IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i20p11242-d654304.html
   My bibliography  Save this article

Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve

Author

Listed:
  • Michel Opelele Omeno

    (School of Forestry, Northeast Forestry University, Harbin 150040, China
    Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China
    Department of Natural Resources Management, Faculty of Agricultural Sciences, University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo)

  • Ying Yu

    (School of Forestry, Northeast Forestry University, Harbin 150040, China
    Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China)

  • Wenyi Fan

    (School of Forestry, Northeast Forestry University, Harbin 150040, China
    Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China)

  • Tolerant Lubalega

    (Institut National pour l’Étude et la Recherche Agronomiques (INERA), Antenne de Gestion et Conservation des Ressources Naturelles de Luki, Luki 03106, Democratic Republic of the Congo
    Département de Phytotechnie, Faculté des Sciences Agronomiques, Université de Kikwit, Kikwit 02201, Democratic Republic of the Congo)

  • Chen Chen

    (School of Forestry, Northeast Forestry University, Harbin 150040, China
    Key Laboratory of Sustainable Forest Ecosystem Management-Ministry of Education, School of Forestry, Northeast Forestry University, Harbin 150040, China)

  • Claude Kachaka Sudi Kaiko

    (Department of Natural Resources Management, Faculty of Agricultural Sciences, University of Kinshasa, Kinshasa 01302, Democratic Republic of the Congo)

Abstract

Major land-use/land-cover change due to rapid urbanization has been known to increase the land-surface temperature around the world. Consequently, examining the variation of land-surface temperatures and mitigating the related impacts remain a challenge. The present study employed remote-sensing and geoinformational techniques to examine land-use/land-cover change and its effects on land-surface temperature variations in the villages within the Luki Biosphere Reserve, Democratic Republic of Congo. Land-use/land-cover change for the year 2038 was predicted by using the CA–Markov chain. Additionally, focus-group discussions (FGDs) with local communities from different villages were applied to better understand the impact of climate change, considering the increase of land-surface temperature. The results revealed major changes in land-use/land-cover in the four villages from 2002 to 2020, principally the expansion of fallow land and built-up areas, as well as the decline in forest land, and the complex of young secondary and degraded forest. There was an increase in mean LST values over all villages between 2002 and 2020. The highest value was observed in Tsumba kituti (25.12 °C), followed by Kisavu (24.87 °C), Kibuya (23.31 °C) and Kiobo (21.82 °C). Between 2002 and 2020, the mean LST of built-up areas increased from 23.18 to 25.12 °C, 21.55 to 23.38 °C, 21.4 to 25.78 °C and 22.31 to 25.62 °C in Tsumba kituti, Kiobo, Kisavu and Kibuya, respectively. Moreover, the mean LST of fallow land increased from 20.8 to 23.2 °C, 21.13 to 22.12 °C, 21.89 to 23.12 °C and 20.31 to 23.47 °C in Tsumba, Kiobo, Kibuya and Kisavu, respectively. This indicates that built-up and fallow land experienced the highest land-surface temperature compared to other land-use/land-cover categories. Meanwhile, the conversion of all land-use/land-cover categories into built-up areas in all the villages resulted in the increase of the land-surface temperature. FGDs results recognize the recurrent land-use/land-cover change as the major driver of the increase in LST (86%). However, it was predicted that farmland and built-up area will still increase within all the villages, while the forest land will decline. As for the complex of secondary and degraded forest, it will decrease in Tsumba kituti, while, in Kiobo and Kisavu, it is expected to increase. Through a combination of remote-sensing and primary data, this study provides accurate information that will benefit decision-makers to implement appropriate landscape-planning techniques to mitigate the effect of the increased land-surface temperature in the villages.

