Mathematical Models in Forest Resource Management Planning
Author: Chuanzhong Li
Publisher:
Published: 1988
Total Pages: 197
ISBN-13: 9789157635198
DOWNLOAD EBOOK →Author: Chuanzhong Li
Publisher:
Published: 1988
Total Pages: 197
ISBN-13: 9789157635198
DOWNLOAD EBOOK →Author: Peter Bettinger
Publisher: Academic Press
Published: 2016-12-29
Total Pages: 362
ISBN-13: 012809706X
DOWNLOAD EBOOK →Forest Management and Planning, Second Edition, addresses contemporary forest management planning issues, providing a concise, focused resource for those in forest management. The book is intermixed with chapters that concentrate on quantitative subjects, such as economics and linear programming, and qualitative chapters that provide discussions of important aspects of natural resource management, such as sustainability. Expanded coverage includes a case study of a closed canopy, uneven-aged forest, new forest plans from South America and Oceania, and a new chapter on scenario planning and climate change adaptation. Helps students and early career forest managers understand the problems facing professionals in the field today Designed to support land managers as they make complex decisions on the ecological, economic, and social impacts of forest and natural resources Presents updated, real-life examples that are illustrated both mathematically and graphically Includes a new chapter on scenario planning and climate change adaptation Incorporates the newest research and forest certification standards Offers access to a companion website with updated solutions, geographic databases, and illustrations
Author: Joseph Edward De Steiguer
Publisher:
Published: 2003
Total Pages: 40
ISBN-13:
DOWNLOAD EBOOK →Foresters and natural resource managers must balance conflicting objectives when developing land-management plans. Conflicts may encompass economic, environmental, social, cultural, technical, and aesthetic objectives. Selecting the best combination of management uses from numerous objectives is difficult and challenging. Multi-Criteria Decision Models (MCDM) provide a systematic means for comparing tradeoffs and selecting alternatives that best satisfy the decisionmakergass objectives. In recent years, the use of MCDM in forestry and natural resources management has generated a substantial body of literature. This annotated bibliography includes 124 important references ranging from theoretical studies to real-world applications of MCDM.
Author: A. Amaro
Publisher: CABI
Published: 2003-01-01
Total Pages: 426
ISBN-13: 9780851998732
DOWNLOAD EBOOK →There are many theoretical approaches to modelling forest systems, but not all of them have valid practical applications. This book reviews current thinking on various models and presents applications in various contexts. Papers have been selected and developed from those presented at aworkshop held in Portugal in June 2002. Topics covered include: Forest reality and modelling strategies Mathematical approaches and reasoning Estimation processes Models, validation and decision under uncertainty Model archives and metadata
Author: Pacific Southwest Forest and Range Experiment Station (Berkeley, Calif.)
Publisher:
Published: 1978
Total Pages: 132
ISBN-13:
DOWNLOAD EBOOK →Author: Andrew P. Robinson
Publisher: Springer Science & Business Media
Published: 2010-11-05
Total Pages: 342
ISBN-13: 1441977627
DOWNLOAD EBOOK →Forest Analytics with R combines practical, down-to-earth forestry data analysis and solutions to real forest management challenges with state-of-the-art statistical and data-handling functionality. The authors adopt a problem-driven approach, in which statistical and mathematical tools are introduced in the context of the forestry problem that they can help to resolve. All the tools are introduced in the context of real forestry datasets, which provide compelling examples of practical applications. The modeling challenges covered within the book include imputation and interpolation for spatial data, fitting probability density functions to tree measurement data using maximum likelihood, fitting allometric functions using both linear and non-linear least-squares regression, and fitting growth models using both linear and non-linear mixed-effects modeling. The coverage also includes deploying and using forest growth models written in compiled languages, analysis of natural resources and forestry inventory data, and forest estate planning and optimization using linear programming. The book would be ideal for a one-semester class in forest biometrics or applied statistics for natural resources management. The text assumes no programming background, some introductory statistics, and very basic applied mathematics.