School of Natural Resources
Oct. 29, 2024
Uncovering roots of agricultural simplification: NSF grant fuels SNR professor’s mission to transform farming practices, revitalize rural communities
American farmers have cherished their symbiotic relationship with the land they farm for generations. They care for the land, and the land provides a bountiful harvest that feeds the nation in return. But, what if, somewhere along the way, in that effort to care for the land, we got “stuck” and found ourselves in systems that no longer served the land we tend and depend on so much?
Oct. 27, 2024
Parks, Recreation, Sport and Tourism alumni begin their careers through connections to Mizzou Athletics
Through the Parks, Recreation, Sport and Tourism degree program, CAFNR students can complete their senior capstone with Mizzou Athletics before potentially moving into a full-time staff role.
Oct. 24, 2024
Coaching Sports
Oct. 2, 2024
Fourth annual CAFNR Research Symposium poster winners announced
The fourth annual CAFNR Research Symposium was held Tuesday, Oct. 1, and included a poster session. Undergraduate and graduate students as well as postdocs contributed posters to the session. In total, 89 posters were exhibited.
Sep. 22, 2024
CAFNR students gain varied industry experiences through summer internships
Students throughout CAFNR participated in internships across the nation and many facets of the agricultural industry to prepare for their future careers.
Sep. 11, 2024
CAFNR welcomes new faculty for Fall 2024
Eighteen new faculty members have recently joined CAFNR.
Aug. 12, 2024
Kate Nelson
Nelson’s research focuses on issues related to the sustainability of communities and agricultural landscapes (SCALEs). Nelson’s team addresses challenges related to climate change adaptation and social equity, with an emphasis on rural and agricultural systems in the U.S. This work includes studies of: the equity of flood mitigation policy implementation, relationships between landscape structure and resilience of crop production, and rural sustainability assessment. Nelson’s research frequently applies large-scale quantitative spatial analysis to interrogate the bounds of relationships and identify scalar influences but also employs mixed methods approaches to ground and contextualize findings. Educational background…
July 30, 2024
Kristin E. Gibson
Kristin Gibson is an Assistant Professor of Conservation and Environmental Education in the School of Natural Resources at the University of Missouri. She holds a Ph.D. and master’s degree from the University of Georgia and a bachelor’s degree from the University of North Carolina at Chapel Hill. Before joining the University of Missouri, she served as a Teaching Assistant for the Austrian Federal Ministry of Education, Science, and Research through Fulbright Austria (2018–2019), worked as a Coastal Community Engagement Specialist AmeriCorps Member with the North Carolina Coastal Federation (2017–2018), and held several seasonal positions in natural resources communication and outreach.
July 30, 2024
Wonjin Jeong
Recent research projects include investigating leisure behavior as resistance in urban greening initiatives, exploring the psychological impacts of neighborhood greenness and park use, and assessing subjective well-being in resident-led vacant lot greening efforts within underserved communities. Educational background…
July 30, 2024
Qian Liu
Climate factors and extreme weathers require accurate and effective detection, segmentation, and estimation, as well as the in-depth understanding of physical and atmospheric process. The increasing availability of remote sensing images, ground-based observations, and model simulations along with the rapid progress of computing technologies have provided us the unprecedented opportunity to better satisfy the above-mentioned requirements. In my research, beyond the traditional methodology for environmental factors and natural disasters analytics, I pursue high-efficient and automatic approaches by developing a series of AI and spatiotemporal methodologies and frameworks to detect, retrieve, classify and analyze climate factors such as cloud, air…