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@article{190012,
        author = {Ayan Banerjee and Tulika Ghosh},
        title = {Geo-Botanical Modeling: Conceptual Approaches and Limitations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2337-2341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190012},
        abstract = {Geo-botanical modeling represents an integrative theoretical framework that examines the spatial distribution of vegetation in relation to geographical factors such as climate, soil, topography, and human influence. This article explores the conceptual foundations of geo-botanical modeling, emphasizing its roots in plant geography, landscape ecology, and spatial analysis. The study aims to critically analyze major conceptual approaches including deterministic, probabilistic, and systems-based models and to assess their applicability in understanding vegetation–environment relationships across different spatial scales. Geo-botanical models have proven valuable in explaining patterns of plant distribution, biodiversity gradients, and ecosystem dynamics, particularly under changing climatic conditions (Odum, 1983; Whittaker, 1975). However, the article also highlights key limitations, such as data scarcity, scale dependency, oversimplification of biotic interactions, and challenges in incorporating anthropogenic factors into theoretical models (Turner, Gardner, & O’Neill, 2001). By synthesizing existing theoretical perspectives, this paper underscores the need for interdisciplinary integration and improved spatial data frameworks. The discussion contributes to a deeper theoretical understanding of geo-botanical modeling and its relevance for ecological research, conservation planning, and sustainable land management.},
        keywords = {Biogeography, Geo-botanical modeling, Spatial ecology, Vegetation distribution.},
        month = {January},
        }