Long-term dynamic simulation of environmental impacts on ecosystem-based pond aquaculture

被引：31
作者：
Varga, Monika [1 ]
Berzi-Nagy, Laszlo [2 ]
Csukas, Bela [1 ]
Gyalog, Gergo [2 ]
机构：
[1] Kaposvar Univ, Inst Methodol, Res Grp Proc Network Engn, 40 Guba S, H-7400 Kaposvar, Hungary
[2] Natl Agr Res & Innovat Ctr, Res Inst Fisheries & Aquaculture, 35 Anna Liget, H-5540 Szarvas, Hungary
来源：
ENVIRONMENTAL MODELLING & SOFTWARE | 2020年 / 134卷
基金：
欧盟地平线“2020”;
关键词：
Process modeling; Fishpond ecosystem; Fish farming; Dynamic simulation; Climate change; CLIMATE-CHANGE; GROWTH COEFFICIENT; FISH GROWTH; MODEL; NETWORK; MANAGEMENT; ECOPATH;
D O I：
10.1016/j.envsoft.2020.104755
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The effect of changing environmental conditions on the operation of ecosystem-based pond aquaculture has been analyzed with long-term dynamic simulations. The applied non-conventional framework of Programmable Process Structures supports the implementation of the trans-disciplinary functionalities in a transparent struc-ture. The developed model of medium complexity encompasses the interacting physical, chemical, biological, ecological, managerial and environmental processes in a unified, prototyped dynamic framework. This makes possible to study the effects of climate change on fishpond ecosystem and on carp growth, using 50 years long dynamic simulations. We have concluded that regardless to the limited amount of data, the approximately validated, but causally established, well-structured dynamic balance model may support the planning and operation of pond farming systems under temperate climate.
引用
收藏
页数：17
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