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Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa

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  • Amah Akodéwou

    (CIRAD, Forêts et Sociétés, 34398 Montpellier, France
    Forêts et Sociétés, University Montpellier, CIRAD, 34398 Montpellier, France
    LBEV, Université de Lomé, Lomé 1515, Togo)

  • Johan Oszwald

    (UMR CNRS LETG 6554, Laboratory of Geography and Remote Sensing COSTEL, Université de Rennes 2, 35043 Rennes, France)

  • Slim Saïdi

    (CIRAD, Forêts et Sociétés, 34398 Montpellier, France)

  • Laurent Gazull

    (CIRAD, Forêts et Sociétés, 34398 Montpellier, France
    Forêts et Sociétés, University Montpellier, CIRAD, 34398 Montpellier, France)

  • Sêmihinva Akpavi

    (LBEV, Université de Lomé, Lomé 1515, Togo)

  • Koffi Akpagana

    (LBEV, Université de Lomé, Lomé 1515, Togo)

  • Valéry Gond

    (CIRAD, Forêts et Sociétés, 34398 Montpellier, France
    Forêts et Sociétés, University Montpellier, CIRAD, 34398 Montpellier, France)

Abstract

Assessing land use and land cover (LULC) change is essential for the sustainable management of natural resources, biodiversity conservation, monitoring food security, and research related to climate change and ecology. With increasingly rapid changes in LULC in response to human population growth, a better assessment of land use changes is more necessary than ever. Although a multitude of LULC assessment methods exists, none alone provides a clear understanding of changes and their underlying factors. This study analysed historical LULC changes over a temporal extent of 42 years (1974–2016) in the Togodo Protected Area and its surroundings, in Togo, by associating intensity and trajectory analyses, that are complementary but rarely associated in the literature. Our results show that LULC change in our study site is linked to the combined effects of human activities, climate, and invasive plants, particularly Chromolaena odorata . While each type of analysis provides useful insights, neither intensity nor trajectory analysis alone provides a full picture of changes and their causes. This study highlights the usefulness of associating intensity and trajectory analyses when implementing any management policy.

Suggested Citation

  • Amah Akodéwou & Johan Oszwald & Slim Saïdi & Laurent Gazull & Sêmihinva Akpavi & Koffi Akpagana & Valéry Gond, 2020. "Land Use and Land Cover Dynamics Analysis of the Togodo Protected Area and Its Surroundings in Southeastern Togo, West Africa," Sustainability, MDPI, vol. 12(13), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:13:p:5439-:d:380848
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    References listed on IDEAS

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    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.
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    3. Wenjie Wang & Chuanrong Zhang & Jenica M. Allen & Weidong Li & Mark A. Boyer & Kathleen Segerson & John A. Silander, 2016. "Analysis and Prediction of Land Use Changes Related to Invasive Species and Major Driving Forces in the State of Connecticut," Land, MDPI, vol. 5(3), pages 1-22, July.
    4. Issa Ouedraogo & Patrice Savadogo & Mulualem Tigabu & Roy Cole & Per Christer Oden & Jean-Marie Ouadba, 2011. "Trajectory Analysis of Forest Cover Change in the Tropical Dry Forest of Burkina Faso, West Africa," Landscape Research, Taylor & Francis Journals, vol. 36(3), pages 303-320.
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    Cited by:

    1. Xiaofang Sun & Guicai Li & Junbang Wang & Meng Wang, 2021. "Quantifying the Land Use and Land Cover Changes in the Yellow River Basin while Accounting for Data Errors Based on GlobeLand30 Maps," Land, MDPI, vol. 10(1), pages 1-18, January.
    2. Ola G. El‐Taliawi & Nihit Goyal & Michael Howlett, 2021. "Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching," Review of Policy Research, Policy Studies Organization, vol. 38(6), pages 640-660, November.
    3. Benyan Jiang & Shan Li & Jianjun Li & Yuli Zhang & Zihao Zheng, 2022. "Spatio-Temporal Dynamics and Sensitive Distance Identification of Light Pollution in Protected Areas Based on Muti-Source Data: A Case Study of Guangdong Province, China," IJERPH, MDPI, vol. 19(19), pages 1-14, October.
    4. Xiaofang Sun & Chao Yu & Junbang Wang & Meng Wang, 2020. "The Intensity Analysis of Production Living Ecological Land in Shandong Province, China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    5. Xiaolan Tang & John Adekunle Adesina, 2022. "Biodiversity Conservation of National Parks and Nature-Protected Areas in West Africa: The Case of Kainji National Park, Nigeria," Sustainability, MDPI, vol. 14(12), pages 1-23, June.

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