Phenological Research: Methods for Environmental and Climate Change Analysis

Portada
Irene L. Hudson, Marie R. Keatley
Springer Science & Business Media, 24 de nov. 2009 - 521 pàgines

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.

 

Continguts

1 Introduction and Overview
1
2 Global Framework for Data Collection Data Bases Data Availability Future Networks Online Databases
23
3 Seasonality Seasonality as a Core Business of Phenology
63
4 Societal Adaptation Options to Changes in Phenology
75
5 The Influence of Sampling Method Sample Size and Frequency of Observations on Plant Phenological Patterns and Interpretation in Tropical Fores...
99
6 Regression and Causality
123
7 Combining Messy Phenological Time Series
147
8 Phenology for Topoclimatological Surveys and LargeScale Mapping
159
12 Smoothing Methods
255
a Case Study of Trend Analysis of Snowdrop Flowering
271
14 Modelling the Flowering of Four Eucalypt Species Using New Mixture Transition Distribution Models
299
15 Life History Mediated Responses to Weather Phenology and LargeScale Population Patterns
321
a Case Studies Approach
339
17 Wavelet Analysis of Flowering and Climatic Niche Identification
361
Climatic Niche Identification
393
Alternative Data Sources for Phenological Research
425

9 SpatioTemporal Statistical Methods for Modelling Land Surface Phenology
177
A GAMLSS Approach
209
11 Bayesian Methods in Phenology
229
a Review and New Statistical Approaches
463
Color Plates
511
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