Metamodels for transdisciplinary analysis of wildlife population dynamics

PloS One
Robert C LacySara L Zeigler

Abstract

Wildlife population models have been criticized for their narrow disciplinary perspective when analyzing complexity in coupled biological - physical - human systems. We describe a "metamodel" approach to species risk assessment when diverse threats act at different spatiotemporal scales, interact in non-linear ways, and are addressed by distinct disciplines. A metamodel links discrete, individual models that depict components of a complex system, governing the flow of information among models and the sequence of simulated events. Each model simulates processes specific to its disciplinary realm while being informed of changes in other metamodel components by accessing common descriptors of the system, populations, and individuals. Interactions among models are revealed as emergent properties of the system. We introduce a new metamodel platform, both to further explain key elements of the metamodel approach and as an example that we hope will facilitate the development of other platforms for implementing metamodels in population biology, species risk assessments, and conservation planning. We present two examples - one exploring the interactions of dispersal in metapopulations and the spread of infectious disease, the other exam...Continue Reading

References

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Citations

Dec 17, 2014·Conservation Biology : the Journal of the Society for Conservation Biology·Jennifer C PiersonAndrew G Young
Apr 15, 2015·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Charles L NunnPeter M Kappeler
Jan 9, 2015·Journal of the Royal Society, Interface·Konstans WellsDamien A Fordham
Nov 5, 2016·Conservation Biology : the Journal of the Society for Conservation Biology·Judy P Che-Castaldo, Maile C Neel

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Software Mentioned

MeMoMa
PVA
ComponentOne Studio
SourceForge
FLORES
MMMacro
RAMAS
PVAs
RAMAS Metapop
BioMove

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