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10 results for “photosynthesis rates”
Rubisco limited photosynthesis rates of Red mangrove leaves at Key Largo, Watson River Chickee, Taylor Slough, and Little Rabbit Key, South Florida (FCE) from July 2001 to August 2001
Determine the Rubisco limited carboxylation rates of red mangrove ( species Rhizophora mangle) leaves. This information will be used to model carbon sequestration by Red mangroves.
Benthic chlorophyll concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from January, April, June and July 2001
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll and gross oxygenic photosynthesis were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll were measured in the bulk surface centimeter depth of sediment. Gross oxygenic photosynthesis rates were integrated over 100 um resolution measurements below the sediment water interface using oxygen microelectrodes. Several relatively pristine sites on Sapelo Island (Moses Hammock, Dean Creek and Marine Institute) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration and photosynthesis rate across bank and marsh zones with higher photosynthetic biomass and activity in the spring season. Nutrient inputs to these study sites are also suggested as a control on gross oxygenic photosynthesis rates as evidenced by a relationship between photosynthesis rate and land-use.
Benthic chlorophyll concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from June and August 2002
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll and gross oxygenic photosynthesis were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll were measured in the bulk surface centimeter depth of sediment. Gross oxygenic photosynthesis rates were integrated over 100 um resolution measurements below the sediment water interface using oxygen microelectrodes. Several relatively pristine sites on Sapelo Island (Moses Hammock, Dean Creek and Marine Institute) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration and photosynthesis rate across bank and marsh zones with higher photosynthetic biomass and activity in the spring season. Nutrient inputs to these study sites are also suggested as a control on gross oxygenic photosynthesis rates as evidenced by a relationship between photosynthesis rate and land-use.
Benthic chlorophyll, density, porosity, and organic content concentrations and gross oxygenic photosynthesis rates in surficial estuarine intertidal sediments at sites on Sapelo Island and near the Satilla River from January, April, June and July 2001
Seasonal patterns of estuarine creek-bank and intertidal marsh benthic chlorophyll, density, porosity, and organic content were investigated at several sites on Sapelo Island and the Satilla River in coastal Georgia. Benthic chlorophyll, density, porosity, and organic content were measured in the bulk surface centimeter depth of sediment. Several relatively pristine sites on Sapelo Island (Moses Hammock and Dean Creek) and a presumably heavily impacted site (Dover Bluff) show similar levels of chlorophyll concentration across bank and marsh zones with higher photosynthetic biomass in the spring season.
Dataset for "High photosynthesis rates in Brassiceae species are mediated by leaf anatomy enabling high biochemical capacity, rapid CO2 diffusion and efficient light use"
<p>Dataset used in the paper</p> <p>Retta MA, Van Doorselaer L, Driever SM, Yin X, de Ruijter NCA, Verboven P, Nicolaï BM, Struik PC. High photosynthesis rates in Brassiceae species are mediated by leaf anatomy enabling high biochemical capacity, rapid CO<sub>2</sub> diffusion and efficient light use. New Phytol. 2024 Sep 18. doi: 10.1111/nph.20136. PMID: 39294895.</p> <p>Please cite the paper presenting this datase.</p> <h1><strong>Plant Species and Inbred Lines:</strong></h1> <ul> <li><em>Hirschfeldia incana L. (7th generation inbred line 190003 HIN-NIJ-07-B) </em></li> <li><em>Brassica nigra L. (3rd generation inbred line 210093 BNI-DG1-03-B)</em></li> <li><em>Brassica rapa L. (inbred line ‘R-o-18’)</em></li> <li><em>Arabidopsis thaliana (accession Columbia)</em></li> </ul> <h1><strong>Growth Conditions:</strong></h1> <ul> <li><em>Media:</em> Rock-wool blocks (Grodan Plantop, Roermond, Netherlands, 10×10×7.5 cm)</li> <li><em>Fertigation:</em> Nitrogen-rich nutrient solution via automated dripping system.</li> <li><em>Light Conditions:</em> 12 h day/12 h night, light intensity of 200 µmol m-2 s-1 and 1800 µmol m-2 s-1</li> <li><em>Temperature:</em> Day/Night temperatures of 23 °C and 20 °C, respectively.