Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration

By Li An, Marc Linderman, J. Qi, Ashton M. Shortridge, Jianguo Liu. 2005

329 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Modeling human decisions in coupled human and natural systems: Review of agent-based models (2012, methodology): “Corroborating 49 evidence for these features also comes from empirical work in the Amazon (Malanson et al., 2006a, 50 2006b), the southern Yucatán (Manson 2005), Wolong Nature Reserve of China ( An et al., 2005, 2006), 51 Northern Ecuador (Walsh et al., 2008), and other places around the world.”
Agent-based land-use models: a review of applications (2007, background): “One such example is that of the IMSHED (Integrated Model for Simulating Household and 13 Ecosystem Dynamics) developed to investigate the impact of a growing rural population on 14 forests and giant panda habitats in China (An et al., 2005).”
Understanding the relationships between ecosystem services and poverty alleviation: A conceptual framework (2014, positive): “ABM can also incorporate adaptive learning (An et al., 2005), and deal with emergence: that outcomes can be more than the sum of their parts (Macy and Willer, 2002).”