Details
| Original language | English |
|---|---|
| Pages (from-to) | 935-947 |
| Number of pages | 13 |
| Journal | Trees - Structure and Function |
| Volume | 30 |
| Issue number | 3 |
| Publication status | Published - 1 Jun 2016 |
| Externally published | Yes |
Abstract
Key message: We estimated aboveground biomass of large mangrove trees from terrestrial Lidar measurements. This makes the first attempt to extend mangrove biomass equations validity range to trunk diameter reaching 125 cm. Abstract: Accurately determining biomass of large trees is crucial for reliable biomass analyses in most tropical forests, but most allometric models calibration are deficient in large trees data. This issue is a major concern for high-biomass mangrove forests, especially when their role in the ecosystem carbon storage is considered. As an alternative to the fastidious cutting and weighing measurement approach, we explored a non-destructive terrestrial laser scanning approach to estimate the aboveground biomass of large mangroves (diameters reaching up to 125 cm). Because of buttresses in large trees, we propose a pixel-based analysis of the composite 2D flattened images, obtained from the successive thin segments of stem point-cloud data to estimate wood volume. Branches were considered as successive best-fitted primitive of conical frustums. The product of wood volume and height-decreasing wood density yielded biomass estimates. This approach was tested on 36 A. germinans trees in French Guiana, considering available biomass models from the same region as references. Our biomass estimates reached ca. 90 % accuracy and a correlation of 0.99 with reference biomass values. Based on the results, new tree biomass model, which had R 2 of 0.99 and RSE of 87.6 kg of dry matter. This terrestrial LiDAR-based approach allows the estimates of large tree biomass to be tractable, and opens new opportunities to improve biomass estimates of tall mangroves. The method could also be tested and applied to other tree species.
Keywords
- Aboveground biomass, Coastal blue carbon, French Guiana, Mangrove, Terrestrial LiDAR, Tree allometry
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Forestry
- Biochemistry, Genetics and Molecular Biology(all)
- Physiology
- Environmental Science(all)
- Ecology
- Agricultural and Biological Sciences(all)
- Plant Science
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Trees - Structure and Function, Vol. 30, No. 3, 01.06.2016, p. 935-947.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Extended biomass allometric equations for large mangrove trees from terrestrial LiDAR data
AU - Olagoke, A.
AU - Proisy, C.
AU - Féret, J.-B.
AU - Blanchard, E.
AU - Fromard, F.
AU - Mehlig, U.
AU - de Menezes, M.M.
AU - dos Santos, V.F.
AU - Berger, U.
N1 - Publisher Copyright: © 2015, Springer-Verlag Berlin Heidelberg.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Key message: We estimated aboveground biomass of large mangrove trees from terrestrial Lidar measurements. This makes the first attempt to extend mangrove biomass equations validity range to trunk diameter reaching 125 cm. Abstract: Accurately determining biomass of large trees is crucial for reliable biomass analyses in most tropical forests, but most allometric models calibration are deficient in large trees data. This issue is a major concern for high-biomass mangrove forests, especially when their role in the ecosystem carbon storage is considered. As an alternative to the fastidious cutting and weighing measurement approach, we explored a non-destructive terrestrial laser scanning approach to estimate the aboveground biomass of large mangroves (diameters reaching up to 125 cm). Because of buttresses in large trees, we propose a pixel-based analysis of the composite 2D flattened images, obtained from the successive thin segments of stem point-cloud data to estimate wood volume. Branches were considered as successive best-fitted primitive of conical frustums. The product of wood volume and height-decreasing wood density yielded biomass estimates. This approach was tested on 36 A. germinans trees in French Guiana, considering available biomass models from the same region as references. Our biomass estimates reached ca. 90 % accuracy and a correlation of 0.99 with reference biomass values. Based on the results, new tree biomass model, which had R 2 of 0.99 and RSE of 87.6 kg of dry matter. This terrestrial LiDAR-based approach allows the estimates of large tree biomass to be tractable, and opens new opportunities to improve biomass estimates of tall mangroves. The method could also be tested and applied to other tree species.
AB - Key message: We estimated aboveground biomass of large mangrove trees from terrestrial Lidar measurements. This makes the first attempt to extend mangrove biomass equations validity range to trunk diameter reaching 125 cm. Abstract: Accurately determining biomass of large trees is crucial for reliable biomass analyses in most tropical forests, but most allometric models calibration are deficient in large trees data. This issue is a major concern for high-biomass mangrove forests, especially when their role in the ecosystem carbon storage is considered. As an alternative to the fastidious cutting and weighing measurement approach, we explored a non-destructive terrestrial laser scanning approach to estimate the aboveground biomass of large mangroves (diameters reaching up to 125 cm). Because of buttresses in large trees, we propose a pixel-based analysis of the composite 2D flattened images, obtained from the successive thin segments of stem point-cloud data to estimate wood volume. Branches were considered as successive best-fitted primitive of conical frustums. The product of wood volume and height-decreasing wood density yielded biomass estimates. This approach was tested on 36 A. germinans trees in French Guiana, considering available biomass models from the same region as references. Our biomass estimates reached ca. 90 % accuracy and a correlation of 0.99 with reference biomass values. Based on the results, new tree biomass model, which had R 2 of 0.99 and RSE of 87.6 kg of dry matter. This terrestrial LiDAR-based approach allows the estimates of large tree biomass to be tractable, and opens new opportunities to improve biomass estimates of tall mangroves. The method could also be tested and applied to other tree species.
KW - Aboveground biomass
KW - Coastal blue carbon
KW - French Guiana
KW - Mangrove
KW - Terrestrial LiDAR
KW - Tree allometry
UR - http://www.scopus.com/inward/record.url?scp=84950246244&partnerID=8YFLogxK
U2 - 10.1007/s00468-015-1334-9
DO - 10.1007/s00468-015-1334-9
M3 - Article
VL - 30
SP - 935
EP - 947
JO - Trees - Structure and Function
JF - Trees - Structure and Function
SN - 0931-1890
IS - 3
ER -