Effect of Forest Fire on Tree Species Diversity in the Tropical Dry Deciduous Forest of Nauradehi Wildlife Sanctuary, Madhya Pradesh, Central India

Malasiya, Dinesh; Ray, Tapas; Verma, Satyam; Rajpoot, Radha; Maurya, Devanand; Kumar, Tinku; Khare, P. K.; Khan, Mohammed Latif

doi:10.55863/ijees.2022.0120

Cited by 3 publications

(2 citation statements)

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“…Conversely, researchers reported non-linear trends in tree diversity in response to fire frequency, with fluctuations observed across different fire severity classes [34]. Specifically, researchers noted an increase in tree diversity and basal area in low-frequency zones, while medium and high-severity zones exhibited initial decreases in tree diversity followed by subsequent increases in high-severity zones [34]. These studies highlight the importance of comprehending the heterogeneous effects of forest fire occurrences on vegetation across various sites in central India, facilitating the implementation of site-specific mitigation strategies to counteract detrimental impacts.…”

Section: Introductionmentioning

confidence: 99%

“…On one hand, researchers found that forest fire hotspots in central India exhibited comparatively lower tree density and dominance, indicating a negative effect on vegetation recovery [33]. Conversely, researchers reported non-linear trends in tree diversity in response to fire frequency, with fluctuations observed across different fire severity classes [34]. Specifically, researchers noted an increase in tree diversity and basal area in low-frequency zones, while medium and high-severity zones exhibited initial decreases in tree diversity followed by subsequent increases in high-severity zones [34].…”

Section: Introductionmentioning

confidence: 99%

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Mapping Forest Fire-affected Areas Using Advanced Machine Learning Techniques in Damoh District of Central India

Moharir,

Manpreet Singh,

Pande

et al. 2024

Kbes

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Forest fires can cause calamitous damage to the forest ecosystems and may affect climatic parameters, such as temperature, evapotranspiration, and precipitation by catalyzing changes in the local ecology of the region. The main research objective of this work was to quantify the different indices as well as to identify the changes in years 2011 and 2020 in pre- and post-fire, these parameters, such as Normalized Difference Vegetation Index (NDVI), Land Surface Temperature (LST) and Normalized Burn Ratio Index (NBR), associated with the severity of forest fires in the Damoh district of Madhya Pradesh. An attempt has been also made to understand the interrelationship of these parameters to gauge how these may correlate to determine the sensitivity to forest fires. In this context, we have incorporated advanced GIS methods for the identification of the pre-post fires for 2011 and 2020 year from Landsat 5 and Landsat 8 OLI/TIRS level -1 and Random Forest (RF) model in the Google Earth Engine (GEE) platform. Land Use Land Cover (LULC) map was categorized into five classes based on the satellite data sets. Our findings indicate elevated Land Surface Temperature (LST) values in the Northern and Central regions of the study area, reaching 32.0°C before the fire event. Subsequently, following the fire incident in the year 2011, LST escalated to 39.0°C. Similarly, in the southern and south-eastern regions of the Damoh district, LST peaked at approximately 43.0°C coinciding with the onset of a forest fire in 2020. Furthermore, our analysis revealed a negative correlation between the Normalized Difference Vegetation Index (NDVI) and LST, whereas the Normalized Burn Ratio (NBR) displayed a positive correlation with LST. These results underscore the impact of LST on forest vegetation dynamics, with LST nearing 39.0°C indicating an increased risk of forest fires. The results of this study can be used by local administration to devise an efficient policy related to forest fire management.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mapping Forest Fire-affected Areas Using Advanced Machine Learning Techniques in Damoh District of Central India

Moharir,

Manpreet Singh,

Pande

et al. 2024

Kbes

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Impacts of forest fire frequency on structure and composition of tropical moist deciduous forest communities of Bandhavgarh Tiger Reserve, Central India

Pati,

Kaushik,

Malasiya

et al. 2024

Trees, Forests and People

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Regeneration status, biomass and carbon stock of Tectona grandis in tropical moist deciduous forests of Kamrup Metropolitan district, Assam, Northeast India

Kalita,

Yumnam

2024

Indian J. Forest.

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The present study broadly focused on regeneration status, biomass, and carbon stock of Tectona grandis (teak) in three tropical moist deciduous forests, viz. Fatasil Reserve Forest (FRF), Gotanagar Reserve Forest (GRF), and Jalukbari Reserve Forest (JRF) of Kamrup Metropolitan district, Assam, Northeast India. The stratified random quadrat method was employed and individual no. of adult trees, saplings, and seedlings in the quadrats, and girth at breast height (GBH) of adult trees were recorded and used for calculating density and basal area respectively. Regeneration status was checked from the densities of seedlings, saplings, and adult trees. An allometric formula was employed to calculate biomass and carbon stock of the species. Teak exhibited good regeneration status (seedlings>saplings>adult trees) in JRF and GRF, while fair regeneration status (seedlings>saplings<adult trees) has been observed in FRF. Moreover, the study displayed the major contributions of teak in biomass (47.07-163.48 Mg ha-¹), carbon stock (22.12-76.83 Mg C ha-¹), and CO₂ equivalent (81.19-281.98 Mg ha-¹) in the study sites. Therefore, the study is fundamental for intending a conservation strategy for teak and to raise awareness among the local people about its significance in mitigating global warming and climate change.

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Effect of Forest Fire on Tree Species Diversity in the Tropical Dry Deciduous Forest of Nauradehi Wildlife Sanctuary, Madhya Pradesh, Central India

Cited by 3 publications

References 0 publications

Mapping Forest Fire-affected Areas Using Advanced Machine Learning Techniques in Damoh District of Central India

Mapping Forest Fire-affected Areas Using Advanced Machine Learning Techniques in Damoh District of Central India

Impacts of forest fire frequency on structure and composition of tropical moist deciduous forest communities of Bandhavgarh Tiger Reserve, Central India

Regeneration status, biomass and carbon stock of Tectona grandis in tropical moist deciduous forests of Kamrup Metropolitan district, Assam, Northeast India

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