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Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services

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Title Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services
 
Creator Miyasaka, Takafumi
 
Contributor Le, Quang Bao
Okuro, Toshiya
Xueyong, Zhao
Takeuchi, Kazuhiko
 
Subject cost-effective targeting
economic structural shift
grain for green
heterogeneity
hierarchy
horqin sandy land
multi-agent system
spatio-temporal externality
 
Description Context: Recent conceptual developments in ecosystem services research have revealed the need to elucidate the complex and unintended relationships between humans and the environment if we are to better understand and manage ecosystem services in practice.

Objectives: This study aimed to develop a model that spatially represents a complex human–environment (H–E) system consisting of heterogeneous social–ecological components and feedback mechanisms at multiple scales, in order to assess multi-dimensional (spatial, temporal, and social) trade-offs in ecosystem services.

Methods: We constructed an agent-based model and empirically calibrated it for a semi-arid region in Northeast China, and examined ecosystem service trade-offs derived from the Sloping Land Conversion Program (SLCP), which is based on payment for ecosystem services. This paper describes our model, named Inner Mongolia Land Use Dynamic Simulator (IM-LUDAS), using the Overview, Design concepts, and Details and Decision (ODD+D) protocol and demonstrates the capabilities of IM-LUDAS through simulations.

Results: IM-LUDAS represented typical characteristics of complex H–E systems, such as secondary and cross-scale feedback loops, time lags, and threshold
 
Date 2017-04-30
2017-03-01T01:31:21Z
2017-03-01T01:31:21Z
 
Type Journal Article
 
Identifier https://mel.cgiar.org/reporting/download/hash/3Rd4T5Aq
Takafumi Miyasaka, Quang Bao Le, Toshiya Okuro, Zhao Xueyong, Kazuhiko Takeuchi. (30/4/2017). Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services. Landscape Ecology, 32 (4), pp. 707-727.
https://hdl.handle.net/20.500.11766/6102
Open access
 
Language en
 
Rights CC-BY-4.0
 
Format PDF
 
Publisher Springer Verlag (Germany)
 
Source Landscape Ecology;32,(2017) Pagination 707,727