Use of Ancillary Data to Improve the Analysis of Forest Health Indicators

Use of Ancillary Data to Improve the Analysis of Forest Health Indicators

Author:

Publisher:

Published: 2013

Total Pages: 52

ISBN-13:

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In addition to its standard suite of mensuration variables, the Forest Inventory and Analysis (FIA) program of the U.S. Forest Service also collects data on forest health variables formerly measured by the Forest Health Monitoring program. FIA obtains forest health information on a subset of the base sample plots. Due to the sample size differences, the two sets of variables have traditionally been analyzed separately. However, the analysis of forest health indicator data can occur in conjunction with not only other stand characteristics (mensuration variables such as live-tree volume), but also with a plethora of ancillary information such as climate data and satellite imagery. This document is designed to help people interested in using auxiliary information in the analysis of the forest health indicators. Readers are initially treated to topics related to exploratory data analysis. This introductory content is followed by presentation of various statistical methodologies that may be employed; each section provides empirical analyses and discussion of the technique being presented. To cultivate a common theme throughout the document, carbon attributes of coarse woody debris (i.e., downed deadwood of a minimum size) is used as the forest health variable of interest; however, the underlying concepts can be applied to analyses of other variables as well.


Use of Ancillary Data to Improve the Analysis of Forest Health Indicators

Use of Ancillary Data to Improve the Analysis of Forest Health Indicators

Author: Southern Research Station

Publisher: CreateSpace

Published: 2015-06-26

Total Pages: 62

ISBN-13: 9781508580799

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In addition to its standard suite of mensuration variables, the Forest Inventory and Analysis (FIA) program of the U.S. Forest Service also collects data on forest health variables formerly measured by the Forest Health Monitoring program. FIA obtains forest health information on a subset of the base sample plots. Due to the sample size differences, the two sets of variables have traditionally been analyzed separately. However, the analysis of forest health indicator data can occur in conjunction with not only other stand characteristics (mensuration variables such as live-tree volume), but also with a plethora of ancillary information such as climate data and satellite imagery. This document is designed to help people interested in using auxiliary information in the analysis of the forest health indicators. Readers are initially treated to topics related to exploratory data analysis. This introductory content is followed by presentation of various statistical methodologies that may be employed; each section provides empirical analyses and discussion of the technique being presented. To cultivate a common theme throughout the document, carbon attributes of coarse woody debris (i.e., downed deadwood of a minimum size) is used as the forest health variable of interest; however, the underlying concepts can be applied to analyses of other variables as well.


Analyzing Forest Health Data

Analyzing Forest Health Data

Author: William Dwight Smith

Publisher:

Published: 2005

Total Pages: 40

ISBN-13:

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This report focuses on the Forest Health Monitoring Programs development and use of analytical procedures for monitoring changes in forest health and for expressing the corresponding statistical confidences. The programs assessments of long-term status, changes, and trends in forest ecosystem health use the Santiago Declaration: S2Criteria and Indicators for the Conservation and Sustainable Forest Management of Temporate and Boreal ForestsS3 (Montreal Process) as a reporting framework. Procedures used in five aspects of data analysis are presented. The analytical procedures used are based on mixed estimation procedures. Examples using the indicators are included, along with a clear link to the analytical procedures used (1) estimating change over time within groupsestimation of growth, harvest, mortality, and crown condition; (2) testing for differences in change over time among groupsfoliar transparency; (3) estimating change using covariatesimpact of drought on change in foliar transparency; (4) estimating plot values for unmeasured yearscomparison of observed and predicted (Best Linear Unbiased Predictions) values of foliar transparency, dieback, and total volume; and (5) estimating tree heightsexamples of using estimated tree heights to estimate tree volume.


Forest Health Indicators

Forest Health Indicators

Author:

Publisher:

Published: 2002

Total Pages: 24

ISBN-13:

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"Forest Inventory and Analysis. The Forest Service Forest Inventory and Analysis (FIA) Program is the Nations continuous forest census. Since 1930, we have collected, analyzed, and reported information on the status and trends of Americas forests: how much forest exists, where it exists, who owns it, and how it is changing growing, dying, or being harvested. In response to widening customer interests, the FIA Program is developing a core program that will be implemented in the same manner on all U.S. forest lands. It includes sampling an extended suite of forest health indicators. The purpose of this brochure is to describe these health indicators: what we are measuring, why we believe these measurements are important, how we collect and interpret the data, and examples of what we have found to date. The FIA indicators discussed in this brochure are: crown condition, ozone injury, tree damage, tree mortality, lichen communities, down woody debris, vegetation diversity and structure, soil condition.


