๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Phenological Research Volume 21 || Meta-Analysis and Its Application in Phenological Research: a Review and New Statistical Approaches

โœ Scribed by Hudson, Irene L.; Keatley, Marie R.


Book ID
111948818
Publisher
Springer Netherlands
Year
2009
Tongue
Dutch
Weight
927 KB
Edition
2010
Category
Article
ISBN
9048133351

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โœฆ Synopsis


As climate change continues to dominate the international environmental agenda, phenology โ€“ the study of the timing of recurring biological events โ€“ has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an โ€˜early warning systemโ€™ 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 worldโ€™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 andย natural resource management.


๐Ÿ“œ SIMILAR VOLUMES


Phenological Research Volume 21 || Appli
โœ Hudson, Irene L.; Keatley, Marie R. ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Springer Netherlands ๐ŸŒ Dutch โš– 871 KB

As climate change continues to dominate the international environmental agenda, phenology โ€“ the study of the timing of recurring biological events โ€“ has received increasing research attention, leading to an emerging consensus that phenology can be viewed as an โ€˜early warning systemโ€™ for climate chan