Using a conceptual Bayesian network to investigate environmental management of vegetable production in the Lake Taihu region of China

Environmental Modelling and Software

Volumn 46, Issue , 2013, Pages 170-181

  Nash, David ^a   Waters, David ^b   Buldu, Andres ^c   Wu, Yuming ^d   Lin, Yaping ^d   Yang, Weiqiu ^e   Song, Yuzhi ^f   Shu, Jianhua ^e   Qin, Wei ^e   Hannah, Murray ^a  

^a DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^b EWATER COOPERATIVE RESEARCH CENTRE   (Australia)

^c Earth Systems 19F World Plaza ^*  (China)

^d Suzhou Xiangcheng YuHe Vegetable Production and Marketing Professional Cooperatives   (China)

^e Suzhou Agriculture College   (China)

^f NANJING INSTITUTE OF GEOGRAPHY AND LIMNOLOGY   (China)

Author keywords

Bayesian Network; China; Exports; Modelling; Nitrogen; Vegetable

Indexed keywords

CAUSAL RELATIONSHIPS; CHINA; CUMULATIVE EFFECTS; EXPORTS; IRRIGATION PRACTICES; IRRIGATION SCHEDULING; MITIGATION STRATEGY; VEGETABLE PRODUCTIONS;

ENVIRONMENTAL MANAGEMENT; FERTILIZERS; INTERNATIONAL TRADE; IRRIGATION; LAKES; MODELS; NITROGEN; OPTIMIZATION; VEGETABLES;

BAYESIAN NETWORKS;

AGRI-ENVIRONMENTAL POLICY; ALTERNATIVE AGRICULTURE; BAYESIAN ANALYSIS; CONCEPTUAL FRAMEWORK; CROP PRODUCTION; ENVIRONMENTAL MANAGEMENT; FERTILIZER APPLICATION; IRRIGATION SYSTEM; NITROGEN; NITROGEN CYCLE; OPTIMIZATION; RAINWATER; RUNOFF; SUSTAINABILITY; VEGETABLE;

CHINA; TAIHU LAKE;

EID: 84892504512     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.03.008     Document Type: Article

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