Global Ecology and Biogeography, 30(11), 2200-2210. https://doi.org/10.1111/geb.13375 | |
| dc.relation.references | Grilo, C., Smith, D. J., & Klar, N. (2015). Carnivores. En Handbook of Road Ecology (pp. 300-312). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118568170.ch35 | |
| dc.relation.references | Gurcan, F., & Soylu, A. (2024). Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis. Cancers, 16(19), 3417. https://doi.org/10.3390/cancers16193417 | |
| dc.relation.references | Halsey, L. G., & White, C. R. (2017). A different angle: Comparative analyses of whole-animal transport costs when running uphill. Journal of Experimental Biology, 220(2), 161-166. https://doi.org/10.1242/jeb.142927 | |
| dc.relation.references | Hammer, O., Harper, D. A. T., & Ryan, P. D. (2001). PAST: Paleontological Statistics Software Package for Education and Data Analysis. http://palaeo-electronica.org/2001_1/past/past.pdf | |
| dc.relation.references | Hanophy, W. (2009). Fencing with Wildlife in Mind. Colorado Parks Wildlife. https://cpw.widencollective.com/assets/share/asset/vlrphdeji6 | |
| dc.relation.references | Hansen, M., Potapov, P., Moore, R., Hancher, M., Turubanova, S., Tyukavina, A., Thau, D., Stehman, S., Goetz, S., Townshend, J., Loveland, T., Kommareddy, A., Egorov, A., Chini, L., & JUSTICIA DE COLORADO. (2013). High-Resolution Global Maps of 21st-Century Forest Cover Change. 6160, 342. https://www.science.org/doi/10.1126/science.1244693 | |
| dc.relation.references | Hardy, A., Clevenger, A. P., Huijser, M., & Neale, G. (2003). An overview of methods and approaches for evaluating the effectiveness of wildlife crossing structures: Emphasizing the science in applied science. https://escholarship.org/uc/item/8gj3x1dc | |
| dc.relation.references | Håstad, O., & Ödeen, A. (2014). A vision physiological estimation of ultraviolet window marking visibility to birds. PeerJ, 2, e621. https://doi.org/10.7717/peerj.621 | |
| dc.relation.references | Hilty, S. L., & Brown, W. L. (2001). Guía de las aves de Colombia. https://asociacioncolombianadeornitologia.org/producto/guia-de-las-aves-de-colombia-hilty-brown-reimpresion-en-espanol/ | |
| dc.relation.references | Holguín Contreras, O. S. (2019). Patrones espaciales, temporales y apreciaciones sociales asociados al atropellamiento de hormigueros (Xenarthra: Vermilingua) en la vía Marginal de la Selva, Colombia. http://repository.javeriana.edu.co/handle/10554/44161 | |
| dc.relation.references | Humboldt. (2014, enero 26). La biodiversidad y los servicios ecosistémicos. http://www.humboldt.org.co/es/biodiversidad/que-es-la-biodiversidad | |
| dc.relation.references | IDEAM. (2023). Cambio en la superficie cubierta por bosque natural (Deforestación)—Nacional | Datos Abiertos Colombia. https://www.datos.gov.co/Ambiente-y-Desarrollo-Sostenible/Cambio-en-la-superficie-cubierta-por-bosque-natura/39dh-rc72/about_data | |
| dc.relation.references | IDEAM. (2025). Primera temporada de más lluvias en el país 2025 | Instituto de Hidrología, Meteorología y Estudios Ambientales. https://www.ideam.gov.co/sala-de-prensa/noticia/primera-temporada-de-mas-lluvias-en-el-pais-2025 | |
| dc.relation.references | IGAC. (2022a). Datos Abiertos Cartografía y Geografía | GEOPORTAL. https://geoportal.igac.gov.co/contenido/datos-abiertos-cartografia-y-geografia | |
| dc.relation.references | IGAC. (2022b). ELABORACIÓN DE CARTOGRAFÍA GEOMORFOLÓGICA DIGITAL EN 2D APLICADA A LEVANTAMIENTOS DE SUELOS. https://www.igac.gov.co/sites/default/files/listadomaestro/in-agr-pc02-03_elaboracion_de_cartografia_geomorfologica_0.pdf | |
| dc.relation.references | INVIAS. (2008). Manual de diseño geométrico. https://www.invias.gov.co/index.php/archivo-y-documentos/documentos-tecnicos/especificaciones-tecnicas/985-manual-de-diseno-geometrico | |
