Forest Fire Regimes and Plant Diversity in Tropical Dry Deciduous Forests of Central India

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ABSTRACT Forest fires play a critical role in determining the ecological and vegetation dynamics of Central India’s deciduous forests. This study evaluates the impact of forest fire on plant diversity in a forest of Central India. Forest fire frequency was assessed using multi-temporal Landsat imagery (Landsat 5, 7, and 8) and validated with MODIS active fire products (MOD14/MYD14). The Phytosociological data were collected through field surveys in the Hoshangabad Forest Division, Madhya Pradesh, India. The results indicate that low fire frequency zones (LFZ) exhibit the highest species diversity and evenness, whereas high fire frequency zones (HFZ) show the lowest, suggesting fire plays a significant role in influencing forest composition. The moderate fire frequency zone (MFZ) shows an intermediate diversity pattern, supporting the intermediate disturbance hypothesis. Frequent fires in HFZ reduce species richness by favoring fire-resistant species such as Diospyros melanoxylon, which dominates across all fire zones, with the highest Importance Value Index (IVI) in HFZ (62.18). Tree density trends reveal that while HFZ has a slightly higher average density than non-fire zones, the reduced diversity suggests a shift toward homogeneous structure. The findings highlight the need for adaptive fire management strategies to balance biodiversity conservation in fire-prone landscapes. Focusing on the tropical dry deciduous forests of Central India, this study underscores the importance of region-specific and forest type-specific assessments, which are essential for developing fire management and biodiversity conservation strategies. This regional perspective not only adds significant value to India’s forest management discourse but also provides critical insights for forest policy and ecological restoration in dry deciduous landscapes, where recurrent fires strongly influence species diversity, forest structure, and regeneration patterns.

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  • Components
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Data_Sheet_1.docx
  • Dec 20, 2021

Abiotic factors are important to shape plant community composition and diversity through processes described as environmental filtering. Most studies on plant diversity in forests focus on adult trees, while the abiotic drivers of forest seedling community characteristics are less understood. Here, we studied seedling banks’ composition, richness, diversity, and abundance, and investigated their relationships with microsite abiotic conditions along a wide elevational gradient. We sampled seedling communities in 312 1-m2 quadrats, distributed in 13 one-ha plots in four subtropical forests in south China, covering an elevation gradient of 1500 meters, for two years. We measured light availability, slope, and 11 soil nutrients for each seedling quadrat. We used analysis of similarities and multivariate analysis of variance to compare the composition and abiotic drivers of the four forests’ seedling communities. We then used mixed models and structural equation modeling to test the direct and indirect effects of abiotic factors on seedling species richness, diversity, and abundance. The differences in seedling community composition among these forests were mostly explained by differences in elevations and soil nutrients. Seedling diversity as Shannon and Simpson diversity index decreased with increasing elevation and increased with increasing slope, but seedling abundance and species richness did not. Elevation had an indirect effect on Simpson’s diversity index through modulating the direct effects of soil properties. Our findings show that soil properties play a prominent role in favoring differentiation in species composition among the four forests we studied and provide additional evidence to decreasing species diversity with elevation. However, this was reflected in decreasing Shannon and Simpson indices rather than species richness, which is more commonly studied. Whether and to what extent future environmental changes in climate and soil acidification will alter future forest composition and diversity needs to be investigated.

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