</li> <li><em>Relative Humidity:</em> 70%</li> </ul> <h1><strong>Codes</strong></h1> <p><strong>Species:</strong></p> <ul> <li><em>Hirschfeldia incana L. - H. incana</em></li> <li><em>Brassica nigra L. - B. nigra</em></li> <li><em>Brassica rapa L. - B. rapa</em></li> <li><em>Arabidopsis thaliana - A. thaliana</em></li> </ul> <p><strong>Light conditions:</strong></p> <ul> <li><em>High light - HL</em></li> <li><em>Low light - LL</em></li> </ul> <p><strong>Replicates:</strong></p> <ul> <li><em>Biological replicates were labeled with numbers, e.g. replicate one from high light grown Hirschfeldia incana is referred to as HiHL1</em></li> </ul> <h1><strong>Measurements</strong></h1> <h2><strong>Leaf Gas Exchange and Chlorophyll Fluorescence Measurements (GasExchangeData.zip):</strong></h2> <ul> <li>Four leaves per species per treatment.</li> <li>Conducted using a LI-6800 (LI-COR, Lincoln, NE, USA) on the mid-position of the youngest fully expanded leaf.</li> <li>The resoponse of photosynthesis to irradiance and external CO2 concentrations augumneted with multi-phase flash fluorescence were made</li> </ul> <h2><strong>Optical Properties Measurement </strong>(<strong>Absorbance & chlorophyll.zip):</strong></h2> <ul> <li><em>Leaves:</em> Four leaves per species per treatment.</li> <li>Leaf transmittance and reflectance measured using a dual channel spectrophotometer (absorptance_reflac_data_355_750.xlsx)</li> <li>Chlorophyll content measured using a spectrophotometer (Chlorophyll.xlsx).</li> </ul> <h2><strong>Stomatal Density and Size Analysis </strong>(<strong>Stomata.zip):</strong></h2> <p><strong>Sampling:</strong></p> <ul> <li><em>Leaves:</em> Four leaves per species per treatment.</li> <li><em>Plants:</em> Samples taken from three different plants.</li> <li><em>Leaf-side:</em> abaxial and adxial leaf side.</li> </ul> <p><strong>Microscopy Setup:</strong></p> <ul> <li>Stomatal imprints made using clear nail polish, imaged using a light microscope at 20x.</li> </ul> <p><strong>Data Output:</strong></p> <ul> <li><em>Imaging Results:</em> .jpg files organised under folders for species e.g. AtHL\R1 T+B.zip contains images ofimprints of top (T) and bottom (B) leaf sides from replicate plant 1 (R1) of A. thaliana grown under high light (AtHL). The images are named as for example, AT_HL_BOTTOM_R1_A_stacked_minimum.jpg, The leters A to E label various imges made from one imprint.</li> </ul> <h2><strong>Light and Electron Microscopy of Leaf Sections (</strong><strong>CellwallChloroplast.zip):</strong></h2> <p><strong>Sampling:</strong></p> <ul> <li><em>Leaves:</em> Four leaves per species per treatment.</li> <li><em>Plants:</em> Samples taken from four different plants.</li> </ul> <p><strong>Sample preparation</strong></p> <ul> <li>Leaf samples fixed, dehydrated, embedded in Araldite, and sectioned for imaging.</li> <li>1 µm think sections were made for light microscopy</li> <li>Sections of 70 nm were double stained for TEM</li> </ul> <p><strong>Microscopy Setup:</strong></p> <ul> <li>Mesophyll cells imaged at 400x and 700x to measure chloroplast coverage.</li> <li>Electron microscopy performed with Zeiss EM900 electron microscope.</li> </ul> <h2><strong>Mesophyll Chlorophyll (ConfocalData.zip):</strong></h2> <p><strong>Sampling:</strong></p> <ul> <li><em>Leaves:</em> Three leaves per species per treatment.</li> <li><em>Plants:</em> Samples taken from three different plants.</li> <li><em>Thickness:</em> 200 ± 10 µm sections prepared using a sliding microtome</li> </ul> <p><strong>Microscopy Setup:</strong></p> <ul> <li><em>Microscope:</em> Leica DM8 inverted scope equipped with a Stellaris 5 confocal microscope (Leica Microsystems, Wetzlar, Germany).</li> <li><em>Excitation:</em> 490 nm excitation laser line</li> <li><em>Fluorescence Recording:</em> Chlorophyll autofluorescence recorded in a spectral range of 660−700 nm.</li> <li><em>Objective:</em> Leica objective ×10/0.4 NA.</li> <li><em>Z-Stacks:</em> 85–112 µm depth, two random positions per sample</li> </ul> <p><strong>Data Output:</strong></p> <ul> <li><em>Imaging Results:</em> Z-stacks of chlorophyll autofluorescence in mesophyll cells.</li> <li><em>Spectral Information:</em> Chlorophyll autofluorescence recorded in the 660−700 nm range.</li> </ul> <p><strong>Analysis:</strong></p> <ul> <li><em>Software:</em> The confocal files are in .lif format and can be viewed using Leica application suite (LASx), ImageJ</li> </ul>
C4 photosynthesis and the economic spectra of leaf and root traits independently influence growth rates in grasses
