scholarly journals Allometric equations to estimate carbon pool in soil and above-ground biomass in mangrove forests in Southeast Mexico

Author(s):  
J. J. Guerra-Santos ◽  
R. M. Cerón ◽  
J. G. Cerón ◽  
A. Alderete-Chávez ◽  
D. L. Damián-Hernández ◽  
...  
2014 ◽  
Vol 25 (1) ◽  
pp. 129-134 ◽  
Author(s):  
Jesús Jaime Guerra-Santos ◽  
Rosa María Cerón-Bretón ◽  
Julia Griselda Cerón-Bretón ◽  
Diana Lizett Damián-Hernández ◽  
Reyna Cristina Sánchez-Junco ◽  
...  

2009 ◽  
Vol 14 (6) ◽  
pp. 365-372 ◽  
Author(s):  
Tanaka Kenzo ◽  
Ryo Furutani ◽  
Daisuke Hattori ◽  
Joseph Jawa Kendawang ◽  
Sota Tanaka ◽  
...  

2020 ◽  
Vol 21 (1&2) ◽  
pp. 49-62
Author(s):  
Yogesh Kumar ◽  
Sanjay Babu ◽  
Sarnam Singh

Sendai Framework for 2015-2030 emphasises on the damage and loss assessment needs and its ecosystem level impacts. We have assessed the loss of forest cover and phytomass/carbon pool in the natural forest ecosystems lost due to extreme weather conditions leading flash floods and landslides during Kedarnath tragedy on June 17, 2013 in Mandakini Valley, Uttarakhand in Western Himalaya. We used high resolution satellite IRS LISS IV (5.8 m spatial resolution) of pre-disaster (2012) & post-disaster (2013). Since lost vegetation cannot be ground inventoried, a new approach was developed wherein we used pre-disaster spectral characteristics to identify  sample locations in nearby and adjacent to affected areas. We laid 45 geotagged sample plots in May 2014 on both side of the 37 landslide affected areas within a distance of 2 km from river-bed for primary data collection. Above ground biomass and Carbon was estimated using standard protocols and used species-specific volumetric equations and wood density. Above ground biomass varied from 18.05t/ha in Alpine Scrub to 252.95 t/ha in Subtropical forests. Assuming that the biomass increment and spectral properties would not change significantly, we applied several vegetation indices to get best regression model with biomass.  We found NDVI (2014) with coefficient of determination (R2) of 0.893, SE± 0.038 with linear function as the best for geospatial modelling of the biomass for pre-flood 2013 and post-flood 2014 situations. Coefficient of determination (R²) between estimated vis-à-vis modelled biomass was 0.8643. It is found that there is a net loss of 52,055.80 tonnes of forest biomass and 24,466.14 tonnes of carbon due to landslides and flash floods. The maximum biomass/carbon was lost in the sub-tropical forests. The loss of forest cover was maximum in subtropical forests.


2000 ◽  
Vol 48 (6) ◽  
pp. 707 ◽  
Author(s):  
W. H. Burrows ◽  
M. B. Hoffmann ◽  
J. F. Compton ◽  
P. V. Back ◽  
L. J. Tait

Allometric equations are presented relating stem circumference to branch, leaf, trunk, bark, total above-ground and lignotuber biomass for Eucalyptus crebra F.Muell. (woodland trees), E. melanophloia Sol. Ex Gaerth. (both woodland and regrowth community trees) and E. populnea F.Muell. (woodland trees). There were no significant differences (P > 0.05) between the slopes of individual lognormal regression lines plotting stem circumference against total above-ground biomass for E. crebra, E. melanophloia and E. populnea. Root-to-shoot ratios and leaf area indices were also determined for the stands contributing to each regression. The regressions were then applied to measured eucalypt stems in the associated plant community to give estimates of each stand’s component (eucalypt tree fraction only) biomass per hectare. These eucalypt regressions were next applied to measured stems of each species on a total of 33 woodland sites in which these eucalypts individually contributed > 75% of total site basal area. Above-ground biomass/basal area relationships averaged 6.74 0.29 t m–2 basal area for 11 E. crebra sites, 5.11 0.28 t m–2 for 12 E. melanophloia sites and 5.81 0.11 t m–2 for 10 E. populnea sites. The mean relationship for all sites was 5.86 0.18 t m–2 basal area. The allometric relationships presented at both individual tree and stand levels, along with calculated biomass : basal area relationships, enable ready estimates to be made of above-ground biomass (carbon stocks) in woodlands dominated by these eucalypts in Queensland, assuming individual stem circumferences or community basal areas are known. However, to document changes in carbon stocks (e.g. for Greenhouse Gas Inventory or Carbon Offset trading purposes), more attention needs to be placed on monitoring fluxes in the independent variables (predictors) of these allometric equations.


2020 ◽  
Vol 13 (1) ◽  
pp. 165-174
Author(s):  
R Puc-Kauil ◽  
G Ángeles-Pérez ◽  
JR Valdéz-Lazalde ◽  
VJ Reyes-Hernández ◽  
JM Dupuy-Rada ◽  
...  

2019 ◽  
Vol 434 ◽  
pp. 131-141 ◽  
Author(s):  
Truong Van Vinh ◽  
Cyril Marchand ◽  
Tran Vu Khanh Linh ◽  
Duong Dang Vinh ◽  
Michel Allenbach

2013 ◽  
Vol 310 ◽  
pp. 483-494 ◽  
Author(s):  
Keryn I. Paul ◽  
Stephen H. Roxburgh ◽  
Jacqueline R. England ◽  
Peter Ritson ◽  
Trevor Hobbs ◽  
...  

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