| dc.relation.references | INVIAS. (2009). Manual de drenaje para carreteras. https://www.invias.gov.co/index.php/archivo-y-documentos/documentos-tecnicos/especificaciones-tecnicas/984-manual-de-drenaje-para-carreteras/file | |
| dc.relation.references | INVIAS. (2022). Especificaciones generales de construcción de carreteras. https://www.invias.gov.co/index.php/archivo-y-documentos/documentos-tecnicos/14480-especificaciones-generales-de-construccion-de-carreteras-2022-1 | |
| dc.relation.references | IUCN. (2024). The IUCN Red List of Threatened Species. IUCN Red List of Threatened Species. https://www.iucnredlist.org/en | |
| dc.relation.references | Jaramillo-Fayad, J. C., Velázquez, M. M., Premauer, J. M., González, J. L., & González Vélez, J. C. (2021). Guía para entender y diagnosticar el impacto del atropellamiento de fauna silvestre en Colombia. https://www.mintransporte.gov.co/publicaciones/10217/gobierno-nacional-lanza-guia-para-entender-y-diagnosticar-el-impacto-del-atropellamiento-de-fauna-silvestre-en-colombia/ | |
| dc.relation.references | Johnson, D. H., & O’Neil, T. (2018). Wildlife Habitat Relationships in Oregon and Washington. | |
| dc.relation.references | Karlson, M., Mörtberg, U., & Balfors, B. (2014). Road ecology in environmental impact assessment. Environmental Impact Assessment Review, 48, 10-19. https://doi.org/10.1016/j.eiar.2014.04.002 | |
| dc.relation.references | Kent, E., Schwartz, A. L. W., & Perkins, S. E. (2021). Life in the fast lane: Roadkill risk along an urban–rural gradient. Journal of Urban Ecology, 7(1), juaa039. https://doi.org/10.1093/jue/juaa039 | |
| dc.relation.references | Khan, A. A., Chaudhari, O., & Chandra, R. (2023). A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation (No. arXiv:2304.02858). arXiv. https://doi.org/10.48550/arXiv.2304.02858 | |
| dc.relation.references | Krisp, J. M., & Durot, S. (2007). Segmentación de líneas en función de la densidad de puntos: Una optimización de la colocación de señales de advertencia sobre la fauna silvestre en el sur de Finlandia—ScienceDirect. 39(1), 38-46. https://doi.org/10.1016/j.aap.2006.06.002 | |
| dc.relation.references | Kučas, A., & Balčiauskas, L. (2021). Roadkill-Data-Based Identification and Ranking of Mammal Habitats. Land, 10(5), Article 5. https://doi.org/10.3390/land10050477 | |
| dc.relation.references | Laidlaw, K., Broadbent, E., Eby, S., Laidlaw, K., Broadbent, E., & Eby, S. (2021). Effectiveness of aerial wildlife crossings: Do wildlife use rope bridges more than hazardous structures to cross roads? Revista de Biología Tropical, 69(3), 1138-1148. https://doi.org/10.15517/rbt.v69i3.47098 | |
| dc.relation.references | Laliberté, E., & Legendre, P. (2010). A distance-based framework for measuring functional diversity from multiple traits. Ecology, 91(1), 299-305. https://doi.org/10.1890/08-2244.1 | |
| dc.relation.references | Laliberté, E., Legendre, P., & Shipley, B. (2014). FD: Measuring Functional Diversity (FD) from Multiple Traits, and Other Tools for Functional Ecology [Software]. https://cran.r-project.org/web/packages/FD/index.html | |
| dc.relation.references | Laube, P., Ratnaweera, N., Wróbel, A., Kaelin, I., Stephani, A., Reifler-Baechtiger, M., Graf, R. F., & Suter, S. (2023). Analysing and predicting wildlife–vehicle collision hotspots for the Swiss road network. Landscape Ecology, 38(7), 1765-1783. https://doi.org/10.1007/s10980-023-01655-5 | |
| dc.relation.references | León, L., & Felipe, J. (2024). Efecto de la cobertura vegetal sobre la selección de sitios de anidación de aves en un sistema agroforestal de Manizales, Colombia. https://repositorio.ucaldas.edu.co/handle/ucaldas/19798 | |
| dc.relation.references | Lin, S. C. (2016). Landscape and traffic factors affecting animal road mortality. Journal of Environmental Engineering and Landscape Management, 24(1), Article 1. https://doi.org/10.3846/16486897.2015.1098652 | |
