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Estimating aboveground net biomass change for tropical and subtropical forests: Refinement of IPCC default rates using forest plot data

تقدير صافي تغير الكتلة الحيوية فوق الأرض للغابات الاستوائية وشبه الاستوائية: صقل المعدلات الافتراضية للفريق الحكومي الدولي المعني بتغير المناخ باستخدام بيانات قطع الغابات
Authors: Esteban Álvarez-Dávila; Bonaventure Sonké; Luzmila Arroyo; Ted R. Feldpausch; Martin J. P. Sullivan; Martin Herold; Susan C. Cook-Patton; +30 Authors

Estimating aboveground net biomass change for tropical and subtropical forests: Refinement of IPCC default rates using forest plot data

Abstract

AbstractAs countries advance in greenhouse gas (GHG) accounting for climate change mitigation, consistent estimates of aboveground net biomass change (∆AGB) are needed. Countries with limited forest monitoring capabilities in the tropics and subtropics rely on IPCC 2006 default ∆AGB rates, which are values per ecological zone, per continent. Similarly, research into forest biomass change at a large scale also makes use of these rates. IPCC 2006 default rates come from a handful of studies, provide no uncertainty indications and do not distinguish between older secondary forests and old‐growth forests. As part of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, we incorporate ∆AGB data available from 2006 onwards, comprising 176 chronosequences in secondary forests and 536 permanent plots in old‐growth and managed/logged forests located in 42 countries in Africa, North and South America and Asia. We generated ∆AGB rate estimates for younger secondary forests (≤20 years), older secondary forests (>20 years and up to 100 years) and old‐growth forests, and accounted for uncertainties in our estimates. In tropical rainforests, for which data availability was the highest, our ∆AGB rate estimates ranged from 3.4 (Asia) to 7.6 (Africa) Mg ha−1 year−1 in younger secondary forests, from 2.3 (North and South America) to 3.5 (Africa) Mg ha−1 year−1 in older secondary forests, and 0.7 (Asia) to 1.3 (Africa) Mg ha−1 year−1 in old‐growth forests. We provide a rigorous and traceable refinement of the IPCC 2006 default rates in tropical and subtropical ecological zones, and identify which areas require more research on ∆AGB. In this respect, this study should be considered as an important step towards quantifying the role of tropical and subtropical forests as carbon sinks with higher accuracy; our new rates can be used for large‐scale GHG accounting by governmental bodies, nongovernmental organizations and in scientific research.

Countries
France, United Kingdom, Netherlands, United Kingdom, United Kingdom, United Kingdom, United Kingdom, United Kingdom, United Kingdom, France, Netherlands, Germany, United Kingdom, France, United Kingdom
Keywords

Biomass (ecology), forêt exploitée, SUCCESSION, Biomasa, forêt tropicale, Forests, 551, biomasse aérienne des arbres, Laboratory of Geo-information Science and Remote Sensing, K01 - Foresterie - Considérations générales, SDG 13 - Climate Action, secondary forests, Climate change, Biomass, Managed and logged forests, General Environmental Science, Global and Planetary Change, Leerstoelgroep Plantaardige productiesystemen, Geography, RECOVERY, PE&RC, production de biomasse, climate change, BALANCE, Physical Sciences, Secondary forests, C180 Ecology, CARBON STOCKS, old-growth forests, (Sub)tropical forests, http://aims.fao.org/aos/agrovoc/c_adfffd29, Leerstoelgroep Bosecologie en bosbeheer, Gases de efecto invernadero, 333, Environmental science, managed and logged forests, Laboratorium voor Geo-informatiekunde en remote sensing, Bosecologie en Bosbeheer, Tropical and subtropical moist broadleaf forests, Biology, Nature and Landscape Conservation, 580, C150 Environmental Biology, Science & Technology, biomass, Bosque secundario, Research Reviews, Carbon Balance, Global Forest Drought Response and Climate Change, QK, Secondary forest, Tropics, 06 Biological Sciences, Forest Ecology and Forest Management, Carbon, Plantaardige Productiesystemen, FOS: Biological sciences, Africa, Environmental Science, Biomass change, Biodiversity & Conservation, 05 Environmental Sciences, 910, Estimation of Forest Biomass and Carbon Stocks, Trees, Aboveground Biomass, Environmental Science(all), Cambio climático, Old-growth forests, Mitigación del cambio climático, global ecological zones, changement climatique, Ecology, IPCC, biomass change, C150 - Environmental biology, http://aims.fao.org/aos/agrovoc/c_1374840486107, STATE, environnement, Tropical Asia, old‐growth forests, Plant Production Systems, Biodiversity Conservation, Global Vegetation Models, http://aims.fao.org/aos/agrovoc/c_1373987680230, Crop and Weed Ecology, Tree Height-Diameter Models, Life Sciences & Biomedicine, Biomass Estimation, Asia, Rainforest, http://aims.fao.org/aos/agrovoc/c_28144, Environmental Sciences & Ecology, Greenhouse gas, QK Botany, http://aims.fao.org/aos/agrovoc/c_2593, http://aims.fao.org/aos/agrovoc/c_24904, greenhouse gases, MANAGEMENT, Environmental Chemistry, http://aims.fao.org/aos/agrovoc/c_1666, Laboratorium voor Geo-informatiekunde en Remote Sensing, (sub)tropical forests, Agroforestry, Tropical Climate, CHRONOSEQUENCE, South America, Subtropics, Global ecological zones, C180 - Ecology, Global Methane Emissions and Impacts, forêt secondaire, Environmental Sciences

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    93
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
93
Top 1%
Top 10%
Top 1%
Green
hybrid