Exploring the value of long-term data sets to develop and evaluate agricultural management practices
Forty participants, with over 40% comprising ECRs, attended this event. Although participants were predominantly from EU countries, the wide appeal of the subject matter resulted in participants from outside the SHui consortium attending, including from Hungary, India and Pakistan.
Long-term data sets are essential for scientists to identify and understand agriculture’s ecological and environmental consequences to inform land managers and policy makers. They provide data that may also be used to develop theoretical models and to calibrate and validate simulation models. Long-term data can act as platforms for collaborative studies, thus promoting multidisciplinary research.
The webinar probed the following questions:
- What are the benefits of long-term measurements at plot and catchment scales?
- Do we measure the relevant parameters for hydrological modeling at catchment scale?
- How can I benefit from SHui’s long-term data curation?
- How can I use SHui data for decision making and agro-environmental modeling?
Slides for download.