By Andi Anderson
The Michigan Department of Agriculture and Rural Development (MDARD) has funded new research projects at the Kellogg Biological Station Long-Term Agroecosystem Research (KBS LTAR) program. These projects aim to enhance climate resilience in agriculture by providing farmers with data-driven solutions for sustainable land management.
One of the funded projects, led by Dr. Bruno Basso, will develop predictive models using KBS LTAR data. These models will help farmers make informed decisions about land management by offering insights into soil conditions and climate impacts.
Dr. Jiquan Chen’s project will utilize energy, carbon, water, and nitrogen cycling data collected through advanced monitoring systems, including Eddy Covariance Towers. This research will provide high-quality information to farmers and land managers, helping them develop strategies to increase resilience in agricultural ecosystems.
Another project, led by Dr. Subhasis Giri, will focus on reducing soil carbon loss and nutrient runoff. By analyzing data from KBS LTAR, the study aims to create tools that mitigate soil erosion and nitrogen leaching, ensuring better soil health and productivity.
These research efforts align with Michigan’s commitment to sustainable agriculture and climate adaptation. By leveraging long-term data from KBS LTAR, scientists can support farmers in making evidence-based decisions to improve productivity while protecting the environment.
The newly funded projects highlight the role of scientific research in addressing climate-related agricultural challenges.
With ongoing collaborations, KBS LTAR will continue to serve as a vital resource for farmers seeking innovative solutions to build resilience against changing climate conditions.
Photo Credit: gettyimages-shotbydave
Categories: Michigan, Sustainable Agriculture