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Tackling Biocomplexity With Meta-Models For Species Risk Assessment, Philip J. Nyhus, Robert C. Lacy, Francis R. Westley, Philip S. Miller, Harrie Harrie Vredenburg, Paul C. Paquet, John Pollak Dec 2006

Tackling Biocomplexity With Meta-Models For Species Risk Assessment, Philip J. Nyhus, Robert C. Lacy, Francis R. Westley, Philip S. Miller, Harrie Harrie Vredenburg, Paul C. Paquet, John Pollak

Philip J. Nyhus

We describe results of a multi-year effort to strengthen consideration of the human dimension into endangered species risk assessments and to strengthen research capacity to understand biodiversity risk assessment in the context of coupled human-natural systems. A core group of social and biological scientists have worked with a network of more than 50 individuals from four countries to develop a conceptual framework illustrating how human-mediated processes influence biological systems and to develop tools to gather, translate, and incorporate these data into existing simulation models. A central theme of our research focused on (1) the difficulties often encountered in identifying and …


Incorporating Local Knowledge Into Population And Habitat Viability Assessments: Landowners And Tree Kangaroos In Papua New Guinea, Philip J. Nyhus, J Williams, J Borovansky, O Byers, P Miller Dec 2002

Incorporating Local Knowledge Into Population And Habitat Viability Assessments: Landowners And Tree Kangaroos In Papua New Guinea, Philip J. Nyhus, J Williams, J Borovansky, O Byers, P Miller

Philip J. Nyhus

No abstract provided.


A Role For Natural Resource Social Science In Biodiversity Risk Assessment, Philip J. Nyhus, Frances R. Westley, Robert C. Lacey, Philip S. Miller Jan 2002

A Role For Natural Resource Social Science In Biodiversity Risk Assessment, Philip J. Nyhus, Frances R. Westley, Robert C. Lacey, Philip S. Miller

Philip J. Nyhus

Biologists have made considerable progress in developing realistic simulation models to predict extinction risks for threatened species. Social scientists have to date had a more limited role in these efforts. This limited involvement comes despite the growing acknowledgment by population biologists and simulation modelers that this additional input is necessary for these models to accurately reflect the impact of humans and human-dominated landscapes on wildlife populations. We argue that collaborations among social and biological scientists can provide unparalleled opportunities to develop new conceptual and simulation tools for biodiversity risk assessment. One challenge is that while the value of interdisciplinary research …