Article

Monitoring and simulating landscape changes: how do long-term changes in land use and long-term average climate affect regional biophysical conditions in southern Malawi?

Details

Citation

Nkolokosa C, Stothard R, Jones CM, Stanton M, Chirombo J & Tangena JA (2023) Monitoring and simulating landscape changes: how do long-term changes in land use and long-term average climate affect regional biophysical conditions in southern Malawi?. Environmental Monitoring and Assessment, 195, Art. No.: 1247. https://doi.org/10.1007/s10661-023-11783-9

Abstract
We set out to reveal the effects of long-term changes in land use and long-term average climate on the regional biophysical environment in southern Malawi. Object-oriented supervised image classification was performed on Landsat 5 and 8 satellite images from 1990 to 2020 to identify and quantify past and present land use-land cover changes using a support vector machine classifier. Subsequently, using 2000 and 2010 land use-land cover in an artificial neural network, land use-land cover for 2020 driven by elevation, slope, precipitation and temperature, population density, poverty, distance to major roads, and distance to villages data was simulated. Between 1990 and 2020, area of land cover increased in built-up (209%), bare land (10%), and cropland (10%) and decreased in forest (30%), herbaceous (4%), shrubland (20%), and water area (20%). Overall, the findings reveal that southern Malawi is dominantly an agro-mosaic landscape shaped by the combined effects of urban and agricultural expansions and climate. The findings also suggest the need to enhance the machine learning algorithms to improve capacity for landscape modelling and, ultimately, prevention, preparedness, and response to environmental risks.

Keywords
Land use-land cover; Climate change; Machine learning; ANN; SVM; Malawi

Journal
Environmental Monitoring and Assessment: Volume 195

StatusPublished
FundersThe Wellcome Trust
Publication date31/10/2023
Publication date online30/09/2023
Date accepted by journal24/08/2023
URLhttp://hdl.handle.net/1893/38340
PublisherSpringer Science and Business Media LLC
ISSN0167-6369
eISSN1573-2959

People (1)

Mr Clinton Nkolokosa

Mr Clinton Nkolokosa

Tutor, Biological and Environmental Sciences

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