Suggested Citation

  • Michel Opelele Omeno & Ying Yu & Wenyi Fan & Tolerant Lubalega & Chen Chen & Claude Kachaka Sudi Kaiko, 2021. "Analysis of the Impact of Land-Use/Land-Cover Change on Land-Surface Temperature in the Villages within the Luki Biosphere Reserve," Sustainability, MDPI, vol. 13(20), pages 1-23, October.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11242-:d:654304
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/20/11242/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/20/11242/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Opelele Omeno Michel & Yu Ying & Fan Wenyi & Chen Chen & Kachaka Sudi Kaiko, 2021. "Examining Land Use/Land Cover Change and Its Prediction Based on a Multilayer Perceptron Markov Approach in the Luki Biosphere Reserve, Democratic Republic of Congo," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    2. Yang, Xin & Zheng, Xin-Qi & Lv, Li-Na, 2012. "A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata," Ecological Modelling, Elsevier, vol. 233(C), pages 11-19.
    3. R White & G Engelen, 1993. "Cellular Automata and Fractal Urban Form: A Cellular Modelling Approach to the Evolution of Urban Land-Use Patterns," Environment and Planning A, , vol. 25(8), pages 1175-1199, August.
    4. M. Vani & P. Rama Chandra Prasad, 2020. "Assessment of spatio-temporal changes in land use and land cover, urban sprawl, and land surface temperature in and around Vijayawada city, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3079-3095, April.
    5. Huiran Han & Chengfeng Yang & Jinping Song, 2015. "Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    6. Heng Sun & Wayne Forsythe & Nigel Waters, 2007. "Modeling Urban Land Use Change and Urban Sprawl: Calgary, Alberta, Canada," Networks and Spatial Economics, Springer, vol. 7(4), pages 353-376, December.
    7. DMSLB Dissanayake & Takehiro Morimoto & Yuji Murayama & Manjula Ranagalage, 2019. "Impact of Landscape Structure on the Variation of Land Surface Temperature in Sub-Saharan Region: A Case Study of Addis Ababa using Landsat Data (1986–2016)," Sustainability, MDPI, vol. 11(8), pages 1-18, April.
    8. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Author Correction: Global land change from 1982 to 2016," Nature, Nature, vol. 563(7732), pages 26-26, November.
    9. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    10. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
    11. Manjula Ranagalage & Yuji Murayama & DMSLB Dissanayake & Matamyo Simwanda, 2019. "The Impacts of Landscape Changes on Annual Mean Land Surface Temperature in the Tropical Mountain City of Sri Lanka: A Case Study of Nuwara Eliya (1996–2017)," Sustainability, MDPI, vol. 11(19), pages 1-26, October.
    12. Karen C Seto & Michail Fragkias & Burak Güneralp & Michael K Reilly, 2011. "A Meta-Analysis of Global Urban Land Expansion," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-9, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    2. Haozhe Zhang & Qingyuan Yang & Huiming Zhang & Lulu Zhou & Hongji Chen, 2021. "Optimization of Land Use Based on the Source and Sink Landscape of Ecosystem Services: A Case Study of Fengdu County in the Three Gorges Reservoir Area, China," Land, MDPI, vol. 10(11), pages 1-24, November.
    3. Chunliu Gao & Deqiang Cheng & Javed Iqbal & Shunyu Yao, 2023. "Spatiotemporal Change Analysis and Prediction of the Great Yellow River Region (GYRR) Land Cover and the Relationship Analysis with Mountain Hazards," Land, MDPI, vol. 12(2), pages 1-24, January.
    4. Xiuyan Zhao & Changhong Miao, 2022. "Spatial-Temporal Changes and Simulation of Land Use in Metropolitan Areas: A Case of the Zhengzhou Metropolitan Area, China," IJERPH, MDPI, vol. 19(21), pages 1-27, October.
