Predictive modeling of the rate of occurrence favorable to Cola attiensis
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Climate change poses a pressing challenge to the distribution patterns of plant species, necessitating innovative approaches to predict occurrence rates in affected ecosystems. In this study, we focus on Cola attiensis, an economically and ecologically important plant species endemic to Cu00f4te du2019Ivoire. Our novel methodology employs a nomogram, traditionally used for intricate mathematical equations, to model the intricate relationships between topographic, climatic variables, and the presence of C. attiensis.
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Predictive modeling of the rate of occurrence favorable to Cola attiensis
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