Cloudiness regulates gross primary productivity of a poplar plantation under different environmental conditions

2017 ◽  
Vol 47 (5) ◽  
pp. 648-658 ◽  
Author(s):  
Hang Xu ◽  
Zhiqiang Zhang ◽  
Jiquan Chen ◽  
Mengxun Zhu ◽  
Manchun Kang
Keyword(s):  
Primary Productivity ◽  
Forest Ecosystems ◽  
Northern China ◽  
Gross Primary Productivity ◽  
Poplar Plantation ◽  
Radiation Component ◽  
Growing Seasons ◽  
Photosynthetic Productivity ◽  
Photosynthetic Potential ◽  
Lower Vapor Pressure

Cloud cover regulates the gross primary productivity (GPP) of forest ecosystems by changing the radiation component and other environmental factors. In this study, we used an open-path eddy covariance system and microclimate sensors installed over a poplar plantation in northern China to measure the carbon exchange and climate variables during the mid-growing seasons (June to August) in 2014 and 2015. The results indicated that the GPP of the plantation peaked when the clearness index (CI) was between 0.45 and 0.65, at which point diffuse photosynthetically active radiation (PARdif) had reached its maximum. Cloudy skies increased the maximum ecosystem photosynthetic capacity (Pmax) by 28% compared with clear skies. PARdif and soil moisture were the most and the least crucial drivers for photosynthetic productivity of the plantation under cloudy skies, respectively. The ecosystem photosynthetic potential was higher under lower vapor pressure deficit (VPD < 1.5 kPa), lower air temperature (Ta < 30 °C), and nonstressed conditions (REW > 0.4) for cloudy skies due to effects of Ta and VPD on stoma. Overall, our research highlighted the importance of cloud-induced radiation component change and environmental variation in quantifying the GPP of forest ecosystems.

Evaluation and improvement of MODIS gross primary productivity in typical forest ecosystems of East Asia based on eddy covariance measurements

2013 ◽  
Vol 18 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Mingzhu He ◽  
Yanlian Zhou ◽  
Weimin Ju ◽  
Jingming Chen ◽  
Li Zhang ◽  
...  
Keyword(s):  
East Asia ◽  
Eddy Covariance ◽  
Primary Productivity ◽  
Forest Ecosystems ◽  
Gross Primary Productivity ◽  
Eddy Covariance Measurements

Uncertainty in simulating regional gross primary productivity from satellite-based models over northern China grassland

2018 ◽  
Vol 88 ◽  
pp. 134-143 ◽  
Author(s):  
Wenxiao Jia ◽  
Min Liu ◽  
Duoduo Wang ◽  
Honglin He ◽  
Peili Shi ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Northern China ◽  
Gross Primary Productivity

scholarly journals Non-stomatal processes reduce gross primary productivity in temperate forest ecosystems during severe edaphic drought

2020 ◽  
Vol 375 (1810) ◽  
pp. 20190527 ◽  
Author(s):  
Louis Gourlez de la Motte ◽  
Quentin Beauclaire ◽  
Bernard Heinesch ◽  
Mathias Cuntz ◽  
Lenka Foltýnová ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Temperate Forest ◽  
Forest Ecosystems ◽  
Stomatal Closure ◽  
Gross Primary Productivity ◽  
Severe Drought ◽  
Continental Scale ◽  
European Forest ◽  
Ecosystem Flux ◽  
The Impact

Severe drought events are known to cause important reductions of gross primary productivity ( GPP ) in forest ecosystems. However, it is still unclear whether this reduction originates from stomatal closure (Stomatal Origin Limitation) and/or non-stomatal limitations (Non-SOL). In this study, we investigated the impact of edaphic drought in 2018 on GPP and its origin (SOL, NSOL) using a dataset of 10 European forest ecosystem flux towers. In all stations where GPP reductions were observed during the drought, these were largely explained by declines in the maximum apparent canopy scale carboxylation rate V CMAX,APP (NSOL) when the soil relative extractable water content dropped below around 0.4. Concurrently, we found that the stomatal slope parameter ( G 1 , related to SOL) of the Medlyn et al . unified optimization model linking vegetation conductance and GPP remained relatively constant. These results strengthen the increasing evidence that NSOL should be included in stomatal conductance/photosynthesis models to faithfully simulate both GPP and water fluxes in forest ecosystems during severe drought. This article is part of the theme issue ‘Impacts of the 2018 severe drought and heatwave in Europe: from site to continental scale’.

Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems

2015 ◽  
Vol 306 ◽  
pp. 57-66 ◽  
Author(s):  
Maurizio Bagnara ◽  
Matteo Sottocornola ◽  
Alessandro Cescatti ◽  
Stefano Minerbi ◽  
Leonardo Montagnani ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Forest Ecosystems ◽  
Gross Primary Productivity ◽  
Bayesian Optimization ◽  
Light Use Efficiency ◽  
Use Efficiency ◽  
Light Use Efficiency Model

Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere

2020 ◽  
Vol 280 ◽  
pp. 107771 ◽  
Author(s):  
Xinyao Xie ◽  
Ainong Li ◽  
Jianbo Tan ◽  
Huaan Jin ◽  
Xi Nan ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Northern Hemisphere ◽  
Satellite Data ◽  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Data Driven

scholarly journals Data for: Terrain units, land use/cover, and gross primary productivity of the largest fluvial basin in the Brazilian Amazonia/Cerrado ecotone: The Araguaia River Basin

Data in Brief ◽  
2021 ◽  
Vol 34 ◽  
pp. 106636
Author(s):  
Antonio Couto ◽  
Pedro Martins ◽  
Edson Sano ◽  
Eder Martins ◽  
Ludgero Vieira ◽  
...  
Keyword(s):  
Land Use ◽  
River Basin ◽  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Brazilian Amazonia ◽  
Araguaia River ◽  
Terrain Units

scholarly journals Gross primary productivity of Brazilian Savanna (Cerrado) estimated by different remote sensing-based models

2021 ◽  
Vol 307 ◽  
pp. 108456
Author(s):  
Marcelo Sacardi Biudes ◽  
George Louis Vourlitis ◽  
Maísa Caldas Souza Velasque ◽  
Nadja Gomes Machado ◽  
Victor Hugo de Morais Danelichen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Primary Productivity ◽  
Gross Primary Productivity ◽  
Brazilian Savanna

Divergent impacts of atmospheric water demand on gross primary productivity in three typical ecosystems in China

2021 ◽  
Vol 307 ◽  
pp. 108527
Author(s):  
Ning Chen ◽  
Changchun Song ◽  
Xiaofeng Xu ◽  
Xianwei Wang ◽  
Nan Cong ◽  
...  
Keyword(s):  
Primary Productivity ◽  
Water Demand ◽  
Gross Primary Productivity ◽  
Atmospheric Water

scholarly journals Extreme events driving year-to-year differences in gross primary productivity across the US

2020 ◽  
Author(s):  
Alexander Turner ◽  
Philipp Köhler ◽  
Troy Magney ◽  
Christian Frankenberg ◽  
Inez Fung ◽  
...  
Keyword(s):  
Extreme Events ◽  
Primary Productivity ◽  
Gross Primary Productivity ◽  
The Us
Sign in / Sign up

Export Citation Format

Share Document