// ~->[DNET-1]->~

// File created by MarcotB at ICBEMP using Netica 1.17
// on Jan 14, 2000 at 17:08:04.

bnet generalized_BBN {
comment = "Generalized BBN for evaluating wildlife popualation \
	viability\n\
	Alpha version 1.0 by Bruce Marcot, 14 January 2000\n\
	for: Interior Columbia Basin Ecosystem Management Project\n\n\
	This BBN is not fully specified with probabilities, as it is \
	intended \n\
	merely to demonstrate the generic structure of a species \
	model.  The user\n\
	is encouraged to apply specific information, however, and \
	develop this\n\
	generic model into a fully-specified and operational version \
	for their\n\
	species in question.\n\n\
	Figure 1 from:\n\
	Marcot, B. G., R. S. Holthausen, M. G. Raphael, M. Rowland, \
	and M. Wisdom.  \n\
	In prep.  Using Bayesian belief networks to assess vertebrate \
	population \n\
	viability in the interior Columbia Basin, USA.  Forest  \
	Ecology and \n\
	Management xxx(xxx):xxx-xxx. \n\
	";
whenchanged = 947898483;

visual V1 {
	defdispform = BELIEFBARS;
	nodelabeling = NAMETITLE;
	nodefont = font {shape= "Arial"; size= 9;};
	linkfont = font {shape= "Arial"; size= 9;};
	windowposn = (128, 136, 624, 614);
	CommentWindowPosn = (52, 56, 706, 312);
	resolution = 72;
	drawingbounds = (1080, 720);
	showpagebreaks = FALSE;
	usegrid = TRUE;
	gridspace = (6, 6);
	PrinterSetting A {
		margins = (1270, 1270, 1270, 1270);
		landscape = FALSE;
		magnify = 1;
		};
	};

node Dec1 {
	kind = DECISION;
	discrete = TRUE;
	states = (Choice_1, Choice_2, Choice_3);
	parents = ();
	title = "Decision";
	comment = "In this generalized BBN, this node represents a decision to\
		\n\
		be made.  The states for this node are choices, such as \n\
		resource planning alternatives.\n\
		";
	whenchanged = 947897614;
	visual V1 {
		center = (210, 36);
		height = 4;
		};
	};

node P1 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (Dec1);
	title = "Proxy 1";
	comment = "This node represents a proxy variable that can be\n\
		quantified from databases such as from a geographic\n\
		information system (GIS), for a specific key environmental\n\
		correlate (KEC).\n\
		\|   Proxy variables are linked to the Decision node and \
		their\n\
		conditional probability tables (not specified here) would\n\
		represent how a decision might influence the states for\n\
		the proxy variable.";
	whenchanged = 947897733;
	visual V1 {
		center = (76, 114);
		height = 1;
		link 1 {
			path = ((154, 69), (121, 88));
			};
		};
	};

node P2 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (Dec1);
	title = "Proxy 2";
	comment = "This node represents a proxy variable that can be\n\
		quantified from databases such as from a geographic\n\
		information system (GIS), for a specific key environmental\n\
		correlate (KEC).\n\
		\|   Proxy variables are linked to the Decision node and \
		their\n\
		conditional probability tables (not specified here) would\n\
		represent how a decision might influence the states for\n\
		the proxy variable.";
	whenchanged = 947897736;
	visual V1 {
		center = (222, 114);
		height = 2;
		};
	};

node P3 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (Dec1);
	title = "Proxy 3";
	comment = "This node represents a proxy variable that can be\n\
		quantified from databases such as from a geographic\n\
		information system (GIS), for a specific key environmental\n\
		correlate (KEC).\n\
		\|   Proxy variables are linked to the Decision node and \
		their\n\
		conditional probability tables (not specified here) would\n\
		represent how a decision might influence the states for\n\
		the proxy variable.";
	whenchanged = 947897739;
	visual V1 {
		center = (378, 114);
		height = 3;
		};
	};

node KEC1 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (P1);
	comment = "This node represents a (generic) \"key environmental\n\
		correlate\" or KEC.  KECs are the environmental factors\n\
		that can influence the distribution and abundance of a\n\
		species of interest.  \n\
		\|   KECs often are not quantified or influenced directly by \
		a \n\
		decision; rather, there is some interim proxy variable that\n\
		can at least partially serve to represent the KEC.  Thus,\n\
		the conditional probability table for this node represents\n\
		the degree to which the proxy variable (that is \
		quantifiable)\n\
		truly represents the states of this KEC.";
	whenchanged = 947897888;
	visual V1 {
		center = (72, 192);
		height = 7;
		};
	};

