Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program Version 3
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Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program Version 3
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Author : Dale D. Gormanson
language : en
Publisher:
Release Date : 2023
Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program Version 3 written by Dale D. Gormanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Forest surveys categories.
The U.S. Forest Service Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. FIAs primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nations forest land through a comprehensive inventory and analysis of the Nations forest resources. The FIA program strives for transparency by making the methods and results of the inventory and analysis available to the public. The standard for distributing FIA data is the FIADatabase (FIADB). FIADB data for individual states can be downloaded from the FIA DataMart at https://www.fia.fs.fed.us/tools-data. This report complements the Northern Research Stations FIA 5-year state reports and includes detailed information on forest inventory methods, important resource statistics, quality of estimates, and key references.
Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program 2016
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Author : Dale D. Gormanson
language : en
Publisher:
Release Date : 2017
Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program 2016 written by Dale D. Gormanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Forest surveys categories.
The U.S. Forest Service Forest Inventory and Analysis (FIA) program collects sample plot data on all forest ownerships across the United States. FIA's primary objective is to determine the extent, condition, volume, growth, and use of trees on the Nation's forest land through a comprehensive inventory and analysis of the Nation's forest resources. The FIA program strives for transparency by making the methods and results of the inventory and analysis available to the public. The standard for distributing FIA data is the FIADatabase (FIADB). FIADB data for individual states can be downloaded from the FIA DataMart at https://www.fia.fs.fed.us/tools-data/ as Microsoft Access© databases, which can be used to generate estimates of forest area, number of trees, volume, biomass, growth, removals, and mortality. This report complements the Northern Research Station's FIA 5-year state reports beginning with the 2014 inventory and includes detailed information on forest inventory methods, important resource statistics, quality of estimates, and key references.
Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program 2016
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Author : Dale D. Gormanson
language : en
Publisher:
Release Date : 2017
Statistics And Quality Assurance For The Northern Research Station Forest Inventory And Analysis Program 2016 written by Dale D. Gormanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Forest surveys categories.
Ozone Bioindicators And Forest Health
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Author : Gretchen Cole Smith
language : en
Publisher:
Release Date : 2008
Ozone Bioindicators And Forest Health written by Gretchen Cole Smith and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Forest health categories.
In 1994, the Forest Inventory and Analysis (FIA) and Forest Health Monitoring programs of the U.S. Forest Service implemented a national ozone (O3) biomonitoring program designed to address specific questions about the area and percent of forest land subject to levels of O3 pollution that may negatively affect the forest ecosystem. This is the first and only nationally consistent effort to monitor O3 stress on the forests of the United States. This report provides background information on O3 and its effects on trees and ecosystems, and describes the rationale behind using sensitive bioindicator plants to detect O3 stress and assess the risk of probable O3 impact. Also included are a description of field methods, analytic techniques, estimation procedures, and how to access, use and interpret the ozone bioindicator attributes and data outputs such as the national ozone risk map.
Fia National Assessment Of Data Quality For Forest Health Indicators
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Author :
language : en
Publisher:
Release Date : 2009
Fia National Assessment Of Data Quality For Forest Health Indicators written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Forest health categories.
Forest Inventory And Analysis National Data Quality Assessment Report For 2000 To 2003
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Author : James E. Pollard
language : en
Publisher:
Release Date : 2006
Forest Inventory And Analysis National Data Quality Assessment Report For 2000 To 2003 written by James E. Pollard and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Forest surveys categories.
The Forest Inventory and Analysis program (FIA) is the key USDA Forest Service (USFS) program that provides the information needed to assess the status and trends in the environmental quality of the Nation's forests. The goal of the FIA Quality Assurance (QA) program is to provide a framework to assure the production of complete, accurate and unbiased forest information of known quality. Specific Measurement Quality Objectives (MQO) for precision are designed to provide a window of performance that we are striving to achieve for every field measurement. These data quality goals were developed from knowledge of measurement processes in forestry and forest ecology, as well as the program needs of FIA. This report is a national summary and compilation of MQO analyses by regional personnel and the National QA Advisor. The efficacy of the MQO, as well as the measurement uncertainty associated with a given field measurement, can be tested by comparing data from blind check plots where, in addition to the field measurements of the standard FIA crew, a second QA measurement of the plot was taken by a crew without knowledge of the first crew's results. These QA data were collected between 2000 and 2003 and analyzed for measurement precision between FIA crews. The charge of this task team was to use the blind-check data to assess the FIA program's ability to meet data quality goals as stated by the MQO. The results presented indicate that the repeatability was within project goals for a wide range of measurements across a variety of forest and nonforest environments. However, there were some variables that displayed noncompliance with MQO goals. In general, there were two types of noncompliance: the first is where all the regions were below the MQO standard, and the second is where a subset of the regions was below the MQO standards or was substantially different from the other remaining regions. Results for each regional analysis are presented in appendix tables. In the course of the study, the task team discovered that there were difficulties in analyzing seedling species and seedling count variables for MQO compliance, and recommends further study of the issue. Also the task team addresses the issue of trees missed or added and recommends additional study of this issue. Lastly, the team points out that traditional MQO analysis of the disturbance and treatment variables may not be adequate. Some attributes where regional compliance rates are dissimilar suggest that regional characteristics (environmental variables such as forest type, physiographic class, and forest fragmentation) may have an impact on the ability to obtain consistent measurements. Additionally, differences in data collection protocols may cause differences in compliance rates. For example, a particular variable may be measured with a calibrated instrument in one region, while ocularly estimated in another region.
