Identification of non-linear influences on the seasonal ozone dose-response of sensitive and resistant clover clones using artificial neural networks

Ecological Modelling

Volumn 129, Issue 2-3, 2000, Pages 153-168

  Ball, G R ^a   Palmer Brown, D ^a   Fuhrer, J ^b   Skarby L ^c   Gimeno, B S ^d   Mills, G ^e  

^a NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

^b Institut fur Umweltschutz und Landwirtschaft   (Switzerland)

^c IVL SWEDISH ENVIRONMENTAL RESEARCH INSTITUTE   (Sweden)

^d CIEMAT   (Spain)

^e CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

Author keywords

AOT40; Artificial neural networks; Biomass dose response; Biomonitoring; Climatic factors; Clover Clones; Equation extraction; Ozone

Indexed keywords

BIOMASS; CLONE; CULTIVAR; DOSE RESPONSE; MODEL; OZONE;

CROP PLANT; ECOLOGICAL MODELING; OZONE; YIELD;

TRIFOLIUM REPENS;

EID: 0034732862     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(00)00234-9     Document Type: Article

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