Regression-Based Analysis of the Effects of Soil–Climate Interactions on Biological Growth Responses in Bayelsa State

Udoh; N. A.; George; L. E.

doi:10.56201/ijasmt.vol.12.no7.2026pg1.11

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Regression-Based Analysis of the Effects of Soil–Climate Interactions on Biological Growth Responses in Bayelsa State

Udoh, N. A., George, L. E.

Abstract

Climate change has created a need for quantitative models that can explain how environmental factors jointly influence biological growth responses. Crop productivity, environmental sustainability, and ecosystem functioning are greatly affected by interactions among certain soil properties and climatic factors. In this study, a regression-based model was used to analyzed the effects of soil-climate interactions on biological growth responses under climatic variability in Bayelsa State. The study adopted quasi-experimental design and the primary data were obtained from cayenne pepper (Capsicum frutescens) seedlings which were planted after 4 weeks nursery growth. Forty-five (45) observations from the following variables; plant height, soil pH, soil salinity, soil temperature, indoor temperature, and selected interaction terms were obtained and analyzed using Ordinary Least Squares regression. The results obtained showed that the model was statistically significant with F(7,37) = 4.549and p = 0.001. It also explained 46.3% of the variation in biological growth response (R2 = 0.463). Soil pH was observed to be the most influential predictor (p = 0.015), while soil and indoor temperatures showed negative correlations with growth. The proposed model provided a practical tool for environmental interaction analysis and can also be adapted to ecological, agricultural and biological systems operating under climatic variability.

Keywords

Biological growth responseSoil–climate interactionregression modellingclimatic variabilityenvironmental systemsagroecosystems

References

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Regression-Based Analysis of the Effects of Soil–Climate Interactions on Biological Growth Responses in Bayelsa State

Abstract

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