| dc.relation.references | Linero-Triana, D., Correa-Ayram, C. A., & Velásquez-Tibatá, J. (2023). Prioritizing ecological connectivity among protected areas in Colombia using a functional approach for birds. Global Ecology and Conservation, 48, e02713. https://doi.org/10.1016/j.gecco.2023.e02713 | |
| dc.relation.references | López, S., Arias Alzate, A., & Delgado Vélez, C. A. (2022). Patrón de actividad del Zorro Perro Cerdocyon thous (Carnivora: Canidae) y su interacción con humanos y perros domésticos en reservas periurbanas al norte de los Andes colombianos. https://hdl.handle.net/10946/7180 | |
| dc.relation.references | López-Ramirez, L., Lucas, P., Aguiaro Pereira, T. de A., & Ruiz-Miranda, C. R. (2024). Perception of predation risk by tamarins and marmosets crossing bridges over a pipeline right-of-way strip in the Atlantic forest of Brazil. Frontiers in Conservation Science, 5. https://doi.org/10.3389/fcosc.2024.1473312 | |
| dc.relation.references | Lozano, J. A., & Patiño-Siro, D. (2020). Does the geometrical design of roads influence wildlife roadkills? Evidence from a highway in central andes of Columbia. European Journal of Ecology, 6(1), Article 1. https://doi.org/10.17161/eurojecol.v6i1.13688 | |
| dc.relation.references | Magurran, A. E. (2004). Measuring Biological Diversity -. Blackwell Science. https://books.google.es/books?hl=es&lr=&id=fIjsaxmL_S8C&oi=fnd&pg=PR7&dq=measuring+biological+diversity+magurran&ots=aBZqJ24-B8&sig=8KwPiRQmRxzGVsDZjQXZYbeQDDk#v=onepage&q=measuring%20biological%20diversity%20magurran&f=false | |
| dc.relation.references | Majka, D., Jenness, J., & Beier, P. (2007). Conceptual steps for designing wildlife corridors. https://corridordesign.org/downloads | |
| dc.relation.references | Marineros-Sánchez, L. E., Portillo Reyes, H. O., Vega, H., & Hernández, J. (2018). REGISTROS Y DISTRIBUCIÓN POTENCIAL DEL PUERCOESPÍN (Coendou mexicanus), (RODENTIA: ERETHIZONTIDAE) EN HONDURAS. Revista Mexicana de Mastozoología, 8(2), 93-102. | |
| dc.relation.references | Martins, T., Freitas, S. R., Semensatto Junior, D. L., & Hardt, E. (2023). The influence of proximity with riparian forests and the distance from urban areas on roadkills of vertebrates in a fragmented Brazilian savanna area. Austral Ecology, n/a(n/a). https://doi.org/10.1111/aec.13342 | |
| dc.relation.references | McDonald, J. H. (2014). Handbook of biological statistics. https://www.biostathandbook.com/ | |
| dc.relation.references | McMullan, M. (2021). Guía de campo de las Aves de Colombia. Asociación Colombiana de Ornitología. https://asociacioncolombianadeornitologia.org/producto/guia-de-campo-de-las-aves-de-colombia-2021-miles-mcmullan/ | |
| dc.relation.references | McRae, B., & Kavanagh, D. (2011). Software de análisis de conectividad Linkage Mapper. [Software]. The Nature Conservancy. https://linkagescape.org/ | |
| dc.relation.references | Meijer, J. R., Huijbregts, M. A. J., Schotten, K. C. G. J., & Schipper, A. M. (2018). Global patterns of current and future road infrastructure. Environmental Research Letters, 13(6), 064006. https://doi.org/10.1088/1748-9326/aabd42 | |
| dc.relation.references | Meza-Joya, F., Ramos Pallares, E., & Cardona, D. (2019). Spatio-temporal patterns of mammal road mortality in Middle Magdalena Valley, Colombia. Oecologia Australis, 23, 575-588. https://doi.org/10.4257/oeco.2019.2303.15 | |
| dc.relation.references | MinAmbiente. (2024). Resolución 0126 de 2024 -. https://www.minambiente.gov.co/documento-normativa/resolucion-0126-de-2024/ | |
| dc.relation.references | Minato, S., Otake, K., Iwamoto, K., Aiba, H., Sonoda, Y., Oda, S., Komatsu, H., Iwabuchi, M., Sato, Y., Sechibaru, J., Yoshida, M., Okuda, A., Yamamoto, O., Iwamoto, S., Kobayashi, Y., Fujiyama, K., Kinoshita, T., Iijima, S., Kagawa, H., … Morris, P. (2022). Mitigating the effects of road construction on arboreal Japanese mammals: Benefits for both wildlife and people. https://doi.org/10.1163/14219980-20211111 | |
