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Quantifying spatiotemporal dynamics in the Kolonnawa marsh of Colombo, Sri Lanka.
Rathnayake, R M U B; Chandrathilake, G G T; Jayawardana, D T; Tanaka, Nobuaki; Gunathilake, B M; Buddhima, A V P S.
Afiliación
  • Rathnayake RMUB; Department of Forestry and Environmental Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, CO, Sri Lanka. umandarathnayake719@gmail.com.
  • Chandrathilake GGT; Department of Forestry and Environmental Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, CO, Sri Lanka.
  • Jayawardana DT; Department of Forestry and Environmental Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, CO, Sri Lanka.
  • Tanaka N; Center for Forestry and Environment, University of Sri Jayewardenepura, Nugegoda, 10250, CO, Sri Lanka.
  • Gunathilake BM; Graduate School of Agricultural and Life Sciences, The University of Tokyo Hokkaido Forest, The University of Tokyo, Bunkyo City, Tokyo, 113-8654, Japan.
  • Buddhima AVPS; Department of Forestry and Environmental Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, CO, Sri Lanka.
Environ Monit Assess ; 196(8): 690, 2024 Jul 03.
Article en En | MEDLINE | ID: mdl-38958832
ABSTRACT
Kolonnawa marsh (KM) is an important wetland ecosystem in Colombo district, Sri Lanka that provides essential ecosystem services, and has undergone significant changes over recent decades due to continuous exploitation and reclamation. The values of wetlands are disregarded by decision-makers, despite the fact that they are crucial for improving the quality of water and offer chances for relaxation and amusement in metropolitan areas. Underestimation of the value of wetlands contributes to their continuing deterioration and inevitable loss. Investigating the changes in wetlands can provide crucial information for decision-making. This study aimed to monitor the spatiotemporal land-cover dynamics of KM with the prospect prediction as reduced total extent of KM gradually with time and marsh area being transformed into terrestrial vegetation with time. The collective images from Google Earth (2000 to 2021) and drone data (2022) were analyzed with the GIS application. Subsequently, 50-m2 grid squares with unique cell IDs are designed to link among land cover maps for spatiotemporal land-cover change analysis. Then, we calculate land cover category surface water, marsh, and terrestrial vegetation proportions for each map in 50-m2 grid cells. Statistical comparison of the land cover changes in grid square cells shows that each land cover category has significant change with the time. The results showed that the reduction of KM marsh resulting in land cover changes has a positive implication on wetland degradation. Thus, interventions should be made for the restoration and sustainable management of KM.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Conservación de los Recursos Naturales / Humedales País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Sri Lanka Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Monitoreo del Ambiente / Conservación de los Recursos Naturales / Humedales País/Región como asunto: Asia Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2024 Tipo del documento: Article País de afiliación: Sri Lanka Pais de publicación: HOLANDA / HOLLAND / NETHERLANDS / NL / PAISES BAJOS / THE NETHERLANDS