Dynamics of land cover in Sub-basin III of the South Basin of Lake Managua, Nicaragua.
DOI:
https://doi.org/10.5377/torreon.v9i25.9857Keywords:
change of land cover, Markov Chains, logistic regression, orderly allocation methodAbstract
Sub-basin III of the South Basin of Lake Managua, Nicaragua (hereafter Sub-basin III of Managua) is considered a strategic area for the economic and social development of Managua, so the dynamics of land cover that occur there generate environmental conflicts of different magnitudes. Therefore, the novelty of the study is the evaluation of the dynamics through Markovian transition probabilities using Landsat satellite images. Furthermore, based on logistic regression models, the biophysical and socioeconomic variables that affect the transitions of each land cover occurred over time were determined. And additionally, with the Orderly Allocation method plus the previous procedures, the dynamics of each coverage was simulated to the year 2025. The predictive capacity of the logistic regression models was evaluated by the method of the ROC curve (Receiver Operating Characteristic). The following periods were considered: 1997-2003, 2003-2010, 2010-2016, 2016-2025 (simulated). The results indicated that in the study area during all the periods, agriculture predominated with few oscillations over time. For the simulated period, there are high probabilities that the forest and urban areas will increase. The estimated transitions during the different periods observed reflect a high dynamism between the land covers. During the simulation, and with few exceptions, a similar dynamism was observed concerning the last observed period. Biophysical and socioeconomic variables explain the land cover transitions in Sub-basin III of Managua. However, the influence and the direction changes of the effects were not constant in the evaluated periods. Additionally, the validation results indicate that the land cover change model was acceptable.
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References
Alarcón, L. (2006). Factores, predicciones e implicaciones en la asignación de usos de suelo: revisión y reflexiones. Cuadernos de Investigación Geográfica. Cuadernos de Investigación Geográfica, 32, 147-160. https://dialnet.unirioja.es/descarga/articulo/2283774.pdf
ALMA. (2008). Actualización del estudio de drenaje pluvial de la Subcuenca III de la cuenca sur del lago de Managua. Informe final para la municipalidad de Managua, Alcaldía de Managua, Managua, Nicaragua.
Chuvieco, E. (2010). Teledetección Ambiental (Tercera ed.). Barcelona, España: Ariel.
FAO. (1996). Forest Resource Assessment Programme 1990, Survey of Tropical Forest Cover and Study of Change Processes. (F. a. Nations, Ed.) http://www.fao.org/docrep/007/w0015e/w0015e00.htm
Fuchs, R., Herold, M., Verburg, P. H., y Clevers, G. (2013). A high-resolution and harmonized model approach for reconstructing and analysing historic land changes in Europe. Biogeosciences, 10(3), 1543-1559. doi:10.5194/bg-10-1543-2013
Gong, C., Juquuan, C., y Shixiao, Y. (2011). Spatiotemporal dynamics of urban forest conversion through modelurbanization in Shenzhen, China. International Journal of Remote Sensing, 32(24), 9071–9092. doi:10.1080/01431161.2010.549848
Han, H., Yan, C., y Song, J. (2015). Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China. (Y. D. Wei, Ed.) Sustainability, 7(4), 4260-4279. doi:10.3390/su7044260
Henríquez, C., Azócar, G., y Aguayo, M. (2006). Cambio de uso de la tierra y escorrentía superficial: aplicación de un modelo de simulación espacial en Los Ángeles, VIII Región del Biobío, Chile. Geografía Norte Grande(36), 61-74. http://www.redalyc.org/comocitar.oa?id=30003604
Lambin , E. F., Geist , H. J., y Lepers , E. (2003). Dynamics of land-use and land-cover change in tropical regions. Annual Review of Environment and Resources, 28(1), 205-241. doi:10.1146/annurev.energy.28.050302.105459
Lambin , E., y Meyfroidt , P. (2010). Land use transitions: Socio-ecological feedback versus socio-economic change. 27(2), 108-118. doi:10.1016/j.landusepol.2009.09.003
