Land Use Change Detection in OMO Biosphere Reserve Using GIS and Remote Sensing

Chima, UD; Adedire, M. O.

doi:10.5296/jee.v5i2.4774

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The land is undulating with occasional hills. A few rock outcrops are observed in parts of the reserve (Chima and Adedire, 2014).…”

Section: Materials and Methods Study Areamentioning

confidence: 99%

Phytosociological Assessment and Diversity of Woody Species in Omo Biosphere Reserve, Nigeria

Oyelowo,

Oladoye,

Ojo

et al. 2023

J. Cam. Acad. Sci

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Les activités d’exploitation forestière, les changements et les variations climatiques menacent la durabilité de l’ensemble de l’écosystème forestier. L’entretien et l’évaluation périodique de divers écosystèmes sont donc cruciaux pour la survie à long terme des êtres humains. Cependant, les données de base sur l’appauvrissement des écosystèmes forestiers au Nigéria sont insuffisantes ou absentes. Le but de la présente étude était d’évaluer la relation phytosociologique entre la composition des espèces et la diversité des espèces ligneuses à la réserve de biosphère de l’Omo. Trois lignes de transect ont été coupées à 200 m de distance l’une de l’autre. Chaque transect comporte 4 parcelles de 50 x 50 m en alternance à 100 m d’intervalle. Les arbres avec e” 10 cm de diamètre à hauteur de poitrine (DHP) dans chaque parcelle ont été mesurés pour la hauteur, DHP. Les données ont été analysées pour la composition, la richesse, la diversité, la densité relative et la dominance relative des espèces, l’indice de valeur d’importance des espèces (IVI), la diversité des espèces a été calculée à l’aide des indices de diversité de Shannon Weaner et de Simpson. Les données ont été analysées à l’aide du logiciel PAST Version.3 et de Microsoft Excel 2010. Le coefficient de corrélation de Carl-Pearson a été calculé entre différents paramètres phytosociologiques. Un total de 427 arbres représentant 57 de 22 familles ont été rencontrés dans la réserve de biosphère de l’Omo. La densité de peuplement des espèces d’arbres dominantes/ha varie de 0,33 arbres/ha à 26,33 arbres/ha. Pour la similarité de Simpson entre les parcelles, elle variait de 0 % à 77 % pour toutes les parcelles. La diversité des espèces (indices de diversité de Simpson) entre les parcelles varie de 64 % à 93 % pour toutes les parcelles. En conclusion, cette étude démontre la promesse d’une approche in situ de la préservation de la nature. Logging activities, climate change and variation are threatening the sustainability of the entire forest ecosystem. Maintenance and periodic assessment of diverse ecosystems are, therefore, crucial for the long-term survival of human beings. However, baseline data on the resulting depletion of forest ecosystems in Nigeria are insufficient or lacking. The aim of the present study was to assess the phytosociological relationship between species composition and the diversity of woody species at Omo Biosphere Reserve. Three lines of transect were cut apart 200 m far from each other. Each transect has 4 plots of 50 x 50m in an alternate manner at 100m intervals. Trees with e” 10 cm diameter at breast height (DBH) in each plot were measured for height, DBH. The data were analyzed for species composition, richness, diversity, relative density, and relative dominance, Species Importance Value Index (IVI), Species diversity was computed using Shannon’s Weaner and Simpson’s diversity indices. The Data were analyzed using PAST software Version.3 and Microsoft Excel 2010. The Carl-Pearson correlation coefficient was calculated between various phytosociological parameters. A total of 427 trees representing 57 from 22 families were encountered in Omo Biosphere Reserve. The stocking density of dominant tree species/ha ranges from 0.33 trees/ha to 26.33 trees/ha. For Simpson’s similarity between the plots, it varied from 0 % to 77 % for all the plots. The species diversity (Simpson’s diversity indices) between the plots varies from 64 % to 93 % for all plots. In conclusion, this study demonstrates the promise of an in-situ approach to nature preservation.

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“…The land is undulating with occasional hills. A few rock outcrops are observed in parts of the reserve (Chima and Adedire, 2014).…”

Section: Materials and Methods Study Areamentioning

confidence: 99%

Phytosociological Assessment and Diversity of Woody Species in Omo Biosphere Reserve, Nigeria

Oyelowo,

Oladoye,

Ojo

et al. 2023

J. Cam. Acad. Sci

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“…Human disturbances also referred to as human development, were found to have the greatest influence. Uzoma and Moses (2014) investigated the use of GIS and remote sensing to detect land use change in the Omo Biosphere Reserve. Between 1987 and 2011, this study evaluated the trends of land use change in Nigeria's Omo Biosphere Reserve.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Forest Landscape Spatial Data Modeling through Cloud-Based Approaches: A Case of Oluwa Forest Reserve, Ondo State, Nigeria

2023

NIU JSS

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The term "cloud computing" refers to Internet-based computing where virtual shared servers offer users software, infrastructure, platform, devices, and other resources on a pay-per-use basis. Remote sensing for the management of environmental resources can use cloud computing. Using cloud-based spatial data, this study will assess changes to the forest landscape in the Oluwa forest reserve. In this study, the reserve's existing and future forest cover is modelled utilising cloud data and cloud computing. This study shows how cloud computing may be used to detect different types of forest landscapes in Oluwa Forest Reserve based on projected future land cover patterns and simulated land cover utilising spatial data. The traditional approach to calculating forest cover is laborious and time-consuming. Using Google Earth and the cloud computing technology, it is possible to identify changes in forest cover more quickly and with less effort. According to the findings, forest land looked to have decreased between 1992 and 2022, with a larger rate of change between 2002 and 2012. The secondary forest increased with time as well, changing at a faster rate between 2002 and 2012 (approximately 6.5% growth) than between 2012 and 2022 (about 1.8% reduction). Between 1992 and 2022, non-forest land increased overall. Between 2002 and 2012, the non-forested area grew by 1.48%, while the 10-year period saw a 3.93% rise.

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Land Use Change Detection in OMO Biosphere Reserve Using GIS and Remote Sensing

Cited by 2 publications

References 9 publications

Phytosociological Assessment and Diversity of Woody Species in Omo Biosphere Reserve, Nigeria

Phytosociological Assessment and Diversity of Woody Species in Omo Biosphere Reserve, Nigeria

Enhancing Forest Landscape Spatial Data Modeling through Cloud-Based Approaches: A Case of Oluwa Forest Reserve, Ondo State, Nigeria

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