نتایج جستجو برای: leaf phenology

تعداد نتایج: 91213  

2008
R. Stöckli T. Rutishauser D. Dragoni J. O’Keefe P. E. Thornton M. Jolly L. Lu A. S. Denning

[1] Predicting the global carbon and water cycle requires a realistic representation of vegetation phenology in climate models. However most prognostic phenology models are not yet suited for global applications, and diagnostic satellite data can be uncertain and lack predictive power. We present a framework for data assimilation of Fraction of Photosynthetically Active Radiation absorbed by ve...

2017
Rachda Berrached Leila Kadik Hocine Ait Mouheb Andreas Prinzing

Strong seasonality in abiotic harshness and pollinator availability shape the reproductive success of plants. Plant species can avoid or can tolerate harsh abiotic conditions and can attract different pollinators, but it remains unknown (i) which of these capacities is most important for flowering phenology, (ii) whether tolerance/avoidance of abiotic harshness reinforces or relaxes the phenolo...

2013
Yufang Jin Michael L. Goulden

Aim Precipitation controls the production of semi-arid plants through various mechanisms that operate at a range of time-scales. Short-term variation in precipitation affects vegetation through adjustments in plant physiology and leaf phenology, whereas long-term effects are mediated by plant establishment and mortality, community composition and disturbance regimes. Our goal is to use remote s...

    Studying the phenological stages and determining their occurrence in different biological conditions is useful instrumental in restoring and selecting the bases in forestry. Therefore, descriptive method and quantitative analysis were used to study the phenology of Black Locust (Robinia pesudoacacia L.). In descriptive method, the phenomenological observations were recorded during the speci...

2015
Shilong Piao Jianguang Tan Anping Chen Yongshuo H Fu Philippe Ciais Qiang Liu Ivan A Janssens Sara Vicca Zhenzhong Zeng Su-Jong Jeong Yue Li Ranga B Myneni Shushi Peng Miaogen Shen Josep Peñuelas

Recent warming significantly advanced leaf onset in the northern hemisphere. This signal cannot be accurately reproduced by current models parameterized by daily mean temperature (T(mean)). Here using in situ observations of leaf unfolding dates (LUDs) in Europe and the United States, we show that the interannual anomalies of LUD during 1982-2011 are triggered by daytime (Tmax) more than by nig...

2010
Dominique Guyon Marie Guillot Yann Vitasse Hervé Cardot Olivier Hagolle Sylvain Delzon Jean-Pierre Wigneron

a r t i c l e i n f o In mountain forest ecosystems where elevation gradients are prominent, temperature gradient-based phenological variability can be high. However, there are few studies that assess the capability of remote sensing observations to monitor ecosystem phenology along elevation gradients, despite their relevance under climate change. We investigated the potential of medium resolu...

2015
Janosch Sedlacek Julia A. Wheeler Andrés J. Cortés Oliver Bossdorf Guenter Hoch Christian Lexer Sonja Wipf Sophie Karrenberg Mark van Kleunen Christian Rixen

Climate change is altering spring snowmelt patterns in alpine and arctic ecosystems, and these changes may alter plant phenology, growth and reproduction. To predict how alpine plants respond to shifts in snowmelt timing, we need to understand trait plasticity, its effects on growth and reproduction, and the degree to which plants experience a home-site advantage. We tested how the common, long...

2014
C. Szczypta P. Ciais

Two new remotely sensed leaf area index (LAI) and surface soil moisture (SSM) satellite-derived products are compared with two sets of simulations of the ORganizing Carbon and Hydrology In Dynamic EcosystEms (ORCHIDEE) and Interactions between Soil, Biosphere and Atmosphere, CO2-reactive (ISBA-A-gs) land surface models. We analyse the interannual variability over the period 1991– 2008. The leaf...

Journal: :The New phytologist 2017
Jin Wu Cecilia Chavana-Bryant Neill Prohaska Shawn P Serbin Kaiyu Guan Loren P Albert Xi Yang Willem J D van Leeuwen Anthony John Garnello Giordane Martins Yadvinder Malhi France Gerard Raimundo Cosme Oliviera Scott R Saleska

Leaf age structures the phenology and development of plants, as well as the evolution of leaf traits over life histories. However, a general method for efficiently estimating leaf age across forests and canopy environments is lacking. Here, we explored the potential for a statistical model, previously developed for Peruvian sunlit leaves, to consistently predict leaf ages from leaf reflectance ...

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