Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries
Countries within the tropics face ongoing challenges in completing or updating their national forest inventories (NFIs), critical for estimating aboveground biomass (AGB) and for forest-related greenhouse gas (GHG) accounting. While previous studies have explored the integration of map information with local reference data to fill in data gaps, limited attention has been given to the specific challenges presented by the clustered plot designs frequently employed by NFIs when combined with remote sensing-based biomass map units. This research addresses these complexities by conducting four country case-studies, encompassing a variety of NFI characteristics within a range of AGB densities. Examining four country case-studies (Peru, Guyana, Tanzania, Mozambique), we assess the potential of European Space Agency's Climate Change Initiative (CCI) global biomass maps to increase precision in (sub)national AGB estimates. We compare a baseline approach using NFI field-based data with a model-assisted scenario incorporating a locally calibrated CCI biomass map as auxiliary information. The original CCI biomass maps systematically underestimate AGB in three of the four countries at both the country and stratum level, with particularly weak agreement at finer map resolution. However, after calibration with country-specific NFI data, stratum and country-level AGB estimates from the model-assisted scenario align well with those obtained solely from field-based data and official country reports. Introducing maps as a source of auxiliary information fairly increased the precision of stratum and country-wise AGB estimates, offering greater confidence in estimating AGB for GHG reporting purposes. Considering the challenges tropical countries face with implementing their NFIs, it is sensible to explore the potential benefits of biomass maps for climate change reporting mechanisms across biomes. While country-specific NFI design assumptions guided our model-assisted inference strategies, this study also uncovers transferable insights from the application of global biomass maps with NFI data, providing valuable lessons for climate research and policy communities.
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Global biomass map, Model-assisted inference, National forest inventory, Plot configuration, Sampling design, |
Online Access: | https://research.wur.nl/en/publications/global-biomass-maps-can-increase-the-precision-of-subnational-abo |
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dig-wur-nl-wurpubs-6324002024-10-02 Málaga, Natalia de Bruin, Sytze McRoberts, Ronald E. Næsset, Erik de la Cruz Paiva, Ricardo Olivos, Alexs Arana Montesinos, Patricia Durán Baboolall, Mahendra Odorico, Hercilo Sancho Carlos Soares, Muri Gonçalves Joã, Sérgio Simão Zahabu, Eliakimu Silayo, Dos Santos Herold, Martin Article/Letter to editor Science of the Total Environment 947 (2024) ISSN: 0048-9697 Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries 2024 Countries within the tropics face ongoing challenges in completing or updating their national forest inventories (NFIs), critical for estimating aboveground biomass (AGB) and for forest-related greenhouse gas (GHG) accounting. While previous studies have explored the integration of map information with local reference data to fill in data gaps, limited attention has been given to the specific challenges presented by the clustered plot designs frequently employed by NFIs when combined with remote sensing-based biomass map units. This research addresses these complexities by conducting four country case-studies, encompassing a variety of NFI characteristics within a range of AGB densities. Examining four country case-studies (Peru, Guyana, Tanzania, Mozambique), we assess the potential of European Space Agency's Climate Change Initiative (CCI) global biomass maps to increase precision in (sub)national AGB estimates. We compare a baseline approach using NFI field-based data with a model-assisted scenario incorporating a locally calibrated CCI biomass map as auxiliary information. The original CCI biomass maps systematically underestimate AGB in three of the four countries at both the country and stratum level, with particularly weak agreement at finer map resolution. However, after calibration with country-specific NFI data, stratum and country-level AGB estimates from the model-assisted scenario align well with those obtained solely from field-based data and official country reports. Introducing maps as a source of auxiliary information fairly increased the precision of stratum and country-wise AGB estimates, offering greater confidence in estimating AGB for GHG reporting purposes. Considering the challenges tropical countries face with implementing their NFIs, it is sensible to explore the potential benefits of biomass maps for climate change reporting mechanisms across biomes. While country-specific NFI design assumptions guided our model-assisted inference strategies, this study also uncovers transferable insights from the application of global biomass maps with NFI data, providing valuable lessons for climate research and policy communities. en application/pdf https://research.wur.nl/en/publications/global-biomass-maps-can-increase-the-precision-of-subnational-abo 10.1016/j.scitotenv.2024.174653 https://edepot.wur.nl/670101 Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design |
