Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Assessing Drought Frequency and Predictive Climate Analysis in two Biosphere Reserves of Benin (West Africa)

Version 1 : Received: 12 November 2023 / Approved: 13 November 2023 / Online: 13 November 2023 (10:23:03 CET)
Version 2 : Received: 6 December 2023 / Approved: 7 December 2023 / Online: 7 December 2023 (08:24:35 CET)

How to cite: Dossou-Yovo, H.O.; Osseni, A.A.; Al-Robai, S.A.; Hegbe, A.D.M.T.; Sinsin, B. Assessing Drought Frequency and Predictive Climate Analysis in two Biosphere Reserves of Benin (West Africa). Preprints 2023, 2023110783. https://doi.org/10.20944/preprints202311.0783.v2 Dossou-Yovo, H.O.; Osseni, A.A.; Al-Robai, S.A.; Hegbe, A.D.M.T.; Sinsin, B. Assessing Drought Frequency and Predictive Climate Analysis in two Biosphere Reserves of Benin (West Africa). Preprints 2023, 2023110783. https://doi.org/10.20944/preprints202311.0783.v2

Abstract

Climate change is affecting the planet, compromising survival and altering forest ecosystems. Investigating climatic variations in all regions is important. The aim of this research was to assess such variations in the W and Pendjari Biosphere Reserves in Benin from 1985 to 2015 and predict climate up to 2045. Drought frequency was assessed by using the Standardized Precipitation and Evapotranspiration Index (SPEI) and correlation was performed between climatic variables. Then a predictive analysis was computed. From 1985 to 2015, there was change in the climate with few severe dry and wet years while no extreme climatic condition was noticed. Most of the years showed nearly normal climatic conditions. The predicted climate indicates an absence of extreme conditions up to 2045 but an increase in the annual humidity is expected. A low decrease in annual mean temperature with high confidence is expected. Decision-makers can better organize adaptation programs and sensitize people in the reserves on their role in environmental conservation and mitigation of climate change using these outputs.

Keywords

Climate change; drought, mitigation; pendjari; predictive analysis; reserves

Subject

Environmental and Earth Sciences, Environmental Science

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