Fourier analysis to detect phenological cycles using long‐term tropical field data and simulations-Reference-Cited by-同舟云学术

Fourier analysis to detect phenological cycles using long‐term tropical field data and simulations

Published:2016-12-13 Issue:5 Volume:8 Page:530-540
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Bush Emma R.¹,Abernethy Katharine A.¹²,Jeffery Kathryn¹³,Tutin Caroline¹,White Lee¹²³,Dimoto Edmond³,Dikangadissi Jean‐Thoussaint³,Jump Alistair S.¹,Bunnefeld Nils¹

Affiliation:

1. Biological and Environmental Sciences Faculty of Natural Sciences University of Stirling Stirling FK9 4LA UK

2. Institut de Recherche en Écologie Tropicale CENAREST BP 842 Libreville Gabon

3. Agence Nationale des Parcs Nationaux (ANPN) B.P. 20379 Libreville Gabon

Funder

Centre International de Recherches Médicales de Franceville

Agence Nationale Des Parcs Nationaux

University of Stirling

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12704

Reference37 articles.

1. C. Agostinelli U. Lund 2013

2. Factors Influencing Tree Phenology in Tai National Park, Cote d'Ivoire1

3. Fourier Analysis of Time Series

4. Cascading effects of climate extremes on vertebrate fauna through changes to low-latitude tree flowering and fruiting phenology

5. Long-term reproductive behaviour of woody plants across seven Bornean forest types in the Gunung Palung National Park (Indonesia): suprannual synchrony, temporal productivity and fruiting diversity

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