Research on System Coherence Evolution of Different Environmental Models

2017 ◽  
Vol 57 (4) ◽  
pp. 1004-1012 ◽  
Author(s):  
Si-Qi Zhang ◽  
Jing-Bin Lu ◽  
Hong Li ◽  
Ji-Ping Liu ◽  
Xiao-Ru Zhang ◽  
...  
1982 ◽  
Vol 14 (12) ◽  
pp. 5-14 ◽  
Author(s):  
D Mackay

The origins of “micropollutants” are discussed and classified. It is suggested that assessing the risk and ensuring an acceptably low level of adverse effects from these substances requires information or control of three factors (exposure, toxicity and characteristics of the victim or organism) which combine to generate the toxic event. Methods of estimating exposure are discussed, especially environmental models. Ultimately, it should be possible to couple these models to toxicity data in a rational, rigorous manner to elucidate the extent of risk and control it to acceptable levels.


1999 ◽  
Vol 14 (6) ◽  
pp. 493-494 ◽  
Author(s):  
Andrea E. Rizzoli ◽  
J.Richard Davis
Keyword(s):  

2000 ◽  
Vol 15 (5) ◽  
pp. 479-488 ◽  
Author(s):  
Jo Ellen Brandmeyer ◽  
Hassan A Karimi
Keyword(s):  

2011 ◽  
Vol 88 (9) ◽  
pp. 1979-1989 ◽  
Author(s):  
Emilio Corchado ◽  
Aitor Mata ◽  
Bruno Baruque ◽  
Juan M. Corchado ◽  
Belén Pérez-Lancho
Keyword(s):  

2008 ◽  
Vol 65 (5) ◽  
pp. 788-794 ◽  
Author(s):  
Thomas W. Therriault ◽  
Leif-Matthias Herborg

Abstract Therriault, T. W., and Herborg, L-M. 2008. Predicting the potential distribution of the vase tunicate Ciona intestinalis in Canadian waters: informing a risk assessment. – ICES Journal of Marine Science, 65: 788–794. A crucial step in characterizing the potential risk posed by non-native species is determining whether a potential invader can establish in the introduced range and what its potential distribution could be. To this end, various environmental models ranging from simple to complex have been applied to predict the potential distribution of an invader, with varying levels of success. Recently, in marine waters, tunicates have received much attention, largely because of their negative impacts on shellfish aquaculture. One of these species is the vase tunicate Ciona intestinalis, which recently has had a negative impact on aquaculture operations in Atlantic Canada and could pose a risk in Pacific Canada. To inform the risk assessment of this species, we evaluated two different types of environmental model. Simple models based on reported temperature or salinity tolerances were relatively uninformative, because almost all waters were deemed suitable. In contrast, a more complex genetic algorithm for rule-set prediction (GARP) environmental niche model, based on documented Canadian occurrence points, provided informative projections of the potential distribution in Canadian waters. In addition to informing risk assessments, these predictions can be used to focus monitoring activities, particularly towards vectors that could transport C. intestinalis to these favourable environments.


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