July 2015: Flurin Babst from Arizona Tree Ring Lab. visiting for the summer – welcome to Bozeman!
July 2015: Jerad Hoy’s summer (2014) research featured in the IoE newsletter on his interactive tool to help understand US emission targets
June 2015: Katie and Kristen at the USGS North Central Science Center Open Science meeting
June 2015: Katie Renwick (PhD CSU) joins the lab to work on climate impacts of sagebrush systems
June 2015: Further confirmation and evidence for the importance of semi-arid systems in the global carbon cycle Ahlstrom et al. Science
May 2015: Leo off to JAMSTEC (Japan), Zhen at WSL (CH) and Nicolas at LSCE (France) for summer research
May 2015: Read an accompanying article in The Conversation discussing how changes in water-use efficiency and transpiration, published by David Frank, myself and others on May 11, 2015 in Nature Climate Change
September 2014: Global Carbon Budget 2014 now online
August 2014: Congrats to MSU Undergrads Jared Hoy and Frances Ambrose on their research this summer on estimating Montana’s greenhouse gas budget and on collecting plant traits for modeling fire effects in Greater Yellowstone!
May 2014: We recently published a paper describing the surprising role of semi-arid systems in the carbon cycle in Nature – the reference, an FAQ, and media are linked here: Nature, May 2014.
For undergraduate students looking for thesis projects related to energy and the environment, the lab has a position available to compile and analyze statistics related to statewide greenhouse gas emissions. Please send me an email at firstname.lastname@example.org if you are interested!
Ecological Modeling BIOE 591
Dr. Ben Poulter, Department of Ecology
Many ecological processes take place at time scales that are either too fast or slow, or occur at spatial scales either too small or large, for direct observation. With a wealth of ecological data steadily accumulating from various networks of vegetation plots (e.g., US Forest Inventory Analysis), ecosystem experiments (e.g., Next Generation Ecosystem Experiments), plant traits (e.g., TRY) and remote sensing (e.g., European Space Agency Climate Change Initiative), it is becoming increasingly possible to understand ecosystem processes across the complete range of scales to address questions related to i) climate change impacts, ii) disturbance regimes, iii) land management, and iv) land-surface feedbacks, for example. This course will introduce students to ecological modeling as a tool for integrating data from observations and experiments with theoretical approaches, with a particular focus on terrestrial ecosystems. A comprehensive range of topics will be covered; including those related to ecosystem development (i.e., establishment, growth, competition, mortality and disturbance), issues associated with aggregating and scaling ecological data, and introduction to various approaches used for computer modeling. By the end of the course, students will be expected to understand a variety of approaches for abstracting observed ecosystem processes to models, have a background in the technical tools available to construct computer models, and be able to critically evaluate modeling approaches used in major synthesis assessments such as the Intergovernmental Panel on Climate Change Reports.
PLOS ONE is an open-access, high profile journal – please consider submitting your manuscripts on global change ecology to http://www.plosone.org