Real World Ecology Large-Scale and Long-Term Case Studies and Methods /

Increasingly, ecosystem management and restoration efforts require understanding ecological processes that occur at large temporal and spatial scales. These phenomena are difficult to study using traditional statistical approaches that require randomization, replication, and control conditions. This...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Miao, ShiLi. (Editor), Carstenn, Susan. (Editor), Nungesser, Martha. (Editor)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2009.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-0-387-77942-3
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505 0 # |a Foreword -- Introduction -- Structural Equation Modeling and Ecological Experiments -- Approaches to Predicting Broad-scale Regime Shifts Using Changing Pattern-process Relationship Across Scales -- Integrating Multiple Spatial Controls and Temporal Sampling Schemes to Explore Short- and Long-term Ecosystem Response to Fire in an Everglades Wetland -- Assessing and Monitoring Fire Effects in Western Forests: Statistical Challenges and Opportunities -- Bayesian Hierarchical/Multilevel Models for Inference and Prediction Using Cross-Sectional Lake Data -- Avian Spatial Responses to Forest Spatial Heterogeneity at the Landscape Level: Conceptual and Statistical Challenges -- The Role of Paleoecology in Whole-Ecosystem Experiments -- Identifying Pre-Impacted Reference Conditions from Multiple Spatial and Temporal Sources -- A Spatially-Explicit, Mass-Balance Analysis of Watershed-Scale Controls on Lake Chemistry -- Gradual Global Environmental Change in the Real World and Step Manipulative Experiments in Laboratory and Field: The Necessity of Inverse Analysis -- Ecology in Real World: The Way Forward. 
520 # # |a Increasingly, ecosystem management and restoration efforts require understanding ecological processes that occur at large temporal and spatial scales. These phenomena are difficult to study using traditional statistical approaches that require randomization, replication, and control conditions. This book presents nine case studies highlighting new quantitative tools that scientists can apply to the design and analysis of large-scale, long-term experiments. Each case study identifies inherent constraints posed by traditional experimental tools and then suggests solutions that match appropriate novel experimental designs and analyses to the research questions. A conceptual framework has emerged from these studies relating spatial and temporal scales of scientific questions to methods, available data, and current knowledge about processes and mechanisms. This book provides invaluable guidance to ecologists who conceptualize, design, analyze, and synthesize real world ecological research. 
650 # 0 |a Life sciences. 
650 # 0 |a Applied Ecology. 
650 # 0 |a Endangered ecosystems. 
650 # 0 |a Landscape ecology. 
650 # 0 |a Ecology. 
650 # 0 |a Statistics. 
650 # 0 |a Nature Conservation. 
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650 2 4 |a Ecosystems. 
650 2 4 |a Applied Ecology. 
650 2 4 |a Landscape Ecology. 
650 2 4 |a Theoretical Ecology/Statistics. 
650 2 4 |a Statistics for Life Sciences, Medicine, Health Sciences. 
650 2 4 |a Nature Conservation. 
700 1 # |a Carstenn, Susan.  |e editor. 
700 1 # |a Nungesser, Martha.  |e editor. 
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