Performance of the ecosystem demography model (EDv2.2) in simulating gross primary production capacity and activity in a dryland study area

Hamid Dashti; Karun Pandit; Nancy F. Glenn; Douglas J. Shinneman; Gerald N. Flerchinger; Andrew A. Hudak; Marie Anne de Graaf; Alejandro N Flores; Susan L. Ustin; Nayani Ilangakoon; Aaron W. Fellows

doi:10.1016/j.agrformet.2020.108270

Performance of the ecosystem demography model (EDv2.2) in simulating gross primary production capacity and activity in a dryland study area

Agricultural and Forest Meteorology

By: Hamid Dashti, Karun Pandit, Nancy F. Glenn, Douglas J. Shinneman, Gerald N. Flerchinger, Andrew A. Hudak, Marie Anne de Graaf, Alejandro N Flores, Susan L. Ustin, Nayani Ilangakoon, and Aaron W. Fellows

https://doi.org/10.1016/j.agrformet.2020.108270

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Abstract

Dryland ecosystems play an important role in the global carbon cycle, including regulating the inter-annual global carbon sink. Dynamic global vegetation models (DGVMs) are essential tools that can help us better understand carbon cycling in different ecosystems. Currently, there is limited knowledge of the performance of these models in drylands partly due to characterizing the heterogeneity of the vegetation and hydrometeorological conditions. The aim of this study is to evaluate the performance of a DGVM for drylands to facilitate improved understanding of gross primary production (GPP) as one of the important components of the carbon cycle. We performed a sensitivity analysis and calibrated the Ecosystem Demography (EDv2.2) DGVM to simulate GPP in a dryland watershed (Reynolds Creek Experimental Watershed, Idaho) in the western US for the years 2000-2017. GPP capacity and activity were investigated by comparing model simulations with GPP estimated from eddy covariance data (available from 2015-2017) and remote sensing products (2000-2017). Our results show good performance of EDv2.2 at daily timesteps ( $R M S E \approx 0.38 [kgC / m^{2} / year])$

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Additional publication details
Publication type	Article
Publication Subtype	Journal Article
Title	Performance of the ecosystem demography model (EDv2.2) in simulating gross primary production capacity and activity in a dryland study area
Series title	Agricultural and Forest Meteorology
DOI	10.1016/j.agrformet.2020.108270
Volume	297
Year Published	2021
Language	English
Publisher	Elsevier
Contributing office(s)	Forest and Rangeland Ecosystem Science Center
Description	108270, 10 p.
Country	United States
State	Idaho
Other Geospatial	Reynolds Creek Experimental Watershed
Google Analytic Metrics	Metrics page