Arid
DOI10.1007/s10980-017-0495-x
Agent-based modeling of complex social-ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services
Miyasaka, Takafumi1; Le, Quang Bao2,3; Okuro, Toshiya4; Zhao, Xueyong5; Takeuchi, Kazuhiko6
通讯作者Miyasaka, Takafumi
来源期刊LANDSCAPE ECOLOGY
ISSN0921-2973
EISSN1572-9761
出版年2017
卷号32期号:4页码:707-727
英文摘要

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 + 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 change, revealing the following results: tree plantations expanded by the SLCP facilitated vegetation and soil restoration and household change toward off-farm livelihoods, as expected by the government; conversely, the program caused further land degradation outside the implementation plots; moreover, the livelihood changes were not large enough to compensate for income deterioration by policy-induced reduction in cropland.


Conclusions IM-LUDAS proved itself to be an advanced empirical model that can recreate essential features of complex H-E systems and assess multi-dimensional trade-offs in ecosystem services.


英文关键词Cost-effective targeting Desertification Economic structural shift Grain for Green Heterogeneity Hierarchy Horqin Sandy Land Inner Mongolia Multi-agent system Spatio temporal externality
类型Article
语种英语
国家Japan ; Jordan ; Switzerland ; Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000397474000002
WOS关键词SAND-DUNE TOPOGRAPHY ; LAND-COVER CHANGE ; COUPLED HUMAN ; MULTIAGENT SYSTEMS ; CHALLENGES ; PAYMENTS ; CHINA ; SUSTAINABILITY ; FRAMEWORK ; SCIENCE
WOS类目Ecology ; Geography, Physical ; Geosciences, Multidisciplinary
WOS研究方向Environmental Sciences & Ecology ; Physical Geography ; Geology
来源机构中国科学院西北生态环境资源研究院
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/200992
作者单位1.Tokyo Univ Agr & Technol, Inst Agr, 3-5-8 Saiwai Cho,Fuchu Shi, Tokyo 1838509, Japan;
2.Int Ctr Agr Res Dry Areas ICARDA, CGIAR Res Program Dryland Syst, Amman 11195, Jordan;
3.Swiss Fed Inst Technol Zurich, Inst Environm Decis, Univ 22, CH-8092 Zurich, Switzerland;
4.Univ Tokyo, Grad Sch Agr & Life Sci, Bunkyo Ku, 1-1-1 Yayoi, Tokyo 113, Japan;
5.Chinese Acad Sci, Cold & Arid Regions Environm & Engn Res Inst, 260 Donggang West Rd, Lanzhou 730000, Peoples R China;
6.Univ Tokyo, Integrated Res Syst Sustainabil Sci, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138654, Japan
推荐引用方式
GB/T 7714
Miyasaka, Takafumi,Le, Quang Bao,Okuro, Toshiya,et al. Agent-based modeling of complex social-ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services[J]. 中国科学院西北生态环境资源研究院,2017,32(4):707-727.
APA Miyasaka, Takafumi,Le, Quang Bao,Okuro, Toshiya,Zhao, Xueyong,&Takeuchi, Kazuhiko.(2017).Agent-based modeling of complex social-ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services.LANDSCAPE ECOLOGY,32(4),707-727.
MLA Miyasaka, Takafumi,et al."Agent-based modeling of complex social-ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services".LANDSCAPE ECOLOGY 32.4(2017):707-727.
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