Cryptic phenology in plants Case studies, implications, and recommendations

Cryptic phenology in plants : Case studies, implications, and recommendations

© 2019 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 25(2019), 11 vom: 14. Nov., Seite 3591-3608
1. Verfasser: Albert, Loren P (VerfasserIn)
Weitere Verfasser: Restrepo-Coupe, Natalia, Smith, Marielle N, Wu, Jin, Chavana-Bryant, Cecilia, Prohaska, Neill, Taylor, Tyeen C, Martins, Giordane A, Ciais, Philippe, Mao, Jiafu, Arain, M Altaf, Li, Wei, Shi, Xiaoying, Ricciuto, Daniel M, Huxman, Travis E, McMahon, Sean M, Saleska, Scott R
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2019
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Review climate change dynamic global vegetation models plant ecology plant physiology seasonality terrestrial biosphere models whole plant biology
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520 |a Plant phenology-the timing of cyclic or recurrent biological events in plants-offers insight into the ecology, evolution, and seasonality of plant-mediated ecosystem processes. Traditionally studied phenologies are readily apparent, such as flowering events, germination timing, and season-initiating budbreak. However, a broad range of phenologies that are fundamental to the ecology and evolution of plants, and to global biogeochemical cycles and climate change predictions, have been neglected because they are "cryptic"-that is, hidden from view (e.g., root production) or difficult to distinguish and interpret based on common measurements at typical scales of examination (e.g., leaf turnover in evergreen forests). We illustrate how capturing cryptic phenology can advance scientific understanding with two case studies: wood phenology in a deciduous forest of the northeastern USA and leaf phenology in tropical evergreen forests of Amazonia. Drawing on these case studies and other literature, we argue that conceptualizing and characterizing cryptic plant phenology is needed for understanding and accurate prediction at many scales from organisms to ecosystems. We recommend avenues of empirical and modeling research to accelerate discovery of cryptic phenological patterns, to understand their causes and consequences, and to represent these processes in terrestrial biosphere models 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Research Support, U.S. Gov't, Non-P.H.S. 
650 4 |a Review 
650 4 |a climate change 
650 4 |a dynamic global vegetation models 
650 4 |a plant ecology 
650 4 |a plant physiology 
650 4 |a seasonality 
650 4 |a terrestrial biosphere models 
650 4 |a whole plant biology 
700 1 |a Restrepo-Coupe, Natalia  |e verfasserin  |4 aut 
700 1 |a Smith, Marielle N  |e verfasserin  |4 aut 
700 1 |a Wu, Jin  |e verfasserin  |4 aut 
700 1 |a Chavana-Bryant, Cecilia  |e verfasserin  |4 aut 
700 1 |a Prohaska, Neill  |e verfasserin  |4 aut 
700 1 |a Taylor, Tyeen C  |e verfasserin  |4 aut 
700 1 |a Martins, Giordane A  |e verfasserin  |4 aut 
700 1 |a Ciais, Philippe  |e verfasserin  |4 aut 
700 1 |a Mao, Jiafu  |e verfasserin  |4 aut 
700 1 |a Arain, M Altaf  |e verfasserin  |4 aut 
700 1 |a Li, Wei  |e verfasserin  |4 aut 
700 1 |a Shi, Xiaoying  |e verfasserin  |4 aut 
700 1 |a Ricciuto, Daniel M  |e verfasserin  |4 aut 
700 1 |a Huxman, Travis E  |e verfasserin  |4 aut 
700 1 |a McMahon, Sean M  |e verfasserin  |4 aut 
700 1 |a Saleska, Scott R  |e verfasserin  |4 aut 
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773 1 8 |g volume:25  |g year:2019  |g number:11  |g day:14  |g month:11  |g pages:3591-3608 
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