Estimating aboveground net biomass change for tropical and subtropical forests: Refinement of IPCC default rates using forest plot data
-
- Daniela Requena Suarez
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University and Research Wageningen The Netherlands
-
- Danaë M. A. Rozendaal
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University and Research Wageningen The Netherlands
-
- Veronique De Sy
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University and Research Wageningen The Netherlands
-
- Oliver L. Phillips
- School of Geography University of Leeds Leeds UK
-
- Esteban Alvarez‐Dávila
- Escuela de Ciencias agrícolas, pecuarias y ambientales Universidad Nacional Abierta y a Distancia Bogota Colombia
-
- Kristina Anderson‐Teixeira
- Conservation Ecology Center Smithsonian Conservation Biology Institute Front Royal VR USA
-
- Alejandro Araujo‐Murakami
- Museo de Historia Natural Noel Kempff Mercado Universidad Autónoma Gabriel René Moreno Santa Cruz Bolivia
-
- Luzmila Arroyo
- Universidad Autónoma Gabriel René Moreno Santa Cruz Bolivia
-
- Timothy R. Baker
- School of Geography University of Leeds Leeds UK
-
- Frans Bongers
- Forest Ecology and Forest Management Group Wageningen University and Research Wageningen The Netherlands
-
- Roel J. W. Brienen
- School of Geography University of Leeds Leeds UK
-
- Sarah Carter
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University and Research Wageningen The Netherlands
-
- Susan C. Cook‐Patton
- The Nature Conservancy Arlington VR USA
-
- Ted R. Feldpausch
- Geography College of Life and Environmental Sciences University of Exeter Exeter UK
-
- Bronson W. Griscom
- The Nature Conservancy Arlington VR USA
-
- Nancy Harris
- World Resources Institute Washington DC USA
-
- Bruno Hérault
- CIRAD, UR Forests & Societies University of Montpellier Montpellier France
-
- Eurídice N. Honorio Coronado
- Instituto de Investigaciones de la Amazonía Peruana Iquitos Peru
-
- Sara M. Leavitt
- The Nature Conservancy Arlington VR USA
-
- Simon L. Lewis
- School of Geography University of Leeds Leeds UK
-
- Beatriz S. Marimon
- Campus de Nova Xavantina Universidade do Estado de Mato Grosso Nova Xavantina Brazil
-
- Abel Monteagudo Mendoza
- Jardín Botánico de Missouri Oxapampa Peru
-
- Justin Kassi N'dja
- UFR Biosciences Laboratoire de Botanique Université Félix Houphouet‐Boigny Abidjan Ivory Coast
-
- Anny Estelle N'Guessan
- UFR Biosciences Laboratoire de Botanique Université Félix Houphouet‐Boigny Abidjan Ivory Coast
-
- Lourens Poorter
- Forest Ecology and Forest Management Group Wageningen University and Research Wageningen The Netherlands
-
- Lan Qie
- School of Life Sciences University of Lincoln Lincoln UK
-
- Ervan Rutishauser
- Center for Tropical Forest Science‐Forest Global Earth Observatory Smithsonian Tropical Research Institute Panama Republic of Panama
-
- Plinio Sist
- CIRAD, UR Forests & Societies University of Montpellier Montpellier France
-
- Bonaventure Sonké
- Plant Systematic and Ecology Laboratory University of Yaoundé Yaoundé Cameroon
-
- Martin J. P. Sullivan
- School of Geography University of Leeds Leeds UK
-
- Emilio Vilanova
- Universidad de Los Andes Mérida Venezuela
-
- Maria M. H. Wang
- Department of Animal & Plant Sciences University of Sheffield Sheffield UK
-
- Christopher Martius
- Center for International Forestry Research (CIFOR) Bogor Indonesia
-
- Martin Herold
- Laboratory of Geo‐Information Science and Remote Sensing Wageningen University and Research Wageningen The Netherlands
Description
<jats:title>Abstract</jats:title><jats:p>As 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<jats:sup>−1</jats:sup> year<jats:sup>−1</jats:sup> in younger secondary forests, from 2.3 (North and South America) to 3.5 (Africa) Mg ha<jats:sup>−1</jats:sup> year<jats:sup>−1</jats:sup> in older secondary forests, and 0.7 (Asia) to 1.3 (Africa) Mg ha<jats:sup>−1</jats:sup> year<jats:sup>−1</jats:sup> 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.</jats:p>
Journal
-
- Global Change Biology
-
Global Change Biology 25 (11), 3609-3624, 2019-08-16
Wiley
- Tweet
Details 詳細情報について
-
- CRID
- 1360861715140394240
-
- ISSN
- 13652486
- 13541013
-
- Data Source
-
- Crossref