Determining geo-ecological parameters for designing Desha wise map of Belgaum district and assessment of Prakriti predominance - A cross sectional study

Authors

  • Vinod Gurav KLE Academy of Higher Education and Research, Deemed to be University, Shri BMK Ayurveda Mahavidyalaya, Shahpur, Belagavi, Karnataka, India
  • BS Prasad NCISM
  • PT Hanamgond Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.
  • Suraj Mesne Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.

DOI:

https://doi.org/10.70066/jahm.v13i5.1831

Keywords:

Desha, Dosha, Prakriti, Geo-ecology, Mapping,

Abstract

Introduction: In clinical practice, Bhumi Desha, or a person's geographical territory or habitat, aids in diagnosing, treating, and predicting a patient's condition as well as determining their Prakriti, or body constitution. The criteria used for evaluating Bhumi Desha (geographical land) in the classics were too general and are not used in modern practice. Due to the diverse ecosystem of the Belagavi district, the regions must be accurately identified and mapped into distinct geographical areas. Methods: The best Bhumi Desha (geographical land) was determined by a cross-sectional study, which included Sadharana Desha (mixed land), Anupa Desha (wet fields), and Jangala Desha (dry lands). The Google Earth tool was then used to map these geo-geographical places into different Bhumi Desha based on the parameters that were collected. To assess the pradhana prakriti, around 4767 participants were selected by a random sampling method (lottery method) from 15 distinct geo-geographic regions of the Belagavi district. Results: There were 10.91% wet land, 21.86% mixed land, and 67.22% dry land was found. Discussion: It was found that there is a significant association between ‘Desha’ (geographical land) and ‘Prakriti’ (body constitution) (P-value < 0.001) at a 5% level of significance. Vata pradhana prakriti people were more prevalent in dry areas, Kapha pradhana prakriti people were more prevalent in wet/damp areas, and Samadhatuja prakriti people were more prevalent in Sadharana Desha. Conclusion: The goal of this study was to examine the person's Primary prakriti and Desha characteristics. The Bhumi desha-wise map that was created showed each of the three categories of Dehsa. The results of the current study showed a significant relationship between Desha and Prakriti, with a P-value of less than 0.001.

Author Biographies

Vinod Gurav, KLE Academy of Higher Education and Research, Deemed to be University, Shri BMK Ayurveda Mahavidyalaya, Shahpur, Belagavi, Karnataka, India

Professor, Affiliated to KAHER, Belagavi, Department of Kriya Sharira, KLE Academy of Higher Education and Research, Deemed to be University, Shri BMK Ayurveda Mahavidyalaya, Shahpur, Belagavi, Karnataka, India

BS Prasad, NCISM

Professor and President Board of Ayurveda NCISM New Delhi

PT Hanamgond, Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.

Professor and Head, Department of Geology, Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.

Suraj Mesne, Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.

Professor, Department of Geology, Govindram Seksaria Science College (GSS) college, Belagavi, Karnataka, India. Affiliated with Rani Channamma University, Belagavi.

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Additional Files

Published

2025-06-19

How to Cite

Gurav, V., Prasad, B. ., Hanamgond, P. . ., & Mesne, S. . (2025). Determining geo-ecological parameters for designing Desha wise map of Belgaum district and assessment of Prakriti predominance - A cross sectional study. Journal of Ayurveda and Holistic Medicine (JAHM), 13(5), 29-38. https://doi.org/10.70066/jahm.v13i5.1831

Issue

Section

Clinical Research- Cross Sectional Study