Methods and Equations for Estimating Aboveground Volume, Biomass, and Carbon for Trees in the U.S. Forest Inventory, 2010 PDF Download

Author: United States Department of Agriculture
Publisher: CreateSpace
ISBN: 9781505825558
Category :
Languages : en
Pages : 32

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Book Description
The U.S. Forest Service, Forest Inventory and Analysis (FIA) program uses numerous models and associated coefficients to estimate aboveground volume, biomass, and carbon for live and standing dead trees for most tree species in forests of the United States. The tree attribute models are coupled with FIA's national inventory of sampled trees to produce estimates of tree growing-stock volume, biomass, and carbon, which are available in the Forest Inventory and Analysis database (FIADB; http: //fi atools.fs.fed.us). To address an increasing need for accurate and easy-to-use documentation of relevant tree attribute models, needed individual tree gross volume, sound volume, biomass (including components), and carbon models for species in the United States are compiled and described in this publication with accompanying electronic fi les on a CD-ROM included with the publication. This report describes models currently in use as of 2010. These models are subject to change as the FIADB and associated tree attribute models are improved

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 30

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Book Description
The U.S. Forest Service, Forest Inventory and Analysis (FIA) program uses numerous models and associated coefficients to estimate aboveground volume, biomass, and carbon for live and standing dead trees for most tree species in forests of the United States. The tree attribute models are coupled with FIA's national inventory of sampled trees to produce estimates of tree growing-stock volume, biomass, and carbon, which are available in the Forest Inventory and Analysis database (FIADB; http://fiatools.fs.fed.us). To address an increasing need for accurate and easy-to-use documentation of relevant tree attribute models, needed individual tree gross volume, sound volume, biomass (including components), and carbon models for species in the United States are compiled and described in this publication with accompanying electronic files on a CD-ROM (13.4 MB Zip) included with the publication. This report describes models currently in use as of 2010. These models are subject to change as the FIADB and associated tree attribute models are improved.

Author:
Publisher: DIANE Publishing
ISBN: 1437983472
Category :
Languages : en
Pages : 25

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Book Description

Author: Prasad Thenkabail
Publisher: CRC Press
ISBN: 1482282674
Category : Technology & Engineering
Languages : en
Pages : 2304

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Book Description
A volume in the three-volume Remote Sensing Handbook series, Remote Sensing of Water Resources, Disasters, and Urban Studies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Land Reso

Author: Lalit Kumar
Publisher: MDPI
ISBN: 3039212095
Category : Science
Languages : en
Pages : 264

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Book Description
Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.

Author: John A. Kershaw, Jr.
Publisher: John Wiley & Sons
ISBN: 1118902017
Category : Science
Languages : en
Pages : 632

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Book Description
Forest mensuration – the science of measurement applied to forest vegetation and forest products – holds value for basic ecology as well as sustainable forest management. As demands on the world’s forests have grown, scientists and professionals are increasingly called on to quantify forest composition, structure, and the goods and services forests provide. Grounded in geometry, sampling theory, and ecology as well as practical field experience, forest mensuration offers opportunities for creative problem solving and critical thinking. This fifth edition of the classic volume, Forest Mensuration, includes coverage of traditional and emerging topics, with attention to SI and Imperial units throughout. The book has been reorganised from the fourth edition to better integrate non-timber and ecological aspects of forest mensuration at the tree, stand, forest, and landscape scales throughout. The new edition includes new chapters that specifically address the integration of remotely sensed data in the forest inventory process, and inventory methods for dead and downed wood. One unifying theme, not only for traditional forestry but for the non-timber inventory and for remote sensing, is the use of covariates to make sampling more efficient and spatially explicit. This is introduced in the introductory chapter on statistics and the chapter on sampling designs has been restructured to highlight this approach and lay the foundation for further learning. New examples will be developed throughout the textbook with an emphasis on current issues and international practice. Students in applied forestry programs will find ample coverage of forest products and timber inventory, while expanded material on biodiversity, biomass and carbon inventory, downed dead wood, and the growing role of remote sensing in forest assessment will be valuable to a broader audience in applied ecology.

