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<p class="MsoNormal"><span style="font-size:7.5pt;font-family:"Helvetica","sans-serif";color:#505050">The Waterloo Institute for Complexity and Innovation (WICI) facilitates rigorous transdisciplinary and collaborative research promoting innovation and resilience
within—and beneficial transformation of—the complex adaptive systems at the core of human well being in the 21st century.
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:25.5pt;font-family:"Helvetica","sans-serif";color:white">Upcoming Lecture by Darla Munroe of the Ohio State University<o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Arial","sans-serif";color:#505050;font-weight:normal">On Wednesday, April 25th between 10 and 12pm, Dr. Darla Munroe from the Ohio State University will give a lecture entitled “The interdependence of forest transition
pathways at the household level in Yunnan, China”. The lecture will talk place in EV3-3412. All are welcome! Please RSVP
</span><span style="font-size:22.5pt;font-family:"Helvetica","sans-serif";color:#505050;font-weight:normal"><a href="http://www.eventbrite.com/event/3378646623" target="_blank"><span style="font-size:13.5pt;color:#1F131F">HERE.</span></a><o:p></o:p></span></h1>
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<p style="line-height:150%"><strong><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050">Abstract</span></strong><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050"><o:p></o:p></span></p>
<p style="line-height:150%"><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050">Prior research on “forest transitions,” or the observation of sustained forest recovery following past forest clearing, has often
employed the concept of forest “pathways” to elucidate the variation in key drivers and mechanisms across diverse case studies. Recent forest recovery in China is generally attributed to a state response to prior environmental degradation, including the Sloping
Land Conversion Program (SLCP) implemented at a household level. This explanation is prioritized against competing alternative processes, including socioeconomic development and associated off-farm employment opportunities or the shifting livelihood strategies
of rural households. Drawing from a broader understanding of how policies were implemented and the related land-use changes that have occurred in Yunnan over the last 20 years, we discover that these forest pathway alternatives are actually interconnected
processes at the household level. We employ multivariate discriminant analysis to associate household variations in tree planting (through, or independent of, SLCP) to a set of variables intended to capture a broader set of processes that influence households’
ability and willingness to make land-use changes. We find that tree-planting activities relate to a combination of factors, including policies, migration (available labor and off-farm income) and agricultural profitability. Thus, we suggest that forest transition
research should more explicitly examine pathway interconnections in understanding forest recovery.<o:p></o:p></span></p>
<p style="line-height:150%"><strong><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050">Keywords</span></strong><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050">: forest
transition, pathways, household survey, land-use change, discriminant analysis, China<o:p></o:p></span></p>
<p style="line-height:150%"><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050"><a href="http://www.geography.osu.edu/faculty/dmunroe/index/dmunroe.html" target="_blank"><span style="color:#0DB297">Speaker Biography:</span></a><o:p></o:p></span></p>
<p style="line-height:150%"><span style="font-size:10.5pt;line-height:150%;font-family:"Helvetica","sans-serif";color:#505050">Darla Munroe is an economic geographer who studies land use/cover change. She is interested in how economic restructuring (e.g., neoliberalism
and globalization) and political changes (e.g., land reform) lead to changes in agricultural and forested landscapes. In order to understand processes underlying land-use/cover change and associated socioecological effects, she employs a variety of techniques
including statistics, spatial statistics and more recently, complex systems frameworks and agent-based modeling.<o:p></o:p></span></p>
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<span style="font-family:"Helvetica","sans-serif";color:#505050">WICI Research<o:p></o:p></span></h4>
<p class="MsoNormal" style="line-height:150%"><span style="font-size:9.0pt;line-height:150%;font-family:"Arial","sans-serif";color:#505050">Check out recent WICI research on our
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<p class="MsoNormal">Maria Legault, B.E.S.; Candidate for M.E.S.<o:p></o:p></p>
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<p class="MsoNormal">Administrative Assistant, Waterloo Institute for Complexity and Innovation (WICI)<o:p></o:p></p>
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<p class="MsoNormal">Email: <a href="mailto:maria.legault@wici.ca" target="_blank">maria.legault@wici.ca</a><o:p></o:p></p>
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<p class="MsoNormal">Phone: 519-888-4567 ext. 31813<o:p></o:p></p>
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<p><i>The Waterloo Institute for Complexity and Innovation (WICI) facilitates rigorous transdisciplinary and collaborative research promoting innovation and resilience within—and beneficial transformation of—the complex adaptive systems at the core of human
well being in the 21st century.</i><o:p></o:p></p>
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