The Control of Plant and Soil Hydraulics on the Interannual Variability of Plant Carbon Uptake Over the Central US

Zhang, Xueyan; Niu, Guo Yue; Zeng, Xubin

doi:10.1029/2021jd035969

Cited by 3 publications

(2 citation statements)

References 81 publications

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“…A recent study also confirms that many central US ecosystems' interannual variability in carbon uptake is driven by plant and soil hydraulics (X.-Y. Zhang et al, 2022). Despite this enhancement of GPP, respiration dominated interannual NEE variability across sites, thus offsetting any CO 2 fertilization effect (Bugmann & Bigler, 2011;Yu et al, 2021).…”

Section: Drivers Of Long-term Landscape C Variationmentioning

confidence: 62%

Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems

et al. 2022

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Long‐running eddy covariance flux towers provide insights into how the terrestrial carbon cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem exchange (NEE) of carbon dioxide (CO2) across the Chequamegon Ecosystem‐Atmosphere Study AmeriFlux core site cluster in the upper Great Lakes region of the USA from 1997 to 2020. The tower network included two mature hardwood forests with differing management regimes (US‐WCr and US‐Syv), two fen wetlands with varying levels of canopy sheltering and vegetation (US‐Los and US‐ALQ), and a very tall (400 m) landscape‐level tower (US‐PFa). Together, they provided over 70 site‐years of observations. The 19‐tower Chequamegon Heterogenous Ecosystem Energy‐balance Study Enabled by a High‐density Extensive Array of Detectors 2019 campaign centered around US‐PFa provided additional information on the spatial variation of NEE. Decadal variability was present in all long‐term sites, but cross‐site coherence in interannual NEE in the earlier part of the record became weaker with time as non‐climatic factors such as local disturbances likely dominated flux time series. Average decadal NEE at the tall tower transitioned from carbon source to sink to near neutral over 24 years. Respiration had a greater effect than photosynthesis on driving variations in NEE at all sites. Declining snowfall offset potential increases in assimilation from warmer springs, as less‐insulated soils delayed start of spring green‐up. Higher CO2 increased maximum net assimilation parameters but not total gross primary productivity. Stand‐scale sites were larger net sinks than the landscape tower. Clustered, long‐term carbon flux observations provide value for understanding the diverse links between carbon and climate and the challenges of upscaling these responses across space.

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Section: Drivers Of Long-term Landscape C Variationmentioning

confidence: 62%

Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems

et al. 2022

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“…X. Zhang, Niu, et al. (2022) compared the simulations of a land surface model with two different soil water retention models. They found that the soil water content model with more reasonable soil hydraulics can produce a much more realistic gross primary productivity estimation.…”

Section: Introductionmentioning

confidence: 99%

A Family of Soil Water Retention Models Based on Sigmoid Functions

Zuo

Zhang

2023

Water Resources Research

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The soil water retention curve is the fundamental soil hydraulic property to characterize soil water movement and solute transport. Many efforts have been devoted in the past decades to developing models to describe soil water retention curves. However, most of them are empirical equations or assume that soil pore size distributions conform to a lognormal distribution. Yet, few effects have been undertaken to systematically propose and compare a series of possible alternative probability density functions to describe the sigmoid retention curves with parameters physically explainable. Here, we proposed a family of five soil water retention models based on sigmoid functions with parameters of clear physical implications coinciding with the statistical measures of soil pore size distribution. Compared with the widely used models (i.e., Brooks & Corey, 1964; Kosugi, 1996; van Genuchten, 1980), the proposed models have somewhat improved performances to characterize water retention data for a wide range of soil textures without introducing additional model parameters. Two of the proposed models are capable of characterizing the observed two local extrema in the moisture capacity curves. The associated unsaturated hydraulic conductivity models of the proposed soil water retention models are also derived, which show superior performance in characterizing the observed hydraulic conductivities compared with competing models, especially in macropore regimes. Additionally, we analyzed the parameter‐equivalent conversion between the proposed and the existing models, and a simple linear regression equation can be used to derive the parameters of the proposed models from the existing and other alternative different proposed models.

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Drivers of decadal carbon fluxes across temperate ecosystems

Desai

Wiesner

Thom

et al. 2022

Preprint

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Long-running eddy covariance flux towers provide insights into how the terrestrial carbon cycle operates over multiple timescales. Here, we evaluated variation in net ecosystem exchange (NEE) of carbon dioxide (CO 2 ) across the Chequamegon Ecosystem-Atmosphere Study AmeriFlux core site cluster in the upper Great Lakes region of the USA from 1997 to 2020. The tower network included two mature hardwood forests with differing management regimes (US-WCr and US-Syv), two fen wetlands with varying levels of canopy sheltering and vegetation (US-Los and US-ALQ), and a very tall (400 m) landscape-level tower (US-PFa). Together, they provided over 70 site-years of observations. The 19-tower Chequamegon Heterogenous Ecosystem Energy-balance Study Enabled by a High-density Extensive Array of Detectors 2019 campaign centered around US-PFa provided additional information on the spatial variation of NEE. Decadal variability was present in all long-term sites, but cross-site coherence in interannual NEE in the earlier part of the record became weaker with time as non-climatic factors such as local disturbances likely dominated flux time series. Average decadal NEE at the tall tower transitioned from carbon source to sink to near neutral over 24 years. Respiration had a greater effect than photosynthesis on driving variations in NEE at all sites. Declining snowfall offset potential increases in assimilation from warmer springs, as less-insulated soils delayed start of spring green-up. Higher CO 2 increased maximum net assimilation parameters but not total gross primary productivity. Stand-scale sites were larger net sinks than the landscape tower. Clustered, long-term carbon flux observations provide value for understanding the diverse links between carbon and climate and the challenges of upscaling these responses across space.

show abstract

The Control of Plant and Soil Hydraulics on the Interannual Variability of Plant Carbon Uptake Over the Central US

Cited by 3 publications

References 81 publications

Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems

Drivers of Decadal Carbon Fluxes Across Temperate Ecosystems

A Family of Soil Water Retention Models Based on Sigmoid Functions

Drivers of decadal carbon fluxes across temperate ecosystems

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