Author: Ramírez, C., Alberdi, I., Bahamondez, C., Freitas, J.
Publisher: Food & Agriculture Org.
ISBN: 9251363943
Category : Nature
Languages : en
Pages : 440

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Book Description
National forest inventories (NFIs) are one of the main sources of forest information. This book describes the importance and history of NFIs in Latin America and the Caribbean, a region that is particularly relevant due to the extension and biodiversity of its forests. Methodologies for data collection and measurement of the most relevant indicators in 21 countries are addressed. In addition, similarities and differences in IFN designs, challenges and opportunities, and prospects for the future are examined. This analysis demonstrates that the information generated by the countries is diverse and must be harmonized to meet the commitments and opportunities for sustainable forest management in the 21st century. This publication represents a milestone in the beginning of the harmonization process towards data transparency within the forestry sector in Latin America and the Caribbean and constitutes the first collaborative effort of a network of NFI experts and collaborators in the region.

Author: Ph.D., Prasad S. Thenkabail
Publisher: CRC Press
ISBN: 1482217988
Category : Technology & Engineering
Languages : en
Pages : 869

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Book Description
A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo

Author: Krishna Prasad Poudel
Publisher:
ISBN:
Category : Forest biomass
Languages : en
Pages : 128

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Book Description
The issue of global climate change and an increasing interest in the reduction of fossil fuel carbon dioxide emissions by using forest biomass for energy production has increased the importance of quantifying forest biomass in recent years. The official U.S. forest carbon reporting is based on the forest biomass estimates obtained from the equations, sample tree measurements, and forest area estimates of the U.S. Forest Service, Forest Inventory and Analysis (FIA). These biomass estimates differ from the estimates obtained from regional and other commonly used biomass equations and the difference is more evident in the component biomass estimates. In this dissertation, I assessed the efficiency of different sampling strategies to estimate crown biomass using data collected destructively from sampled trees. In terms of bias and root mean squared errors (RMSE), the stratified random sampling with probability proportional to branch basal diameter was better than other methods when 3 or 6 branches per tree are sampled but a systematic sampling with ratio estimation technique produced the smallest RMSE when 9 or 12 branches per tree are sampled. Total and component aboveground biomass estimates were obtained using the existing approaches and locally fitted equations based on the data collected in this study. The use of existing equations resulted in biased component biomass estimates along with higher RMSE. The locally fitted system of component biomass equations with seemingly unrelated regression (SUR) provided better estimates than existing equations. The need to use other explanatory variables in addition to the diameter at breast height (DBH) to estimate component biomass was justified by decrease in RMSE. Beta, Dirichlet, and multinomial loglinear regressions that predict proportion of biomass in each component were unbiased and produced lower RMSEs compared to the SUR methods for most of the species-component combinations. Three different methods for adjusting regional volume and component biomass equations were applied. All the adjustment methods were able to improve the performance of regional equations. Based on the leave one out cross validation, the RMSEs in cubic volume including top and stump (CVTS) and component biomass estimation were similar for the adjustments from a correction factor based on ordinary least square (OLS) regression through origin and an inverse approach. The adjustment based on OLS with intercept did not perform as well as the other two adjustment methods. When only one tree is available for calibration of regional models, we found it useful to use the tree with maximum DBH to calibrate regional CVTS and bark biomass equations and the dominant tree to calibrate bole, foliage, and branch biomass rather than to use randomly selected one tree.

Author:
Publisher:
ISBN:
Category : Carbon sequestration
Languages : en
Pages : 224

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Book Description
This study presents techniques for calculating average net annual additions to carbon in forests and in forest products. Forest ecosystem carbon yield tables, representing stand-level merchantable volume and carbon pools as a function of stand age, were developed for 51 forest types within 10 regions of the United States. Separate tables were developed for afforestation and reforestation. Because carbon continues to be sequestered in harvested wood, approaches to calculate carbon sequestered in harvested forest products are included. Although these calculations are simple and inexpensive to use, the uncertainty of results obtained by using representative average values may be high relative to other techniques that use site- or project-specific data. The estimates and methods in this report are consistent with guidelines being updated for the U.S. Voluntary Reporting of Greenhouse Gases Program and with guidelines developed by the Intergovernmental Panel on Climate Change. The CD-ROM included with this publication contains a complete set of tables in spreadsheet format.