000 04376nam a22005175i 4500
001 978-90-481-3335-2
003 DE-He213
005 20140220084557.0
007 cr nn 008mamaa
008 100301s2010 ne | s |||| 0|eng d
020 _a9789048133352
_9978-90-481-3335-2
024 7 _a10.1007/978-90-481-3335-2
_2doi
050 4 _aQH541.29
072 7 _aRNC
_2bicssc
072 7 _aSCI020000
_2bisacsh
072 7 _aNAT011000
_2bisacsh
082 0 4 _a577
_223
100 1 _aHudson, Irene L.
_eeditor.
245 1 0 _aPhenological Research
_h[electronic resource] :
_bMethods for Environmental and Climate Change Analysis /
_cedited by Irene L. Hudson, Marie R. Keatley.
264 1 _aDordrecht :
_bSpringer Netherlands,
_c2010.
300 _bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aand 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.
520 _aAs 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.
650 0 _aLife sciences.
650 0 _aApplied Ecology.
650 0 _aStatistics.
650 0 _aEnvironmental sciences.
650 0 _aClimatic changes.
650 1 4 _aLife Sciences.
650 2 4 _aApplied Ecology.
650 2 4 _aMath. Appl. in Environmental Science.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aEnvironment, general.
650 2 4 _aClimate Change.
700 1 _aKeatley, Marie R.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9789048133345
856 4 0 _uhttp://dx.doi.org/10.1007/978-90-481-3335-2
912 _aZDB-2-SBL
999 _c113322
_d113322