| dc.relation.references | Mitchell, B., Harrison, L., Ainley, J., van der Ree, R., & Soanes, K. (2022). Mitigating the effect of linear infrastructure on arboreal mammals in dense forest: A canopy bridge trial. Ecological Management & Restoration, 23(3), 228-236. https://doi.org/10.1111/emr.12568 | |
| dc.relation.references | MITECO. (2010). Prescripciones técnicas para la reducción de la fragmentación de hábitats en las fases de planificación y trazado.https://www.miteco.gob.es/content/dam/miteco/es/biodiversidad/temas/ecosistemas-y-conectividad/planificacion_trazado_tcm30-195794.pdf | |
| dc.relation.references | MITECO. (2016). Prescripciones técnicas para el diseño de pasos de fauna y vallados perimetrales. https://www.miteco.gob.es/es/biodiversidad/temas/ecosistemas-y-conectividad/fragmentacion/fragm-publicaciones/fragm-publ-transp-1.html | |
| dc.relation.references | Mitrus, C., & Zbyryt, A. (2018). Reducing avian mortality from noise barrier collisions along an urban roadway. Urban Ecosystems, 21(2), 351-356. https://doi.org/10.1007/s11252-017-0717-7 | |
| dc.relation.references | Moffat, D., White, I., Béga, S., & Aburrow, K. (2022). Structural re-design of the Animex Wildlife Bridge for the Hazel Dormouse (Muscardinus avellanarius): Lessons learnt from two connectivity mitigation case studies in the UK. https://doi.org/10.1163/14219980-20211107 | |
| dc.relation.references | Moreno-Ortega, C. E. (2019). Biodiversidad en un mundo cambiante: Universidad Autónoma del Estado de Hidalgo. https://ulibros.com/biodiversidad-en-un-mundo-cambiante-kbejw.html | |
| dc.relation.references | Narváez-Rivera, G. M., & Lindshield, S. M. (2022). Assessing the importance of artificial canopy bridge design for Costa Rican monkeys in an experimental setting. https://doi.org/10.1163/14219980-20211104 | |
| dc.relation.references | NASA. (s. f.). ALOS PALSAR – Radiometric Terrain Correction. Alaska Satellite Facility. Recuperado 16 de abril de 2025, de https://asf.alaska.edu/datasets/daac/alos-palsar-radiometric-terrain-correction/ | |
| dc.relation.references | Navarro-Salcedo, P., Navarro-Morales, A., & Vargas-Salinas, F. (2020). Catálogo de anfibios y reptiles de Colombia. En Rhinella Marina (Vol. 6). https://www.acherpetologia.org/publicaciones/ | |
| dc.relation.references | Obando-Tobón, J. M., Delgado-V, C. A., Urrego-Giraldo, L. E., Saravia-Ruiz, P., Tapias-M, J., & Arias-Alzate, A. (2024). Influencia del comportamiento y hábitat en el atropellamiento de fauna silvestre: El caso de los vertebrados de vías periurbanas en los Andes colombianos. Revista de Biología Tropical, 72(1), Article 1. https://doi.org/10.15517/rev.biol.trop..v72i1.56433 | |
| dc.relation.references | Ödeen, A., & Håstad, O. (2013). The phylogenetic distribution of ultraviolet sensitivity in birds. BMC Evolutionary Biology, 13(1), 36. https://doi.org/10.1186/1471-2148-13-36 | |
| dc.relation.references | Olsson, M. (2009). Mittbarriärer – en kunskapsöversikt. | |
| dc.relation.references | Ord, J. K., & Getis, A. (1995). Local Spatial Autocorrelation Statistics: Distributional Issues and an Application. Geographical Analysis, 27(4), 286-306. https://doi.org/10.1111/j.1538-4632.1995.tb00912.x | |
| dc.relation.references | Otero, B. F., Herranz, J., & Malo, J. E. (2023). Bird flight behavior, collision risk and mitigation options at high-speed railway viaducts. Science of The Total Environment, 902, 166253. https://doi.org/10.1016/j.scitotenv.2023.166253 | |
| dc.relation.references | Pagany, R. (2020). Wildlife-vehicle collisions—Influencing factors, data collection and research methods. Biological Conservation, 251, 108758. https://doi.org/10.1016/j.biocon.2020.108758 | |
