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Simulating spatially and physiologically structured populations
Author(s) -
Gurney William S. C.,
Speirs Douglas C.,
Wood Simon N.,
Clarke Elizabeth D.,
Heath Michael R.
Publication year - 2001
Publication title -
journal of animal ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.134
H-Index - 157
eISSN - 1365-2656
pISSN - 0021-8790
DOI - 10.1046/j.0021-8790.2001.00549.x
Subject(s) - calanus finmarchicus , biological dispersal , copepod , population , statistical physics , product (mathematics) , space (punctuation) , construct (python library) , tracing , lagrangian , computer science , ecology , mathematics , physics , biology , crustacean , geometry , demography , sociology , operating system , programming language
Summary1 Population dynamics are frequently the product of a subtle interplay between development and dispersal in an inhomogeneous environment. Simulations of spatially inhomogeneous populations with physiologically distinguishable individuals are a known source of numerical difficulty. 2 This paper reports a new and highly efficient algorithm for this problem, whose accuracy we demonstrate by comparison with conventional numerical solutions of one‐dimensional problems. 3 As an illustration, we construct a two (space)‐dimensional model of a copepod ( Calanus finmarchicus ) in the NE Atlantic, and demonstrate that its predictions correspond closely with those of an equivalent Lagrangian ensemble.