    5. Auwalu Faisal Koko & Wu Yue & Ghali Abdullahi Abubakar & Roknisadeh Hamed & Akram Ahmed Noman Alabsi, 2020. "Monitoring and Predicting Spatio-Temporal Land Use/Land Cover Changes in Zaria City, Nigeria, through an Integrated Cellular Automata and Markov Chain Model (CA-Markov)," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    6. Wang, Liye & Zhang, Siyu & Tang, Lanping & Lu, Yanchi & Liu, Yanfang & Liu, Yaolin, 2022. "Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China," Land Use Policy, Elsevier, vol. 115(C).
    7. Srijana Shrestha & Khem Narayan Poudyal & Nawraj Bhattarai & Mohan B. Dangi & John J. Boland, 2022. "An Assessment of the Impact of Land Use and Land Cover Change on the Degradation of Ecosystem Service Values in Kathmandu Valley Using Remote Sensing and GIS," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    8. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    9. Baoni Li & Lihua Xiong & Quan Zhang & Shilei Chen & Han Yang & Shuhui Guo, 2022. "Effects of land use/cover change on atmospheric humidity in three urban agglomerations in the Yangtze River Economic Belt, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(1), pages 577-613, August.
    10. Wei Fan & Xiankun Yang & Shirong Cai & Haidong Ou & Tao Zhou & Dakang Wang, 2024. "Land-Use/Cover Change and Driving Forces in the Pan-Pearl River Basin during the Period 1985–2020," Land, MDPI, vol. 13(6), pages 1-26, June.
    11. Tatiana Montenegro-Romero & Cristián Vergara-Fernández & Fabian Argandoña-Castro & Fernando Peña-Cortés, 2022. "Agriculture and Temperate Fruit Crop Dynamics in South-Central Chile: Challenges for Fruit Crop Production in La Araucanía Region, Chile," Land, MDPI, vol. 11(6), pages 1-12, May.
    12. Han, Yu & Jia, Haifeng, 2017. "Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China," Ecological Modelling, Elsevier, vol. 353(C), pages 107-116.
    13. Liu, Dongya & Zheng, Xinqi & Zhang, Chunxiao & Wang, Hongbin, 2017. "A new temporal–spatial dynamics method of simulating land-use change," Ecological Modelling, Elsevier, vol. 350(C), pages 1-10.
    14. Min Wang & Kongtao Qin & Yanhong Jia & Xiaohan Yuan & Shuqi Yang, 2022. "Land Use Transition and Eco-Environmental Effects in Karst Mountain Area Based on Production-Living-Ecological Space: A Case Study of Longlin Multinational Autonomous County, Southwest China," IJERPH, MDPI, vol. 19(13), pages 1-23, June.
    15. Xiaotong Wang & Jiazheng Han & Jian Lin, 2022. "Response of Land Use and Net Primary Productivity to Coal Mining: A Case Study of Huainan City and Its Mining Areas," Land, MDPI, vol. 11(7), pages 1-16, June.
    16. Shivangi S. Somvanshi & Oshin Bhalla & Phool Kunwar & Madhulika Singh & Prafull Singh, 2020. "Monitoring spatial LULC changes and its growth prediction based on statistical models and earth observation datasets of Gautam Budh Nagar, Uttar Pradesh, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1073-1091, February.
    17. Sarah Hasan & Wenzhong Shi & Xiaolin Zhu & Sawaid Abbas & Hafiz Usman Ahmed Khan, 2020. "Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    18. Chen Ma & Runze Nie & Guoming Du, 2023. "Responses of Soil Collembolans to Land Degradation in a Black Soil Region in China," IJERPH, MDPI, vol. 20(6), pages 1-13, March.
    19. Chasia, Stanley & Olang, Luke O. & Sitoki, Lewis, 2023. "Modelling of land-use/cover change trajectories in a transboundary catchment of the Sio-Malaba-Malakisi Region in East Africa using the CLUE-s model," Ecological Modelling, Elsevier, vol. 476(C).
    20. Nguyen Van Hiep & Nguyen Thi Thanh Thao & Luong Van Viet & Huynh Cong Luc & Le Huy Ba, 2023. "Affecting of Nature and Human Activities on the Trend of Vegetation Health Indices in Dak Nong Province, Vietnam," Sustainability, MDPI, vol. 15(7), pages 1-21, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11242-:d:654304. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.