Arid
DOI10.1371/journal.pone.0244185
Modeling pastoralist movement in response to environmental variables and conflict in Somaliland: Combining agent-based modeling and geospatial data
Nelson, Erica L.; Khan, Saira A.; Thorve, Swapna; Greenough, P. Gregg
通讯作者Nelson, EL (corresponding author), Harvard Univ, Harvard Humanitarian Initiat, Cambridge, MA 02138 USA. ; Nelson, EL (corresponding author), Harvard Med Sch, Brigham & Womens Hosp, Dept Emergency Med, Div Global Emergency Med & Humanitarian Programs, Boston, MA 02115 USA.
来源期刊PLOS ONE
ISSN1932-6203
出版年2020
卷号15期号:12
英文摘要Pastoralism is widely practiced in arid lands and is the primary means of livelihood for approximately 268 million people across Africa. Environmental, interpersonal, and transactional variables such as vegetation and water availability, conflict, ethnic tensions, and private/public land delineation influence the movements of these populations. The challenges of climate change and conflict are widely felt by nomadic pastoralists in Somalia, where resources are scarce, natural disasters are increasingly common, and protracted conflict has plagued communities for decades. Bereft of real-time data, researchers and programmatic personnel often turn to post hoc analysis to understand the interaction between climate, conflict, and migration, and design programs to address the needs of nomadic pastoralists. By designing an Agent-Based Model to simulate the movement of nomadic pastoralists based on typologically-diverse, historical data of environmental, interpersonal, and transactional variables in Somaliland and Puntland between 2008 and 2018, this study explores how pastoralists respond to changing environments. Through subsequent application of spatial analysis such as choropleth maps, kernel density mapping, and standard deviational ellipses, we characterize the resultant pastoralist population distribution in response to these variables. Outcomes demonstrate a large scale spatio-temporal trend of pastoralists migrating to the southeast of the study area with high density areas in the south of Nugaal, the northwest of Sool, and along the Ethiopian border. While minimal inter-seasonal variability is seen, multiple analyses support the consolidation of pastoralists to specifically favorable regions. Exploration of the large-scale population, climate, and conflict trends allows for cogent narratives and associative hypotheses regarding the pastoralist migration during the study period. While this model produces compelling associations between pastoralist movements and terrestrial and conflict variables, it relies heavily on assumptions and incomplete data that are not necessarily representative of realities on the ground. Given the paucity of data regarding pastoralist decision-making and migration, validation remains challenging.
类型Article
语种英语
开放获取类型gold, Green Published
收录类别SCI-E
WOS记录号WOS:000605651300072
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/349121
作者单位[Nelson, Erica L.; Khan, Saira A.; Greenough, P. Gregg] Harvard Univ, Harvard Humanitarian Initiat, Cambridge, MA 02138 USA; [Nelson, Erica L.; Greenough, P. Gregg] Harvard Med Sch, Brigham & Womens Hosp, Dept Emergency Med, Div Global Emergency Med & Humanitarian Programs, Boston, MA 02115 USA; [Khan, Saira A.; Greenough, P. Gregg] Harvard Univ, Harvard TH Chan Sch Publ Hlth, Boston, MA 02115 USA; [Thorve, Swapna] Univ Virginia, Dept Comp Sci, Charlottesville, VA 22903 USA
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Nelson, Erica L.,Khan, Saira A.,Thorve, Swapna,et al. Modeling pastoralist movement in response to environmental variables and conflict in Somaliland: Combining agent-based modeling and geospatial data[J],2020,15(12).
APA Nelson, Erica L.,Khan, Saira A.,Thorve, Swapna,&Greenough, P. Gregg.(2020).Modeling pastoralist movement in response to environmental variables and conflict in Somaliland: Combining agent-based modeling and geospatial data.PLOS ONE,15(12).
MLA Nelson, Erica L.,et al."Modeling pastoralist movement in response to environmental variables and conflict in Somaliland: Combining agent-based modeling and geospatial data".PLOS ONE 15.12(2020).
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