N
Nikolaos M. Fyllas
Researcher at University of the Aegean
Publications - 66
Citations - 7824
Nikolaos M. Fyllas is an academic researcher from University of the Aegean. The author has contributed to research in topics: Vegetation & Biology. The author has an hindex of 29, co-authored 59 publications receiving 6262 citations. Previous affiliations of Nikolaos M. Fyllas include National and Kapodistrian University of Athens & Environmental Change Institute.
Papers
More filters
Journal ArticleDOI
Analysing Amazonian forest productivity using a new individual and trait-based model (TFS v.1)
Nikolaos M. Fyllas,Nikolaos M. Fyllas,Emanuel Gloor,Lina M. Mercado,Stephen Sitch,Carlos A. Quesada,Tomas F. Domingues,David W. Galbraith,A. Torre-Lezama,Emilio Vilanova,Hirma Ramírez-Angulo,Niro Higuchi,David A. Neill,Marcos Silveira,Leandro Valle Ferreira,Yadvinder Malhi,Oliver L. Phillips,Jon Lloyd,Jon Lloyd +18 more
TL;DR: In this article, an individual-based model of tropical forest growth, designed to take full advantage of the forest census data available from the Amazonian Forest Inventory Network (RAINFOR), has been developed.
Journal ArticleDOI
Variations in Amazon forest productivity correlated with foliar nutrients and modelled rates of photosynthetic carbon supply
Lina M. Mercado,S. Patiño,Tomas F. Domingues,Nikolaos M. Fyllas,Graham P. Weedon,Stephen Sitch,Stephen Sitch,Carlos A. Quesada,Carlos A. Quesada,Oliver L. Phillips,Luiz E. O. C. Aragão,Yadvinder Malhi,A. J. Dolman,Natalia Restrepo-Coupe,Natalia Restrepo-Coupe,Scott R. Saleska,Timothy R. Baker,Samuel Almeida,Niro Higuchi,Jon Lloyd,Jon Lloyd +20 more
TL;DR: In this article, the authors explore the implications of allowing key nutrients such as N and P to constrain the photosynthesis of Amazon forests, and also examine the relationship between modelled rates of photosynthesis and the observed gradients in woody biomass production.
Journal ArticleDOI
Structural, physiognomic and above-ground biomass variation in savanna–forest transition zones on three continents – how different are co-occurring savanna and forest formations?
Elmar Veenendaal,Mireia Torello-Raventos,Ted R. Feldpausch,Tomas F. Domingues,F. Gerard,Franziska Schrodt,Gustavo Saiz,Gustavo Saiz,Carlos A. Quesada,Carlos A. Quesada,Gloria Djagbletey,Andrew Ford,J Kemp,Beatriz Schwantes Marimon,Ben Hur Marimon-Junior,Eddie Lenza,J. A. Ratter,Leandro Maracahipes,Denise Sasaki,Bonaventure Sonké,Louis Zapfack,Daniel Villarroel,Michael P. Schwarz,F. Yoko Ishida,F. Yoko Ishida,Martin Gilpin,Gabriela Bielefeld Nardoto,Kofi Affum-Baffoe,L. Arroyo,Keith J. Bloomfield,G. Ceca,Halidou Compaore,Kalu Davies,Adama Diallo,Nikolaos M. Fyllas,J. Gignoux,Fidele Hien,Michelle L. Johnson,Eric Mougin,Pierre Hiernaux,Timothy J. Killeen,Daniel J. Metcalfe,Heloisa Sinatora Miranda,Marc K. Steininger,Karle Sykora,Michael I. Bird,John Grace,Simon L. Lewis,Simon L. Lewis,Oliver L. Phillips,Jon Lloyd,Jon Lloyd +51 more
TL;DR: In this article, the authors present detailed stratified floristic and structural analyses for forest and savanna stands located mostly within zones of transition (where both vegetation types occur in close proximity) in Africa, South America and Australia.
Journal ArticleDOI
Coordination of physiological and structural traits in Amazon forest trees
S. Patiño,Nikolaos M. Fyllas,Timothy R. Baker,R. Paiva,Carlos A. Quesada,A. J. B. Santos,Michael P. Schwarz,H. ter Steege,Oliver L. Phillips,Jon Lloyd,Jon Lloyd +10 more
TL;DR: Although genetically determined foliar traits such as those associated with leaf construction costs coordinate independently of structural characteristics such as maximum height, others such as the classical "leaf economic spectrum" covary with structural traitssuch as leaf size and ΦLS.
Journal ArticleDOI
Light inhibition of leaf respiration as soil fertility declines along a post-glacial chronosequence in New Zealand: an analysis using the Kok method
Owen K. Atkin,Matthew H. Turnbull,Joana Zaragoza-Castells,Nikolaos M. Fyllas,Nikolaos M. Fyllas,Jon Lloyd,Jon Lloyd,Patrick Meir,Patrick Meir,Kevin L. Griffin +9 more
TL;DR: The chronosequence was characterised by decreasing RD, RL and A, reduced [N] and [P] and increasing MA as soil age increased, and these findings have important implications for predictive models that seek to account for light inhibition of R.