Forests in the Eastern Himalaya play a key role in carbon sequestration; yet, limitations of long-term data constrain comprehensive assessments of aboveground biomass (AGB) and forest productivity over time. To address this gap, we used tree rings as proxy data to analyze the basal area increment (BAI) and AGB over the last four decades in three Cryptomeria japonica forest sites in the Fambonglho Wildlife Sanctuary, East Sikkim, India, using 90 tree core samples from 45 trees. Results showed common site-specific variability in BAI and AGB over time, with growth rates ranging from site-specific growth trends (BAI range 1–54 cm²). Stand-level AGB consistently increased from 15 to 19.80 t ha⁻¹ between 1990 and 2015 CE. Moderate seasonal correlations were observed between spring-seasons' (March-May) normalized difference vegetation index (NDVI) and AGB at two sites, suggesting a link between vegetation growth and biomass production. Additionally, a stronger and statistically significant correlation was observed at high-frequency temporal scales, indicating that fine-scale tree-ring derived AGB captures short-term fluctuations in biomass accumulation and photosynthetic activity. The findings highlight the value of integrating ground-based AGB estimates with remote sensing data to monitor forest productivity. This combined approach provides a practical and scalable framework for assessing site-specific forest performance and supports data-driven decision-making for carbon monitoring, climate change adaptation, and sustainable forest management in the Eastern Himalaya.
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