Comparative Analyses Of Ecosystems
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Comparative Analyses of Ecosystems
Author: Jonathan Cole
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Arising from the third Cary Conference held in 1989, Comparative Analyses of Ecosystems investigates the utility and limitations of cross-system comparisons in ecology. The contributors, all well-known in their field, support their conclusions on the use and meaning of such comparisons by presenting novel analyses of data utilizing a variety of cross-system approaches in marine, freshwater, and terrestrial systems.
Tundra Ecosystems
This title will introduce readers to tundra ecosystems, the plants and animals that thrive there, its climate, its food web, any threats to it, and conservation efforts. Readers will also learn about the most well known tundras and their unique characteristics. . Aligned to Common Core Standards and correlated to state standards. Core Library is an imprint of Abdo Publishing, a division of ABDO.
Ecological Statistics
The application and interpretation of statistics are central to ecological study and practice. Ecologists are now asking more sophisticated questions than in the past. These new questions, together with the continued growth of computing power and the availability of new software, have created a new generation of statistical techniques. These have resulted in major recent developments in both our understanding and practice of ecological statistics. This novel book synthesizes a number of these changes, addressing key approaches and issues that tend to be overlooked in other books such as missing/censored data, correlation structure of data, heterogeneous data, and complex causal relationships. These issues characterize a large proportion of ecological data, but most ecologists' training in traditional statistics simply does not provide them with adequate preparation to handle the associated challenges. Uniquely, Ecological Statistics highlights the underlying links among many statistical approaches that attempt to tackle these issues. In particular, it gives readers an introduction to approaches to inference, likelihoods, generalized linear (mixed) models, spatially or phylogenetically-structured data, and data synthesis, with a strong emphasis on conceptual understanding and subsequent application to data analysis. Written by a team of practicing ecologists, mathematical explanations have been kept to the minimum necessary. This user-friendly textbook will be suitable for graduate students, researchers, and practitioners in the fields of ecology, evolution, environmental studies, and computational biology who are interested in updating their statistical tool kits. A companion web site provides example data sets and commented code in the R language.