A new approach for representing agent-environment feedbacks: coupled agent-based and state-and-transition simulation models-Reference-Cited by-同舟云学术

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A new approach for representing agent-environment feedbacks: coupled agent-based and state-and-transition simulation models

Published:2021-10-17 Issue:1 Volume:37 Page:43-58
ISSN:0921-2973
Container-title:Landscape Ecology
language:en
Short-container-title:Landsc Ecol

Author:

Miller Brian W.^ORCID,Frid Leonardo^ORCID

Funder

U.S. Geological Survey, North Central Climate Adaptation Science Center

Publisher

Springer Science and Business Media LLC

Subject

Nature and Landscape Conservation,Ecology,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s10980-021-01282-y.pdf

Reference70 articles.

1. Aalders I (2008) Modeling land-use decision behavior with Bayesian belief networks. Ecol Soc. https://doi.org/10.5751/ES-02362-130116

2. ApexRMS (2021) SyncroSim. Retrieved from https://syncrosim.com/. Accessed 26 May 2021

3. Baker WL (1989) A review of models of landscape change. Landsc Ecol 2(2):111–133

4. Balzter H, Braun PW, Kohler W (1998) Cellular automata models for vegetation dynamics. Ecol Model 107:113–125

5. Beeton TA, McNeeley SM, Miller BW, Ojima DS (2019) Grounding simulation models with qualitative case studies: toward a holistic framework to make climate science usable for US public land management. Clim Risk Manag 23:50–66

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