What Can Human Geography Offer Climate Change Modelling?

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    Abstract

    The discipline of Geography may be one of the most prominent and oldest disciplines in the conceptualization of human–environment interactions that integrates elements from both natural and social sciences. Yet, much research on society–environment interactions on climate change reduces human behaviour to economic rationality when construed in sophisticated climate models and sometimes in nongeographical representations. The need to comprehensively take into consideration methodological approaches concerning the interface of society-environment interactions seems highly relevant to contemporary conceptual modelling of climate change adaption and mitigation. In other words, geographical representations do matter. In the following we will first reflect upon what I shall call spatio-temporal tides and waves of the human environment theme to examine the methodological grounds on which climate change models is based. From a history-geographical perspective the article shows that notions of objective models are increasingly challenged in an era of the anthropocene. It points toward a discussion of interdisciplinary challenges and the ways in which different traditions interpret and explain regularities, rationalities, and pre-analytic assumptions. Lastly we discuss challenges of constructing nature(s) and how we better understand the (geo) politics of climate change modeling.
    Original languageEnglish
    Title of host publicationClimate Change and Biodiversity : Advances in Geographical and Environmental Sciences
    EditorsSingh M, Singh R.B, Hassan M.I
    Number of pages19
    Volume1
    PublisherSpringer VS
    Publication date1 May 2014
    Pages223-242
    Chapter18
    ISBN (Print)978-4-431-54837-9
    ISBN (Electronic)978-4-431-54838-6
    DOIs
    Publication statusPublished - 1 May 2014
    SeriesAdvances in Geographical and Environmental Sciences
    ISSN2198-3542

    Keywords

    • geo-politics of modelling
    • second nature
    • human-environment interface
    • conceptual modelling
    • climate change

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