Spatial Mapping of Ethno Medicinal Knowledge with Specific Reference to Bacopa monnieri (L.) Pennell in India

Authors

  • Faseela Valiyakattil Sainuddin CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581
  • Athira Kakkara CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581
  • Saroj Kumar Vasundharan CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581
  • Sooraj Nediya Parambath CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581
  • Sajeev Chellamma Rajan CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581
  • Jaishanker Raghunathan CV Raman Laboratory of Ecological Informatics, Indian Institute of Information Technology and Management – Kerala, IIITM-K Building, Karyavattom 695581

DOI:

https://doi.org/10.5530/jams.2017.2.18

Keywords:

Brahmi, Ethno botany, GIS, Traditional knowledge

Abstract

Introduction: This review consolidates reported ethnomedical uses of B.monnieri, which are currently dispersed, on a spatial platform. Methods: The ethnic medicinal uses of B.monnieri across several local communities and ethnic groups in India were mapped on Quantum GIS 2.10.1-Pisa (Q.GIS) and Google earth. Results: The present study resulted in the spatial documentation of B. monnieri in India. The spatial database reposits ethnomedical knowledge specific to B. monnieri nurtured within one hundred and twenty one communities in fifty three locations. The plant is identified in more than twenty different vernacular names. Conclusion: Traditional knowledge mapping associated with B.monnieri in India provides opportunities for meta-analysis of ethnomedical database and heralds new possibilities in knowledge discovery.

PICTORAL ABSTRACT

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Published

2017-07-01