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Environmental cognitions mediate the causal explanation of land change

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Abstract

Causal explanations of land change are fundamental in land system science, yet existing findings are difficult to synthesize due to the imprecise terminology and the various analytical frameworks they have applied. This paper compares three existing conceptual frameworks, in terms of underlying driving forces and proximate causes, actors, and environmental cognitions, by aligning the relevant elements into a causal chain. We find that the elicitation of environmental cognitions helps in providing a detailed description of this causal chain. By synthesizing case study evidence on agricultural land change into the generalized causal chain, we find that the effects of underlying driving forces on land change have been substantially mediated by environmental cognitions. Operationalizing environmental cognitions requires more efforts than regular actor-based studies, but a proper understanding of its mediating role should be accounted for in local scale studies and is essential for human-centred policy design.

Original languageEnglish
Pages (from-to)535-548
Number of pages14
JournalJournal of Land Use Science
Volume13
Issue number5
DOIs
Publication statusPublished - Dec 2018

Funding

This work was supported by the National Natural Science Foundation of China [41501111]; the National Key Research and Development Program of China [2017YFE0104600]; and the Fundamental Research Funds for Central Non-profit Scientific Institution [IARRP-2017-27,IARRP-2017-65]. The Agricultural Land System group at AGRIRS provided valuable support throughout the research. This work is financed by the National Natural Science Foundation of China (41501111), the National Key Research and Development Program of China (2017YFE0104600) and the Fundamental Research Funds for Central Non-profit Scientific Institution (IARRP-2017-27 and IARRP-2017-65). PV acknowledges funding of the European Commission under ERC grant GLOLAND (no. 311819). The authors thank Dr. Jasper van Vliet for his comments on drafting the paper. This work contributes to the Global Land Programme (http://www.glp.earth). This work was supported by the National Natural Science Foundation of China [41501111]; the National Key Research and Development Program of China [2017YFE0104600]; and the Fundamental Research Funds for Central Non-profit Scientific Institution [IARRP-2017-27,IARRP-2017-65]. The Agricultural Land System group at AGRIRS provided valuable support throughout the research. This work is financed by the National Natural Science Foundation of China (41501111), the National Key Research and Development Program of China (2017YFE0104600) and the Fundamental Research Funds for Central Non-profit Scientific Institution (IARRP-2017-27 and IARRP-2017-65). PV acknowledges funding of the European Commission under ERC grant GLOLAND (no. 311819). The authors thank Dr. Jasper van Vliet for his comments on drafting the paper. This work contributes to the Global Land Programme (http://www.glp.earth).

FundersFunder number
European Commission
Fundamental Research Funds for Central Non-profit Scientific Institution
European Research Council
Seventh Framework Programme311819
Fundamental Research Funds for the Central UniversitiesIARRP-2017-65, IARRP-2017-27
National Key Research and Development Program of China2017YFE0104600
National Natural Science Foundation of China41501111

    Keywords

    • Attitude
    • causal chain
    • decision-making
    • driver
    • land use change
    • perception

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