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<p>As global interest in nature-based solutions grows, evaluating biomass carbon potential of traditional tree-based agroforestry systems is becoming crucial for understanding sustainable land-use management practices. Traditional agroforestry systems are integral to rural livelihood and ecological resilience in Arunachal Pradesh, yet their biomass carbon potential remains largely unexplored. This study assesses the vegetation dynamics, community characteristics, and woody biomass-carbon potential of 11 traditional agroforestry systems across three districts of Arunachal Pradesh, using a non-destructive approach (allometric equations). The study recorded 117 woody species belonging to 100 genera and 48 families growing in traditional agroforestry systems. Variations in woody biomass-carbon within different systems were observed, with agrisilviculture system showing the highest carbon sequestration potential (354.95 t C ha<sup>−1</sup>). The Shannon–Wiener index was recorded maximum in homegarden system (3.60), and lowest in oil palm-based system. Simpson’s dominance and Evenness index values were recorded maximum for oil palm-based systems. Margalef species richness index was highest in homegarden and homestead forest systems (11.08). Menhinick species richness index ranged from 3.20 in agri-silviculture system to 0.14 in Tea-based systems. Analysis of Normalized Difference Vegetation Index data (2013–2023) using remote sensing and GIS showed improved vegetation cover across all the districts, suggesting effective land management through gradual agroforestry expansion. The findings of the study contribute to the growing body of evidence supporting agroforestry practices as a viable strategy for enhancing carbon stocks while providing socio-economic benefits, highlighting the need for targeted management and the promotion of tree-based systems that integrate both fast and slow-growing species to optimise biomass accumulation and carbon storage in agroforestry landscapes.</p>

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Status of Tree Species Diversity and Woody Biomass Carbon Stock Across Traditional Agroforestry Systems in Eastern Himalaya, India

  • 期刊论文

  • 发表日期：

    2025年10月6日

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  • Mundeep Deuri,
  • Inda Mihu,
  • Silikta Manchey,
  • Tonlong Wangpan,
  • Homen Borah,
  • Ranjit Dutta,
  • Sumpam Tangjang

摘要

As global interest in nature-based solutions grows, evaluating biomass carbon potential of traditional tree-based agroforestry systems is becoming crucial for understanding sustainable land-use management practices. Traditional agroforestry systems are integral to rural livelihood and ecological resilience in Arunachal Pradesh, yet their biomass carbon potential remains largely unexplored. This study assesses the vegetation dynamics, community characteristics, and woody biomass-carbon potential of 11 traditional agroforestry systems across three districts of Arunachal Pradesh, using a non-destructive approach (allometric equations). The study recorded 117 woody species belonging to 100 genera and 48 families growing in traditional agroforestry systems. Variations in woody biomass-carbon within different systems were observed, with agrisilviculture system showing the highest carbon sequestration potential (354.95 t C ha−1). The Shannon–Wiener index was recorded maximum in homegarden system (3.60), and lowest in oil palm-based system. Simpson’s dominance and Evenness index values were recorded maximum for oil palm-based systems. Margalef species richness index was highest in homegarden and homestead forest systems (11.08). Menhinick species richness index ranged from 3.20 in agri-silviculture system to 0.14 in Tea-based systems. Analysis of Normalized Difference Vegetation Index data (2013–2023) using remote sensing and GIS showed improved vegetation cover across all the districts, suggesting effective land management through gradual agroforestry expansion. The findings of the study contribute to the growing body of evidence supporting agroforestry practices as a viable strategy for enhancing carbon stocks while providing socio-economic benefits, highlighting the need for targeted management and the promotion of tree-based systems that integrate both fast and slow-growing species to optimise biomass accumulation and carbon storage in agroforestry landscapes.