Deterministic and stochastic analysis of a delayed allelopathic phytoplankton model within fluctuating environment

Nonlinear Analysis: Hybrid Systems

Volumn 2, Issue 3, 2008, Pages 958-970

  Bandyopadhyay, Malay ^a   Saha, Tapan ^b   Pal, Rimpi ^a  

^a SCOTTISH CHURCH COLLEGE   (India)

^b Haldia Government College   (India)

Author keywords

Environmental fluctuation; Hopf bifurcation; Time delay; Toxic phytoplankton; Variance; White noise

Indexed keywords

DRIVING FORCES; DYNAMICAL BEHAVIORS; DYNAMICAL PROPERTIES; ELSEVIER (CO); FLUCTUATION INTENSITY; FOURIER TRANSFORM METHOD; GROWTH LAWS; LOGISTIC GROWTH; MODEL SYSTEMS; NUMERICAL SIMULATIONS; PHYTOPLANKTON SPECIES; STOCHASTIC ANALYSIS; STOCHASTIC DELAY; TOXIC SPECIES; TWO-DIMENSIONAL (2-D) MODELING;

AGRICULTURAL ENGINEERING; ALGAE CONTROL; BESSEL FUNCTIONS; COMPUTER NETWORKS; COMPUTER SIMULATION; DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DIFFERENTIATION (CALCULUS); DYNAMICAL SYSTEMS; DYNAMICS; ECOLOGY; FOURIER TRANSFORMS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MECHANICS; MODAL ANALYSIS; NUMERICAL METHODS; PEST CONTROL; PHYTOPLANKTON; POPULATION STATISTICS; STOCHASTIC PROGRAMMING; TOXIC MATERIALS; TWO DIMENSIONAL;

STOCHASTIC MODELS;

EID: 45449103421     PISSN: 1751570X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nahs.2008.04.001     Document Type: Article

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