| dc.relation.references | Palacio, J. A., Muñoz Escobar, E. M., Gallo Delgado, S. M., & Rivera-Correa, M. (2006). Guía de Campo: Anfibios y Reptiles del Valle de Aburra, Colombia (1.a ed.). | |
| dc.relation.references | Parques Nacionales Naturales de Colombia. (2025). RUNAP en cifras. https://runap.parquesnacionales.gov.co/cifras | |
| dc.relation.references | Peña R, M., & Quirama, Z. T. (2014). Guia Ilustrada canon del rio Porce Antioquia Aves. https://www.academia.edu/28106799/Guia_Ilustrada_canon_del_rio_Porce_Antioquia_Aves | |
| dc.relation.references | Perez-Guerra, J., Gonzalez-Velez, J., Murillo-Escobar, J., & Jaramillo-Fayad, J. C. (2024). Prediction of areas with high risk of roadkill wildlife applying maximum entropy approach and environmental features: East Antioquia, Colombia. Landscape and Ecological Engineering, 20(1), 75-88. https://doi.org/10.1007/s11355-023-00581-7 | |
| dc.relation.references | Pielou, E. C. (1966). The measurement of diversity in different types of biological collections. Journal of Theoretical Biology, 13, 131-144. https://doi.org/10.1016/0022-5193(66)90013-0 | |
| dc.relation.references | Pinto, F. A. S., Clevenger, A. P., & Grilo, C. (2020). Effects of roads on terrestrial vertebrate species in Latin America. Environmental Impact Assessment Review, 81, 106337. https://doi.org/10.1016/j.eiar.2019.106337 | |
| dc.relation.references | Pla, L. (2006). Biodiversidad: Inferencia basada en el índice de Shannon y la riqueza. Interciencia, 31(8), 583-590. | |
| dc.relation.references | Plante, J., Jaeger, J. A. G., & Desrochers, A. (2019). How do landscape context and fences influence roadkill locations of small and medium-sized mammals? Journal of Environmental Management, 235, 511-520. https://doi.org/10.1016/j.jenvman.2018.10.093 | |
| dc.relation.references | Potapov, P., Li, X., Hernandez-Serna, A., Tyukavina, A., Hansen, M. C., Kommareddy, A., Pickens, A., Turubanova, S., Tang, H., Silva, C. E., Armston, J., Dubayah, R., Blair, J. B., & Hofton, M. (2021). Mapping global forest canopy height through integration of GEDI and Landsat data. Remote Sensing of Environment, 253, 112165. https://doi.org/10.1016/j.rse.2020.112165 | |
| dc.relation.references | Rahman, R., Matlock, K., Ghosh, S., & Pal, R. (2017). Heterogeneity Aware Random Forest for Drug Sensitivity Prediction. Scientific Reports, 7(1), 11347. https://doi.org/10.1038/s41598-017-11665-4 | |
| dc.relation.references | RECOSFA. (s. f.). Datos Recosfa – Recosfa. Recuperado 4 de junio de 2025, de https://recosfa.com/datos-recosfa/ | |
| dc.relation.references | Richiardi, C., Siniscalco, C., & Adamo, M. (2023). Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps). Remote Sensing, 15(2), Article 2. https://doi.org/10.3390/rs15020343 | |
| dc.relation.references | Rios-Soto, J. A., Zanabria-Gil, P. A., Cortes-Díaz, D., Osorio-Marín, K. F., Cubillos-Vargas, I. C., & Montilla, S. O. (2021). Nuevos registros del puercoespín colicorto (Coendou rufescens: Erethizontidae) en los municipios de Calarcá, Filandia y Quimbaya en el departamento del Quindío. Mammalogy Notes, 7(1), Article 1. https://doi.org/10.47603/mano.v7n1.208 | |
| dc.relation.references | Ripley. (2004). Spatial Statistics | Wiley. Wiley.Com. https://www.wiley.com/en-us/Spatial+Statistics-p-9780471691167 | |
| dc.relation.references | Rivera, J. H. V. (2003). Identificación del hábitat de ocho especies de aves tropicales mediante análisis de regresión, en los Tuxtlas, Veracruz, México. Anales del Instituto de Biología serie Zoología, 74(002), Article 002. https://revistas.unam.mx/index.php/zoo/article/view/7287 | |
| dc.relation.references | Rocha, V. J., Reis, N. R. dos, & Sekiama, M. L. (2004). Dieta e dispersão de sementes por Cerdocyon thous (Linnaeus) (Carnívora, Canidae), em um fragmento florestal no Paraná, Brasil. Revista Brasileira de Zoologia, 21, 871-876. https://doi.org/10.1590/S0101-81752004000400022 | |
