Spatio-Temporal Dynamics of the Mangrove in Sofala Bay, Central Mozambique, Between 2003, 2013, and 2023
DOI:
https://doi.org/10.5281/zenodo.17991738Keywords:
mangrove, dynamic temporal space, sofala bay, Ecodynamic UnitsAbstract
The study of the dynamics and transformations of vegetation temporal space provides the understanding of how vegetation and its structure develop over time. The present study was mainly aimed at evaluating the dynamic temporal space of the mangrove forest in the sofala bay. To this end, images of remote sensing of the Landsat satellites of 2003, 2013 and 2023 were used. Using QGIS 3.14, images were ruined and geometrically, later classified to discriminate the mangrove in the sofala bay of other forms of land use, thus allowing mapping and quantification of the mangrove coverage area for each year of study. As a result, it was observed that during the period in analysis 14.23% of the mangrove coverage in the sofala bay, corresponding to 841 hectares, were lost. In the media, the coverage of manga in the sofala bay between 2003 and 2023 was reduced by 42 hectares/year. The mangrove coverage in the sofala bay reduces as other forms of land use and occupation increases. The expansion of housing areas and mangrove logging are some of the factors that influenced vegetation loss.
References
Azevedo, C. P. (2006). Dinâmica de florestas submetidas a manejo na amazônia oriental: experimentação e simulação. p. 3-37.
Barboza, J.; Broadbent, E. N.; Bitencourt, M. (2014). Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: (Vol. A Review.). International Journal of Forestry Research.
Belloli, T. F. (2019). Estimativa de biomassa e estoque de carbono de vegetação macrofítica a partir de dados espectrais e de campo, Banhado Grande, RS. p. 93.
Camara, I. P. (2013). Estratégias para uso e conservação do Mangal do Icidua- Província da Zambézia, distrito de Quelimane. p. c.
Chambo, J. (2017). Avaliação da cobertura de floresta de mangal no posto administrativo de Macuse (“Namacurra”), através do sensoriamento remoto. p. 4-6.
Cuamba, E.; Viera, L.; Morgado, F. (2019). Condição ecológica e biomassa da floresta de mangal da baia de quionga no contexto das alterações climáticas (Norte Moçambique). p. 1-2.
Fatoyinbo, L.; Shugart, H.; Simard, M. (2008). Landscape-scale extent, height, biomass, and carbon estimation of Mozambique's mangrove forests with Landsat ETM+ and Shuttle Radar Topography Mission elevation data. p. 1-13.
Francisco, L.; Ribeiro, N.; Sitoe, A. (2019). Análise de Mudança de Cobertura do Mangal na Baía de Sofala. 8, p. 51-60. Moçambique.
Gonçalves, A. K.; Silveira, G. P.; Barros, Z.; Campos, S. (2015). Métodos de classificação supervisionada de imagens de satélite aplicadas no mapeamento do uso do solo na bacia hidrográfica do ribeirão santo antônio, são manuel/sp. SP.
Jones, T.; Ratsimba, R.; Ramorinorotsihorana, L.; Cripps, L. A, B. (2014). Ecological Variability and Carbon Stock estimates of Mangrove Ecosystem in Northwestern Madagascar. p. 177-205.
Luis, A. D. (2011). Aplicação Dos Sistemas De Informação Geográfica E Detecção Remota No Monitoramento Do Mangal, Dissertaçao de Mestrado. p. 70.
Mandlate, L. (2013). Mangal da Baia de Sofala: Caracterização Ecológica e Estimativa do Carbono sequestrado Dissertação de Mestrado em Educação e Ciências Agrarias-ramo sivilcultura. FAEF. Universidade Eduardo Mondlane. pp. 81-62. Maputo.
Marzoli, A. (2007). Relatorio de Inventario nacional de Florestas. pp. 8-60.
Pereira, S. S. (2023). How do mangroves contribute to the social and economic development of local communities in Inhambane? p. 1-4.
Saket, M.; Matusse, R. (1994). Study for the determination of the rate of deforestation of the mangrove vegetation in Mozambique. Maputo.
Uacane, M. S. (2014). Contribuição de factores humanos na dinâmica da cobertura espacial das áreas do mangal na beira (1984-2014). p. 96-154.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Revista Espinhaço
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
