Vegetation Cover in the Water Mirror of the Baba Reservoir, Los Ríos, Ecuador
Keywords:
Coverage, Macrophytes, Radar, Species, SurfaceAbstract
The Multipurpose Baba is located to the North of Los Ríos Province, between the Cantons Buena Fe and Valencia. It has a hydroelectric power plant that generates 42 MW for the National Interconnected System (SIN) and the capacity to accumulate 90 million cubic meters of freshwater. The Baba Multipurpose Water Weed Management and Control Program (PMB), allows us to evaluate the behavior of the weed inside the reservoir, in the transfer and tributaries, as well as identify possible micro-environmental changes, control destabilization phenomena on the banks of the reservoir and streams downstream of dams. There are several species that we find in different points of the reservoir, being of particular importance, those floating species that can be moved by the watercourses from the higher positions in the rivers to the points where they can accumulate in the reservoir itself. The number of species found is quite low, with only three floating species with few individuals. 90% of the species found are rooted plants, restricted to the edges of water bodies, which have been reported as weeds. This paper intends to calculate the area of the water mirror covered by the “vegetation carpet” by means of remote sensors and to make an inventory of hydrophilic vascular species present in the reservoir.
References
Efficãcitas. (2006). Estudio de Impacto Ambiental Definitivo Proyecto Multipropósito BABA. Consorcio Hidro-energético del Litoral – CHL. Quevedo, Ecuador: Universidad Técnica Estatal de Quevedo.
El Telégrafo. (2013a). Multipropósito Baba, primera megaobra del nuevo período. Recuperado el 25 de marzo de 2018, de https://www.eltelegrafo.com.ec/noticias/economia/8/multiproposito-baba-primera-meg
El Telégrafo. (2013b). Baba: 42 MW de energía limpia. Recuperado el 25 de marzo de 2018, de https://www.eltelegrafo.com.ec/noticias/economia/8/baba-42-mw-de-energia-limpia
ESA. (2020). SNAP Toolbox. Recuperado de https://step.esa.int/main/toolboxes/snap/
Gutiérrez, F. I. R. y Canales, G. A. (2012). Evaluación comparativa de la diversidad de flora silvestre entre la isla Taquile y el cerro Chiani en relación a la altitud, Puno, Perú. Ecología Aplicada, 11, 40–46.
Geosima S.A. (2016). Informe de cálculo de área de cobertura vegetal en el embalse Daule Peripa. Guayaquil, Ecuador: Geosima.
Geosima S.A. (2018). Informe de cálculo de área de cobertura vegetal en el embalse Daule Peripa. Guayaquil, Ecuador: Geosima.
Global Invasive Species Database. (2016). Recuperado de http://www.iucngisd.org/gisd/search.php
Hutcheson, K. (1970). A test for comparing diversities based on the Shannon-Wiener formula. Journal of Theoretical Biology, 29(1), 151–154.
López, R. G. y Rosas, U. (2002). El Herbario. Serie Apoyos Académicos. Chapingo, México: Universidad Autónoma de Chapingo.
López-Caloca, A., Tapia-Silva, F. O. y Rivera, G. (2017). Sentinel-1 Satellite Data as a Tool for Monitoring Inundation Areas near Urban Areas in the Mexican Tropical Wet. En Water Challenges of an Urbanizing World. Ciudad de México: Universidad Autónoma Metropolitana.
Santillán, M. (2017). Manual de malezas presentes en cultivos de importancia económica del Ecuador. Quito, Ecuador: Agrocalidad.
Stewart, C. (2017, 30 de octubre). EO College. Recuperado de https://eo-college.org/
Sutherland, W. L. (1999). Ecological Census Techniques. Cambridge, U.K.: Cambridge University Press.
Tropicos.org. (2018). Missouri Botanical Garden. Recuperado el 28 de marzo de 2018 de http://www.tropicos.org
UN-SPIDER. (2020). United Nations Platform for Space-based Information for Disaster Management and Emergency Response. Obtenido de Step by Step: Recommended Practice Flood Mapping: http://www.un-spider.org/advisory-support/recommended-practices/recommended-practice-flood-mapping/step-by-step
Valdiviezo Navarro, J. C., Salazar-Garibay, A., Téllez-Quiñones, A., Orozco-del-Castillo, M. y López-Caloca, A. (2019). Inland water body extraction in complex reliefs from Sentinel-1 satellite data. Journal of Applied Remote Sensing, 13(1), 016524. https://doi.org/10.1117/1.JRS.13.016524
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