Phenology Of Ecosystem Processes

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Phenology of Ecosystem Processes

Phenology of Ecosystem Processes
Author :
Publisher : Springer Science & Business Media
Total Pages : 281
Release :
ISBN-10 : 9781441900265
ISBN-13 : 1441900268
Rating : 4/5 (268 Downloads)

Book Synopsis Phenology of Ecosystem Processes by : Asko Noormets

Download or read book Phenology of Ecosystem Processes written by Asko Noormets and published by Springer Science & Business Media. This book was released on 2009-06-19 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Terrestrial carbon balance is uncertain at the regional and global scale. A significant source of variability in mid-latitude ecosystems is related to the timing and duration of phenological phases. Spring phenology, in particular, has disproportionate effects on the annual carbon balance. However, the traditional phenological indices that are based on leaf-out and flowering times of select indicator species are not universally amenable for predicting the temporal dynamics of ecosystem carbon and water exchange. Phenology of Ecosystem Processes evaluates current applications of traditional phenology in carbon and H2O cycle research, as well as the potential to identify phenological signals in ecosystem processes themselves. The book summarizes recent progress in the understanding of the seasonal dynamics of ecosystem carbon and H2O fluxes, the novel use of various methods (stable isotopes, time-series, forward and inverse modeling), and the implications for remote sensing and global carbon cycle modeling. Each chapter includes a literature review, in order to present the state-of-the-science in the field and enhance the book’s usability as an educational aid, as well as a case study to exemplify the use and applicability of various methods. Chapters that apply a specific methodology summarize the successes and challenges of particular methods for quantifying the seasonal changes in ecosystem carbon, water and energy fluxes. The book will benefit global change researchers, modelers, and advanced students.


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