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A process-based model designed for filling of large data gaps in tower-based measurements of net ecosystem productivity

Author
ZISHENG XING1 2 ; BOURQUE, Charles P.-A1 3 ; MENG, Fan-Rui1 ; COX, Roger M4 ; SWIFT, D. Edwin4 ; TIANSHAN ZHA5 ; CHOW, Lien2
[1] Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, E3B 6C2, Canada
[2] Potato Research Centre, 850 Lincoln Road, P.O. Box 20280, Fredericton, New Brunswick, E3B 4Z7, Canada
[3] Lanzhou Regional Climate Centre, 2070 Donggang East Road, Lanzhou, 730020, Gansu, China
[4] Natural Resources Canada, Canadian Forest Service, Atlantic Forestry Centre, P.O. Box 4000, Fredericton, New Brunswick, E3B 5P7, Canada
[5] Climate Research Branch, Environment Canada, 11 Innovation RD, Saskatoon, Saskatchewan, S7N 3H5, Canada
Source

Ecological modelling. 2008, Vol 213, Num 2, pp 165-179, 15 p ; ref : 1 p

CODEN
ECMODT
ISSN
0304-3800
Scientific domain
Ecology; Environment
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
CO2 flux Extrapolation experiments Gap-filling model (GFM) for large Net ecosystem productivity Punch hole experiments data gaps
Keyword (fr)
Dioxyde de carbone Ecosystème Modèle Productivité Remplissage Trou
Keyword (en)
Carbon dioxide Ecosystem Models Productivity Filling Hole
Keyword (es)
Carbono dióxido Ecosistema Modelo Productividad Relleno Hoyo
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14A General aspects. Techniques / 002A14A02 Methods and techniques (sampling, tagging, trapping, modelling...)

Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B04 Synecology / 002A14B04A General aspects

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
20250797

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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