Species distribution modelling of Cephaleuros parasiticus Karst in India using maximum entropy model

Das, Pratisha and Baruah, Partha Pratim and Kalita, Nilotpal and Sahariah, Dhrubajyoti (2024) Species distribution modelling of Cephaleuros parasiticus Karst in India using maximum entropy model. ECOCYCLES, 10 (2). pp. 5-13. ISSN 2416-2140

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Abstract

Cephaleuros parasiticus Karst, a parasitic green alga that causes severe damage to agricultural and horticulture crops needs a critical understanding of its dispersion patterns to develop an effective management strategy. This work aimed to examine the potential distribution of C. parasiticus Karst in India using maximum entropy (MaxEnt) modelling strategy. The species occurrence data were gathered from several places across India. Using MaxEnt, these occurrence records were linked with environmental characteristics such as climatic, topographic indicators to create a predictive distribution model. The model's performance was assessed using the Area Under the Curve (AUC) and visualized using distribution maps. This algal pathogen is most commonly found in tropical and subtropical areas with high humidity and warm temperatures; and in our study, the MaxEnt model accurately anticipated the algal parasite's potential distribution, suggesting its appropriateness for ecological niche modelling. The most relevant environmental variables were observed to be slope, Mean Diurnal Range (BIO2), Land Use and Land Cover (LULC), Precipitation seasonality (BIO15) and Annual precipitation (BIO12), providing insights into the species' ecological requirements and preferences. In addition, the analysis highlighted possible high-risk areas in Assam, West Bengal, Tamil Nadu, Kerala, Karnataka and Eastern and south western coastal lines of India for this algal parasite invasion, highlighting places that require immediate attention for prevention and management techniques. The results of this research will be beneficial in the management of ecological impacts of C. parasiticus Karst in India and other regions with similar environmental conditions.

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