Non-growing Season Plant Nutrient Uptake Controls Arctic Tundra Vegetation Composition: Modeling Archive ...

• Main Authors: Riley, William, Mekonnen, Zelalem, Tang, Jinyun, Zhu, Qing, Bouskill, Nicholas, Grant, Robert
• Format: Dataset
• Language: English
• Published: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US) 2022
• Subjects: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > LAND SURFACE > SOILS; Seward Peninsula, Alaska; North Slope, Alaska; ecosys model predictions; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; Utqiagvik, Alaska; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS; Barrow Environmental Observatory BEO; Alaska North Slope; Barrow; north slope; Seward Peninsula; Tundra; Alaska
• Online Access: https://dx.doi.org/10.5440/1785957; https://www.osti.gov/servlets/purl/1785957/

This Modeling Archive is in support of a NGEE-Arctic publication: Riley et al. (2021) “Non-growing season plant nutrient uptake controls Arctic tundra vegetation composition under future climate” (Riley et al., 2021). The dataset contains “ecosys” model outputs reported in Riley et al. (2021) that examines the role of non-growing season (NGS) nutrient dynamics on 21st century vegetation composition. The study highlighted the importance of these nutrient dynamics on the emergent plant functional type distributions, focusing on their role in shrub expansion. The study showed that ignoring NGS nutrient dynamics led to a dramatic under-prediction of shrub expansion by year 2100, motivating the need to include these processes in Earth System Models. Included are modeled net primary production (NPP) and nitrogen (N) uptake for two scenarios: (1) baseline and (2) no NGS N uptake. The output is provided (1) at 25 km resolution across the North American tundra; (2) for years 2012 through 2100; and (3) PFT-specific. ...