Lambin, E. F., y Geist, H. (2006). Land Use and Land Cover Change. Springer-Verlag Berlin Heidelberg. http://www.sysecol2.ethz.ch/AR4_Ch04/Ch4-GreyLit/Al66.pdf
Lambin, E. F., Meyfroidt, P., Rueda, X., Blackman, A., Borner, J., Cerutti, P. O., . . . Wunder, S. (2014). Effectiveness and synergies of policy instruments for land use governance in tropical regions. Global Environmental Change, 28, 129-140. doi:10.1016/j.gloenvcha.2014.06.007
Lambin, E. F., Turner, B. L., Helmu, J., Geist, H. J., Agbola, S. B., Angelsen, A., . . . Xu, J. (2001). The causes of land-use and land-cover change:moving beyond the myths. Global Environmental Change(11), 261-269. https://dirzolab.stanford.edu/wp-content/articles/A_2001/52_2001_GlobEnvironChange.pdf
Moulds, S., Buytaert, W., y Mijic, A. (2015). An open and extensible framework for spatially explicit land use change modelling: the lulcc R package. Geoscientific Model Development(8), 3359–3402. doi:10.5194/gmdd-8-3359-2015
Oprsal , Z., Kladivo , P., y Machar , I. (2016). The role of selected biophosical factors in long-term land-use chance of cultural landscape. Apploed Ecology and Evironmental Research, 14(2), 23-40. doi:doi.org/10.15666/aeer/1402_023040
Overmars, K. P., de Koning, G. H., y Veldkamp. (2003). Spatial autocorrelation in multi-scale land use models. Ecological Modelling, 257-270. doi:10.1016/S0304-3800(03)00070-X
Pazúr, R., Otahel, J., y Maretta, M. (2015). The distribution of selected CORINE land cover clases in different natural landscapes in Slovakia: Methodological framework and applications. Moravian Geographical Reports, 23(1), 45-56. doi:10.1515/mgr-2015-0005
Peña, L. J. (2007). Efectos ecológicos de los cambios de coberturas y usos del suelo en la marina Baixa (Alicante). Tesis para optar al grado de Doctor en Biología, UA, Alicante, España. https://www.pik-potsdam.de/news/public-events/archiv/alter-net/alumni/tesis-juanpena.pdf
Pineda, J. B., Bosque, J., Gómez, D., y Plata, R. (2011). Analysis of the causative factors behind changes to forest cover in the state of mexico from 1993 to 2000. Boletín de la Asociación de Geógrafos Españoles, 56, 399-402. https://dialnet.unirioja.es/servlet/articulo?codigo=3722095
Pontius, R. G., Peethambaram, S., y Castella, J. C. (2011). Comparison of Three Maps at Multiple Resolutions: A Case Study of Land Change Simulation in Cho Don District, Vietnam. Annals of the Association of American Geographers, 101(1), 45-62. doi:10.1080/00045608.2010.517742
Pontius, R., Gil, J., y Schneider, L. C. (2001). Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agriculture, Ecosystems and Environment, 85(1-3). doi:10.1016/S0167-8809(01)00187-6
R Core Team. (2019). R: A language and environment for statistical computing. Viena, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
Rudel, T. K., Schneider, M., Uriarte, B. L., Turner, D. R., Lawrence, D., Geoghegan, J., . . . Grau, R. (2009). Agricultural intensification and changes in cultivated areas 1970-2005. Proceedings of the National Academy of Sciences of the United States of America, 110(49), 20675–20680. doi:10.1073pnas.0812540106
Satake , A., y Rudel, T. K. (2007). Modeling the Forest Transition: Forest Scarcity and Ecosystem Service Hypotheses. Ecological Applications, 17(7), 2024-2036. doi:10.1890/07-0283.1
Veldkamp, A., y Lambin, E. (2001). Predicting land-use change. Agriculture, ecosystems and environment, 1-6. doi:10.1016/S0167-8809(01)00199-2
Verburg, P. H., Rousenvell, D. A., y Veldkamp, A. (2006). Scenario-based studies of future land use in Europe. Agriculture, Ecosystems y Environment, 114(1), 1-6. doi:10.1016/j.agee.2005.11.023
Verburg, P. H., Soepboer, W., Veldkamp, Limpiada, A., y Mastura, S. (2002). Modeling the spatial dynamics of regional land use: the CLUE-S model. Environmental Management, 30(3), 391-405. doi:DOI: 10.1007/s00267-002-2630-x
Zhu, Z., Liu, L., Chen, Z., Zhang, J., y Verburg, P. H. (2010). Land-use change simulation and assessment of driving factors in the loess hilly region—a case study as Pengyang County. Environmental Monitoring and Assessment, 164(1-4), 133-142. doi:10.1007/s10661-009-0880-2
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