Molecular evidence has been unearthed of massive wildfires that swept across ancient Gondwana forests nearly 250 million years ago, thereby shaping Earth’s climate, vegetation, and coal-forming environments.
Macrocharcoal-based palaeofire research in Indian Permian sediments provided the first tangible evidence of palaeofire activity at a broader scale.
Based on these results, researchers began identifying distinctions between various forms of microcharcoal particles within Permian sedimentary sequences, highlighting the potential for more detailed, high-resolution fire reconstructions.
It was, however, noted that the scarcity of molecular methods used in palaeofire research was a major challenge, especially for distinguishing between various forms of microcharcoal particles, particularly OX-CH (oxidised opaque phytoclasts) and PAL-CH (fire-induced opaque phytoclasts).
In earlier studies, reliance was mostly on microscopic observations, which, though informative, introduced considerable ambiguity in interpreting the origin and nature of charcoal particles.
Realising this gap, the researchers from Birbal Sahni Institute of Palaeosciences (BSIP), an autonomous institute of the Department of Science and Technology (DST) used a novel multi-proxy approach integrating a technique called palynofacies analysis (study of tiny organic matter preserved in sedimentary rocks) with advanced molecular methods such as Raman spectroscopy and Fourier Transform Infrared (FTIR) spectroscopy to reconstruct Permian palaeofire events from Gondwana coal-bearing sediments of the Godavari Valley Coalfield, India.

Fig: Graphical abstract illustrating an integrated palynological and molecular approach to decipher Permian palaeofire activity in Godavari Valley Coalfield using Raman and FTIR Spectroscopy
By combining microscopic and molecular-scale observations, the team, consisting of Neha Aggarwal, Shivalee Srivastava, and Runcie Paul Mathews, bridged a critical gap between visual identification of palaeofire residues and their geochemical characterisation.
The main result of the work is the identification and distinction between high-intensity (h-PAL-CH) and low-intensity (l-PAL-CH) palaeofire-derived microcharcoal particles, based on their morphological, state-of-preservation, and optical characteristics.
These results were also supported by molecular signatures of combustion, such as well-developed second-order Raman spectral features indicating structural ordering (Poly Aromatic Hydrocarbons: PAHs) in carbonaceous material, and diagnostic FTIR functional groups indicative of thermal alteration pathways.
The combination of palynological data and spectroscopic signatures facilitates stronger, more accurate identification of fire-induced organic matter and enhances understanding of ancient wildfire regimes during the Permian period.
The study published in the Geological Journal (Wiley) can help create more accurate models of long-term climate change by reconstructing the palaeoenvironment of Gondwana basins, and this could be crucial in forecasting future changes in the environment and the behaviour of ecosystems to extreme events such as palaeowildfires that are becoming more pertinent in the changing climate.








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