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Analyzing the Impact of Land Cover Changes on Spatio-Temporal Temperature Dynamics in the Kara Region of Togo

Author

Listed:
  • M’Ponkrou Takin

    (Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, China; Laboratory Organic Chemistry and Environment Science (LaCOSE), University of Kara-Togo, Togo)

  • Myint Myint Shwe

    (School of Atmospheric Science, Meteorology Department, Nanjing University of Information Science and Technology, China)

  • Abraham Okrah

    (Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, China)

  • Emmanuel Yeboah

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, China)

  • Hashimu Zuberi

    (Department of Physics, WAMA-Sharaf High School, Tanzania)

  • Kwamivi Nyonuwosro Segbeaya

    (Laboratory Organic Chemistry and Environment Science (LaCOSE), University of Kara-Togo, Togo)

  • Tanko Amamata Abubakar

    (Department of Atmospheric and Climate Science, University of Energy and Natural Resources, Ghana)

  • George Darko

    (School of Law and Public affairs, Nanjing University of Information Science and Technology, China)

  • Genesis Magara

    (Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, China)

  • Thet Mar Soe

    (Jiangsu Key Laboratory of Agricultural Meteorology, School of Applied Meteorology, Nanjing University of Information Science and Technology, China)

  • Ali Hasan Jaffry

    (School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, China)

  • Isaac Sarfo

    (College of Geography and Environmental Science, Henan University, China)

Abstract

This comprehensive study delves into the intricate interplay between temperature trends and land cover dynamics in the Kara region, offering robust insights into the evolving climate and environmental patterns. Employing the Mann-Kendall trend test, our analysis reveals a statistically significant and consistent warming trend over the study period. The observed low p-values, positive Tau values, and upward-sloping regression lines emphasize the urgent need for proactive measures to address the climate-related challenges faced by the region. Simultaneously, a meticulous correlation analysis explores the relationships between land surface temperature (LST) and key land metrics- farms, barelands, built-ups, forests, and water bodies. Farmlands exhibit a noteworthy and statistically significant negative correlation of −0.74 with LST (p

Suggested Citation

Handle: RePEc:epw:develo:v:4:y:2024:i:1:id:15346
DOI: 10.24018/ejdevelop.2024.4.1.346
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