Mapping Aboveground Biomass of Trees Using Forest Inventory Data and Public Environmental Variables within the Alaskan Boreal Forest

2018 ◽  
pp. 141-160
Author(s):  
Brian D. Young ◽  
John Yarie ◽  
David Verbyla ◽  
Falk Huettmann ◽  
F. Stuart Chapin
Keyword(s):  
Boreal Forest ◽  
Aboveground Biomass ◽  
Forest Inventory ◽  
Environmental Variables ◽  
Inventory Data ◽  
Forest Inventory Data

scholarly journals Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data

2016 ◽  
Vol 8 (7) ◽  
pp. 565 ◽  
Author(s):  
Tianyu Hu ◽  
Yanjun Su ◽  
Baolin Xue ◽  
Jin Liu ◽  
Xiaoqian Zhao ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
Optical Imagery ◽  
Forest Aboveground Biomass

scholarly journals Synthesising Existing Forest Inventory Datasets for Estimating Historical Aboveground Biomass Stocks, Growth and Mortality in Logged-over Tropical Dipterocarp Forests of Kalimantan, Indonesia

2020 ◽  
Author(s):  
Solichin Manuri ◽  
Cris Brack ◽  
Nurul Silva ◽  
Fatmi Noor'an
Keyword(s):  
Land Cover ◽  
Aboveground Biomass ◽  
Forest Inventory ◽  
Emission Factors ◽  
Forest Monitoring ◽  
Inventory Data ◽  
Permanent Sample Plots ◽  
Forest Inventory Data ◽  
Dipterocarp Forests ◽  
The Mean

Abstract Background: Extensive forest inventory data is available from commercial timber companies. For this study, over 20,000 plots were compiled for North, East and West Kalimantan provinces, with more than 17,000 of these exceeding our quality assurance tests. This study aimed to: (1) explore the potential use of existing permanent sample plots and forest inventory data established and measured by timber concessions; (2) assess uncertainties of aboveground biomass (AGB) estimates using various allometric models; (3) analyse the dynamics of AGB in logged-over dipterocarp forests; (4) analyse AGB stocks and emission factors in tropical dipterocarp ecosystems. Methods: Two types of forest monitoring datasets measured by timber companies in Indonesia were compiled and assessed in this study: permanent sample plots (PSPs) (24 1-ha plots), and the overall periodic timber inventory (OPTI) (17,301 plots). We compared various allometric equations for estimating AGB of the plots and developed a simple AGB equation using basal area (BA) as predictor. We further evaluated the AGB growth and mortality using the PSP plots. Results: We found that the model using only tree diameter (D) as a predictor variable tended to be unbiased when aggregating the estimates at larger plots. We also found that BA per hectare could explain the variation of AGB at plot level (adjusted r2 = 0.911; root mean square error [RMSE]: 27.8). We overlaid the OPTI plot with the land cover map and estimated the mean AGB of the associated land cover classes. The mean AGB of primary dryland forest, secondary dryland forest and bush classes were 281.1 + 4.0 Mg/ha, 231.5 + 1.7 Mg/ha and 179.0 + 5.0 Mg/ha, respectively. Nine years after logging, the mean AGB is still lower than the mean AGB two years after logging. The growth rate (2.5%) was still lower than the mortality rate (3.1%), and recruitment (0.2%) did not occur until seven years after logging. Conclusions: The results of this study suggest that the existing forest monitoring data should be incorporated into the carbon accounting system at district, province and national level to improve the estimation of forest biomass and emission factors related to forest degradation and deforestation. However, there is a need for data quality assessment prior the analysis and a standardised platform for nation-wide forest inventory database is therefore required.

Large-scale estimation of aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data

2016 ◽  
Vol 186 ◽  
pp. 626-636 ◽  
Author(s):  
Liviu Theodor Ene ◽  
Erik Næsset ◽  
Terje Gobakken ◽  
Ernest William Mauya ◽  
Ole Martin Bollandsås ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Laser Scanning ◽  
Large Scale ◽  
National Forest Inventory ◽  
National Forest ◽  
Miombo Woodlands ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
Airborne Laser

Large-scale estimation of change in aboveground biomass in miombo woodlands using airborne laser scanning and national forest inventory data

2017 ◽  
Vol 188 ◽  
pp. 106-117 ◽  
Author(s):  
Liviu Theodor Ene ◽  
Erik Næsset ◽  
Terje Gobakken ◽  
Ole Martin Bollandsås ◽  
Ernest William Mauya ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Laser Scanning ◽  
Large Scale ◽  
National Forest Inventory ◽  
National Forest ◽  
Miombo Woodlands ◽  
Inventory Data ◽  
Forest Inventory Data ◽  
Airborne Laser

scholarly journals Mapping aboveground biomass by integrating geospatial and forest inventory data through a k-nearest neighbor strategy in North Central Mexico

2013 ◽  
Vol 6 (1) ◽  
pp. 80-96 ◽  
Author(s):  
Carlos A. Aguirre-Salado ◽  
Eduardo J. Treviño-Garza ◽  
Oscar A. Aguirre-Calderón ◽  
Javier Jiménez-Pérez ◽  
Marco A. González-Tagle ◽  
...  
Keyword(s):  
Aboveground Biomass ◽  
Forest Inventory ◽  
Nearest Neighbor ◽  
Central Mexico ◽  
Inventory Data ◽  
K Nearest Neighbor ◽  
North Central ◽  
Forest Inventory Data
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