Monitoring and forecasting spatio-temporal LULC for Akure rainforest habitat in Nigeria

• Autorzy: Aliyu Yahaya A , Youngu Terwase T. , Abubakar Aliyu Z. , Bala Adamu , Jesulowo Christianah I.

Identyfikatory

DOI

10.2478/rgg-2020-0009

• Języki publikacji: EN

Abstrakty

EN

For several decades, Nigerian cities have been experiencing a decline in their biodiversity resulting from rapid land use land cover (LULC) changes. Anticipating short/long-term consequences, this study hypothesised the effects of LULC variables in Akure, a developing tropical rainforest city in south-west Nigeria. A differentiated trend of urban LULC was determined over a period covering 1999–2019. The study showed the net change for bare land, built-up area, cultivated land, forest cover and grassland over the two decades to be -292.68 km2, +325.79 km2, +88.65 km2, +8.62 km2 and -131.38 km2, respectively. With a projected population increase of about 46.85%, the study identified that the built-up land cover increased from 1.98% to 48.61%. The change detection analysis revealed an upsurge in built area class. The expansion indicated a significant inverse correlation with the bare land class (50.97% to 8.66%) and grassland class (36.33% to 17.94%) over the study period. The study observed that the land consumption rate (in hectares) steadily increased by 0.00505, 0.00362 and 0.0687, in the year 1999, 2009 and 2019, respectively. This rate of increase is higher than studies conducted in more populated cities. The Cellular Automata (CA) Markovian analysis predicted a 37.92% growth of the study area will be the built-up area in the next two decades (2039). The 20-year prediction for Akure built-up area is within range when compared to CA Markov prediction for other cities across the globe. The findings of this study will guide future planning for rational LULC

Słowa kluczowe

EN

LULC; change detection; landsat; Cellular Automata Markov model; Nigeria

PL

LULC; wykrywanie zmian; program Landsat; model Markova; automaty komórkowe; Nigeria

• Wydawca: Wydział Geodezji i Kartografii Politechniki Warszawskiej
• Czasopismo: Reports on Geodesy and Geoinformatics
• Rocznik: 2020
• Tom: Vol. 110
• Strony: 29--38
• Opis fizyczny: Bibliogr. 37 poz., rys., tab., wykr.

Twórcy

autor

Aliyu Yahaya A

• Department of Geomatics, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

autor

Youngu Terwase T.

• Department of Geomatics, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

autor

Abubakar Aliyu Z.

• Department of Geomatics, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

autor

Bala Adamu

• Department of Geomatics, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

autor

Jesulowo Christianah I.

• Department of Geomatics, Faculty of Environmental Design, Ahmadu Bello University, Zaria, Nigeria

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).