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Forest degradation and biomass loss along the Chocó region of Colombia
BACKGROUND: Wet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species. With increasing pressure of degradation and deforestation, these forests have been prioritized for conservation and carbon offset through Reducing Emissions f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446973/ https://www.ncbi.nlm.nih.gov/pubmed/30904964 http://dx.doi.org/10.1186/s13021-019-0117-9 |
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author | Meyer, Victoria Saatchi, Sassan Ferraz, António Xu, Liang Duque, Alvaro García, Mariano Chave, Jérôme |
author_facet | Meyer, Victoria Saatchi, Sassan Ferraz, António Xu, Liang Duque, Alvaro García, Mariano Chave, Jérôme |
author_sort | Meyer, Victoria |
collection | PubMed |
description | BACKGROUND: Wet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species. With increasing pressure of degradation and deforestation, these forests have been prioritized for conservation and carbon offset through Reducing Emissions from Deforestation and forest Degradation (REDD+) mechanisms. We provide the first regional assessment of forest structure and aboveground biomass using measurements from a combination of ground tree inventories and airborne Light Detection and Ranging (Lidar). More than 80,000 ha of lidar samples were collected based on a stratified random sampling to provide a regionally unbiased quantification of forest structure of Chocó across gradients of vegetation structure, disturbance and elevation. We developed a model to convert measurements of vertical structure of forests into aboveground biomass (AGB) for terra firme, wetlands, and mangrove forests. We used the Random Forest machine learning model and a formal uncertainty analysis to map forest height and AGB at 1-ha spatial resolution for the entire pacific coastal region using spaceborne data, extending from the coast to higher elevation of Andean forests. RESULTS: Upland Chocó forests have a mean canopy height of 21.8 m and AGB of 233.0 Mg/ha, while wetland forests are characterized by a lower height and AGB (13.5 m and 117.5 Mg/a). Mangroves have a lower mean height than upland forests (16.5 m), but have a similar AGB as upland forests (229.9 Mg/ha) due to their high wood density. Within the terra firme forest class, intact forests have the highest AGB (244.3 ± 34.8 Mg/ha) followed by degraded and secondary forests with 212.57 ± 62.40 Mg/ha of biomass. Forest degradation varies in biomass loss from small-scale selective logging and firewood harvesting to large-scale tree removals for gold mining, settlements, and illegal logging. Our findings suggest that the forest degradation has already caused the loss of more than 115 million tons of dry biomass, or 58 million tons of carbon. CONCLUSIONS: Our assessment of carbon stocks and forest degradation can be used as a reference for reporting on the state of the Chocó forests to REDD+ projects and to encourage restoration efforts through conservation and climate mitigation policies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13021-019-0117-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6446973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64469732019-04-15 Forest degradation and biomass loss along the Chocó region of Colombia Meyer, Victoria Saatchi, Sassan Ferraz, António Xu, Liang Duque, Alvaro García, Mariano Chave, Jérôme Carbon Balance Manag Research BACKGROUND: Wet tropical forests of Chocó, along the Pacific Coast of Colombia, are known for their high plant diversity and endemic species. With increasing pressure of degradation and deforestation, these forests have been prioritized for conservation and carbon offset through Reducing Emissions from Deforestation and forest Degradation (REDD+) mechanisms. We provide the first regional assessment of forest structure and aboveground biomass using measurements from a combination of ground tree inventories and airborne Light Detection and Ranging (Lidar). More than 80,000 ha of lidar samples were collected based on a stratified random sampling to provide a regionally unbiased quantification of forest structure of Chocó across gradients of vegetation structure, disturbance and elevation. We developed a model to convert measurements of vertical structure of forests into aboveground biomass (AGB) for terra firme, wetlands, and mangrove forests. We used the Random Forest machine learning model and a formal uncertainty analysis to map forest height and AGB at 1-ha spatial resolution for the entire pacific coastal region using spaceborne data, extending from the coast to higher elevation of Andean forests. RESULTS: Upland Chocó forests have a mean canopy height of 21.8 m and AGB of 233.0 Mg/ha, while wetland forests are characterized by a lower height and AGB (13.5 m and 117.5 Mg/a). Mangroves have a lower mean height than upland forests (16.5 m), but have a similar AGB as upland forests (229.9 Mg/ha) due to their high wood density. Within the terra firme forest class, intact forests have the highest AGB (244.3 ± 34.8 Mg/ha) followed by degraded and secondary forests with 212.57 ± 62.40 Mg/ha of biomass. Forest degradation varies in biomass loss from small-scale selective logging and firewood harvesting to large-scale tree removals for gold mining, settlements, and illegal logging. Our findings suggest that the forest degradation has already caused the loss of more than 115 million tons of dry biomass, or 58 million tons of carbon. CONCLUSIONS: Our assessment of carbon stocks and forest degradation can be used as a reference for reporting on the state of the Chocó forests to REDD+ projects and to encourage restoration efforts through conservation and climate mitigation policies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13021-019-0117-9) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-03-23 /pmc/articles/PMC6446973/ /pubmed/30904964 http://dx.doi.org/10.1186/s13021-019-0117-9 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Meyer, Victoria Saatchi, Sassan Ferraz, António Xu, Liang Duque, Alvaro García, Mariano Chave, Jérôme Forest degradation and biomass loss along the Chocó region of Colombia |
title | Forest degradation and biomass loss along the Chocó region of Colombia |
title_full | Forest degradation and biomass loss along the Chocó region of Colombia |
title_fullStr | Forest degradation and biomass loss along the Chocó region of Colombia |
title_full_unstemmed | Forest degradation and biomass loss along the Chocó region of Colombia |
title_short | Forest degradation and biomass loss along the Chocó region of Colombia |
title_sort | forest degradation and biomass loss along the chocó region of colombia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446973/ https://www.ncbi.nlm.nih.gov/pubmed/30904964 http://dx.doi.org/10.1186/s13021-019-0117-9 |
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