Ecosystem health assessment of the plant-dominated Baiyangdian Lake based on eco-exergy
- Author
- XU, F1 ; YANG, Z. F1 ; CHEN, B1 ; ZHAO, Y. W1
[1] State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China - Source
Ecological modelling. 2011, Vol 222, Num 1, pp 201-209, 9 p ; ref : 3/4 p
- CODEN
- ECMODT
- ISSN
- 0304-3800
- Scientific domain
- Ecology; Environment
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Baiyangdian Lake Eco-exergy Ecosystem health assessment Plant-dominated lake
- Keyword (fr)
- Ecosystème Exergie Lac Modèle Qualité environnement Surveillance écologique Santé écosystème
- Keyword (en)
- Ecosystem Exergy Lakes Models Environment quality Environmental monitoring Ecosystem health
- Keyword (es)
- Ecosistema Exergía Lago Modelo Calidad medio ambiente Vigilancia ecológica
- 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
- 23412314
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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DOI
10.1016/j.ecolmodel.2010.09.027 
https://dx.doi.org/10.1016/j.ecolmodel.2010.09.027
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