COS 55-6 - Plant functional traits, community composition, and environmental conditions combine to produce ecosystem-level N cycling dynamics in an individual-based model of wetlands

Wednesday, August 14, 2019: 9:50 AM
M112, Kentucky International Convention Center
William S. Currie, School For Environment and Sustainability, University of Michigan, Ann Arbor, MI, Kenneth J. Elgersma, Biology, University of Northern Iowa, Cedar Falls, IA, Jason P. Martina, Texas A&M University, College Station, TX, Sean Sharp, School for Environment and Sustainability, University of Michigan, Ann Arbor, MI and Deborah Goldberg, Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI
Background/Question/Methods

Ecologists have long been interested in the relationships among species functional traits, community composition, and ecosystem function. We performed in silico experiments with a simulation model, Mondrian, applied in coastal Great Lakes wetlands with clonal plants Eleocharis smallii, Schoenoplectus acutus, and Juncus balticus. Mondrian is a spatially-explicit, individual-based model that simulates competition for N and light, while including clonal transfers of C and N within genets. It incorporates four levels of organization: Individual plant physiology and morphology including clonal branching, population processes including reproduction and mortality, community composition and dynamics, and ecosystem processes. The latter include complete C and N cycles with live biomass and detrital pools, simulate the main biogeochemical processes in wetlands and the effects of climate and water level. To gain insight into the ecosystem N cycle as a dynamic phenomenon arising from the interplay of plant traits, environmental conditions, and biogeochemical processes, we simulated constant annual conditions over a 50 year period without disturbance. In sets of model runs, we examined the effects on ecosystem N cycling of a range of species functional traits under a range of constant environmental conditions including N loading, climate, and water level.

Results/Conclusions

The ecosystem N cycle functioned as an attractor on decadal time scales. Starting with low N storage in detritus (2.5 g N/m2) and an inflow of 10 g N/m2y, the ecosystem retained N as it built detritus (to 27 g N/m2), eventually supporting a community N uptake of 10.7 g N/m2y. Alternatively, starting with high N storage in detritus (48 g N/m2) the wetland lost N until it reached the same equilibrium point. Alteration of species traits or biogeochemical parameters altered the attractor values of N fluxes. Decreasing N resorption (a functional trait) in J. balticus caused, for the same N loading, a higher equilibrium in detrital N storage (28 g N/m2) and greater community N uptake (11.8 g N/m2y). The ecosystem-level altered N cycling fluxes fed back to produce altered species-level outcomes. While decreasing resorption in J. balticus caused a rise in N availability for all species, it harmed J. balticus in competition, lowering it from 81% to 18% of the community. An altered environmental condition such as water level had an effect that changed over the long term, as ecosystem N cycling and plant community compositions both changed and adjusted to one another on decadal time scales.