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dc.contributor.author | Romero, Claudia P. | es_ES |
dc.contributor.author | García-Arias, Alicia | es_ES |
dc.contributor.author | Dondeynaz, Celine | es_ES |
dc.contributor.author | Francés, F. | es_ES |
dc.date.accessioned | 2021-03-02T04:31:31Z | |
dc.date.available | 2021-03-02T04:31:31Z | |
dc.date.issued | 2020-05 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/162640 | |
dc.description.abstract | [EN] Usually, megacities expand without proper planning in a context of demographic growth and are increasingly dependent on the natural resources related to the occupied area. This is a major challenge for the sustainable management of these territories, justifying the need for a better knowledge of land use/land cover (LULC) distribution and characteristics to observe spatial anthropogenic dynamics. In this study, the Bogota river basin and the Bogota megacity were analyzed as a case study. The main objective of this work was to analyze the historical LULC dynamics from 1985 to 2014. Reliable forecasting scenarios were developed using the Land Change Modeler to support sustainable management and planning. Results show an expansion of the Bogota megacity toward the Northeast and an increase of urban areas within the basin. These changes implied a loss of 58% of forest surface, a strategic ecosystem, from 1985 to 2014. This dynamic is expected to continue, with a 50% increase of urban areas between 2012 to 2050, thus the megacity and neighbor cities potentially become an "urban continuum". A replacement of crop and pasture lands near the city is expected, even though Bogota lands are among the best agricultural lands in the Andean region of Colombia. | es_ES |
dc.description.sponsorship | This research was funded by the SANTO TOMAS UNIVERSITY (Colombia) and the Ministry of Science and Innovation of Spain through the research projects TETISMED (CGL2014-58127-C3-3-R) and TETISCHANGE (ref RTI2018-093717-B-I00). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Sustainability | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Land use | es_ES |
dc.subject | Land cover change | es_ES |
dc.subject | Megacity | es_ES |
dc.subject | Bogota river basin | es_ES |
dc.subject | Urbanization | es_ES |
dc.subject | Land change modeler | es_ES |
dc.subject | Forest ecosystems | es_ES |
dc.subject.classification | INGENIERIA HIDRAULICA | es_ES |
dc.title | Assessing Anthropogenic Dynamics in Megacities from the Characterization of Land Use/Land Cover Changes: The Bogotá Study Case | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/su12093884 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//CGL2014-58127-C3-3-R/ES/MEJORAS BIOGEOQUIMICAS EN EL MODELO TETIS Y SU EXPLOTACION EN EL ANALISIS DEL IMPACTO DEL CAMBIO GLOBAL EN LOS CICLOS DEL AGUA, CALIDAD Y SEDIMENTOS EN CUENCAS MEDITERRANEAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-093717-B-I00/ES/MEJORAS DEL CONOCIMIENTO Y DE LAS CAPACIDADES DE MODELIZACION PARA LA PROGNOSIS DE LOS EFECTOS DEL CAMBIO GLOBAL EN UNA CUENCA HIDROLOGICA/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient | es_ES |
dc.description.bibliographicCitation | Romero, CP.; García-Arias, A.; Dondeynaz, C.; Francés, F. (2020). Assessing Anthropogenic Dynamics in Megacities from the Characterization of Land Use/Land Cover Changes: The Bogotá Study Case. Sustainability. 12(9):1-21. https://doi.org/10.3390/su12093884 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/su12093884 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 21 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 12 | es_ES |
dc.description.issue | 9 | es_ES |
dc.identifier.eissn | 2071-1050 | es_ES |
dc.relation.pasarela | S\412146 | es_ES |
dc.contributor.funder | Universidad Santo Tomás | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.contributor.funder | Ministerio de Economía y Empresa | es_ES |
dc.description.references | Aguilar, A. G., Ward, P. M., & Smith Sr, C. . (2003). Globalization, regional development, and mega-city expansion in Latin America: Analyzing Mexico City’s peri-urban hinterland. Cities, 20(1), 3-21. doi:10.1016/s0264-2751(02)00092-6 | es_ES |
dc.description.references | Kourtit, K., Nijkamp, P., & Reid, N. (2014). The new urban world: Challenges and policy. Applied Geography, 49, 1-3. doi:10.1016/j.apgeog.2014.01.007 | es_ES |
dc.description.references | Lin, Y.-P., Chu, H.-J., Wu, C.-F., & Verburg, P. H. (2011). Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling – a case study. International Journal of Geographical Information Science, 25(1), 65-87. doi:10.1080/13658811003752332 | es_ES |
dc.description.references | Rothwell, A., Ridoutt, B., Page, G., & Bellotti, W. (2015). Feeding and housing the urban population: Environmental impacts at the peri-urban interface under different land-use scenarios. Land Use Policy, 48, 377-388. doi:10.1016/j.landusepol.2015.06.017 | es_ES |
dc.description.references | Haas, J., & Ban, Y. (2014). Urban growth and environmental impacts in Jing-Jin-Ji, the Yangtze, River Delta and the Pearl River Delta. International Journal of Applied Earth Observation and Geoinformation, 30, 42-55. doi:10.1016/j.jag.2013.12.012 | es_ES |