| dc.relation.references | Rojano Bolaño, C., Ávila Avilán, R., Rojano Bolaño, C., & Ávila Avilán, R. (2021). Mortalidad de vertebrados silvestres por atropellamiento en el departamento de Casanare, Colombia. Revista de Medicina Veterinaria, 42, 27-40. https://doi.org/10.19052/mv.vol1.iss42.4 | |
| dc.relation.references | Romano, B., Ciabò, S., & Fabrizio, M. F. (2008). INFRASTRUCTURE OBSTRUCTION PROFILING: A METHOD TO ANALYSE ECOLOGICAL BARRIERS FORMED BY TRANSPORT INFRASTRUCTURE. ResearchGate. X Congresso Nazionale SIEP-IALE. Ecologia e Governance del Paesaggio. Esperienze e prospettive. https://www.researchgate.net/publication/251880721_INFRASTRUCTURE_OBSTRUCTION_PROFILING_A_METHOD_TO_ANALYSE_ECOLOGICAL_BARRIERS_FORMED_BY_TRANSPORT_INFRASTRUCTURE | |
| dc.relation.references | Sánchez, J. D. (2017). Diversidad y uso de hábitat de carnívoros (Carnivora) en un paisaje periurbano en la cordillera central de Colombia. https://repositorio.unal.edu.co/handle/unal/69409 | |
| dc.relation.references | Santos, R. A. L., Santos, S. M., Santos-Reis, M., Figueiredo, A. P. de, Bager, A., Aguiar, L. M. S., & Ascensão, F. (2016). Carcass Persistence and Detectability: Reducing the Uncertainty Surrounding Wildlife-Vehicle Collision Surveys. PLOS ONE, 11(11), e0165608. https://doi.org/10.1371/journal.pone.0165608 | |
| dc.relation.references | Santos, S. M., Carvalho, F., & Mira, A. (2011). How Long Do the Dead Survive on the Road? Carcass Persistence Probability and Implications for Road-Kill Monitoring Surveys. PLOS ONE, 6(9), e25383. https://doi.org/10.1371/journal.pone.0025383 | |
| dc.relation.references | Santos, S. M., Carvalho, F., & Mira, A. (2017). Current Knowledge on Wildlife Mortality in Railways. En L. Borda-de-Água, R. Barrientos, P. Beja, & H. M. Pereira (Eds.), Railway Ecology (pp. 11-22). Springer International Publishing. https://doi.org/10.1007/978-3-319-57496-7_2 | |
| dc.relation.references | Seo, C., Thorne, J. H., Choi, T., Kwon, H., & Park, C.-H. (2015). Disentangling roadkill: The influence of landscape and season on cumulative vertebrate mortality in South Korea. Landscape and Ecological Engineering, 11(1), 87-99. https://doi.org/10.1007/s11355-013-0239-2 | |
| dc.relation.references | Shirk, A., McRae, B., & Platt, J. (2013). Gnarly Landscape Utilities: Guía del usuario de Core Mapper. Circuitscape. https://circuitscape.org/gnarly-landscape-utilities/ | |
| dc.relation.references | Silverman, B. W. (1988). Density Estimation for Statistics and Data Analysis. Biometrical Journal, 30(7), 876-877. https://doi.org/10.1002/bimj.4710300745 | |
| dc.relation.references | Stewart, L., Russell, B., Zelig, E., Patel, G., & Whitney, K. S. (2020). Wildlife Crossing Design Influences Effectiveness for Small and Large Mammals in Banff National Park. Case Studies in the Environment, 4(1), 1231752. https://doi.org/10.1525/cse.2020.1231752 | |
| dc.relation.references | Suárez, A. M., & Alzate-Basto, E. (2014). Guía Ilustrada Anfibios y reptiles Cañón del río Porce—Antioquia. | |
| dc.relation.references | Taylor, P. D., Fahrig, L., Henein, K., & Merriam, G. (1993). Connectivity Is a Vital Element of Landscape Structure. Oikos, 68(3), 571-573. https://doi.org/10.2307/3544927 | |
| dc.relation.references | Teixeira, F. Z., Coelho, A. P., Beraldi, I., & Kindel, A. (2013). Vertebrate road mortality estimates: Effects of sampling methods and carcass removal. Biological Conservation, 157, 317-323. https://doi.org/10.1016/j.biocon.2012.09.006 | |
| dc.relation.references | Teixeira, F. Z., Kindel, A., Hartz, S. M., Mitchell, S., & Fahrig, L. (2017). When road-kill hotspots do not indicate the best sites for road-kill mitigation. Journal of Applied Ecology, 54(5), 1544-1551. https://doi.org/10.1111/1365-2664.12870 | |
