Raffaele Lafortezza,Jiquan Chen,Giovanni Sanesi,Thomas R. Crow,Thomas A. Spies: Patterns and Processes in Forest Landscapes : Multiple Use and Sustainable Management


Description
Increasing evidence suggests that the composition and spatial configuration - the pattern - of forest landscapes affect many ecological processes, including the movement and persistence of particular species, the susceptibility and spread of disturbances such as fires or pest outbreaks, and the redistribution of matter and nutrients. Understanding these issues is key to the successful management of complex, multifunctional forest landscapes, and landscape ecology, based on a foundation of island bio-geography and meta-population dynamic theories, provides the rationale to deal with this pattern-to-process interaction at different spatial and temporal scales. This carefully edited volume represents a stimulating addition to the international literature on landscape ecology and resource management. It provides key insights into some of the applicable landscape ecological theories that underlie forest management, with a specific focus on how forest management can benefit from landscape ecology, and how landscape ecology can be advanced by tackling challenging problems in forest (landscape) management. It also presents a series of case studies from Europe, Asia, North America, Africa and Australia exploring the issues of disturbance, diversity, management, and scale, and with a specific focus on how human intervention affects forest landscapes and, in turn, how landscapes influence humans and their culture. An important reference for advanced students and researchers in landscape ecology, conservation biology, forest ecology, natural resource management and ecology across multiple scales, the book will also appeal to researchers and practitioners in reserve design, ecological restoration, forest management, landscape planning and landscape architecture.
Classic manual muscle testing has been shown to be an invaluable clinical tool in evaluating muscle function and for the assessment of patient recovery from neuromuscular dysfunction. Advances in Professional Applied Kinesiology (PAK) have 'fine tuned' traditional understanding to bring muscle testing into another dimension. Many of the diagnostic bonds of the past have been broken, allowing for an unsurpassed range in functional diagnoses. An extremely sensitive tool, PAK muscle testing allows the clinician to evaluate a much wider A Better Way of Dying : How to Make the Best Choices at the End of Life download book array of complex systems (cranial nerve problems, joint receptor abnormalities, and acupuncture meridian imbalances) than can be made using the classic testing methods. The English language edition of this highly successful handbook has been specially prepared for the international reader. The most up-to-date PAK tests are described as well as myofascial stretch testing and post-isometric relaxation techniques. The handbook carefully explains testing procedures for almost 100 individual muscles; many more than are found in other texts on the subject.
____________________________
Author: Raffaele Lafortezza,Jiquan Chen,Giovanni Sanesi,Thomas R. Crow,Thomas A. Spies
Number of Pages: 425 pages
Published Date: 24 Nov 2010
Publisher: Springer
Publication Country: Dordrecht, Netherlands
Language: English
ISBN: 9789048178957
Download Link: Click Here
____________________________
Tags:
pocket, download book, free pdf, download ebook, kindle, iPad, epub download,Patterns and Processes in Forest Landscapes : Multiple Use and Sustainable Management iOS,Read online, ebook pdf, iOS, download torrent,download epub, for mac, free ebook, for PC, Raffaele Lafortezza,Jiquan Chen,Giovanni Sanesi,Thomas R. Crow,Thomas A. Spies download torrent,iPhone, ebook, zip,read book Patterns and Processes in Forest Landscapes : Multiple Use and Sustainable Management by Raffaele Lafortezza,Jiquan Chen,Giovanni Sanesi,Thomas R. Crow,Thomas A. Spies zip,rarfacebook, paperback, download pdf, pocket, book review, fb2, mobi,