Chapter 7. Large-Scale Pan-European Forest Monitoring Network: A Statistical Perspective for Designing and Combining Country Estimates. Example for Defoliation
Chapter 7. Large-Scale Pan-European Forest Monitoring Network: A Statistical Perspective for Designing and Combining Country Estimates. Example for Defoliation
Strategic planning of forest resources in Europe requires reliable information on the status and trend of forest condition. National Forest Inventories (NFIs) and Forest Condition Monitoring (FCM) networks are primary sources of data for large area assessments of forest resources. This contribution seeks to outline a statistical perspective for the construction of a European forest monitoring system, able to provide statistically sound estimates of forest condition (defoliation) parameters and of their changes over time. Monitoring objectives, parameters of interest, and accuracy indexes are presented, under the assumption that a common definition for forests is adopted by European countries. The proposed estimators are of two types: (i) based solely on information acquired from FCM and (ii) derived from integration of FCM and NFIs.
Chapter 7. Large-Scale Pan-European Forest Monitoring Network: A Statistical Perspective for Designing and Combining Country Estimates. Example for Defoliation
Chapter 7. Large-Scale Pan-European Forest Monitoring Network: A Statistical Perspective for Designing and Combining Country Estimates. Example for Defoliation
Strategic planning of forest resources in Europe requires reliable information on the status and trend of forest condition. National Forest Inventories (NFIs) and Forest Condition Monitoring (FCM) networks are primary sources of data for large area assessments of forest resources. This contribution seeks to outline a statistical perspective for the construction of a European forest monitoring system, able to provide statistically sound estimates of forest condition (defoliation) parameters and of their changes over time. Monitoring objectives, parameters of interest, and accuracy indexes are presented, under the assumption that a common definition for forests is adopted by European countries. The proposed estimators are of two types: (i) based solely on information acquired from FCM and (ii) derived from integration of FCM and NFIs.
Contested Issues of Ecosystem Management provides park rangers, forestry students and personnel with a unique discussion of the premise, goals, and concepts of ecosystem management. You will discover the need for you to maintain and enhance the quality of the environment on a global scale while meeting the current and future needs of an increasing human population. This unique book includes ways to tackle the fundamental causes of environmental degradation so you will be able to respond to the problem and not merely the symptoms.
Effects of Climate Change on Forests presents concepts, case studies and application of theories about forest management under climate change. The reader will gain an understanding on how forest planning and management ties into the ecological functioning and resilience of the forest, by following the variability in growth (or other processes) over time, a concept weakly implemented in traditional forest planning. This shift in focus has significant benefits, not only better incorporating the services provided by forests but opens up for better adaptation planning to help temperate forests to not only survive but thrive in the face of climate change. Real world case studies demonstrate how to effectively manage temperate forests under climate change, using evidence-based research results Outlines innovative tools to evaluate and assess forest management plans Provides guidelines and criteria for forest planning, sustainability and management to adapt to climate change Assists the reader to develop comprehensive forest management plans, complete with sylvicultural interventions, which account for the uncertainties of climate change Ties directly into A for Climate project from the EU Commission as part of Horizon 2020
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