Seasonal and vertical variations in phytoplankton photosynthetic parameters and primary production in Suruga Bay, Japan

Author(s):  
Takashi Yoshikawa ◽  
Rumi Sohrin ◽  
Yumiko Obayashi ◽  
Hiroyuki Matsuura ◽  
Jun Nishikawa ◽  
...  
Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 522 ◽  
Author(s):  
Qiang Liu ◽  
Fengri Li

Understanding the spatial and seasonal variations in leaf physiology is critical for accurately modeling the carbon uptake, physiological processes and growth of entire canopies and stands. For a 17-year-old Larix olgensis Henry plantation, vertical whorl-by-whorl sampling and analyses of seasonally repeated measurements of major photosynthetic parameters were conducted, and the correlations between photosynthetic parameters and environmental conditions, leaf morphological traits and spatial position within the crown were analyzed. According to the correlations, the photosynthetic parameters were standardized based on the environmental conditions to avoid the influence of the changing environment on the patterns of spatial and seasonal variations of photosynthetic parameters. The results showed that the standardized light-saturated net photosynthetic rate (SPmax), standardized dark respiration (SRd) and standardized stomatal conductance under saturated light (Sgs-sat) were all negatively related to the relative depth into the crown (RDINC) throughout the growing season. However, their vertical patterns were different during the development of the phenological phase. In addition, different gradients of environmental conditions also influenced the values and the range of the vertical variation in photosynthesis. High temperature and low humidity usually resulted in smaller values and weaker vertical variations of SPmax and Sgs-sat, but larger values and more obvious vertical variations in SRd. SPmax and Sgs-sat usually exhibited a parabolic seasonal pattern in different vertical positions within the crown; however, SRd generally followed a concave pattern. These seasonal patterns were all weaker with increasing RDINC. Different environments also exhibited a significant influence on the seasonal patterns of photosynthesis. We suggested that standardization is necessary before analyzing spatial and seasonal variations. A single environmental condition could not represent the spatial and seasonal patterns under all gradients of the environment. Spatial and seasonal variations should be simultaneously analyzed because they are related to each other.


1973 ◽  
Vol 30 (10) ◽  
pp. 1469-1473 ◽  
Author(s):  
Everett J. Fee

A new model for computing integral daily phytoplankton primary production is described. The model incorporates vertical variations of algal biomass, complex photosynthesis vs. light responses, nonexponential extinction of light vs. depth, and any distribution of surface light over a day. The basic approach is to combine measured relations for photosynthetic rate vs. light, light vs. depth, and light vs. time in an interpolative scheme rather than attempting to fit equations to the data and using the resulting equations to obtain a mathematical solution. The model is general and should have wide applicability. Model predictions agreed well with in situ measurements of production.


2004 ◽  
Vol 51 (6-9) ◽  
pp. 799-816 ◽  
Author(s):  
Elsa Aguirre-Hernández ◽  
Gilberto Gaxiola-Castro ◽  
Sila Nájera-Martínez ◽  
Timothy Baumgartner ◽  
Mati Kahru ◽  
...  

2021 ◽  
Vol 13 (4) ◽  
pp. 806
Author(s):  
Liming He ◽  
Rong Wang ◽  
Georgy Mostovoy ◽  
Jane Liu ◽  
Jing M. Chen ◽  
...  

We evaluate the potential of using a process-based ecosystem model (BEPS) for crop biomass mapping at 20 m resolution over the research site in Manitoba, western Canada driven by spatially explicit leaf area index (LAI) retrieved from Sentinel-2 spectral reflectance throughout the entire growing season. We find that overall, the BEPS-simulated crop gross primary production (GPP), net primary production (NPP), and LAI time-series can explain 82%, 83%, and 85%, respectively, of the variation in the above-ground biomass (AGB) for six selected annual crops, while an application of individual crop LAI explains only 50% of the variation in AGB. The linear relationships between the AGB and these three indicators (GPP, NPP and LAI time-series) are rather high for the six crops, while the slopes of the regression models vary for individual crop type, indicating the need for calibration of key photosynthetic parameters and carbon allocation coefficients. This study demonstrates that accumulated GPP and NPP derived from an ecosystem model, driven by Sentinel-2 LAI data and abiotic data, can be effectively used for crop AGB mapping; the temporal information from LAI is also effective in AGB mapping for some crop types.


2020 ◽  
Author(s):  
Silvia Becagli ◽  
Rita Traversi ◽  

<p>The Biogenic Aerosol and Primary Production in the Ross Sea – BioAPRoS project, funded by funded by the Ministry for the Education, University and Scientific Research (MIUR) through the National Antarctic Research Programme (PNRA) aims to improve the understanding of the ocean-atmosphere interactions with particular attention to the interconnections between oceanic primary production and atmospheric gaseous and particulate compounds. These processes have a strong climatic relevance due to the aerosol interaction with solar radiation, its possible interaction with cloud formation and properties, in a region where other aerosol sources are very limited. To achieve the objectives of the project, measurements and sampling in the atmosphere (dimethylsulfide, in the gas phase, and methanesulfonic acid, sugars, amino acids and methoxyphenols in the aerosols) and in sea water (nutrients, chlorophyll, phytoplankton composition and physiological state, DMSP as a precursor of atmospheric DMS) were carried out simultaneously for the first time at the Italian "Mario Zucchelli" Station (MZS; 74.7°S, 164.1°E).</p><p>We report here the data obtained in two Antarctic field campaigns carried out in summers of 2018-19 and 2019-20. The DMS atmospheric concentration was measured directly in situ by Gas Chromatography.  It showed concentrations up to 921 pptv (the highest value obtained in both campaigns); the timing of maximum concentration was strongly related to the timing of sea ice melting in the surrounding oceanic areas. Within the project, the low-cost ACHAB (Antartic low-Cost Hydro Arduino Bio-optic profiler) probe has been developed for the acquisition of physical and bio-optical data along the water column, during the 2019-20 campaign. Furthermore, the Phyto-VFP (Phytoplankton Variable Fluorescence Production) bio-optical model was refined to be applied to the Southern Ocean for the estimation of primary production in Terranova Bay and Ross Sea at micro and mesoscale resolutions, respectively. Phyto-VFP was specifically set-up using as input chl a satellite data (merged products based on MODIS-A, MERIS, SeaWIFS, VIIRS-N for low resolution images and Sentinel-2 for high resolution ones) as well as the photosynthetic parameters obtained from a series of laboratory experiments conducted on polar species, enabling to take into account the effect of a nutrient limitation on their photosynthetic performance.</p><p>The evolution of concentration of the atmospheric compounds arising from phytoplankton activity was investigated with respect to oceanic parameters (chlorophyll and primary productivity, in turn related to the phytoplankton taxonomic composition and physiological state), to the variations of solar and photosynthetically active radiation, and to the dynamics of sea ice in the Ross Sea.</p><p>Understanding and quantifying the correlation between atmospheric compounds and oceanic primary productivity (affecting the oceanic and atmospheric CO<sub>2</sub> budget) has a relevant importance in studies on global change because this interaction is influenced by, and in its turn influences, climatic variations.</p>


1983 ◽  
Vol 28 (4) ◽  
pp. 698-708 ◽  
Author(s):  
Charles L. Gallegos ◽  
Trevor Platt ◽  
W. G. Harrison ◽  
Brian Irwin

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