Analysis of land change in the dryland agricultural landscapes of eastern Botswana

Felicia O. Akinyemi, Gofamodimo Mashame

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This study’s focus is on Palapye, a predominantly dryland agricultural but urbanising region in eastern Botswana. Maps of ten land use-land cover (LULC) categories at three time points (1986, 2000, and 2014) were produced based on the ISO 19144 land cover classification scheme. Land change intensities were examined at the time interval, category and transition levels using Intensity Analysis. A combination of multi-layer perceptron neural network and Markov chain analysis was used to project LULC to 2028 and investigate future changes. The rate of land change was faster during the second time interval (2000–2014) than during the first time interval (1986–2000) as the region transforms from an agrarian to a service economy. In the first time interval cropland was a net losing category, whereas it was a net gaining category during the second time interval. Cropland expanded into shrublands in the southwestern part of the study area. The built-up category was active in gains during the two time intervals as it targeted grasslands and shrublands. Built-up is also projected to gain an additional 272 km2 by 2028. The bareland and paved/rocky materials categories were also active in gains during both time intervals. A loss of 26% of natural land cover over the study period was recorded due mainly to transition into croplands, built-up areas, and grassland. The policy implications of findings are discussed as this region is important for biodiversity, ecosystem services, food production, mining, and tourism.
Original languageEnglish
Pages (from-to)798-811
Number of pages14
JournalLand Use Policy
Volume76
DOIs
Publication statusPublished - 2018

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agricultural landscape
Botswana
land cover
arid lands
agricultural land
shrubland
shrublands
land use
grasslands
grassland
tourism
Markov chain
food production
ecosystem service
ecosystem services
neural networks
transform
biodiversity
taxonomy
neural network

Cite this

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title = "Analysis of land change in the dryland agricultural landscapes of eastern Botswana",
abstract = "This study’s focus is on Palapye, a predominantly dryland agricultural but urbanising region in eastern Botswana. Maps of ten land use-land cover (LULC) categories at three time points (1986, 2000, and 2014) were produced based on the ISO 19144 land cover classification scheme. Land change intensities were examined at the time interval, category and transition levels using Intensity Analysis. A combination of multi-layer perceptron neural network and Markov chain analysis was used to project LULC to 2028 and investigate future changes. The rate of land change was faster during the second time interval (2000–2014) than during the first time interval (1986–2000) as the region transforms from an agrarian to a service economy. In the first time interval cropland was a net losing category, whereas it was a net gaining category during the second time interval. Cropland expanded into shrublands in the southwestern part of the study area. The built-up category was active in gains during the two time intervals as it targeted grasslands and shrublands. Built-up is also projected to gain an additional 272 km2 by 2028. The bareland and paved/rocky materials categories were also active in gains during both time intervals. A loss of 26{\%} of natural land cover over the study period was recorded due mainly to transition into croplands, built-up areas, and grassland. The policy implications of findings are discussed as this region is important for biodiversity, ecosystem services, food production, mining, and tourism.",
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Analysis of land change in the dryland agricultural landscapes of eastern Botswana. / Akinyemi, Felicia O.; Mashame, Gofamodimo.

In: Land Use Policy, Vol. 76, 2018, p. 798-811.

Research output: Contribution to journalArticle

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