کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4376426 1617504 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling scale and variability in human–environmental interactions in Inner Asia
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Modeling scale and variability in human–environmental interactions in Inner Asia
چکیده انگلیسی

Pastoralism represents a complex adaptive system that has existed in Inner Asia for thousands of years. The challenges of environmental change have highlighted the need to assess the potential for long-term sustainability while also considering the characteristics of systems that have the potential to maintain resilience. Here we assess the interaction between slow and fast processes and how interpretations of adaptive capacity and system resilience are affected by the scale at which observations are made. Agent-based modeling is used to identify the social and demographic interactions between landscape and weather variability for pastoralists in Inner Asia at a variety of social scales and from temporal scales of societal change ranging from a few days to 1000 years. Results indicate that the scale of abrupt changes may not be proportional to the severity or duration of the weather event, but is highly impacted by internal social factors. At the scale of individual families, highly interconnected social systems with less mobility and restricted decision making are less effective. When viewed from the vantage point of larger social units, highly interconnected kinship systems and restrictions in access to land may serve purposes that are counterproductive for individual families.


► 1000 years of simulated history illustrates variability in dynamic weather conditions.
► Model produces steady states that hint at appropriate levels of stocking rates.
► The long time scale allows viewing of overlapping processes operating at different rates.
► Local autonomy and even micro adjustments to mobility are key factors in resiliency.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 241, 24 August 2012, Pages 5–14
نویسندگان
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