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 Monitoring: National Status, Trends, and Analysis 2015
Forest Health Monitoring: National Status, Trends, and Analysis 2015

Author:

Publisher: Government Printing Office

Published: 2016

Total Pages: 226

ISBN-13: 9780160934322

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The annual national report of the Forest Health Monitoring (FHM) Program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multi-State regional perspective using a variety of sources, introduces new techniques for analyzing forest health data, and summarizes results of recently completed Evaluation Monitoring projects funded through the FHM national program.

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.

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.

Assessing Forest Ecosystem Health in the Inland West
Assessing Forest Ecosystem Health in the Inland West

Author: David L. Adams

Publisher: Routledge

Published: 2018-12-19

Total Pages: 458

ISBN-13: 135146552X

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Inland West, their historical origins, assessments of available management tools, and analyses of the various choices available to policymakers. Its goal is to help people understand the Inland West forests so that public policies can reflect a constructive and realistic framework in which forests can be managed for sustained health. This resource is the product of a scientific workshop where 35 participants, including scientists, resource managers, administrators, and environmentalists, addressed the forest health problem in the Inland West. Synthesis chapters integrate the diverse knowledge and experience which participants brought to the workshop. They identify and link together many of the ecological, social, and administrative conditions which have created the forest health problem in the West. The book is unique in that it reflects a process that fostered the use of academic research, field realities, and industrial knowledge to define an interdisciplinary problem, establish rational policy objectives, and set-up “do-able” management approaches. The following topics are analyzed: Assessing forest ecosystem health in the Inland West Historical and anticipated changes in forest ecosystems in the Inland West Defining and measuring forest health Historical range of variability as a tool for evaluating ecosystem change Administrative barriers to implementing forest health problems Economic and social dimensions of the forest health problem Fire management Ecosystem and landscape management

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 Lichen Indicator Data in the Forest Inventory and Analysis Program
Analyzing Lichen Indicator Data in the Forest Inventory and Analysis Program

Author: Will-Wolf

Publisher: CreateSpace

Published: 2015-01-03

Total Pages: 70

ISBN-13: 9781505907261

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Lichens are one of several forest health indicators sampled every year for a subset of plots on the permanent grid established by the Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service. This report reviews analysis procedures for standard FIA lichen indicator data. Analyses of lichen data contribute to state, regional, and national reports that evaluate spatial pattern and temporal trends in forest biodiversity, air quality, and climate. Data collection and management follow standard national protocols. A lichen species richness index (the number of species per FIA plot) is available for all areas soon after data collection. Air quality and climate indexes (for defined regional gradients and based on lichen species composition at plots) are developed from an FIA lichen gradient model. Critical steps in standard data analysis include screening plots to exclude biased data, selection of appropriate populations, then analysis, presentation, and interpretation of data.

Forest Health Monitoring
Forest Health Monitoring

Author:

Publisher:

Published: 2020

Total Pages: 0

ISBN-13:

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The annual national report of the Forest Health Monitoring (FHM) program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multi-State regional perspective using a variety of sources, introduces new techniques for analyzing forest health data, and summarizes results of recently completed Evaluation Monitoring projects funded through the FHM national program. In this 19th edition in a series of annual reports, national survey data are used to identify recent geographic patterns of insect and disease activity. Satellite data are employed to detect geographic patterns of forest fire occurrence. Recent drought and moisture surplus conditions are compared across the conterminous United States. Data collected by the Forest Inventory and Analysis (FIA) program are employed to detect regional differences in tree mortality. Twenty years of national Insect and Disease Survey data are used to provide a retrospective medium-term analysis of insect and disease damage to forests across the United States. A new measure is described for detecting forest disturbance using high-frequency satellite data. Two recently completed Evaluation Monitoring projects are summarized, addressing forest health concerns at smaller scales.