| dc.relation.references | Teixeira, F. Z., Printes, R. C., Fagundes, J. C. G., Alonso, A. C., & Kindel, A. (2013). Canopy bridges as road overpasses for wildlife in urban fragmented landscapes. Biota Neotropica, 13, 117-123. https://doi.org/10.1590/S1676-06032013000100013 | |
| dc.relation.references | Tenorio, J. C. S., Cruz, G. A. dos S., Silveira-Filho, V. da M., Alexandre, F. da S., Gripp, T. da M., Araújo, B. G. de, Lyra-Neves, R. M. de, & Junior, W. R. T. (2023). Effects of the Highway Matrix on the Roadkill Patterns of the Crab-Eating Fox, Cerdocyon Thous (Linnaeus, 1766), in Northeastern Brazil. Research Square. https://doi.org/10.21203/rs.3.rs-3238038/v1 | |
| dc.relation.references | Théry, M. (2001). Forest light and its influence on habitat selection. En K. E. Linsenmair, A. J. Davis, B. Fiala, & M. R. Speight (Eds.), Tropical Forest Canopies: Ecology and Management: Proceedings of ESF Conference, Oxford University, 12–16 December 1998 (pp. 251-261). Springer Netherlands. https://doi.org/10.1007/978-94-017-3606-0_20 | |
| dc.relation.references | United Nations. (2015). Objetivos y metas de desarrollo sostenible. Desarrollo Sostenible. https://www.un.org/sustainabledevelopment/es/objetivos-de-desarrollo-sostenible/ | |
| dc.relation.references | UPRA. (2025). Identificación general de la frontera agrícola en Colombia, a escala 1:100.00. https://catalogometadatos.upra.gov.co/uprageonet/srv/spa/catalog.search#/metadata/3b5b2eb3-274c-43a2-969c-11c66482a4cf | |
| dc.relation.references | van der Grift, E. A., van der Ree, R., & Jaeger, J. A. G. (2015). Guidelines for Evaluating the Effectiveness of Road Mitigation Measures. En Handbook of Road Ecology (pp. 129-137). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118568170.ch16 | |
| dc.relation.references | van der Ree, R., Smith, D. J., & Grilo, C. (2015a). Handbook of Road Ecology. https://onlinelibrary.wiley.com/doi/book/10.1002/9781118568170 | |
| dc.relation.references | van der Ree, R., Smith, D. J., & Grilo, C. (2015b). The Ecological Effects of Linear Infrastructure and Traffic. En Handbook of Road Ecology (pp. 1-9). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118568170.ch1 | |
| dc.relation.references | Vásquez, J. D., Toro, F. A., Alzate, E., & Rocha, L. (2019). Guía de serpientes del Valle de Aburrá. https://unilibros.co/gpd-guia-de-serpientes-del-valle-de-aburra-9789588674759.html | |
| dc.relation.references | Vicente, M. G. S., & Valencia, P. J. L. (2008). Ecología del Paisaje. Un marco para el estudio integrado de la dinámica territorial y su incidencia en la vida silvestre. Estudios Geográficos, 69(265), Article 265. https://doi.org/10.3989/estgeogr.0427 | |
| dc.relation.references | Vichicela Albán, A. B. (2019). Caracterización Ornitológica, en estribaciones de la Cordillera Occidental de los Andes en los Bosques Montano, Montano Bajo y Piemontano, Sector La Esperanza y Recinto Los Laureles, parroquia El Tingo, Cotopaxi 2019. http://repositorio.utc.edu.ec/handle/27000/6076 | |
| dc.relation.references | Wang, J., Yu, H., Hua, Q., Jing, S., Liu, Z., Peng, X., Cao, C., & Luo, Y. (2020). A descriptive study of random forest algorithm for predicting COVID-19 patients outcome. PeerJ, 8, e9945. https://doi.org/10.7717/peerj.9945 | |
| dc.relation.references | Węglarczyk, S. (2018). Kernel density estimation and its application. ITM Web of Conferences, 23, 00037. https://doi.org/10.1051/itmconf/20182300037 | |
| dc.relation.references | Wilman, H., Belmaker, J., Simpson, J., de la Rosa, C., Rivadeneira, M. M., & Jetz, W. (2014). EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology, 95(7), 2027-2027. https://doi.org/10.1890/13-1917.1 | |
| dc.relation.references | Xu, Y., Si, Y., Wang, Y., Zhang, Y., Prins, H. H. T., Cao, L., & de Boer, W. F. (2019). Loss of functional connectivity in migration networks induces population decline in migratory birds. Ecological Applications, 29(7), e01960. https://doi.org/10.1002/eap.1960 | |
