Literature DB >> 23291978

Analyzing human-landscape interactions: tools that integrate.

Alex Zvoleff1, Li An.   

Abstract

Humans have transformed much of Earth's land surface, giving rise to loss of biodiversity, climate change, and a host of other environmental issues that are affecting human and biophysical systems in unexpected ways. To confront these problems, environmental managers must consider human and landscape systems in integrated ways. This means making use of data obtained from a broad range of methods (e.g., sensors, surveys), while taking into account new findings from the social and biophysical science literatures. New integrative methods (including data fusion, simulation modeling, and participatory approaches) have emerged in recent years to address these challenges, and to allow analysts to provide information that links qualitative and quantitative elements for policymakers. This paper brings attention to these emergent tools while providing an overview of the tools currently in use for analysis of human-landscape interactions. Analysts are now faced with a staggering array of approaches in the human-landscape literature--in an attempt to bring increased clarity to the field, we identify the relative strengths of each tool, and provide guidance to analysts on the areas to which each tool is best applied. We discuss four broad categories of tools: statistical methods (including survival analysis, multi-level modeling, and Bayesian approaches), GIS and spatial analysis methods, simulation approaches (including cellular automata, agent-based modeling, and participatory modeling), and mixed-method techniques (such as alternative futures modeling and integrated assessment). For each tool, we offer an example from the literature of its application in human-landscape research. Among these tools, participatory approaches are gaining prominence for analysts to make the broadest possible array of information available to researchers, environmental managers, and policymakers. Further development of new approaches of data fusion and integration across sites or disciplines pose an important challenge for future work in integrating human and landscape components.

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Year:  2013        PMID: 23291978     DOI: 10.1007/s00267-012-0009-1

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  27 in total

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Journal:  Science       Date:  2010-04-29       Impact factor: 47.728

3.  Estimating Multi-Level Discrete-Time Hazard Models Using Cross-Sectional Data: Neighborhood Effects on the Onset of Adolescent Cigarette Use.

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Review 7.  Agent-based modeling in ecological economics.

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9.  Social organization, population, and land use.

Authors:  William G Axinn; Dirgha J Ghimire
Journal:  AJS       Date:  2011-07

Review 10.  Coupled human and natural systems.

Authors:  Jianguo Liu; Thomas Dietz; Stephen R Carpenter; Carl Folke; Marina Alberti; Charles L Redman; Stephen H Schneider; Elinor Ostrom; Alice N Pell; Jane Lubchenco; William W Taylor; Zhiyun Ouyang; Peter Deadman; Timothy Kratz; William Provencher
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  3 in total

1.  Understanding human-landscape interactions in the "Anthropocene".

Authors:  Carol P Harden; Anne Chin; Mary R English; Rong Fu; Kathleen A Galvin; Andrea K Gerlak; Patricia F McDowell; Dylan E McNamara; Jeffrey M Peterson; N LeRoy Poff; Eugene A Rosa; William D Solecki; Ellen E Wohl
Journal:  Environ Manage       Date:  2013-06-22       Impact factor: 3.266

2.  The future of human-landscape interactions: drawing on the past, anticipating the future.

Authors:  Anne Chin; Kathleen A Galvin; Andrea K Gerlak; Carol P Harden; Ellen Wohl
Journal:  Environ Manage       Date:  2013-11-28       Impact factor: 3.266

3.  Feedbacks in human-landscape systems.

Authors:  Anne Chin; Joan L Florsheim; Ellen Wohl; Brian D Collins
Journal:  Environ Manage       Date:  2013-04-17       Impact factor: 3.266

  3 in total

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