Bourse de
PhD
du CBSI

Assessing the regional climate impacts of deforestation and forest degradation in the Congo Basin

Université de Leeds

Détails

Tropical deforestation causes local and regional climate warming (Butt et al., 2023) and reduces regional precipitation by 10-20% or more (Smith et al., 2023). Deforestation in the Congo Basin is accelerating rapidly, but the impacts on regional climate are highly uncertain. This PhD will make the first detailed assessment of the impacts of deforestation and forest degradation in the Congo on regional climate.

The role of Congo forests in regulating regional climate is severely understudied compared to other tropical forest regions (Spracklen et al., 2018; Barimalala et al., 2023). Little is known about the climate impacts of deforestation. Even less is known about the impacts of forest degradation which is pervasive across the Congo. The potential for climate tipping points, which have been identified in other tropical forest regions such as the Amazon, is not known. Critically, we do not know the impacts of deforestation and forest degradation in the Congo on rainfall that supports the crops of 300 million people living across the region.

This PhD will assess forest – rainfall feedbacks in the Congo Basin through answering the following questions:

  1. What is the impact of land cover change in the Congo, including deforestation and forest degradation, on regional climate?
  2. What are the land surface and land – atmosphere mechanisms that control regional climate changes induced by land cover change?
  3. What are the impacts of regional climate change caused by land use change on agriculture through altered crop yields?
  4. What is the potential for climate tipping points in the Congo Forest?

This PhD will combine satellite data and climate models to assess the impacts of recent deforestation on regional climate in the Congo Basin. The PhD will use a state-of-the-art regional climate model with water vapour tracking (WRF-WVT). This model allows water vapour to be followed from source to rain, providing unique information on the contribution of forest-derived moisture to regional rainfall. Climate data, including new data collected by the CBSI will be used to evaluate model predictions. New datasets of forest degradation, provided by CBSI and other researchers, will be used to make the first assessment of climate impacts of forest degradation. The project will use new simulations from the UK Earth System Model (UKESM) to assess the potential impacts of climate tipping points.

This PhD provides the opportunity to develop and apply skills in satellite remote sensing, data analysis, and climate modelling. You will be encouraged to develop and strengthen collaborations with other students and researchers working with the CBSI. You will be supported to publish your work in leading academic journals and communicate your results as widely as possible.

Infos

Superviseurs

Financement

  1. A PhD dissertation, in English.
  2. Assessment of the impacts of Congo deforestation and forest degradation on regional rainfall.
  3. Assessment of the impacts of deforestation-induced regional climate change on crop yields and agriculture.
  4. First assessment of the potential for climate tipping points in the Congo Forest.

Applicants should:

  • Have a quantitative background in environmental science, biology, chemistry, physics, mathematics, physical geography, or natural sciences.
  • Ideally have experience with modelling and data analysis, especially of large datasets such as satellite data.
  • Be keen to learn a wide range of skills from across different disciplines and apply them in new ways to help tackle an urgent societal challenge.
  • Have aptitude in English, with the ability to pass an English language test with the level required to enter the University of Leeds after no more than two months of intensive language training, funded as part of the scholarship, in April and May 2025.

Barimalala, R., Kolstad, E. W., Parker, D. J., & Williams, D. A. (2023). Effects of the Congo Basin Rainforest on Rainfall Patterns. Report no. 12-2023, NORCE Climate and Environment

Butt, E.W. et al., Amazon deforestation causes strong regional warming, PNAS, 120 (45) e2309123120 (2023). https://doi.org/10.1073/pnas.2309123120

Smith, C., Baker, J.C.A. & Spracklen, D.V. Tropical deforestation causes large reductions in observed precipitation. Nature 615, 270–275 (2023). https://doi.org/10.1038/s41586-022-05690-1

Spracklen, D. V., Baker, J. C. A., Garcia-Carreras, L. & Marsham, J. H. The effects of tropical vegetation on rainfall. Annu. Rev. Environ. Resour. 43, 193–218 (2018).

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L'établissement qui délivre le diplôme

La procédure de candidature, dans le cadre du CBSI, consiste à obtenir un financement et une équipe de supervision pour le projet. Les candidats retenus devront ensuite s'adresser à l'établissement qui délivre leur diplôme pour obtenir une place. Les bourses ne peuvent être accordées qu'aux candidats qui ont rempli toutes les conditions requises pour entrer dans l'établissement qui délivre le diplôme et qui ont officiellement accepté une place dans cet établissement. Vous trouverez ci-dessous les détails des critères requis pour demander une place dans l'établissement qui délivre le diplôme.

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Contact

For enquiries about…

This project:
Contact Dominick Spracklen by email to D.V.Spracklen@leeds.ac.uk

Your scholarship application:
Contact: info@congobasinscience.net

Applications to the degree awarding institution:
Contact: rp_applications@adm.leeds.ac.uk