Re: [SwarmFest2004] Abstract

[Rick Riolo]

Hi Li,

Thanks for your submission.

- r

Rick Riolo                           address@hidden
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab
University of Michigan         Ann Arbor MI 48109-1120
Phone: 734 763 3323                  Fax: 734 763 9267
http://cscs.umich.edu/~rlr

On Wed, 31 Mar 2004, Li An wrote:

> Date: Wed, 31 Mar 2004 02:20:27 -0500
> From: Li An <address@hidden>
> To: address@hidden
> Subject: [SwarmFest2004] Abstract
>
> Hi,
>
> This is an abstract submitted for SwarmFest 2004. Feel free to contact me
> if you have questions. It is attached as a text file, and also put here in
> this email.
>
> Thanks,
>
> Li
>
>
>
>
> Modeling spatio-temporal dynamics of households, habitats, and forests: a
> case study in Wolong Nature
> Reserve (China)
>
> Li An (1)*, Marc Linderman(1), and Jianguo Liu(1)
>
>
> (1) Department of Fisheries and Wildlife, Michigan State University, 13
> Natural Resources Building,
> East Lansing, MI 48824-1222, USA.
>
> * Corresponding author?current address: School of Natural Resources and
> Environment, 2004 Dana Natural
> Resources Building, The University of Michigan, 430 E. University, Ann
> Arbor, MI 48109-1115.
> Phone: (734) 615-4897;
> email: address@hidden
>
> Traditional top-down approaches (e.g., state variable approach) to studying
> wildlife habitat often
> ignore individual-level information about the human population of interest,
> especially at household
> and/or individual level, and often cannot capture or explain some key
> processes.  This study reports
>   on an agent-based spatial model that addresses this issue. The rapidly
> growing rural population in
> the Wolong Nature Reserve for giant pandas (China) follows a traditional
> rural lifestyle, in which
> fuelwood consumption has been the main driver for panda habitat
> degradation. Following the life
> history of individual persons and households, this model equips the
> individual and household agents
> with ?knowledge? about themselves, other agents, and the environment
> (topography, forests, etc), and
> allows them to interact with each other and the environment based on a set
> of rules obtained from our
> fieldwork. The agents and forests change and ?talk? to each other over time
> and space, resulting in
> emergent human and habitat dynamics. Aside from providing insights to panda
> habitat conservation, this
> model may provide wildlife researchers with a useful tool to study how
> habitat patterns change over
> time and space as the local people, households, and forests evolve and
> interact with each other.
>
> Keywords: agent-based modeling, households, human demographics, giant panda
> conservation
>