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Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago
BACKGROUND: Spatially explicit forest carbon (C) monitoring aids conservation and climate change mitigation efforts, yet few approaches have been developed specifically for the highly heterogeneous landscapes of oceanic island chains that continue to undergo rapid and extensive forest C change. We d...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705141/ https://www.ncbi.nlm.nih.gov/pubmed/26793270 http://dx.doi.org/10.1186/s13021-015-0043-4 |
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author | Asner, Gregory P. Sousan, Sinan Knapp, David E. Selmants, Paul C. Martin, Roberta E. Hughes, R. Flint Giardina, Christian P. |
author_facet | Asner, Gregory P. Sousan, Sinan Knapp, David E. Selmants, Paul C. Martin, Roberta E. Hughes, R. Flint Giardina, Christian P. |
author_sort | Asner, Gregory P. |
collection | PubMed |
description | BACKGROUND: Spatially explicit forest carbon (C) monitoring aids conservation and climate change mitigation efforts, yet few approaches have been developed specifically for the highly heterogeneous landscapes of oceanic island chains that continue to undergo rapid and extensive forest C change. We developed an approach for rapid mapping of aboveground C density (ACD; units = Mg or metric tons C ha(−1)) on islands at a spatial resolution of 30 m (0.09 ha) using a combination of cost-effective airborne LiDAR data and full-coverage satellite data. We used the approach to map forest ACD across the main Hawaiian Islands, comparing C stocks within and among islands, in protected and unprotected areas, and among forests dominated by native and invasive species. RESULTS: Total forest aboveground C stock of the Hawaiian Islands was 36 Tg, and ACD distributions were extremely heterogeneous both within and across islands. Remotely sensed ACD was validated against U.S. Forest Service FIA plot inventory data (R(2) = 0.67; RMSE = 30.4 Mg C ha(−1)). Geospatial analyses indicated the critical importance of forest type and canopy cover as predictors of mapped ACD patterns. Protection status was a strong determinant of forest C stock and density, but we found complex environmentally mediated responses of forest ACD to alien plant invasion. CONCLUSIONS: A combination of one-time airborne LiDAR data acquisition and satellite monitoring provides effective forest C mapping in the highly heterogeneous landscapes of the Hawaiian Islands. Our statistical approach yielded key insights into the drivers of ACD variation, and also makes possible future assessments of C storage change, derived on a repeat basis from free satellite data, without the need for additional LiDAR data. Changes in C stocks and densities of oceanic islands can thus be continually assessed in the face of rapid environmental changes such as biological invasions, drought, fire and land use. Such forest monitoring information can be used to promote sustainable forest use and conservation on islands in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13021-015-0043-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4705141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-47051412016-01-18 Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago Asner, Gregory P. Sousan, Sinan Knapp, David E. Selmants, Paul C. Martin, Roberta E. Hughes, R. Flint Giardina, Christian P. Carbon Balance Manag Research BACKGROUND: Spatially explicit forest carbon (C) monitoring aids conservation and climate change mitigation efforts, yet few approaches have been developed specifically for the highly heterogeneous landscapes of oceanic island chains that continue to undergo rapid and extensive forest C change. We developed an approach for rapid mapping of aboveground C density (ACD; units = Mg or metric tons C ha(−1)) on islands at a spatial resolution of 30 m (0.09 ha) using a combination of cost-effective airborne LiDAR data and full-coverage satellite data. We used the approach to map forest ACD across the main Hawaiian Islands, comparing C stocks within and among islands, in protected and unprotected areas, and among forests dominated by native and invasive species. RESULTS: Total forest aboveground C stock of the Hawaiian Islands was 36 Tg, and ACD distributions were extremely heterogeneous both within and across islands. Remotely sensed ACD was validated against U.S. Forest Service FIA plot inventory data (R(2) = 0.67; RMSE = 30.4 Mg C ha(−1)). Geospatial analyses indicated the critical importance of forest type and canopy cover as predictors of mapped ACD patterns. Protection status was a strong determinant of forest C stock and density, but we found complex environmentally mediated responses of forest ACD to alien plant invasion. CONCLUSIONS: A combination of one-time airborne LiDAR data acquisition and satellite monitoring provides effective forest C mapping in the highly heterogeneous landscapes of the Hawaiian Islands. Our statistical approach yielded key insights into the drivers of ACD variation, and also makes possible future assessments of C storage change, derived on a repeat basis from free satellite data, without the need for additional LiDAR data. Changes in C stocks and densities of oceanic islands can thus be continually assessed in the face of rapid environmental changes such as biological invasions, drought, fire and land use. Such forest monitoring information can be used to promote sustainable forest use and conservation on islands in the future. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13021-015-0043-4) contains supplementary material, which is available to authorized users. Springer International Publishing 2016-01-08 /pmc/articles/PMC4705141/ /pubmed/26793270 http://dx.doi.org/10.1186/s13021-015-0043-4 Text en © Asner et al. 2016 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. |
spellingShingle | Research Asner, Gregory P. Sousan, Sinan Knapp, David E. Selmants, Paul C. Martin, Roberta E. Hughes, R. Flint Giardina, Christian P. Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title | Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title_full | Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title_fullStr | Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title_full_unstemmed | Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title_short | Rapid forest carbon assessments of oceanic islands: a case study of the Hawaiian archipelago |
title_sort | rapid forest carbon assessments of oceanic islands: a case study of the hawaiian archipelago |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705141/ https://www.ncbi.nlm.nih.gov/pubmed/26793270 http://dx.doi.org/10.1186/s13021-015-0043-4 |
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