Forest Biometrics

Forest Biometrics
Author: Michail Prodan
Publisher: Elsevier
Total Pages: 461
Release: 2013-10-22
Genre: Mathematics
ISBN: 1483156559

Forest Biometrics presents the methods of mathematical statistics and biometrics that are significant to forestry. This book explores other fields related to forestry, which are explained with the help of a large number of practical examples. Organized into 25 chapters, this book starts with an overview of the variety of data that play a significant role in forest management, including the age of trees, the damage caused by storms, the fluctuation of timber prices, bark beetle infestation, and timber volume. This text then examines the factors that are responsible for a random distribution of the values in biological experimentation. Other chapters consider the important advantages of sample surveys compared to complete enumerations, include cheaper samples, wider applicability, quick results, and greater accuracy. The final chapter deals with the factors to be considered in determining the best time for harvesting of timber. This book is a valuable resource for students, research project leaders, and practical workers.

Biometry for Forestry and Environmental Data

Biometry for Forestry and Environmental Data
Author: Lauri Mehtatalo
Publisher: CRC Press
Total Pages: 412
Release: 2020-05-27
Genre: Mathematics
ISBN: 1498711499

Biometry for Forestry and Environmental Data with Examples in R focuses on statistical methods that are widely applicable in forestry and environmental sciences, but it also includes material that is of wider interest. Features: · Describes the theory and applications of selected statistical methods and illustrates their use and basic concepts through examples with forestry and environmental data in R. · Rigorous but easily accessible presentation of the linear, nonlinear, generalized linear and multivariate models, and their mixed-effects counterparts. Chapters on tree size, tree taper, measurement errors, and forest experiments are also included. · Necessary statistical theory about random variables, estimation and prediction is included. The wide applicability of the linear prediction theory is emphasized. · The hands-on examples with implementations using R make it easier for non-statisticians to understand the concepts and apply the methods with their own data. Lot of additional material is available at www.biombook.org. The book is aimed at students and researchers in forestry and environmental studies, but it will also be of interest to statisticians and researchers in other fields as well.

Forest Biometry

Forest Biometry
Author: Anthonie van Laar
Publisher:
Total Pages: 590
Release: 1991
Genre: Biometry
ISBN: 9780797203587

Forest Mensuration

Forest Mensuration
Author: Anthonie van Laar
Publisher: Springer Science & Business Media
Total Pages: 390
Release: 2007-07-20
Genre: Technology & Engineering
ISBN: 1402059914

Van Laar and Akça’s popular text book, Forest Mensuration, was first published in 1997. Like that first edition, this modern update is based on extensive research, teaching and practical experience in both Europe, and the tropics and subtropics. However, it has also been extensively revised, and now includes chapters on remote sensing and the application of aerial photographs and satellite imagery. The book assumes no advanced knowledge of statistical methods, and combines practical techniques with important historical and disciplinary context. The result is a strong balance between a handbook and a valuable reference.

Sustainable Forestry

Sustainable Forestry
Author: Keith M. Reynolds
Publisher: CABI
Total Pages: 551
Release: 2007-01-01
Genre: Technology & Engineering
ISBN: 1845931742

This book reviews the current state-of-the-art within each of the four major themes: science and policy; inventory and monitoring; statistics and modelling; and information and knowledge management, in the context of sustainable forestry. It fosters dialogue across thematic areas concerning both strategic and operational approaches to integrate research on sustainable forestry. It also enhances and encourages international collaboration towards sustainable forestry practice worldwide.

Spatial Modelling in Forest Ecology and Management

Spatial Modelling in Forest Ecology and Management
Author: Martin Jansen
Publisher: Springer Science & Business Media
Total Pages: 248
Release: 2012-12-06
Genre: Science
ISBN: 3642561551

At the end of the 1970s, when signs of destabilization of forests became visible in Eu rope on a large scale, it soon became obvious that the syndrome called "forest de cline" was caused by a network of interrelated factors of abiotic and biotic origin. All attempts to explain the wide-spread syndrome by a single cause, and there were many of them, failed or can only be regarded as a single mosaic stone in the network of caus es behind the phenomenon. Forest ecosystems are highly complex natural or quasi natural systems, which exhibit different structures and functions and as a conse quence different resilience to internal or external stresses. Moreover, forest ecosys tems have a long history, which means that former impacts may act as predisposing factors for other stresses. The complexity and the different history of forest ecosys tems are two reasons that make it difficult to assess the actual state and future devel opment of forests. But there are two other reasons: one is the large time scale in which forests react, the other is the idiosyncrasy of the reactions on different sites. Due to the slow reaction and the regional complexity of the abiotic environment of forest ecosys tems, a profound analysis of each site and region is necessary to identify the underly ing causes and driving forces when attempting to overcome the destruction of forest ecosystems.

Forest Analytics with R

Forest Analytics with R
Author: Andrew P. Robinson
Publisher: Springer Science & Business Media
Total Pages: 342
Release: 2010-11-05
Genre: Medical
ISBN: 1441977627

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.