News Release

Global ocean oscillations and climate change affect weather patterns in the Serengeti

The Greater Mara-Serengeti experienced droughts, erratic rainfall and a 5 degree C temperature rise

Peer-Reviewed Publication

PLOS

Global ocean oscillations and climate change affect weather patterns in the Serengeti

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Wildlife succumbing to the 2020-2023 drought in the Tsavo Ecosystem of Kenya

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Credit: Tsavo Trust, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

The interactions between global climate change and ocean oscillations – fluctuating cycles in wind and ocean temperatures – are impacting weather patterns in the Greater Mara-Serengeti ecosystem in Kenya and Tanzania, according to a new study led by Joseph Ogutu of the University of Hohenheim, Isaiah Obara of Freie Universität Berlin, and Holly Dublin of Wasaa Conservation Centre, published October 2 in the open-access journal PLOS Climate.

The impacts of global climate change are now widely recognized, but the regional impacts – especially in the Southern Hemisphere – are less well understood. In the Southern Hemisphere and particularly in East Africa, climate change is primarily manifested through fluctuations in wind and sea surface temperatures that cause irregular cooling and warming periods, specifically, the global El Niño-Southern Oscillation (ENSO) in the Pacific Ocean and the regional Indian Niño in the Indian Ocean. These phenomena influence rainfall and temperature, making their patterns and interactions crucial to understanding the regional impacts of climate change.

In the new study, researchers used a variety of models to uncover long-term trends, cycles and seasonality in rainfall, temperature and vegetation for the Greater Mara-Serengeti ecosystem, and influences from ENSO and the Indian Niño. The team found that the area experienced recurrent severe droughts and erratic wet conditions and recorded a rise in temperatures of 4.8 to 5.8 degrees Celsius over six decades. Wet and dry season rainfall amounts have fluctuated in varying cycles, but year-to-year, average rainfall has remained similar and occurred in regular seasons. However, rainfall was above average in both dry and wet seasons from 2010-2020, likely influenced by global warming and the Indian Niño.

The researchers conclude that understanding regional climate trends and how they are influenced by large-scale oceanic and atmospheric oscillations is crucial for predicting future climate conditions and mitigating their impact on people and animals. For example, droughts increase the risk of starvation for wildlife, shrink wetlands and intensify human-wildlife conflicts, while heavy rainfall can lead to habitat destruction. The insights from this work can be used to develop strategies to reduce the impacts of climate change in the region and to inform environmental planning and conservation efforts.

The authors add: “The Mara-Serengeti ecosystem, like many African savannas, has seen a 5.3-degree Celsius rise in minimum temperatures since 1960, concurrent with the warming Indian Ocean, leading to habitat desiccation and severe threats to wildlife populations. Frequent severe to extreme droughts and rare instances of very wet to extremely wet years in the Mara-Serengeti ecosystem also significantly threaten wildlife populations.”

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In your coverage please use this URL to provide access to the freely available article in PLOS Climate: https://journals.plos.org/climate/article?id=10.1371/journal.pclm.0000388

Citation: Ogutu JO, Bartzke GS, Mukhopadhyay S, Dublin HT, Senteu JS, Gikungu D, et al. (2024) Trends and cycles in rainfall, temperature, NDVI, IOD and SOI in the Mara-Serengeti: Insights for biodiversity conservation. PLOS Clim 3(10): e0000388. https://doi.org/10.1371/journal.pclm.0000388

Author Countries: Germany, India, Kenya, the Netherlands

Funding: The Masai mara Ecological Monitoring Program was funded by the Worldwide Fund for Nature-East Africa Programme (WWF-EARPO) and Friends of Conservation (FOC). The programme also received financial, material or logistical support from WWF-Sweden, the Darwin Initiative through DICE, Cottar’s Camp, Kichwa Tembo and Ker and Downey Safaris. JOO was supported by a grant from the German Research Foundation (DFG, Grant # 257734638). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 641918. IOB was supported by the German Research Foundation (DFG) (OB 490/2–1).


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