The People and Landscape Model (PALM): Towards full integration of human decision-making and biophysical simulation models
By Robin B. Matthews. 2006
153 citations recorded by the source corpus.
Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/98b184f35fb15dca5f4fb38d3c81016ab5dfe062
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In Ecology, Evolution, Behavior and Systematics
In Global and Planetary Change
Citations in the corpus
- Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach (2007, methodology): “In a comparable study to soil fertility changes in the mid-hill areas of Nepal, Matthews (2006) combines DSSAT crop models to simulate crop yields with the CENTURY model to simulate water and nitrogen dynamics.”
- An agent-based simulation model of human-environment interactions in agricultural systems (2011, methodology): “…Modeling Toolbox): Letcher et al. 2006a, 2006b; SAM (Sustainable Agroecosystem Model): Belcher et al. 2004; PALM (People and Landscape Model): Matthews 2006; ECECMOD (Economics and Ecology Modeling System): Vatn et al. 1999, 2006; LUDAS (Land Use Dynamic Simulator): Le et al. 2008, 2010.”
- Modeling human decisions in coupled human and natural systems: Review of agent-based models (2012, background): “…and qualitative), direct observations, 374 ethnographic histories (e.g., “translating” narratives or life histories from the field into a computerized 375 model; Huigen, 2004; Huigen et al., 2006; Matthews, 2006), or “stylized facts abstracted from real-world 376 studies” (Albino et al. 2006).”
- Agent-based land-use models: a review of applications (2007, methodology): “The PALM model also represents an attempt to link agent decision-making to the 23 underlying biophysical processes, this time for soil nutrient dynamics in the mid-hills of 24 Nepal (Matthews, 2006).”
- Describing human decisions in agent-based models - ODD + D, an extension of the ODD protocol (2013, background): “Examples for coincidence in models can be the random initialisation of the values of agents’ state variables (e.g. Balmann, 1997; Matthews, 2006), location of households on a map (e.g. Castella et al., 2005) or market-prices that influence agent decisions (e.g. Janssen et al., 2000).”
- An agent-based approach to model future residential pressure on a regional landscape (2009, background): “…locally interacting agents whose decisions lead to emergent properties at an aggregate level, e.g. city growth, assuming no equilibrium conditions (Jager et al. 2000; Gilbert and Bankes 2002; Parker et al. 2003; Bousquet and Le Page 2004; Brown et al. 2004; Matthews 2006; Phan and Amblard 2007).”