Evaluación de la influencia de la cobertura boscosa en la regulación hídrica de la cuenca abastecedora del sistema Chingaza
| dc.contributor.advisor | Boada Rodriguez, Alberto | |
| dc.contributor.advisor | Parra Vera, Danilo Alberto | |
| dc.contributor.author | Fuquene Garcia, Danna Lorena | |
| dc.contributor.author | Angie Natalia, Casallas Chavez | |
| dc.contributor.orcid | Parra Vera, Danilo Alberto [0000-0001-6836-0190] | |
| dc.creator.email | dannafuquene@gmail.com | |
| dc.creator.id | 20252094008 | |
| dc.creator.id | 2025209400 | |
| dc.date.accessioned | 2026-07-08T03:06:43Z | |
| dc.date.available | 2026-07-08T03:06:43Z | |
| dc.date.created | 2026-06-04 | |
| dc.description | Este estudio evaluó la influencia espacio temporal de la cobertura boscosa en la regulación hídrica de la cuenca abastecedora del Sistema Chingaza durante el periodo 2016-2025. La investigación aborda la caracterización espacial que vincula la dinámica forestal con las variaciones de caudales en este ecosistema estratégico. Utilizando teledetección en Google Earth Engine y datos de Landsat 8, se compararon los algoritmos Random Forest y Máquinas de Vector de Soporte, seleccionando RandomForest por sus métricas de clasificación en la exactitud global de 95.8% en 2016 y 94.3% en 2025. Los resultados del análisis algebraico multitemporal determinaron que, en un área de 246.45 km², los procesos de regeneración vegetal superaron a la deforestación, consolidando una ganancia neta de 17.76 km² de bosque altoandino. Posteriormente, se implementó el modelo InVEST Seasonal Water Yield, calibrado de forma parsimoniosa con series hidroclimáticas de 1990-2025, logrando un buen desempeño con un NSE igual a 0.77 en validación. La simulación de escenarios demostró que la conservación forestal incrementa el Índice de Flujo Base hasta un 7.7% en estiaje y reduce el flujo rápido en un 17.5%. Como principal conclusión, se evidenció una recuperación del bosque altoandino optimiza la regulación estacional al amortiguar caudales, pero reduce ligeramente el rendimiento hídrico total anual debido al aumento de la evapotranspiración, lo que implica que la gestión del territorio debe preservar un mosaico equilibrado con las coberturas de páramo. | |
| dc.description.abstract | This study evaluated the spatiotemporal influence of forest cover on the hydrological regulation of the Chingaza Water Supply Basin during the 2016–2025 period. The research focused on the spatial characterization linking forest dynamics to streamflow variations within this strategic ecosystem. Using remote sensing in Google Earth Engine and Landsat 8 imagery, the Random Forest and Support Vector Machine (SVM) algorithms were compared, with Random Forest being selected based on its superior classification performance, achieving overall accuracies of 95.8% in 2016 and 94.3% in 2025. Multitemporal algebraic analysis revealed that, across an area of 246.45 km², vegetation regeneration exceeded deforestation, resulting in a net gain of 17.76 km² of High Andean forest. Subsequently, the InVEST Seasonal Water Yield model was implemented and parsimoniously calibrated using hydroclimatic time series from 1990 to 2025, achieving good performance with a Nash–Sutcliffe Efficiency (NSE) of 0.77 during validation. Scenario simulations demonstrated that forest conservation increased the Baseflow Index by up to 7.7% during the dry season while reducing quickflow by 17.5%. The main conclusion was that the recovery of High Andean forest enhances seasonal hydrological regulation by attenuating streamflow fluctuations, although it slightly reduces the total annual water yield due to increased evapotranspiration. These findings suggest that land management should preserve a balanced mosaic of High Andean forest and páramo ecosystems. | |
| dc.format.mimetype | ||
| dc.identifier.uri | http://hdl.handle.net/11349/101982 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Distrital Francisco José de Caldas | |
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| dc.rights.acceso | Abierto (Texto Completo) | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Sistemas de Información Geográfica | |
| dc.subject | Teledetección | |
| dc.subject | Regulación Hídrica | |
| dc.subject | Bosque Altoandino | |
| dc.subject | Páramos | |
| dc.subject | Modelación Hidrológica | |
| dc.subject | Ventaja del Ecosistema | |
| dc.subject.keyword | Geographic Information Systems (GIS) | |
| dc.subject.keyword | Remote Sensing | |
| dc.subject.keyword | Hydrological Regulation | |
| dc.subject.keyword | High Andean Forest | |
| dc.subject.keyword | Páramo Ecosystems | |
| dc.subject.keyword | Hydrological Modeling | |
| dc.subject.keyword | Ecosystem Services | |
| dc.subject.lemb | Especialización en Sistemas de Información Geográfica -- Tesis y disertaciones académicas | |
| dc.subject.lemb | Sistemas de información geográfica | |
| dc.subject.lemb | Cobertura vegetal | |
| dc.subject.lemb | Cuencas hidrográficas | |
| dc.subject.lemb | Regulación hídrica | |
| dc.subject.lemb | Teledetección | |
| dc.subject.lemb | Bosques altoandinos | |
| dc.title | Evaluación de la influencia de la cobertura boscosa en la regulación hídrica de la cuenca abastecedora del sistema Chingaza | |
| dc.title.titleenglish | Evaluation of the influence of forest cover on the hydrological regulation of the chingaza water supply watershed | |
| dc.type | bachelorThesis | |
| dc.type.coar | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.degree | Investigación-Innovación | |
| dc.type.driver | info:eu-repo/semantics/bachelorThesis |
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