node KEC2 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (P2);
	comment = "This node represents a (generic) \"key environmental\n\
		correlate\" or KEC.  KECs are the environmental factors\n\
		that can influence the distribution and abundance of a\n\
		species of interest.  \n\
		\|   KECs often are not quantified or influenced directly by \
		a \n\
		decision; rather, there is some interim proxy variable that\n\
		can at least partially serve to represent the KEC.  Thus,\n\
		the conditional probability table for this node represents\n\
		the degree to which the proxy variable (that is \
		quantifiable)\n\
		truly represents the states of this KEC.";
	whenchanged = 947897891;
	visual V1 {
		center = (222, 186);
		height = 6;
		};
	};

node KEC3 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (P3);
	comment = "This node represents a (generic) \"key environmental\n\
		correlate\" or KEC.  KECs are the environmental factors\n\
		that can influence the distribution and abundance of a\n\
		species of interest.  \n\
		\|   KECs often are not quantified or influenced directly by \
		a \n\
		decision; rather, there is some interim proxy variable that\n\
		can at least partially serve to represent the KEC.  Thus,\n\
		the conditional probability table for this node represents\n\
		the degree to which the proxy variable (that is \
		quantifiable)\n\
		truly represents the states of this KEC.";
	whenchanged = 947897893;
	visual V1 {
		center = (384, 192);
		height = 5;
		};
	};

node SH1 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (KEC1, KEC2);
	title = "Sum. Habitat 1";
	comment = "This is a summary habitat node.  It represents the \n\
		influence of one or more KEC nodes along some general\n\
		theme, such as foraging habitat, winter thermal cover,\n\
		or effects of human disturbance.\n\
		\|   Summary nodes are useful in BBNs in two ways.  They\n\
		can help summarize the various KECs that influence a \n\
		particular life history phase, such as wintering habitat \
		use.\n\
		And they can reduce the number of nodes feeding into the\n\
		population response node, and thus can greatly reduce the \n\
		size of the conditional probability table of that node.  ";
	whenchanged = 947898082;
	visual V1 {
		center = (144, 264);
		height = 9;
		};
	};

node SH2 {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (KEC3, KEC2);
	title = "Sum. Habitat 2";
	comment = "This is a summary habitat node.  It represents the \n\
		influence of one or more KEC nodes along some general\n\
		theme, such as foraging habitat, winter thermal cover,\n\
		or effects of human disturbance.\n\
		\|   Summary nodes are useful in BBNs in two ways.  They\n\
		can help summarize the various KECs that influence a \n\
		particular life history phase, such as wintering habitat \
		use.\n\
		And they can reduce the number of nodes feeding into the\n\
		population response node, and thus can greatly reduce the \n\
		size of the conditional probability table of that node.  ";
	whenchanged = 947898085;
	visual V1 {
		center = (300, 264);
		height = 8;
		};
	};

node R {
	kind = NATURE;
	discrete = TRUE;
	states = (High, Low);
	parents = (SH1, SH2);
	title = "Popn Response";
	comment = "This is the population response node.  It represents the \n\
		overall influence of KECs on the local or broader\n\
		distribution and abundance of the species in question.\n\n\
		Note that the \"ecological causal web\" is actually a \
		subset \n\
		of this entire generalized BBN; it really consists of just \
		the\n\
		KEC nodes, the summary habitat nodes, and this population\n\
		response node.  The proxy, decision, and utility nodes are\n\
		not part of the ecological causal web; the proxy nodes\n\
		help specify the model and make it operational; and the \n\
		decision and utility nodes pertain to a decision analysis\n\
		context.";
	whenchanged = 947898301;
	visual V1 {
		center = (222, 342);
		height = 11;
		};
	};

node U {
	kind = UTILITY;
	discrete = FALSE;
	measure = RATIO;
	parents = (R);
	title = "Outcome Utility";
	comment = "This is the outcome utility node.  Its values, in the \n\
		associated conditional probability table, represent the \n\
		cost or values of each outcome, that is, of each possible\n\
		population response state.  Utility nodes have no\n\
		probabilities associated with them.";
	whenchanged = 947898370;
	visual V1 {
		center = (222, 396);
		height = 10;
		};
	};
};