forest sampling desk reference

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Should damaged trees be clear cut and replanted or allowed to recover naturally? Is the deer herd large enough to survive hunting pressure? Managing forest resources entails numerous decisions. Making these decisions intelligently requires sound information about the resource in question. Ideally, assessments should be based on the entire population involved. However, the costs in time and money often prevent this, and evaluations - or sampling - are done on a small portion of the whole. The most complete treatment of systematic sampling in one volume, Forest Sampling Desk Reference explains the uses and limitations of individual sampling designs in forest inventory operations. This text contains detailed derivations of the most commonly used statistical methods in forestry. It provides examples that highlight the statistical methods. The author covers probability and probability distributions and the development of logical regression models. The text discusses systematic sampling, describing its benefits and shortcomings in detail. It provides an in depth examination of the controversial 3-P sampling procedure. The validity and strength of sampling results vary from option to option, along with their costs in terms of money and time. Before selecting a sampling procedure you need to know their strengths and weaknesses in relation to their expense. Forest Sampling Desk Reference supplies the background necessary for making these decisions.

Sound forest management planning requires cost-efficient approaches to optimally utilize given resources. Emphasizing the mathematical and statistical features of forest sampling to assess classical dendrometrical quantities, Sampling Techniques for Forest Inventories presents the statistical concepts and tools needed to conduct a modern forest inventory. The book first examines design-based survey sampling and inference for finite populations, covering inclusion probabilities and the Horvitz–Thompson estimator, followed by more advanced topics, including three-stage element sampling and the model-assisted estimation procedure. The author then develops the infinite population model/Monte Carlo approach for both simple and complex sampling schemes. He also uses a case study to reveal a variety of estimation procedures, relies on anticipated variance to tackle optimal design for forest inventories, and validates the resulting optimal schemes with data from the Swiss National Forest Inventory. The last chapters outline facts pertaining to the estimation of growth and introduce transect sampling based on the stereological approach. Containing many recent developments available for the first time in book form, this concise and up-to-date work provides the necessary theoretical and practical foundation to analyze and design forest inventories.

Continuing a tradition of excellence spanning over forty years, the Fifth Edition of Forest Measurements supplies forestry students at all levels with the concepts and methods they need for future success. The authors present timber measurement techniques applicable to any tree inventory regardless of management objectives. Assuming only some background in algebra and plane trigonometry, basic statistical concepts are included, ensuring that even introductory students benefit from the book’s concise explanations. Thorough coverage of sampling designs, land measurements, tree measurements, forest inventory field methods, and growth projections ensures utility for foresters throughout their education and beyond. Chapters on aerial photographs and GIS introduce readers to these powerful measurement tools, and the concluding chapter expands the techniques discussed to encompass other natural resources such as rangelands, wildlife, and water. Exceptionally readable and clear, the book includes many photographs and illustrations, numerous numerical examples, and a bibliography to enhance the reader’s understanding of the material.

The new, revised edition of the standard volume on forest measurement The updated edition of this long-standing classic, Forest Mensuration, Fourth Edition, provides new, complete coverage of current measurement practices and technological applications that expand the role of forest mensuration to include monitoring forest resources. This integrated approach takes into account all the resources of a forest, including such nontimber vegetation parameters as regeneration, lesser vegetation, woody detritus, and carbon. Providing solid working knowledge of all concepts and methods, along with guidance for further study, featured material includes: * Applications of personal computers, global positioning, and GIS * Key concepts of tree-stand parameters and principles of measurement * Fundamental concepts of sampling methods * English and metric units Forest Mensuration, Fourth Edition, is a valuable resource for students in forestry and forestry-related studies.

Forest mensuration – the science of measurement applied to forest vegetation and forest products – holds value for basic ecology as well as sustainable forest management. As demands on the world’s forests have grown, scientists and professionals are increasingly called on to quantify forest composition, structure, and the goods and services forests provide. Grounded in geometry, sampling theory, and ecology as well as practical field experience, forest mensuration offers opportunities for creative problem solving and critical thinking. This fifth edition of the classic volume, Forest Mensuration, includes coverage of traditional and emerging topics, with attention to SI and Imperial units throughout. The book has been reorganised from the fourth edition to better integrate non-timber and ecological aspects of forest mensuration at the tree, stand, forest, and landscape scales throughout. The new edition includes new chapters that specifically address the integration of remotely sensed data in the forest inventory process, and inventory methods for dead and downed wood. One unifying theme, not only for traditional forestry but for the non-timber inventory and for remote sensing, is the use of covariates to make sampling more efficient and spatially explicit. This is introduced in the introductory chapter on statistics and the chapter on sampling designs has been restructured to highlight this approach and lay the foundation for further learning. New examples will be developed throughout the textbook with an emphasis on current issues and international practice. Students in applied forestry programs will find ample coverage of forest products and timber inventory, while expanded material on biodiversity, biomass and carbon inventory, downed dead wood, and the growing role of remote sensing in forest assessment will be valuable to a broader audience in applied ecology.

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