Phenological Research [electronic resource] : Methods for Environmental and Climate Change Analysis /
Hudson, Irene L.editor.
Keatley, Marie R.editor.
As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
Description based upon print version of record.
Includes bibliographical references and index.
and Overview -- Global Framework for Data Collection – Data Bases, Data Availability, Future Networks, Online Databases -- Seasonality as a Core Business of Phenology -- Societal adaptation Options to Changes in Phenology -- The Influence of Sampling Method, Sample Size, and Frequency of Observations on Plant Phenological Patterns and Interpretation in Tropical Forest Trees -- Regression and Causality -- Combining Messy Phenological Time Series -- Phenology for Topoclimatological Surveys and Large-Scale Mapping -- Spatio-Temporal Statistical Methods for Modelling Land Surface Phenology -- Climatic Influences on the Flowering Phenology of Four Eucalypts: A GAMLSS Approach -- Bayesian Methods in Phenology -- Smoothing Methods -- Accounting for Correlated Error Structure Within Phenological Data: a Case Study of Trend Analysis of Snowdrop Flowering -- Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models -- Life History Mediated Responses to Weather, Phenology and Large-Scale Population Patterns -- Applications of Circular Statistics in Plant Phenology: a Case Studies Approach -- Wavelet Analysis of Flowering and Climatic Niche Identification -- Singular Spectrum Analysis: Climatic Niche Identification -- Herbarium Collections and Photographic Images: Alternative Data Sources for Phenological Research -- Meta-Analysis and Its Application in Phenological Research: a Review and New Statistical Approaches.
As climate change continues to dominate the international environmental agenda, phenology – the study of the timing of recurring biological events – has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an ‘early warning system’ for climate change impact. A multidisciplinary science involving many branches of ecology, geography and remote sensing, phenology to date has lacked a coherent methodological text. This new synthesis, including contributions from many of the world’s leading phenologists, therefore fills a critical gap in the current biological literature. Providing critiques of current methods, as well as detailing novel and emerging methodologies, the book, with its extensive suite of references, provides readers with an understanding of both the theoretical basis and the potential applications required to adopt and adapt new analytical and design methods. An invaluable source book for researchers and students in ecology and climate change science, the book also provides a useful reference for practitioners in a range of sectors, including human health, fisheries, forestry, agriculture and natural resource management.
Applied ecology.
Probabilities.
Environmental sciences.
Statistics .
Environment.
Climate change.
Applied Ecology.
Probability Theory and Stochastic Processes.
Math. Appl. in Environmental Science.
Statistics for Life Sciences, Medicine, Health Sciences.
Environment, general.
Climate Change.