Multi-scale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States

Xin, Qinchuan; Broich, Mark; Suyker, Andrew E.; Yu, Le; Gong, Peng

doi:10.1016/j.agrformet.2014.11.004

Cited by 59 publications

(41 citation statements)

References 49 publications

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“…The R 2 value increases slightly to 0.710 after accounting for the influences of temperature and vapor pressure. The model performance here is comparable to results from other studies that evaluate production efficiency models (Chen et al, 2011;Sjöström et al, 2013;Xin et al, 2015). However, there are strong partial correlations between canopy CO 2 concentrations and GPP even after accounting for radiation absorption.…”

Section: Influence Of Co 2 Concentration On Canopy Photosynthesissupporting

confidence: 78%

Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes

Xin

Gong

2015

Biogeosciences

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Abstract. Modeling vegetation photosynthesis is essential for understanding carbon exchanges between terrestrial ecosystems and the atmosphere. The radiative transfer process within plant canopies is one of the key drivers that regulate canopy photosynthesis. Most vegetation cover consists of discrete plant crowns, of which the physical observation departs from the underlying assumption of a homogenous and uniform medium in classic radiative transfer theory. Here we advance the Geometric Optical Radiative Transfer (GORT) model to simulate photosynthesis activities for discontinuous plant canopies. We separate radiation absorption into two components that are absorbed by sunlit and shaded leaves, and derive analytical solutions by integrating over the canopy layer. To model leaf-level and canopylevel photosynthesis, leaf light absorption is then linked to the biochemical process of gas diffusion through leaf stomata. The canopy gap probability derived from GORT differs from classic radiative transfer theory, especially when the leaf area index is high, due to leaf clumping effects. Tree characteristics such as tree density, crown shape, and canopy length affect leaf clumping and regulate radiation interception. Modeled gross primary production (GPP) for two deciduous forest stands could explain more than 80 % of the variance of flux tower measurements at both near hourly and daily timescales. We demonstrate that ambient CO 2 concentrations influence daytime vegetation photosynthesis, which needs to be considered in biogeochemical models. The proposed model is complementary to classic radiative transfer theory and shows promise in modeling the radiative transfer process and photosynthetic activities over discontinuous forest canopies.

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Section: Influence Of Co 2 Concentration On Canopy Photosynthesissupporting

confidence: 78%

Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes

Xin

Gong

2015

Biogeosciences

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“…Vegetation primary productivities under different photosynthetic pathways (i.e., C3 versus C4) have varied sensitivities to ambient temperatures (Kalfas, Xiao, Vanegas, Verma, & Suyker, 2011;Xin, Broich, Suyker, Yu, & Gong, 2015). As a result, grass growth may respond diversely to climate change and variability, and regrowth is likely to occur in areas where climate permits.…”

Section: Modelmentioning

confidence: 99%

Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics

Xin

Broich

Zhu

et al. 2015

Remote Sensing of Environment

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“…In addition to eddy covariance fluxes, grain yield records of wheat and maize in county statistics are also used to verify the GPP predictions at the regional scale. The method of crop yield converted to GPP follows Xin et al (2015).…”

Section: Datamentioning

confidence: 99%

Attributing regional trends of evapotranspiration and gross primary productivity with remote sensing: a case study in the North China Plain

Chen

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Attributing changes in evapotranspiration (ET) and gross primary productivity (GPP) is crucial for impact and adaptation assessment of the agro-ecosystems to climate change. Simulations with the VIP model revealed that annual ET and GPP slightly increased from 1981 to 2013 over the North China Plain. The tendencies of both ET and GPP were upward in the spring season, while they were weak and downward in the summer season. A complete factor analysis illustrated that the relative contributions of climatic change, CO 2 fertilization, and management to the ET (GPP) trend were 56 (−32) %, −28 (25) %, and 68 (108) %, respectively. The decline of global radiation resulted from deteriorated aerosol and air pollution was the principal cause of GPP decline in summer, while air warming intensified the water cycle and advanced the plant productivity in the spring season. Generally, agronomic improvements were the principal drivers of crop productivity enhancement.

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Multi-scale evaluation of light use efficiency in MODIS gross primary productivity for croplands in the Midwestern United States

Cited by 59 publications

References 49 publications

Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes

Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes

Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics

Attributing regional trends of evapotranspiration and gross primary productivity with remote sensing: a case study in the North China Plain

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