banner


December 2016

Using Computational Models to Scale Sublethal Effects of Stressors to Adverse Population Outcomes in Fish
Date: Monday, December 5, 9:00 a.m.
Location: 338 Natural Resources
Speaker: Brandon Armstrong, candidate for doctoral degree in the Department of Fisheries and Wildlife
Host: Dr. Cheryl Murphy, Fisheries and Wildlife

Special Seminar and Roundtable with Wuhan University Delegates
Date: Monday, December 5, 10:00 a.m.
Location: PSSB 271
Speaker: Profs. Yuhong Zhang, Yifeng Chen, Lihua Ziong and Dr. Jiesheng Huang, Dean of the College of Water Resources and Hydropower Engineering at Wuhan University
Host: Dr. Wei Zhang
Note: Wuhan University is one of the top universities in China. Their college is among the premier research institutions on water resources and management, and manages the China's State Key Laboratory of Water Resources and Hydropower Engineering Science. Their research and education programs cover a broad range of areas including hydraulic engineering, hydrology, hydropower, agricultural production and water management, etc. More information can be found at http://swrh.whu.edu.cn/en/platform/

Pasture Diversification to Combat Climate Change Impacts on Grazing Dairy Production
Date: Friday, December 9, 3:00 p.m.
Location: 273 Giltner Hall
Speaker: Melissa Rojas (Biosystems and Agricultural Engineering, and ESPP)
Host: ESPP
Contact: Karessa Weir
Series: ESPP Research Colloquia
Note: Abstract Livestock systems are being impacted by climate change, mainly due to the seasonal variability in temperature and precipitation. Among these systems, grazing livestock is likely to be the most impacted due to its dependence on forage quality and availability. Therefore, adaptation strategies should be implemented to reduce the negative impacts of climate change on grazing livestock. The goal of this study is to identify the best and most resilient pasture composition for a representative grazing dairy farm in Michigan to adapt to climate change. A representative grazing dairy farm was established based on the results from several surveys that were performed in the Lower Peninsula regarding typical management strategies. The representative farm data was incorporated into the Integrated Farm System Model (IFSM) to evaluate the effectiveness of the adaptation strategy concerning economic and resource use criteria. The pasture compositions evaluated in this study consist of a mixture of the most common cool-season grass species (Orchardgrass, Perennial ryegrass, Kentucky bluegrass, and Tall Fescue) and legume species (white clover and red clover) for the area under study. Each pasture composition was evaluated under both current (21 climate models) and future (42 climate models) climate scenarios. Considering the economic and resource use criteria, the best and most resilient pasture composition was identified as a mixture of 50% perennial ryegrass and 50% red clover.

Follow Us!    Subscribe to events

Sign up for automated RSS delivery of events in the next two weeks by clicking the logo.

Google Chrome Users: There is no support for RSS feeds. You must install the Google RSS Subscription Extension to properly view RSS feeds.

To submit an event, please email espp@msu.edu.