Steven McNulty
Area(s) of Expertise
Landscape to Regional Scale Forest Ecosystem Modeling
Publications
- Temperature and Water Levels Collectively Regulate Methane Emissions From Subtropical Freshwater Wetlands , GLOBAL BIOGEOCHEMICAL CYCLES (2025)
- Energy availability and leaf area dominate control of ecosystem evapotranspiration in the southeastern U.S (vol 349, 109960, 2024) , AGRICULTURAL AND FOREST METEOROLOGY (2024)
- Hydrologic Perturbation Is a Key Driver of Tree Mortality in Bottomland Hardwood Wetland Forests of North Carolina, USA , FORESTS (2024)
- Toward spectrally truthful models for gap-filling soil respiration and methane fluxes. A case study in coastal forested wetlands in North Carolina , AGRICULTURAL AND FOREST METEOROLOGY (2024)
- Beyond carbon flux partitioning: Carbon allocation and nonstructural carbon dynamics inferred from continuous fluxes , ECOLOGICAL APPLICATIONS (2022)
- Effects of methodological difference on fine root production, mortality and decomposition estimates differ between functional types in a planted loblolly pine forest , PLANT AND SOIL (2022)
- The Unabated Atmospheric Carbon Losses in a Drowning Wetland Forest of North Carolina: A Point of No Return? , Forests (2022)
- Ecosystem Productivity and Evapotranspiration Are Tightly Coupled in Loblolly Pine (Pinus taeda L.) Plantations along the Coastal Plain of the Southeastern U.S. , Forests (2021)
- Measurements of fine root decomposition rate: Method matters , SOIL BIOLOGY & BIOCHEMISTRY (2021)
- Spatial variability in tree-ring carbon isotope discrimination in response to local drought across the entire loblolly pine natural range , TREE PHYSIOLOGY (2021)
Grants
This is a proposal to conduct multiple-disciplinary research on the development and application of a very complex model from energy/technology to earth system model (Atmos., land/ice, and ocean), then to agro-ecosystem model (water and forest) involving chem. engineers, atmo. scientist, hydrologist, and ecologist. Driven by a Technology/energy model that is being developed by the co-PI at the DOE's Argonne National lab, the earth system model can generate hourly/daily climatic/meteorological/radiative variables and chemical concentrations and nitrogen deposition over global and nested urban regional domains at a high spatial resolution under current and future climate scenarios. These information can be used to drive the agro-ecosystem models such as the water system model and the forest carbon/nitrogen cycle models, to simulate how each of the systems responds to changes in future energy/technology use, climate changes, and air quality changes. Based on multiple model runs for the complex system under a number of future climate/energy use scenarios, we will develop several response surface models that will provide a fast decision tool to the governmental agencies to develop integrated emission control strategies for climate mitigation, air quality control, and agro-ecosystem management. The project team will include NCSU, ANL/DOE, and USDA Forest Service.