| dc.relation.references | Yap, J. L., Rosely, N. F. N., Mahadzir, M., Benedict, M. L., Muniandy, V., & Ruppert, N. (2022). “Ah Lai’s Crossing” – Malaysia’s first artificial road canopy bridge to facilitate safer arboreal wildlife crossings. https://doi.org/10.1163/14219980-20211105 | |
| dc.relation.references | Zhang, X., Shen, H., Huang, T., Wu, Y., Guo, B., Liu, Z., Luo, H., Tang, J., Zhou, H., Wang, L., Xu, W., & Ou, G. (2024). Improved random forest algorithms for increasing the accuracy of forest aboveground biomass estimation using Sentinel-2 imagery. Ecological Indicators, 159, 111752. https://doi.org/10.1016/j.ecolind.2024.111752 | |
| dc.relation.references | Zyśk-Gorczyńska, E., & Żmihorski, M. (2022). Ultraviolet film reduces bird–glass collision risk. Ornis Fennica, 99(2–3), Article 2–3. https://doi.org/10.51812/of.115995 | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | |
| dc.rights.creativecommons | Attribution-NonCommercial-NoDerivatives 4.0 International | |
| dc.rights.license | Atribución-NoComercial 4.0 Internacional (CC BY-NC 4.0) | |
| dc.rights.local | Acceso abierto | spa |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject.ddc | 590 - Animales::591 - Temas específicos en historia natural de los animales | |
| dc.subject.ocde | 1. Ciencias Naturales::1E. Ciencias de la tierra y medioambientales::1E08. Ciencias del medio ambiente (aspectos sociales en 5.G) | |
| dc.subject.ods | ODS 9: Industria, innovación e infraestructura. Construir infraestructuras resilientes, promover la industrialización inclusiva y sostenible y fomentar la innovación | |
| dc.subject.ods | ODS 15: Vida de ecosistemas terrestres. Proteger, restablecer y promover el uso sostenible de los ecosistemas terrestres, gestionar sosteniblemente los bosques, luchar contra la desertificación, detener e invertir la degradación de las tierras y detener la pérdida de biodiversidad | |
| dc.subject.other | Fauna de Antioquia | |
| dc.subject.other | Protección de los animales | |
| dc.subject.other | Corredores de fauna | |
| dc.subject.other | Conservación de la Fauna y la Flora | |
| dc.subject.other | Ecología de carreteras | |
| dc.subject.proposal | Atropellamiento de fauna | spa |
| dc.subject.proposal | Análisis geoespacial | spa |
| dc.subject.proposal | Prevención | spa |
| dc.subject.proposal | Mitigación | spa |
| dc.subject.proposal | Wildlife roadkill | eng |
| dc.subject.proposal | Geospatial analysis | eng |
| dc.subject.proposal | Prevention | eng |
| dc.subject.proposal | Mitigation | eng |
| dc.title | Análisis geoespacial de las zonas de acumulación de atropellamiento de fauna silvestre para la formulación de estrategias de prevención y mitigación al impacto en la Concesión Túnel Aburrá Oriente – Colombia | spa |
| dc.type | Trabajo de grado - Maestría | |
| dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | |
| dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| dc.type.content | Text | |
| dc.type.driver | info:eu-repo/semantics/masterThesis | |
| dc.type.redcol | http://purl.org/redcol/resource_type/TM | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication |
Archivos
Bloque original
1 - 4 de 4
Cargando...
- Nombre:
- Carta de autorización
- Tamaño:
- 252.52 KB
- Formato:
- Adobe Portable Document Format
Cargando...
- Nombre:
- 1. ACTA Y LISTADO DANNA PAOLA MOSCOSO PERDOMO.pdf
- Tamaño:
- 1.54 MB
- Formato:
- Adobe Portable Document Format
Cargando...
- Nombre:
- Rsta CF Aval registro en SIA de trabajos de grado MDS.pdf
- Tamaño:
- 397.73 KB
- Formato:
- Adobe Portable Document Format
Bloque de licencias
1 - 1 de 1
Cargando...
- Nombre:
- license.txt
- Tamaño:
- 1.37 KB
- Formato:
- Item-specific license agreed upon to submission
- Descripción: