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Photosynthetic response to light and temperature of the seagrass Cymodocea nodosa and the prediction of its seasonality

Author
PEREZ, M; ROMERO, J
Univ. Barcelona, fac. biologia, dep. ecologia, 08028 Barcelona, Spain
Source

Aquatic botany. 1992, Vol 43, Num 1, pp 51-62 ; ref : 33 ref

CODEN
AQBODS
ISSN
0304-3770
Scientific domain
Plant biology and physiology; Ecology
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Keyword (fr)
Delta Etude en laboratoire Facteur milieu Facteur photique Facteur thermique Facteur trophique Herbier milieu marin Photosynthèse Productivité primaire Respiration Variation saisonnière Cymodocea nodosa Espagne Angiospermae Monocotyledones Spermatophyta Zannichelliaceae Europe
Keyword (en)
Delta Laboratory study Environmental factor Light effect Thermal factor Trophic factor Seagrass bed Photosynthesis Primary productivity Respiration Seasonal variation Spain Angiospermae Monocotyledones Spermatophyta Zannichelliaceae Europe
Keyword (es)
Delta Estudio en laboratorio Factor medio Factor fótico Factor térmico Factor trófico Herbario medio marino Fotosíntesis Productividad primaria Respiración Variación estacional España Angiospermae Monocotyledones Spermatophyta Zannichelliaceae Europa
Classification
Pascal
002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A14 Animal, plant and microbial ecology / 002A14B Animal and plant ecology / 002A14B02 Autoecology / 002A14B02B Plants and fungi

Discipline
Animal, vegetal and microbial ecology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
5387749

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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