Ecological niche modelling of Cantharellus species in Benin, and revision of their conservation status

Dramani, Ramdan; Gouwakinnou, Gérard Nounagnon; Houdanon, Roël D.; Kesel, André De; Minter, D. W.; Yorou, Nourou S.

doi:10.1016/j.funeco.2022.101174

Cited by 2 publications

(1 citation statement)

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“…These authors argued that, intervariable correlations are salient statistical information to characterize probabilities of climate events and compound events concurrently. Furthermore, correlation analysis is widely performed [27][28][29] as preliminary step in ecological niche modelling since it makes it possible to identify variables which would drive similar patterns to avoid overcharging models with predictors. All these statistical analyses were performed using the statistical computing programming language R v4.1.2 [26] through the integrated development environment Rstudio [30].…”

Section: Correlation Between Climatic Variablesmentioning

confidence: 99%

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

Dossou-Yovo,

Osseni,

Al-Robai

et al. 2023

Preprint

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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.

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Section: Correlation Between Climatic Variablesmentioning

confidence: 99%