23rd Annual Workshop on Qualitative Reasoning

A qualitative model of the salmon life cycle in the context of river rehabilitation

author:Richard Noble, University of Hull
published: July 22, 2009, recorded: June 2009, views: 45

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Slides

Slides
0:00	A Qualitative model of the salmon life cycle in the context of sustainable river rehabilitation
0:18	Content
0:52	NatureNet-Redime
1:17	Garp3 Software
2:05	Model Background
2:54	Salmon populations in the River Trent
3:18	Atlantic salmon - Salmo salar
3:44	Schematic life cycle
5:06	Human Impacts – habitat degradation
6:00	Human Impacts - connectivity
6:48	Salmon Conservation – life-cycle models
7:42	Entities and Agents
8:35	Life-cycle scenarios
9:32	Life stage representation
10:31	Mortality and survival
11:00	Quantity spaces - Semi-quantitative information
11:52	Recruitment (1)
12:46	Recruitment (2)
13:25	Survival – limiting factors
14:59	Human activities – Habitat quality (1)
16:05	Human activities – Habitat quality (2)
17:17	Survival – Dynamic control
18:25	Modelling Issues and Solutions
18:32	Value/derivative behaviour of Potential (1)
20:14	Value/derivative behaviour of Potential (2)
21:28	Value/derivative behaviour of Potential (3)
22:01	Derivative behaviour of Difference (1)
24:56	Derivative behaviour of Difference (2)
25:39	Life-cycle scenarios (1)
26:07	Life-cycle scenarios (2)
26:37	Concept Scenarios (1)
26:45	Concept Scenarios (2)
26:51	Conclusions – modelling “fixes”
27:34	Conclusions - Complexity (1)
27:57	Conclusions - Complexity (2)
28:14	DynaLearn
28:24	Thank you

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Description

A qualitative model was developed in Garp3 to capture and formalise knowledge about river rehabilitation and the management of an Atlantic salmon population. The model integrates information about the ecology of the salmon life cycle, the environmental factors that may limit the survival of key life stages and links with human activities such as agriculture, habitat rehabilitation and fishing. The overall aim of the model was to explore the effects of rehabilitation in the context of a complete life cycle scenario. The scenarios and simulations produced were able to explore these processes in the context of a complete life cycle, but at this scale the simulations were time consuming. Therefore, in addition to these scenarios a series of smaller demonstrator scenarios were developed that succinctly explored individual concepts within the system.