dc.description.references | Tian, L., Li, Y., Yan, Y., & Wang, B. (2017). Measuring urban sprawl and exploring the role planning plays: A shanghai case study. Land Use Policy, 67, 426-435. doi:10.1016/j.landusepol.2017.06.002 | es_ES |
dc.description.references | Veldkamp, A., & Fresco, L. O. (1996). CLUE: a conceptual model to study the Conversion of Land Use and its Effects. Ecological Modelling, 85(2-3), 253-270. doi:10.1016/0304-3800(94)00151-0 | es_ES |
dc.description.references | Kok, K. (2004). The role of population in understanding Honduran land use patterns. Journal of Environmental Management, 72(1-2), 73-89. doi:10.1016/j.jenvman.2004.03.013 | es_ES |
dc.description.references | Brown, L. A. (2014). The city in 2050: A kaleidoscopic perspective. Applied Geography, 49, 4-11. doi:10.1016/j.apgeog.2013.09.003 | es_ES |
dc.description.references | Islam, M. S., & Ahmed, R. (1970). Land Use Change Prediction In Dhaka City Using Gis Aided Markov Chain Modeling. Journal of Life and Earth Science, 6, 81-89. doi:10.3329/jles.v6i0.9726 | es_ES |
dc.description.references | Sangermano, F., Toledano, J., & Eastman, J. R. (2012). Land cover change in the Bolivian Amazon and its implications for REDD+ and endemic biodiversity. Landscape Ecology, 27(4), 571-584. doi:10.1007/s10980-012-9710-y | es_ES |
dc.description.references | He, Y., Ai, B., Yao, Y., & Zhong, F. (2015). Deriving urban dynamic evolution rules from self-adaptive cellular automata with multi-temporal remote sensing images. International Journal of Applied Earth Observation and Geoinformation, 38, 164-174. doi:10.1016/j.jag.2014.12.014 | es_ES |
dc.description.references | Vásquez, D. L. A., Balslev, H., & Sklenář, P. (2015). Human impact on tropical-alpine plant diversity in the northern Andes. Biodiversity and Conservation, 24(11), 2673-2683. doi:10.1007/s10531-015-0954-0 | es_ES |
dc.description.references | Alonso, D. L., Pérez, R., Okio, C. K. Y. A., & Castillo, E. (2020). Assessment of mining activity on arsenic contamination in surface water and sediments in southwestern area of Santurbán paramo, Colombia. Journal of Environmental Management, 264, 110478. doi:10.1016/j.jenvman.2020.110478 | es_ES |
dc.description.references | Hofstede, R. G. M. (1995). The effects of grazing and burning on soil and plant nutrient concentrations in Colombian p�ramo grasslands. Plant and Soil, 173(1), 111-132. doi:10.1007/bf00155524 | es_ES |
dc.description.references | Buytaert, W., Célleri, R., De Bièvre, B., Cisneros, F., Wyseure, G., Deckers, J., & Hofstede, R. (2006). Human impact on the hydrology of the Andean páramos. Earth-Science Reviews, 79(1-2), 53-72. doi:10.1016/j.earscirev.2006.06.002 | es_ES |
dc.description.references | Bocarejo, J. P., Portilla, I., & Pérez, M. A. (2013). Impact of Transmilenio on density, land use, and land value in Bogotá. Research in Transportation Economics, 40(1), 78-86. doi:10.1016/j.retrec.2012.06.030 | es_ES |
dc.description.references | Mas, J.-F., Kolb, M., Paegelow, M., Camacho Olmedo, M. T., & Houet, T. (2014). Inductive pattern-based land use/cover change models: A comparison of four software packages. Environmental Modelling & Software, 51, 94-111. doi:10.1016/j.envsoft.2013.09.010 | es_ES |
dc.description.references | Pontius, R. (2018). Criteria to Confirm Models that Simulate Deforestation and Carbon Disturbance. Land, 7(3), 105. doi:10.3390/land7030105 | es_ES |
dc.description.references | Jat, M. K., Choudhary, M., & Saxena, A. (2017). Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe. The Egyptian Journal of Remote Sensing and Space Science, 20(2), 223-241. doi:10.1016/j.ejrs.2017.02.002 | es_ES |
dc.description.references | Stellian, R., & Danna-Buitrago, J. P. (2017). Competitividad de los productos agropecuarios colombianos en el marco del tratado de libre comercio con los Estados Unidos: análisis de las ventajas comparativas. Revista de la CEPAL, 2017(122), 139-163. doi:10.18356/7fc7c097-es | es_ES |
dc.description.references | SAUNDERS, D. A., HOBBS, R. J., & MARGULES, C. R. (1991). Biological Consequences of Ecosystem Fragmentation: A Review. Conservation Biology, 5(1), 18-32. doi:10.1111/j.1523-1739.1991.tb00384.x | es_ES |
dc.description.references | Fischer, J., & Lindenmayer, D. B. (2007). Landscape modification and habitat fragmentation: a synthesis. Global Ecology and Biogeography, 16(3), 265-280. doi:10.1111/j.1466-8238.2007.00287.x | es_ES |
dc.description.references | ROJAS, I., BECERRA, P., GÁLVEZ, N., LAKER, J., BONACIC, C., & HESTER, A. (2011). Relationship between fragmentation, degradation and native and exotic species richness in an Andean temperate forest of Chile. Gayana. Botánica, 68(2), 163-175. doi:10.4067/s0717-66432011000200006 | es_ES |
dc.description.references | Mendoza S., J. E., & Etter R., A. (2002). Multitemporal analysis (1940–1996) of land cover changes in the southwestern Bogotá highplain (Colombia). Landscape and Urban Planning, 59(3), 147-158. doi:10.1016/s0169-2046(02)00012-9 | es_ES |
dc.description.references | Oviedo Hernandez, D., & Dávila, J. D. (2016). Transport, urban development and the peripheral poor in Colombia — Placing splintering urbanism in the context of transport networks. Journal of Transport Geography, 51, 180-192. doi:10.1016/j.jtrangeo.2016.01.003 | es_ES |