No detailed description available for "Comparative Research across Cultures and Nations".

This book results from a summer school held at Cornell University in 1992. The participants were graduate students and postdoctoral researchers selected from a broad range of interests and backgrounds in ecological studies. The summer school was the second in a continuing series whose underlying aim and the aim of this volume-is to bring together the different methods and concepts underpinning terrestrial, freshwater, and marine ecology. The first volume in the series focused on patch dynamics in these three ecologi cal sectors. Here we have endeavored to complement that volume by extending its comparative approach to the consideration of ecological time series. The types of data and the methods of collection are necessarily very different in these contrasting environments, yet the underlying concept and the technical problems of analysis have much in common. It proved to be of great interest and value to the summer school participants to see the differences and then work through to an appreciation ofthe generalizable concepts. We believe that such an approach must have value as well for a much larger audience, and we have structured this volume to provide a comparable reading experience.

This volume explores the challenges of sustaining long-term ecological research through a historical analysis of the Long Term Ecological Research Program created by the U.S. National Science Foundation in 1980. The book examines reasons for the creation of the Program, an overview of its 40-year history, and in-depth historical analysis of selected sites. Themes explored include the broader impact of this program on society, including its relevance to environmental policy and understanding global climate change, the challenge of extending ecosystem ecology into urban environments, and links to creative arts and humanities projects. A major theme is the evolution of a new type of network science, involving comparative studies, innovation in information management, creation of socio-ecological frameworks, development of governance structures, and formation of an International Long Term Ecological Research Network with worldwide reach. The book’s themes will interest historians, philosophers and social scientists interested in ecological and environmental sciences, as well as researchers across many disciplines who are involved in long-term ecological research.

An accessible introduction to the theory and practice of multivariate analysis for graduates, researchers and professionals dealing with ecological problems.

This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis. For biologists with relatively little prior knowledge of statistics, it introduces a modern, advanced approach to data analysis in an intuitive and accessible way. The book begins by reviewing some core principles in statistics, and relates common methods to the linear model, a general framework for modeling data where the response is continuous. This is then extended to discrete data using generalized linear models, to designs with multiple sampling levels via mixed models, and to situations where there are multiple response variables via model-based approaches to multivariate analysis. Along the way there is an introduction to: important principles in model selection; adaptations of the model to handle non-linearity and cyclical variables; dependence due to structured correlation in time, space or phylogeny; and design-based techniques for inference that can relax some of the modelling assumptions. It concludes with a range of advanced topics in model-based multivariate analysis relevant to the modern ecologist, including fourth corner, latent variable and copula models. Examples span a variety of applications including environmental monitoring, species distribution modeling, global-scale surveys of plant traits, and small field experiments on biological controls. Math Boxes throughout the book explain some of the core ideas mathematically for readers who want to delve deeper, and R code is used throughout. Accompanying code, data, and solutions to exercises can be found in the ecostats R package on CRAN.

The essays in this volume are intended to help social scientists do better comparative research and thereby to improve our possibilities for creating more satisfactory explanations or theories. These broad aims are advanced throughout the book in serval ways: (1) by an identification and assessment of the methodological strategies of exceptionally important comparativists, past and present; (2) by an explication and refinement of logics of procedure that are central to many types of comparative research; (3) by a presentation of new research models that link or bridge heretofore separate lines of comparative inquiry; and (4) by the definition of methodological criteria by which theories and conceptual frameworks can be more fruitfully related to and qualified by comparative studies. Specific problems such as comparability, causal inference, conceptualization, measurement, and sampling are addressed in various sections of particular essays. --From the Preface This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1971.

First multi-year cumulation covers six years: 1965-70.