Assessment of the Multispecies Freshwater Biomonitor™ (MFB) in a marine context: the Green crab (Carcinus maenas) as an early warning indicator

2010 ◽  
Vol 12 (8) ◽  
pp. 1566 ◽  
Author(s):  
Sharon C. Stewart ◽  
Jaimie T. A. Dick ◽  
Peter R. Laming ◽  
Almut Gerhardt
Keyword(s):  
Early Warning ◽  
Carcinus Maenas ◽  
Green Crab ◽  
Early Warning Indicator ◽  
Multispecies Freshwater Biomonitor

Linking eelgrass decline and impacts on associated fish communities to European green crab Carcinus maenas invasion

2016 ◽  
Vol 548 ◽  
pp. 31-45 ◽  
Author(s):  
K Matheson ◽  
CH McKenzie ◽  
RS Gregory ◽  
DA Robichaud ◽  
IR Bradbury ◽  
...  
Keyword(s):  
Carcinus Maenas ◽  
Fish Communities ◽  
Green Crab ◽  
European Green Crab

Thermogeography predicts the potential global range of the invasive European green crab (Carcinus maenas)

2010 ◽  
Vol 16 (2) ◽  
pp. 243-255 ◽  
Author(s):  
T. J. Compton ◽  
J. R. Leathwick ◽  
G. J. Inglis
Keyword(s):  
Carcinus Maenas ◽  
Green Crab ◽  
European Green Crab

scholarly journals The Research of Coal and Gas Outburst Warning Based on Logistic Regression and Geographic Information System

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bo You ◽  
Bo Li ◽  
Shi Liang Shi ◽  
He Qing Liu ◽  
Yi Lu ◽  
...  
Keyword(s):  
Information System ◽  
Logistic Regression ◽  
Geographic Information System ◽  
Early Warning ◽  
Warning System ◽  
Indicator System ◽  
Geographic Information ◽  
Coal And Gas Outburst ◽  
Gas Outburst ◽  
Early Warning Indicator

Coal and gas outburst is one of the major disasters in the safety production of coal mine. According to the mechanism of coal and gas outburst, based on the comprehensive analysis of various influencing factors of coal and gas outburst, with the principles of selected early warning indicator, the basic information database of coal and gas outburst warning is constructed, and the information data query function is realized. The mathematical model of coal and gas outburst warning is established by the logistic regression analysis based on the gas concentration, the gas desorption index of drill cuttings, and the initial velocity of gas emission from the borehole. The multivariate information coupled warning was conducted according to the selected early warning indicator system, and the early warning level was divided with the result of early warning. The design and research of the coal and gas outburst warning system are carried out based on the geographic information system (GIS). The coal and gas outburst warning system was verified by taking the Tunliu mine of Lu’an Group as an example. The establishment of the early warning system is a new technical way to the early warning management of coal and gas outburst and can provide a guarantee for coal and gas outburst prevention.

scholarly journals THE MAHALANOBIS DISTANCE BETWEEN THE HURST COEFFICIENT AND THE ALPHA-STABLE PARAMETER: AN EARLY WARNING INDICATOR OF CRISES

2016 ◽  
Vol 110 (2) ◽  
Author(s):  
B. Vallejo-Jim\'enez ◽  
F. Venegas-Mart\'inez ◽  
Y.V. Soriano-Morales
Keyword(s):  
Early Warning ◽  
Mahalanobis Distance ◽  
Early Warning Indicator ◽  
Hurst Coefficient

Infestation of an Introduced Host, the European Green Crab, Carcinus maenas, by a Symbiotic Nemertean Egg Predator, Carcinonemertes epialti

1996 ◽  
Vol 82 (3) ◽  
pp. 449 ◽  
Author(s):  
Mark E. Torchin ◽  
Kevin D. Lafferty ◽  
Armand M. Kuris
Keyword(s):  
Carcinus Maenas ◽  
Green Crab ◽  
Egg Predator ◽  
European Green Crab

Biotic resistance to green crab, Carcinus maenas, in California bays

2007 ◽  
Vol 151 (6) ◽  
pp. 2231-2243 ◽  
Author(s):  
Gregory C. Jensen ◽  
P. Sean McDonald ◽  
David A. Armstrong
Keyword(s):  
Biotic Resistance ◽  
Carcinus Maenas ◽  
Green Crab
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