Forest Health Monitoring

Forest Health Monitoring

Author:

Publisher:

Published: 2005

Total Pages: 124

ISBN-13:

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The Forest Health Monitoring Program's annual national reports present results from forest health data analyses focusing on a national perspective. The Criteria and Indicators for the Conservation and Sustainable Management of Temperate and Boreal Forests are used as a reporting framework. This report has five main sections. The first contains introductory material. The next three sections, S2Landscape Structure, S3 S2Abiotic and Biotic Factors, S3 and S2Forest Conditions, S3 contain results of data analyses. Some of the indicators discussed use data collected from ground plots. These include ozone bioindicator plants; changes in trees (crown condition, mortality, and stand age); and soils (forest floor depth). Other indicators or indicator groups use data about insects and diseases, and remotely sensed or ground-based data about distance to roads, forest edge, interior forest, drought, fire, and air pollution (sulfates, nitrates, and ozone). Identifying patterns and observing possible relationships is an important part of national level analysis and reporting. The fifth section S2Integrated Look at Forest Health IndicatorsS3 presents results of analyses designed to evaluate whether or not individual indicators or linear combinations of indicators discriminate between crowns in poor condition and crowns not in poor condition.


Global Forest Monitoring from Earth Observation

Global Forest Monitoring from Earth Observation

Author: Frederic Achard

Publisher: CRC Press

Published: 2012-11-19

Total Pages: 357

ISBN-13: 1466552018

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Forests provide a large range of beneficial services, including tangible ones such as timber and recreation, and intangible services such as climate regulation, biodiversity, and watershed protection. On the other hand, forests can also be considered roadblocks to progress that occupy space more productively used for agriculture, making consideration of their regulating services crucial for balancing land use and forest loss. Monitoring forest cover and loss is critical for obtaining the data necessary to help define what is needed to maintain the varying forest service requirements in different parts of the world. There is an increasing need for timely and accurate forest change information, and consequently a greater interest in monitoring those changes. Global Forest Monitoring from Earth Observation covers the very recent developments undertaken for monitoring forest areas from global to national levels using Earth observation satellite data. It describes operational tools and systems for monitoring forest ecosystems, discussing why and how researchers currently use remotely sensed data to study forest cover and loss over large areas. The book introduces the role of forests in providing ecosystem services and the need for monitoring their change over time, followed by an overview of the use of earth observation data to support forest monitoring. It discusses general methodological differences, including wall-to-wall mapping and sampling approaches, as well as data availability. This book provides excellent coverage of the research and applications of forest monitoring, indicator mapping at coarse spatial resolution, sample-based assessments, and wall-to-wall mapping at medium spatial resolution using optical remote sensing datasets, such as MODIS and Landsat. It examines the use of radar imagery in forest monitoring and presents a number of operational systems, from Brazil’s PRODES and DETER products to Australia’s NCAS system. Written by leading global experts in the field, this book offers a launch point for future advances in satellite-based monitoring of global forest resources. It gives readers a deeper understanding of global forest monitoring methods and shows how state-of-the-art technologies may soon provide key data for creating more balanced policies.


Bioindicators of Forest Health and Sustainability

Bioindicators of Forest Health and Sustainability

Author: W. H. Fogal

Publisher: Sault Ste. Marie : Ontario Forest Research Institute

Published: 1997

Total Pages: 112

ISBN-13:

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The primary objective of the project reported in this document is to review and evaluate the use of remote sensing applications to assess forest health and sustainability. After an introduction discussing the concept of forest health and relationships between stress, strain, and damage, section 2 reviews the factors most likely to cause plant stress, the manner in which the stresses are manifested, and methods for detecting or determining those factors (both environmental and man-made). Section 3 focuses on the manifestations or markers of stress, related factors, and other indicators of health and vigour. This leads to a review of the role of remote sensing technology for supplying such information in section 4, which describes such tools as cameras, imaging spectrometers, satellite-borne sensors, and geographic information technologies. Section 5 reviews applications where remote sensing could contribute to forest health studies, and identifies the most promising technologies. A design framework for forest health monitoring is then outlined, and some general implementation strategies are suggested. Specific project stages and pilot studies are also proposed which are intended to develop essential methodologies or test new approaches to forest health remote sensing. Finally, financial implications of various project options are assessed. The appendix includes discussion of temporal and spatial considerations for monitoring forest health and sustainability.


Fia National Assessment of Data Quality for Forest Health Indicators

Fia National Assessment of Data Quality for Forest Health Indicators

Author: United States Department of Agriculture

Publisher: CreateSpace

Published: 2015-01-02

Total Pages: 84

ISBN-13: 9781505814217

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The Forest Inventory and Analysis program of the U.S. Forest Service collects vast amounts of filed data to assess the condition and trends the nation's forest resources. A quality assurance 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.