Modelling forest loss and other land use change dynamics in Ashanti Region of Ghana

Koranteng, Addo; Zawiła-Niedźwiecki, Tomasz

doi:10.1515/ffp-2015-0010

Cited by 19 publications

(14 citation statements)

References 30 publications

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“…Forest LC is generally reported to be decreasing in Ghana by several studies and reports [9,18,33,54,55]. Therefore, the overall net gain of about 23.3% forest LC revealed by our results (Figure 5) as well as the net gains observed within the five-year intervals examined (Table 2) are contrary to previous reports.…”

Section: Changes In Forest Land Covercontrasting

confidence: 99%

“…For example, Schueler et al [25] reported 58% deforestation within mining concessions in the then Western Region, which has been divided into the Western and Western North Regions since 2019 (Figure 1). Earlier, Koranteng and Zawila-Niedzwiecki [18] also noted that forest loss was a major issue in the Region, which is the most forested in Ghana. Osei-Wusu et al [61] reported remarkable conversions of protected forests to other land uses in the Sefwi Wiaso District in the new Western North Region.…”

Section: Changes In Forest Land Covermentioning

confidence: 96%

“…Several authors have applied these methods to study LULC changes in Ghana across various spatial and temporal scales spanning regional, district, city/municipal and river basin scales and covering between few and several years. Published regional LULC studies comprise land use appraisal and modeling future change dynamics [18], analysis of LULC spatial patterns and identification of spatial determinants [19][20][21], transformations in forests both inside and outside protected areas [22], determining classes of LULC around the coastal cities [23], determining relationships between LULC and demographic changes [24]. The District level studies span issues including evaluating the impacts of surface mining on LULC [15,25] and determining the drivers of LULC changes in peri-urban areas [26][27][28].…”

Section: Introductionmentioning

confidence: 99%

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Land Cover Changes in Ghana over the Past 24 Years

et al. 2021

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Changes in land cover (LC) can lead to environmental challenges, but few studies have investigated LC changes at a country wide scale in Ghana. Tracking LC changes at such a scale overtime is relevant for devising solutions to emerging issues. This study examined LC changes in Ghana for the past almost two and half decades covering 1995–2019 to highlight significant changes and opportunities for sustainable development. The study used land cover data for six selected years (1995, 2000, 2005, 2010, 2015, and 2019) obtained from the European Space Agency. The data was analyzed using R, ArcGIS Pro and Microsoft Excel 365 ProPlus. The original data was reclassified into eight LC categories, namely: agriculture, bare area, built-up, forest, grassland, other vegetation, waterbody, and wetland. On average, the results revealed 0.7%, 131.7%, 23.3%, 46.9%, and 11.2% increases for agriculture, built-up, forest, waterbody, and wetland, respectively, across the nation. However, losses were observed for bare area (92.8%), grassland (51.1%), and other vegetation (41%) LCs overall. Notably, agricultural land use increased up to 2015 and decreased subsequently but this did not affect production of the major staple foods. These findings reveal the importance of LC monitoring and the need for strategic efforts to address the causes of undesirable change.

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Section: Changes In Forest Land Covercontrasting

confidence: 99%

Section: Changes In Forest Land Covermentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

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Land Cover Changes in Ghana over the Past 24 Years

et al. 2021

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“…Attua and Fisher [6] also used the Markov chain model to predict land use change in the New Juaben municipality of Ghana. Koranteng and Niedzwiecki [25] projected forest loss in the Ashanti region of Ghana using the Land Change Modeler tool, which was embedded in the software IDRISI. Samardžić et al present the incorporation of Support Vector Machines (SVL) into land use modelling [26].…”

Section: Introductionmentioning

confidence: 99%

Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana

2019

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A rapid increase in the world’s population over the last century has triggered the transformation of the earth surface, especially in urban areas, where more than half of the global population live. Ghana is no exception and a high population growth rate, coupled with economic development over the last three decades, has transformed the Greater Accra region into a hotspot for massive urban growth. The urban extent of the region has expanded extensively, mainly at the expense of the vegetative cover in the region. Although urbanization presents several opportunities, the environmental and social problems cannot be underestimated. Therefore, the need to estimate the rate and extent of land use/land cover changes in the region and the main drivers of these changes is imperative. Geographic Information Systems (GIS) and remote sensing techniques provide effective tools in studying and monitoring land-use/land-cover change over space and time. A post classification change detection of multiple Landsat images was conducted to map and analyse the extent and rate of land use/land cover change in the region between 1991 and 2015. Subsequently, the urban extent of the region was forecasted for the year 2025 using the Markov Chain and the Multi-Layer Perceptron neural network, together with drivers representing proximity, biophysical, and socio-economic variables. The results from the research revealed that built-up areas increased by 277% over the 24-year study period. However, forest areas experienced massive reduction, diminishing from 34% in 1991 to 6.5% in 2015. The 2025 projected land use map revealed that the urban extent will massively increase to cover 70% of the study area, as compared to 44% in 2015. The urban extent is also anticipated to spill into the adjoining districts mainly on the western and eastern sides of the region. The success of this research in generating a future land-use map for 2025, together with the other significant findings, demonstrates the usefulness of spatial models as tools for sustainable city planning and environmental management, especially for urban planners in developing countries.

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“…The Conversion of Land-use and its effects (CLUE) is another land-use and land-cover change simulation model that has the geographic component, so it uses location characteristics (terrain, distance to roads population density etc.) [51]. These methods have been extensively used in many other studies, the CLUE model was used in simulating land-use changes in south-central Chile [52], to predicting land-use change and its impact on the groundwater system of Kleine Nete catchment in Belgium [53], and in simulating land-use changes in urban renewal areas in Hong Kong [54].…”

Section: Land-cover Change and Demographic Dynamics In Conakrymentioning

confidence: 99%

Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model

2018

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Abstract:In this study, land-cover change in the capital Conakry of Guinea was simulated using the integrated Cellular Automata and Markov model (CA-Markov) in the Geographic Information System (GIS) and Remote Sensing (RS). Historical land-cover change information was derived from 1986, 2000 and 2016 Landsat data. Using the land-cover change maps of 1986 and 2000, the land-cover change map for 2016 was simulated based on the Markov model in IDRISSI software (Clark University, Worcester, MA, USA). The simulated result was compared with the 2016 land-cover map for validation using the Relative Operating Characteristic (ROC). The ROC result showed a very strong agreement between the two maps. From this result, the land-cover change map for 2025 was simulated using CA-Markov model. The result has indicated that the proportion of the urban area was 49% in 2016, and it is expected to increase to 52% by 2025, while vegetation will decrease from 35% in 2016 to 32% in 2025. This study suggests that the rapid land-cover change has been led by both rapid population growth and extreme poverty in rural areas, which will result in migration into Conakry. The results of this study will provide bases for assessing the sustainability and the management of the urban area and for taking actions to mitigate the degradation of the urban environment.

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Modelling forest loss and other land use change dynamics in Ashanti Region of Ghana

Cited by 19 publications

References 30 publications

Land Cover Changes in Ghana over the Past 24 Years

Land Cover Changes in Ghana over the Past 24 Years

Land-Use/Land-Cover Change Analysis and Urban Growth Modelling in the Greater Accra Metropolitan Area (GAMA), Ghana

Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model

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