<p>Photosynthetic pathway is an important cause of growth rate variation between species, such that the enhanced carbon uptake of C<sub>4</sub> species leads to faster growth than their C<sub>3</sub> counterparts. Leaf traits that promote rapid resource acquisition may further enhance the growth capacity of C<sub>4</sub> species. However, how root economic traits interact with leaf traits, and the different growth strategies adopted by plants with C<sub>3</sub> and C<sub>4</sub> photosynthetic pathways is unclear. Plant economic traits could interact with, or act independently of, photosynthetic pathway in influencing growth rate, or C<sub>3</sub> and C<sub>4</sub> species could segregate out along a common growth rate-trait relationship.</p> <p>We measured leaf and root traits on 100+ grass species grown from seeds in a controlled, common environment to compare with relative growth rates (RGR) during the initial phase of rapid growth, controlling for phylogeny and allometric effects.</p> <p>Photosynthetic pathway acts independently to leaf and root functional traits in causing fast growth. Using C<sub>4</sub> photosynthesis, plants can achieve faster growth than their C<sub>3</sub> counterparts (by an average 0.04 g g<sup>-1</sup> day<sup>-1</sup>) for a given suite of functional trait values, with lower investments of leaf and root nitrogen. Leaf and root traits had an additive effect on RGR, with plants achieving fast growth by possessing resource-acquisitive leaf traits (high specific leaf area and low leaf dry matter content) or root traits (high specific root length and area, and low root diameter), but having both leads to an even faster growth rate (by up to 0.06 g g-1 day-1). C<sub>4</sub> photosynthesis can provide a greater relative increase in RGR for plants with a 'slow' ecological strategy than in those with fast growth. However, aboveground and belowground strategies are not coordinated, so that species can have any combination of 'slow' or 'fast' leaf and root traits.</p> <p>Synthesis: C<sub>4</sub> photosynthesis increases growth rate for a given combination of economic traits, and significantly alters plant nitrogen economy in the leaves and roots. However, leaf and root economic traits act independently to further enhance growth. The fast growth of C<sub>4</sub> grasses promotes a competitive advantage under hot, sunny conditions.</p>
Data from: Competitive response of savanna tree seedlings to C4 grasses is negatively related to photosynthesis rate
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C4 photosynthesis and the economic spectra of leaf and root traits independently influence growth rates in grasses
Open the record for dataset details and reuse information.
Leaf Photosynthesis Rates (FIFE)
The objective of the Leaf Photosynthesis study was to measure the response of leaf photosynthesis and stomatal conductance to light, temperature, vapor pressure deficit, carbon dioxide and water potential for the most abundant C4 species at the FIFE study area. To this end, photosynthesis measurements were made on 6 days in June, July and August of 1987 at three different locations in the northwest quadrant of the FIFE study area. Leaf photosynthetic rate is measured by enclosing a leaf in a closed, transparent chamber and measuring the decrease in carbon dioxide concentration as a function of time. Light flux density is measured outside of the chamber and must be corrected for the chamber transmittance, which is 0.9. These data can be fit to various models of leaf photosynthesis and stomatal conductance by providing the responses to light, temperature leaf water potential, and carbon dioxide under field conditions on intact plants.
Canopy Photosynthesis Rates (FIFE)
The Canopy Photosynthesis Data Set data were collected from five sites within the FIFE study area during July 1, 1987 through October 12, 1987. The objectives of the study were to estimate canopy photosynthetic rates, respiration rates, and bulk stomatal resistance. Photosynthesis was measured by monitoring the net exchange of CO2 from the canopy to the atmosphere while the canopy is enclosed in a Plexiglas chamber equipped with a LI-COR CO2 gas analyzer. The rate of CO2 concentration change over intervals of 10 - 20 seconds is measured. This CO2 concentration rate of change is used along with other factors (e.g., the amount of canopy area enclosed, the volume of the enclosure, and temperature) to estimate the net photosynthesis rate. The stomatal resistance and conductance is calculated from the total leaf resistance (i.e., calculated via the transpiration rate along with the leaf and air temperatures) minus the boundary layer resistance. Stomatal resistance of selected species of the grass used to estimate the total canopy resistance were measured independently using a leaf diffusion porometer. The results showed that estimated values of net CO2 flux varied between about 0.25 and 1.0 [mg][m^-2][sec^-1] during IFC-2 and IFC-3, and around zero during IFC-4. Resistances ranged from 80 [sec][m^-1] to 300 [sec] [m^-1] during IFC-2 and IFC-3, rising to very high values (greater than 1000 [sec][m^-1]) during IFC-4.
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