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المجالعلوم الغاباتعلوم الغابات
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1990s–2010s1990s–2010s
صاحب الطريقةChave, Niklas, and forest biometriciansBrown, Chave, and colleagues; IPCC consensus
النوعModel development and application pipelineInventory and quantification pipeline
المصدر التأسيسيChave, J., Andalo, C., Brown, S., et al. (2005). Tree Allometry and Improved Estimation of Carbon-Stock and Density in Tropical Forests. Oecologia, 145(1), 87–99. DOI ↗IPCC (2019). Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. CH4: Agriculture, Forestry and Other Land Use. link ↗
الأسماء البديلةBiomass allometry, Regression-based biomass prediction, Diameter-to-biomass conversionForest carbon accounting, Biomass-to-carbon conversion, Forest carbon flux assessment
ذات صلة44
الملخصAllometric equations predict tree above-ground or total biomass from easily measured tree dimensions—typically diameter at breast height (DBH), height, and wood density. Grounded in biological allometry (scaling laws) and codified by Chave, Niklas, and others, allometric equations are essential tools for rapid biomass assessment without tree harvesting. Used globally for carbon accounting, yield estimation, and ecosystem characterization.Forest carbon stock estimation quantifies the amount of carbon stored in tree biomass and other forest components, typically expressed in tonnes of carbon per hectare. Formalized by Brown, Chave, and international bodies such as the IPCC and FAO, this method is foundational for climate change mitigation accounting, carbon credits, and monitoring progress toward climate commitments. Accurate carbon assessment enables identification of high-priority reforestation areas and verification of carbon offset projects.
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  2. 4 المصادر
  3. PUBLISHED
  1. v1
  2. 4 المصادر
  3. PUBLISHED

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ScholarGateقارن الطرق: Allometric Biomass Equation · Carbon Stock Estimation in Forests. استُرجع بتاريخ 2026-06-19 من https://scholargate.app/ar/compare