Forest Inventory And Analysis Fiscal Year 2015 Business Report
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Author : J. T. Vogt
language : en
Publisher: Government Printing Office
Release Date : 2016-09-07
Forest Inventory And Analysis Fiscal Year 2015 Business Report written by J. T. Vogt and has been published by Government Printing Office this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-07 with Nature categories.
This annual Forest Inventory and Analysis (FIA) Fiscal Year 2015 business report (#18) will tell you, the taxpayers, partners, and clients what the program has accomplished with the financial resources provided and what the program will accomplish in the coming year with budgeted financial resources. This relationship with taxpayers, partners, and clients is integral to FIA's continued success, because accountability is their first priority. Some key findings of this annual report are: Annualized progress, Funding, Partners' support, Grants and agreements, Data availability, Five-year reports, Quality assurance, Users groups, Personnel, Other program features, New FIA Strategic Plan, Looking to 2016. This information can be used in many ways, such as evaluating wildlife habitat conditions, assessing sustainability of current ecosystem management practices, monitoring forest health, supporting planning and decision-making activities undertaken by public and private enterprises, and predicting the effects of climate change. Related products: Soil Manual Survey --New --2017 can be found here: https://bookstore.gpo.gov/products/soil-survey-manual-march-2017 Forest Health Monitoring: National Status, Trends, and Analysis, 2014 can be found here: https://bookstore.gpo.gov/products/sku/001-000-04768-0?ctid=819 National Individual Tree Species Atlas can be found at this link: https://bookstore.gpo.gov/products/sku/001-001-00703-0?ctid=819 Christmas Tree Pest Manual can be found at this link: https://bookstore.gpo.gov/products/sku/001-000-04764-7?ctid=819 Other products available from the United States Forest Service can be found at this link: https://bookstore.gpo.gov/agency/819 Environment & Nature publications can be found here: https://bookstore.gpo.gov/catalog/environment-nature Department of Agriculture (USDA) publications can be found here: https://bookstore.gpo.gov/agency/department-agriculture-usda
Fia National Assessment Of Data Quality For Forest Health Indicators
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Author :
language : en
Publisher:
Release Date : 2009
Fia National Assessment Of Data Quality For Forest Health Indicators written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Forest health categories.
The Forest Inventory and Analysis (FIA) program of the U.S. Forest Service collects vast amounts of field data to assess the condition and trends of the nations forest resources. A quality assurance (QA) program is implemented to assure that data are collected accurately with consistent protocols. A random subset of field plots is chosen to receive an additional, independent measurement by another field crew. This blind check approach allows for comparison of measurements between the two crews. The measurement differences are evaluated against measurement quality objectives (MQO), which specify a level of measurement precision for each attribute. In this report, differences in repeated measurements from blind check data are analyzed to assess the quality of forest health data nationwide. For the understory vegetation indicator, the ground cover variables attained the MQO or were slightly below the desired level. Variables related to canopy and species identifcation were substantially below the MQO. Tree crown attributes that effectively met the MQO include crown light exposure, crown dieback, and foliage transparency. The uncompacted crown ratio, vigor class, and crown density measurements did not attain the MQO standards. Quality assessment for the lichen indicator is evaluated using a second measurement by an expert and not an independent measurement by another field crew. Overall, the MQO was not attained, although compliance improved over time and western regions were close to achieving the standard. Most variables measured for the down woody material indicator were below MQO standards. Due to the sampling protocols for the ozone indicator, direct analyses of MQO attainment are not possible. Mean biosite index was not significantly different between crews, although there were some large discrepancies on individual plots. There was agreement on presence/absence of ozone damage for about 80 percent of the plots. For field measurements of forest soils, 10 of the 12 variables attained the MQO. Although MQOs are not specifically stated for laboratory analyses of soil properties, comparisons were performed to assess the variability of lab measurements.
Michigan S Forests 2004
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Author :
language : en
Publisher:
Release Date : 2010
Michigan S Forests 2004 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Forests and forestry categories.
The first annual inventory of Michigan's forests was completed in 2004 after 18,916 plots were selected and 10,355 forested plots were visited. This report includes detailed information on forest inventory methods, quality of estimates, and additional tables. An earlier publication presented analyses of the inventoried data (Pugh et al. 2009).
The Forest Inventory And Analysis Database Version 4 0
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Author :
language : en
Publisher:
Release Date : 2010
The Forest Inventory And Analysis Database Version 4 0 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Forest inventory and analysis database (Computer file) categories.
Describes the structure of the Forest Inventory and Analysis Database (FIADB) 4.0 for phase 3 indicators. The FIADB structure provides a consistent framework for storing forest health monitoring data across all ownerships for the entire United States. These data are available to the public.