کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4376175 1617491 2013 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Internal dynamics of NPZD type ecosystem models
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Internal dynamics of NPZD type ecosystem models
چکیده انگلیسی

The marine ecosystem is an essential part of the Earth's carbon cycle. Therefore, to create model-based scenarios of the future of the Earth's climate, it is inevitable to consider the relevant processes of this system within numerical simulations. In the last two decades, a wide range of submodels of varying complexity have been established representing the marine ecosystem. Their specific behaviour and characteristic responses to, e.g., external forcings, however, are only merely understood. In this study, we present a mathematical method to assess the fundamental behaviour of such models. Three marine ecosystem models of NPZD type, varying in their formulation of phytoplankton loss and zooplankton loss, are analyzed. Following the qualitative theory of dynamical systems, model specific behaviours as well as similarities of the individual models are revealed. For each model, three equilibria are detected and their stability properties are analyzed. Parameters that significantly affect the model solutions are pointed out. Parameter constellations and initial values that cause characteristic model behaviours are determined and discussed. The results obtained provide the basic, theoretical knowledge which is essentially needed to use models in an effective and appropriate way.


► The internal dynamics of three marine ecosystem models of NPZD type are analyzed.
► Equilibrium solutions are determined and their respective quality is analyzed.
► Dynamic characteristics of the individual model formulations are exposed.
► Parameter relations affecting the model output are revealed.
► Initial values leading to specific qualitative solutions are presented.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 254, 10 April 2013, Pages 33–42
نویسندگان
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