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Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design Málaga, Natalia de Bruin, Sytze McRoberts, Ronald E. Næsset, Erik de la Cruz Paiva, Ricardo Olivos, Alexs Arana Montesinos, Patricia Durán Baboolall, Mahendra Odorico, Hercilo Sancho Carlos Soares, Muri Gonçalves Joã, Sérgio Simão Zahabu, Eliakimu Silayo, Dos Santos Herold, Martin Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
description |
Countries within the tropics face ongoing challenges in completing or updating their national forest inventories (NFIs), critical for estimating aboveground biomass (AGB) and for forest-related greenhouse gas (GHG) accounting. While previous studies have explored the integration of map information with local reference data to fill in data gaps, limited attention has been given to the specific challenges presented by the clustered plot designs frequently employed by NFIs when combined with remote sensing-based biomass map units. This research addresses these complexities by conducting four country case-studies, encompassing a variety of NFI characteristics within a range of AGB densities. Examining four country case-studies (Peru, Guyana, Tanzania, Mozambique), we assess the potential of European Space Agency's Climate Change Initiative (CCI) global biomass maps to increase precision in (sub)national AGB estimates. We compare a baseline approach using NFI field-based data with a model-assisted scenario incorporating a locally calibrated CCI biomass map as auxiliary information. The original CCI biomass maps systematically underestimate AGB in three of the four countries at both the country and stratum level, with particularly weak agreement at finer map resolution. However, after calibration with country-specific NFI data, stratum and country-level AGB estimates from the model-assisted scenario align well with those obtained solely from field-based data and official country reports. Introducing maps as a source of auxiliary information fairly increased the precision of stratum and country-wise AGB estimates, offering greater confidence in estimating AGB for GHG reporting purposes. Considering the challenges tropical countries face with implementing their NFIs, it is sensible to explore the potential benefits of biomass maps for climate change reporting mechanisms across biomes. While country-specific NFI design assumptions guided our model-assisted inference strategies, this study also uncovers transferable insights from the application of global biomass maps with NFI data, providing valuable lessons for climate research and policy communities. |
format |
Article/Letter to editor |
topic_facet |
Global biomass map Model-assisted inference National forest inventory Plot configuration Sampling design |
author |
Málaga, Natalia de Bruin, Sytze McRoberts, Ronald E. Næsset, Erik de la Cruz Paiva, Ricardo Olivos, Alexs Arana Montesinos, Patricia Durán Baboolall, Mahendra Odorico, Hercilo Sancho Carlos Soares, Muri Gonçalves Joã, Sérgio Simão Zahabu, Eliakimu Silayo, Dos Santos Herold, Martin |
author_facet |
Málaga, Natalia de Bruin, Sytze McRoberts, Ronald E. Næsset, Erik de la Cruz Paiva, Ricardo Olivos, Alexs Arana Montesinos, Patricia Durán Baboolall, Mahendra Odorico, Hercilo Sancho Carlos Soares, Muri Gonçalves Joã, Sérgio Simão Zahabu, Eliakimu Silayo, Dos Santos Herold, Martin |
author_sort |
Málaga, Natalia |
title |
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
title_short |
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
title_full |
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
title_fullStr |
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
title_full_unstemmed |
Global biomass maps can increase the precision of (sub)national aboveground biomass estimates : A comparison across tropical countries |
title_sort |
global biomass maps can increase the precision of (sub)national aboveground biomass estimates : a comparison across tropical countries |
url |
https://research.wur.nl/en/publications/global-biomass-maps-can-increase-the-precision-of-subnational-abo |
work_keys_str_mv |
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