Widely recognized as the best treatment of the technical issues concerning forest health and forest protection available, the original edition of this comprehensive text was the first to treat fire, wind, insects, and diseases as well as their interactions holistically. The latest edition extends the thrust of the successful first edition, bringing updated,. detailed, and reliable coverage by the same team of authors with decades of experience and expertise in the fields of forest pathology, fire ecology, and forest entomology. Their effective, integrative approach continues to focus on the fundamental issues related to forest protection, including ecology, forest health, and ecosystem management. Useful examples from the United States, Canada, and other countries illustrate principles and problems essential to understanding these issues. --

"The Forest Health Monitoring (FHM) Program's annual national report uses FHM data, as well as data from a variety of other programs, to provide an overview of forest health based on the criteria and indicators of sustainable forestry framework of the Santiago Declaration. It presents information about the status of and trends in various forest health indicators nationwide and uses statistically valid analysis methods applicable to large-scale ecological assessments. Five main sections correspond to the Santiago criteria: Biological Diversity, Productive Capacity, Health and Vitality, Conservation of Soil, and Carbon Cycling. A variety of indicators contribute information about the status of each forest ecosystem considered. Many indicators use data collected from ground plots. Such indicators include species diversity (tree and lichens), bioindicator species (lichens and vascular plants sensitive to ozone), changes in trees (crown condition, damage, and mortality), physical and chemical soil characteristics, and aboveground and belowground carbon pools. Additional information about forest health status and change is derived from data that are used to measure forest extent; data about insects and pathogens; and remotely sensed and/or ground-based data about forest fragmentation, fire, and air pollution. A sixth section presents and discusses a multivariate analysis of the indicators. The technique provides a composite picture of forest health, based on statistically significant principal components."--P. ii.

Forest Health: An Integrated Perspective is the first book to define an ecologically rational, conceptual framework that unifies and integrates the many sub-disciplines that comprise the science of forest health and protection. This new global approach applies to boreal, temperate, tropical, natural, managed, even-aged, uneven-aged and urban forests, as well as plantations. Readers of the text can use real datasets to assess the sustainability of four forests around the world. Datasets for the case studies are at www.cambridge.org/9780521766692, and the text provides stepwise instructions for performing the calculations in Microsoft Excel. Readers can follow along as the editors perform the same calculations and interpret the results. Elevating forest health from a fuzzy concept to an ecologically sound paradigm, this is essential reading for undergraduate and graduate students and professionals interested in forest health, protection, entomology, pathology and ecology.

Monitoring protocols are presented for: landbirds; raptors; small, medium and large mammals; bats; terrestrial amphibians and reptiles; vertebrates in aquatic ecosystems; plant species, and habitats.

The Forest Inventory and Analysis (FIA) Program of the Forest Service, U.S. Department of Agriculture, conducts a national inventory of forests across the United States. A systematic subset of permanent inventory plots in 38 States is currently sampled every year for numerous forest health indicators. One of these indicators, crown-condition classification, is designed to estimate tree crown dimensions and assess the impact of crown stressors. The indicator features eight tree-level field measurements in addition to variables traditionally measured in conjunction with FIA inventories: vigor class, uncompacted live crown ratio, crown light exposure, crown position, crown density, crown dieback, foliage transparency, and crown diameter. Indicators of crown health derived from the crown data are intended for analyses at the State, regional, and national levels, and contribute to the core tabular output in standard FIA reports. Crown-condition measurements were originally implemented as part of the Forest Health Monitoring (FHM) Program in 1990. Except for crown diameter, these measurements were continued when the FIA Program assumed responsibility for FHM plot-based detection monitoring in 2000. This report describes in detail the data collection and analytical techniques recommended for crown-condition classification.

The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture, Forest Service is in the process of moving from a system of quasi-independent, regional, periodic inventories to an enhanced program featuring greater national consistency, a complete and annual sample of each State, new reporting requirements, and integration with the ground sampling component of the Forest Health Monitoring Program. This documentation presents an overview of the conceptual design, describes the sampling frame and plot configuration, presents the estimators that form the basis of FIA's National Information Management System (NIMS), and shows how annual data are combined for analysis. It also references a number of Web-based supplementary documents that provide greater detail about some of the more obscure aspects of the sampling and estimation system, as well as examples of calculations for most of the common estimators produced by FIA.

This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.