Soil cover dynamics in the Belen Settlement, Tacuaras District, Ñeembucú Department, Paraguay.
DOI:
https://doi.org/10.70833/rseisa20item797Keywords:
Soil cover, Changes, Transition, Gains, LossesAbstract
This study aims to evaluate land cover changes in the Belén settlement, Ñeembucú Department, through a multi-temporal analysis for the period 1995–2022. The analysis identifies change trajectories, land cover transitions, persistence, gains and losses, and the internal structure of the forests. A quantitative approach with a longitudinal trend design is used, employing remote sensing techniques and Geographic Information Systems (GIS) for the analysis of Mapbiomas data. This methodology allows for the quantification of transitions, gains, losses, and persistence of different land cover classes. The results reveal a critical landscape transformation, characterized by a reduction in the dominant cover of floodplain grasslands. This loss is offset by an expansion of dry grasslands and an increase in floodplain woody vegetation, indicating a concurrent process of landscape dehumidification and ecological succession. The existence of direct anthropogenic pressure is evident, manifested in the deforestation of dense woodlands and the expansion of land use for production. It is concluded that the observed dynamics are driven by a combination of altered hydrological regimes and intensified land use, factors that compromise the sustainability of the ecosystem. This highlights the need to implement adaptive management strategies that include the conservation of remaining wetlands and the promotion of sustainable production systems.
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Aguirre-Calderón, O. A., Alanís-Rodríguez, E., Jiménez-Pérez, J., Treviño-Garza, E. J., Olivas-García, J. M., & Cuéllar-Rodríguez, L. G. (2024). Efecto del manejo forestal en los ecosistemas forestales. Ciencia e Investigación Agraria, 11(22), 27-33. https://doi.org/10.32870/e-cucba.vi22.345
Badapalli, P. K., Babu, K. R., & Pujari, P. S. (2023). Land Degradation and Desertification (pp. 13–49). Springer Nature. https://doi.org/10.1007/978-981-99-6729-2_2
Bairwa, K. C., Jethoo, A. S., Yadav, A., Muhammad, S. A., & Chauhan, S. (2024). Longitudinal Assessment of Urban Land Transformations with Multi-Sensory Remote Sensing in a Semi-Arid Metropolitan City. 1–5. https://doi.org/10.1109/iemecon62401.2024.10846040
Braimoh, A. K., & Vlek, P. L. G. (2005). Land-Cover Change Trajectories in Northern Ghana. Environmental Management, 36(3), 356–373. https://doi.org/10.1007/S00267-004-0283-7
Deus, R. F., & Tenedório, J. A. (2021). Coastal Land-Use and Land-Cover Change Trajectories: Are They Sustainable? Sustainability, 13(16), 8840. https://doi.org/10.3390/SU13168840
Eso, A. (2023). Land Cover Change Detection Using Multi-spectral Satellite Images. In Lecture notes in networks and systems (pp. 799–810). https://doi.org/10.1007/978-981-99-0981-0_60
Farfán Pimentel, J. F., Delgado Arenas, R., Shimizu Santillán, S. M., Guillén Aparicio, P. E., & Farfán Pimentel, D. E. (2022). Application Of Remote Sensing In Environmental Studies: A Theoretical Review. International Journal of Environmental, Sustainability, and Social Sciences, 3(1), 137–143. https://doi.org/10.38142/ijesss.v3i1.198
Fauzan, H., & Syarief, A. (2024). Analysis of Land Cover Changes in Batang Anai Subdistrict, Padang Pariaman Regency, from 2002 to 2022. https://doi.org/10.58578/aldyas.v3i2.2936
Grover, D., Kalonia, N., Dahiya, B., & Rani, P. (2024). Soil health for sustainable agriculture (pp. 117–145). https://doi.org/10.58532/v3bcag19p4ch4
Guo, Z., Chen, D., Ning, T., & Zhang, W. (2024). High quality sustainable development of soil and water conservation vegetation. https://doi.org/10.22541/au.170670887.70440900/v1
Hasanah, U., Amami, A. A., y Amelia, R. (2023). Forest conversion to agricultural lands: impact on soil physical characteristics. In IOP Conference Series: Earth and Environmental Science. 1253, 012027. https://doi.org/10.1088/1755-1315/1253/1/012027
Krivoguz, D. (2024). Geo-spatial analysis of urbanization and environmental changes with deep neural networks: Insights from a three-decade study in Kerch peninsula. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2024.102513
Mao, Y. (2023). 13 - Cross-Sectional Studies (pp. 269–291). Cambridge University Press eBooks. https://doi.org/10.1017/9781009010054.014
Neelam, K., Ayare, B. L., Bhange, H. N., Ingle, P. M., & Kasture, M. C. (2024). Land Use and Land Cover Change Detection Using Remote Sensing in the Kal River Basin, Raigad District, Maharashtra, India. International Journal of Enviornment and Climate Change, 14(10), 58–69. https://doi.org/10.9734/ijecc/2024/v14i104467
Oruonye, E., Tukura, E. D., Zemba, A. A., & Ahmed, Y. (2022). Terrain analysis for environmental sustainability in Taraba Central Senatorial Districts, North-East, Nigeria. https://doi.org/10.15406/freij.2022.05.00105
Palaniyandi, M., & Mahato, D. (2024). Spatial and Temporal Analysis of Land Use: Land Covers Changes Using Remote Sensing and GIS: A Case Study from Bijoy River Basin, Tripura, India. Journal of Geography, Environment and Earth Science International, 28(9), 152–165. https://doi.org/10.9734/jgeesi/2024/v28i9818
Rahayu, C. U., Indarto, I., Putra, B. T. W., & Nadzirah, R. (2023). Land Cover Changes Based on Landsat Imagery Interpretation. Jurnal Teknik Pertanian Lampung, 12(1), 1. https://doi.org/10.23960/jtep-l.v12i1.1-13
Rodríguez-Rosales, J., González‐Camacho, J. M., Macedo-Cruz, A., & Fernández-Ordoñez, Y. M. (2024). Estimación del cambio de cobertura terrestre utilizando imágenes satelitales Landsat y el clasificador forestal aleatorio. Agrociencia, 1–17. https://doi.org/10.47163/agrociencia.v58i8.2846
Samani, K. M., Pordel, N., Hosseini, V., & Shakeri, Z. (2020). Effect of land-use changes on chemical and physical properties of soil in western Iran (Zagros oak forests). Journal of Forestry Research, 31(2), 637–647. https://doi.org/10.1007/S11676-018-0799-Y
Tan, L., Tiong, R. L. K., Zhang, Z., & Najafzadeh, M. (2023). Land Use Land Cover Change Detection using Remote Sensing and Random Forest Model. https://doi.org/10.20944/preprints202308.2000.v1
Tonini, M., Koutsias, N., Parente, J., & Di Ventra, M. (2023). Transitions between use/land cover classes and burnt areas in Europe. https://doi.org/10.5194/egusphere-egu23-5159
Vaid, T., & Pathania, S. S. (2024). Land Use-Land Cover Changes and Associated Drivers: A case of Salooni Block of Chamba. Current World Environment. https://doi.org/10.12944/cwe.19.1.40
Yaseen, U., Khan, M. Y., Zia, M. S., Ahmad, Z., Ahmad, B., & Younas, M. (2024). The Loss Canopies, Damaged Soil: Evaluating The Interconnected Effects Of Deforestation And Agroforestry Decline On Soil Health. 2(1), 17–30. https://doi.org/10.55627/agribiol.002.01.0840
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