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Linking Pattern to Process: Intensity Analysis of Land-Change Dynamics in Ghana as Correlated to Past Socioeconomic and Policy Contexts

Author

Listed:
  • Syed Amir Manzoor

    (Department of Forestry & Range Management, Bahauddin Zakariya University, Multan 61000, Pakistan)

  • Geoffrey Hugh Griffiths

    (School of Agriculture, Policy & Development, University of Reading, Reading RG6 6EU, UK)

  • Elizabeth Robinson

    (Grantham Research Institute on Climate Change and the Environment, London School of Economics and Political Science (LSE), London WC2A 2AE, UK)

  • Kikuko Shoyama

    (Department of Regional and Comprehensive Agriculture, College of Agriculture, Ibaraki University, Ami 300-0393, Japan)

  • Martin Lukac

    (School of Agriculture, Policy & Development, University of Reading, Reading RG6 6EU, UK
    Department of Forest Management, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, 16521 Prague, Czech Republic)

Abstract

Spatio-temporal analysis of transitions in land cover is critical to understanding many ecological challenges, especially in environmentally vulnerable regions. For instance, in Sub-Saharan Africa, large-scale cropland expansion is expected due to the increasing demand for fuel, food, and fibre. Clearing land for cropland expansion is a driving factor in the degradation of natural ecosystems. We present a spatio-temporal analysis of land-cover change in Ghana’s Northern, Upper East, and Upper West provinces using Intensity Analysis on the periods from 1992 to 2003 and 2003 to 2015. The objectives of this study were to determine whether the intensity of land-use and land-cover (LULC) change is consistent between the two periods and to investigate the direction and extent of change for different LULC categories in northern Ghana. The methodology measures land-cover changes at the interval, category, and transition levels. The results suggest that the annual rate of land change was higher between 1992 and 2003 compared to that between 2003 and 2015. Furthermore, the category-level analysis reveals that the gains in the arable land and tree/forest-cover classes during both time intervals were higher than the uniform intensity. The transition-level analysis results indicate that most of the gains in arable land and tree/forest-cover came at the cost of semi-arid shrublands during both periods. There is also evidence of local increases in forest-cover, likely linked to afforestation policies established by the Ghanian government; however, overall, there has been a loss of natural habitat. The study provides data to improve our understanding of the magnitude and direction of land-cover change, essential for the development of policies designed to mitigate the impact of land-cover change on the livelihoods of local people and the environment at the national and sub-national levels.

Suggested Citation

  • Syed Amir Manzoor & Geoffrey Hugh Griffiths & Elizabeth Robinson & Kikuko Shoyama & Martin Lukac, 2022. "Linking Pattern to Process: Intensity Analysis of Land-Change Dynamics in Ghana as Correlated to Past Socioeconomic and Policy Contexts," Land, MDPI, vol. 11(7), pages 1-16, July.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:1070-:d:861966
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    References listed on IDEAS

    as
    1. Robert Gilmore Pontius & Yan Gao & Nicholas M. Giner & Takashi Kohyama & Mitsuru Osaki & Kazuyo Hirose, 2013. "Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia," Land, MDPI, vol. 2(3), pages 1-19, July.
    2. Godfred Seidu Jasaw & Osamu Saito & Kazuhiko Takeuchi, 2015. "Shea ( Vitellaria paradoxa ) Butter Production and Resource Use by Urban and Rural Processors in Northern Ghana," Sustainability, MDPI, vol. 7(4), pages 1-23, March.
    3. repec:wbk:wbpubs:2263 is not listed on IDEAS
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    Cited by:

    1. Dadirai Matarira & Onisimo Mutanga & Maheshvari Naidu & Terence Darlington Mushore & Marco Vizzari, 2023. "Characterizing Informal Settlement Dynamics Using Google Earth Engine and Intensity Analysis in Durban Metropolitan Area, South Africa: Linking Pattern to Process," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    2. Thomas Mumuni Bilintoh & Andrews Korah & Antwi Opuni & Adeline Akansobe, 2023. "Comparing the Trajectory of Urban Impervious Surface in Two Cities: The Case of Accra and Kumasi, Ghana," Land, MDPI, vol. 12(4), pages 1-14, April.
    3. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.

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    Keywords

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    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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