Tree Diversity Analysis

One of the central research themes in ecology is evaluating the extent to which biological richness is necessary to sustain the Earth's system and the functioning of individual ecosystems. In this volume, for the first time, the relationship between biodiversity and ecosystem processes in forests is thoroughly explored. The text examines the multiple effects of tree diversity on productivity and growth, biogeochemical cycles, animals, pests, and disturbances. Further, the importance of diversity at different scales, ranging from stand management to global issues, is considered. The authors provide both extensive reviews of the existing literature and own datasets. The volume is ideally suited for researchers and practitioners involved in ecosystem management and the sustainable use of forest resources.

Farmers have developed a range of agricultural practices to sustainably use and maintain a wide diversity of crop species in many parts of the world. This book documents good practices innovated by farmers and collects key reviews on good practices from global experts, not only from the case study countries but also from Brazil, China and other parts of Asia and Latin America. A good practice for diversity is defined as a system, organization or process that, over time and space, maintains, enhances and creates crop genetic diversity, and ensures its availability to and from farmers and other users. Drawing on experiences from a UNEP-GEF project on "Conservation and Sustainable Use of Wild and Cultivated Tropical Fruit Tree Diversity for Promoting Livelihoods, Food Security and Ecosystem Services", with case studies from India, Indonesia, Malaysia and Thailand, the authors show how methods for identifying good practices are still evolving and challenges in scaling-up remain. They identify key principles effective as a strategy for mainstreaming good practice into development efforts. Few books draw principles and lessons learned from good practices. This book fills this gap by combining good practices from the research project on tropical fruit trees with chapters from external experts to broaden its scope and relevance.

One of the central research themes in ecology is evaluating the extent to which biological richness is necessary to sustain the Earth's system and the functioning of individual ecosystems. In this volume, for the first time, the relationship between biodiversity and ecosystem processes in forests is thoroughly explored. The text examines the multiple effects of tree diversity on productivity and growth, biogeochemical cycles, animals, pests, and disturbances. Further, the importance of diversity at different scales, ranging from stand management to global issues, is considered. The authors provide both extensive reviews of the existing literature and own datasets. The volume is ideally suited for researchers and practitioners involved in ecosystem management and the sustainable use of forest resources.

This new edition of Numerical Ecology with R guides readers through an applied exploration of the major methods of multivariate data analysis, as seen through the eyes of three ecologists. It provides a bridge between a textbook of numerical ecology and the implementation of this discipline in the R language. The book begins by examining some exploratory approaches. It proceeds logically with the construction of the key building blocks of most methods, i.e. association measures and matrices, and then submits example data to three families of approaches: clustering, ordination and canonical ordination. The last two chapters make use of these methods to explore important and contemporary issues in ecology: the analysis of spatial structures and of community diversity. The aims of methods thus range from descriptive to explanatory and predictive and encompass a wide variety of approaches that should provide readers with an extensive toolbox that can address a wide palette of questions arising in contemporary multivariate ecological analysis. The second edition of this book features a complete revision to the R code and offers improved procedures and more diverse applications of the major methods. It also highlights important changes in the methods and expands upon topics such as multiple correspondence analysis, principal response curves and co-correspondence analysis. New features include the study of relationships between species traits and the environment, and community diversity analysis. This book is aimed at professional researchers, practitioners, graduate students and teachers in ecology, environmental science and engineering, and in related fields such as oceanography, molecular ecology, agriculture and soil science, who already have a background in general and multivariate statistics and wish to apply this knowledge to their data using the R language, as well as people willing to accompany their disciplinary learning with practical applications. People from other fields (e.g. geology, geography, paleoecology, phylogenetics, anthropology, the social and education sciences, etc.) may also benefit from the materials presented in this book. Users are invited to use this book as a teaching companion at the computer. All the necessary data files, the scripts used in the chapters, as well as extra R functions and packages written by the authors of the book, are available online (URL: http://adn.biol.umontreal.ca/~numericalecology/numecolR/).

Anyone working in biodiversity conservation or field ecology should understand and utilize the common-sense process of scientific inquiry: observing surroundings, framing questions, answering those questions through well-designed studies, and, in many cases, applying results to decision making. Yet the interdisciplinary nature of conservation means that many workers are not well versed in the methods of science and may misunderstand or mistrust this indispensable tool.Designing Field Studies for Biodiversity Conservation addresses that problem by offering a comprehensible, practical guide to using scientific inquiry in conservation work. In an engaging and accessible style, award-winning tropical ecologist and teacher Peter Feinsinger melds concepts, methods, and intellectual tools into a unique approach to answering environmental questions through field studies. Focusing on the fundamentals of common sense, independent thinking, and natural history, he considers: framing the question and designing the study interpreting and applying results through judicious use of statistical inference taking into account the natural history of plants, animals, and landscapes monitoring and assessing progress through approaches such as "bioindicator species" or "species diversity measures" helping other interested parties (park guards, local communities, school teachers) use scientific inquiry in addressing their own concernsDetailed appendixes explain technical issues, while numerous sidebars and illustrations provide important background and thought-provoking exercises. Throughout, the author challenges the reader to integrate conceptual thinking with on-the-ground practice in order to make conservation truly effective. Feinsinger concentrates on examples from Latin America but stresses that the approach applies to local conservation concerns or field biology questions in any landscape.Designing Field Studies for Biodiversity Conservation is an essential handbook for staff and researchers working with conservation institutions or projects worldwide, as well as for students and professionals in field ecology, wildlife biology, and related areas.

Providing a wealth of in-depth knowledge of forest ecosystems, this new volume explores a collection of important topics on forest community dynamics. It looks at the diversity of forest ecosystems and explores such aspects as forest products in enhancing local livelihoods and community participation, forage production, forest conservation and sustainable management, regeneration patterns, seed handling, and more. Chapters in Diversity and Dynamics in Forest Ecosystems present new research on forest products, livelihood generation mechanisms of forest-dependent communities, utilization patterns of untapped resources from forests, and the structure of different ecosystems from the tropical to the temperate landscape. This book also features different drivers of community dynamics, such as the role of seed handling in forests, the influence of altitudinal variations, and protected and community-conserved forests on the forest diversity. Chapters also consider the role of non-timber forest products and their significance in livelihood diversification for tribal communities and forage crop genetic resources, and forest resource extraction by forest fringe dwellers. Also explored are aspects of soil organic carbon in agroforestry systems and integrated approaches of sustainable agroforestry development in diverse forest ecosystems. This edition also examines the vegetation structure and regeneration aspects of timberline zone, including diversity of herbaceous flora along the altitudinal gradient. The abundance of in-depth knowledge of the diversity and dynamics of forest ecosystems in this volume will be valuable in conservation and management of forests, which play an important role in the world environment. Forests are presently facing multiple disturbances, and this volume will help forestry professionals and others formulate further strategies to mitigate global climate change and other challenges.

This book is a printed edition of the Special Issue "Urban and Periurban Forest Diversity and Ecosystem Services" that was published in Forests