Mike Dietze lead authors new published paper
The new paper, “A quantitative assessment of a terrestrial biosphere model’s data needs across North American biomes,” was part of an invited special issue on “Experiment-Model Integration in Terrestrial Ecosystems Study: Current Practices and Future Challenges.”
Assisting Dietze as co-authors on the paper are many of current and recent graduate students and post-doctoral associates of Dietze’s lab, the Dietze Laboratory, including current Department of Earth & Environment PhD candidate Joshua Mantooth.
Also assisting Dietze in the synthesis of available data on the project is current Department of Earth & Environment Post-Doctoral Associate Brady Hardiman and Boston University Undergraduate Lindsey Shanks.
A more detailed analysis of the content of the paper is below:
This paper uses the PEcAn framework developed by lab to assess the patterns of uncertainty in predictions of Net Primary Productivity (NPP) by the Ecosystem Demography model across 17 vegetation types in four biomes. The paper identifies four key processes responsible for the vast majority of model uncertainty. The dominant processes is growth respiration, which quantifies the metabolic cost of biosynthesis. The second most important process is stomatal conductance, which was affected by two parameters, stomatal slope and water conductance. Stomatal slope controls the effects of humidity, photosynthesis, and CO2 on stomatal conductance. Water conductance controls the effects of soil moisture and plant root distribution on stomatal conductance. The third most important processes was photosynthesis under low light conditions, and was specifically a reflection of insufficient data availability at high latitudes. The final process reflected how plant mortality rates responded to stress and competition.