Topographical Controls on Hillslope-Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska

Zelalem A. Mekonnen, William J. Riley, Robert F. Grant, Verity G. Salmon, Colleen M. Iversen, Sébastien C. Biraud, Amy L. Breen, Mark J. Lara

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Observations indicate shrubs are expanding across the Arctic tundra, mainly on hillslopes and primarily in response to climate warming. However, the impact topography exerts on hydrology, nutrient dynamics, and plant growth can make untangling the mechanisms behind shrub expansion difficult. We examined the role topography plays in determining shrub expansion by applying a coupled transect version of a mechanistic ecosystem model (ecosys) in a tundra hillslope site in the Seward Peninsula, Alaska. Modeled biomass of the dominant plant functional types agreed well with field measurements (R2 = 0.89) and accurately represented shrub expansion over the past 30 years inferred from satellite observations. In the well-drained crest position, canopy water potential and plant nitrogen (N) uptake was modeled to be low from plant and microbial water stress. Intermediate soil water content in the mid-slope position enhanced mineralization and plant N uptake, increasing shrub biomass. The deciduous shrub growth in the mid-slope position was further enhanced by symbiotic N2 fixation primed by increased root carbon allocation. The gentle slope in the poorly drained lower-slope position resulted in saturated soil conditions that reduced soil O2 concentrations, leading to lower root O2 uptake and lower nutrient uptake and plant biomass. A simulation that removed topographical interconnectivity between grid cells resulted in (1) a 28% underestimate of mean shrub biomass and (2) over or underestimated shrub productivity at the various hillslope positions. Our results indicate that land models need to account for hillslope-scale coupled surface and subsurface hydrology to accurately predict current plant distributions and future trajectories in Arctic ecosystems.

Original languageEnglish
Article numbere2020JG005823
JournalJournal of Geophysical Research: Biogeosciences
Volume126
Issue number2
DOIs
StatePublished - Feb 2021

Funding

This research was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE-AC02-05CH11231 to Lawrence Berkeley National Laboratory as part of the Next-Generation Ecosystem Experiments in the Arctic (NGEE-Arctic) project and the RUBISCO Scientific Focus Area of the RGMA program. We thank numerous people for the sample collection and processing needed to generate the empirical data used to inform this modeling analysis. Oak Ridge National Laboratory is managed by UT-Battelle, LLC for the United States Department of Energy under Contract Number DE-AC05-00OR22725. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). We are grateful for the geospatial support provided by the Polar Geospatial Center under NSF PLR awards 1043681 and 1559691, and NSF Environmental Engineering award 1928048. This research was supported by the Director, Office of Science, Office of Biological and Environmental Research of the US Department of Energy under contract no. DE‐AC02‐05CH11231 to Lawrence Berkeley National Laboratory as part of the Next‐Generation Ecosystem Experiments in the Arctic (NGEE‐Arctic) project and the RUBISCO Scientific Focus Area of the RGMA program. We thank numerous people for the sample collection and processing needed to generate the empirical data used to inform this modeling analysis. Oak Ridge National Laboratory is managed by UT‐Battelle, LLC for the United States Department of Energy under Contract Number DE‐AC05‐00OR22725. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid‐up, irrevocable, world‐wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). We are grateful for the geospatial support provided by the Polar Geospatial Center under NSF PLR awards 1043681 and 1559691, and NSF Environmental Engineering award 1928048.

Keywords

  • Arctic vegetation change
  • climate warming
  • hillslope hydrology
  • modeling vegetation dynamics
  • shrub expansion
  • shrubs and topography

Fingerprint

Dive into the research topics of 'Topographical Controls on Hillslope-Scale Hydrology Drive Shrub Distributions on the Seward Peninsula, Alaska'. Together they form a unique fingerprint.

Cite this