University of Sussex
Browse

File(s) under permanent embargo

The sensitivity of North American terrestrial carbon fluxes to spatial and temporal variation in soil moisture: an analysis using radar-derived estimates of root zone soil moisture

journal contribution
posted on 2023-06-09, 19:19 authored by Ke Zhang, Ashehad Ali, Alexander AntonarakisAlexander Antonarakis, Mahta Moghaddam, Sassan Saatchi, Alireza Tabatabaeenejad, Richard Chen, Sermsak Jaruwatanadilok, Richard Cuenca, Wade T Crow, Paul Moorcroft
This study examines the impact of variation in Root-Zone Soil Moisture (RZSM), a key component of the Earth's hydrologic cycle and climate system, on regional carbon fluxes across seven North American ecosystems. P-band Synthetic Aperture Radar-derived RZSM estimates were incorporated into the Ecosystem Demography (ED2) terrestrial biosphere model through a model-data blending approach. Analysis shows that the model qualitatively captures inter-daily and seasonal variability of observed RZSM at seven flux tower sites (r=0.59 ± 0.26 and r= 0.70 ± 0.22 for 0-10cm and 10-40cm soil layers, respectively; P<0.001). Incorporating the remotely-sensed RSZM estimates increases the accuracy (root-mean-square deviations decrease from 0.10 ± 0.07 m3m-3 and 0.09 ± 0.06 m3m-3 to 0.08 ± 0.05 m3m-3 and 0.07 ± 0.03 m3m-3 for 0-10 cm and 10-40 cm soil layers, respectively) of the model's RZSM predictions. The regional carbon fluxes predicted by the native and RZSM-constrained model were used to quantify sensitivities of gross primary productivity (GPP), autotrophic respiration (Ra), heterotrophic respiration (Rh) and net ecosystem exchange (NEE) to variation in RZSM. GPP exhibited the largest sensitivity (6.6 ± 10.7 kgCm-2 y-1?-1) followed by Ra (2.9 ± 7.3 kgCm-2 y-1?-1), Rh (2.6 ± 3.1kg Cm-2 y-1?-1), and NEE (-1.7 ± 7.8 kgCm-2 y-1?-1). Analysis shows that these carbon flux sensitivities varied considerably across regions, reflecting influences of canopy structure, soil properties, and the eco-physiological properties of different plant functional types. This study highlights (1) the importance of: improved terrestrial biosphere model predictions of RZSM to improve predictions of terrestrial carbon fluxes, (2) improved pedotransfer functions, and (3) improved understanding of how soil characteristics, climate, and vegetation composition interact to govern the responses of different ecosystems to changing hydrological conditions.

Funding

AirMOSS; National Aeronautical and Space Administration; NASA Earth Venture-1 09-EV109-0006

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Journal of Geophysical Research: Biogeosciences

ISSN

2169-8961

Publisher

American Geophysical Union

Issue

11

Volume

124

Page range

3208-3231

Department affiliated with

  • Geography Publications

Research groups affiliated with

  • climate@sussex Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-10-11

First Compliant Deposit (FCD) Date

2019-10-10

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC