Utilization of fluorescence images in chlorophyll in Cirebon waters, Indonesia

Satellite is one of the tools used to detect chlorophyll concentration. MODIS chlorophyll concentrations appears to be disturbed by colored dissolved organic matter (CDOM). The fluorescence approach can represent the chlorophyll concentration near the coast more accurately. The data for this study was obtained from satellite Aqua MODIS Level 2 which consisted of MODIS chlorophyll, MODIS fluorescence data, and Observation data. The data was taken on 6 September 2020 in Cirebon Waters. Results of the chlorophyll concentration field data ranged from 0.64 mg m-³ - 4.26 mg m-³. Estimation of chlorophyll concentrations using the standard chlorophyll method ranged from 2.55 mg m-³ - 7.20 mg m-³ and the chlorophyll concentrations using the fluorescence method were 2.58 mg m-³ - 3.5 mg m-³. Comparison of field data with satellite images is better with the florescence method than the standard MODIS chlorophyll technique, with an error of 47.8% for fluorescence and 235.5% for the standard MODIS chlorophyll.

Its What’s on the Inside That Counts: An Effective, Efficient, and Streamlined Method for Quantification of Octocoral Symbiodiniaceae and Chlorophyll

Ocean warming driven bleaching is one of the greatest threats to zooxanthellate cnidarians in the Anthropocene. Bleaching is the loss of Symbiodiniaceae, chlorophyll, or both from zooxanthellate animals. To quantify bleaching and recovery, standardised methods for quantification of Symbiodiniaceae and chlorophyll concentrations have been developed for reef-building scleractinian corals, but no such standard method has been developed for octocorals. For stony corals, quantification of Symbiodiniaceae and chlorophyll concentrations often relies on normalisation to skeletal surface area or unit of biomass [i.e., protein, ash-free dry weight (AFDW)]. Stiff octocorals do not change their volume, as such studies have used volume and surface area to standardise densities, but soft-bodied octocorals can alter their size using water movement within the animal; therefore, Symbiodiniaceae and chlorophyll cannot accurately be measured per unit of surface area and are instead measured in units of Symbiodiniaceae and chlorophyll per μg of host protein or AFDW. Though AFDW is more representative of the full biomass composition than host protein, AFDW is more time and resource intensive. Here, we provide a streamlined methodology to quantify Symbiodiniaceae density, chlorophyll concentration, and protein content in soft-bodied octocorals. This technique uses minimal equipment, does not require freeze-drying or burning samples to obtain ash weight, and is effective for down to 0.2 g wet tissue. Bulk samples can be centrifuged, the Symbiodiniaceae pellet washed, and the supernatant saved for protein analysis. This efficient technique allows for clean, easy to count samples of Symbiodiniaceae with minimal animal protein contamination. Chlorophyll a and c2 extractions occurs at different rates, with chlorophyll a taking 24 h to extract completely at 4°C and chlorophyll c2 taking 48 h. Finally, we found that where necessary, wet weight may be used as a proxy for protein content, but the correlation of protein and wet weight varies by species and protein should be used when possible. Overall, we have created a rapid and accurate method for quantification of bleaching markers in octocorals.

Spatial and temporal variability of solar penetration depths in the Bay of Bengal and its impact on sea surface temperature (SST) during the summer monsoon

Chlorophyll has long been known to influence air–sea gas exchange and CO2 drawdown. But chlorophyll also influences regional climate through its effect on solar radiation absorption and thus sea surface temperature (SST). In the Bay of Bengal, the effect of chlorophyll on SST has been demonstrated to have a significant impact on the Indian summer (southwest) monsoon. However, little is known about the drivers and impacts of chlorophyll variability in the Bay of Bengal during the southwest monsoon. Here we use observations of downwelling irradiance measured by an ocean glider and three profiling floats to determine the spatial and temporal variability of solar absorption across the southern Bay of Bengal during the 2016 summer monsoon. A two-band exponential solar absorption scheme is fitted to vertical profiles of photosynthetically active radiation to determine the effective scale depth of blue light. Scale depths of blue light are found to vary from 12 m during the highest (0.3–0.5 mg m−3) mixed-layer chlorophyll concentrations to over 25 m when the mixed-layer chlorophyll concentrations are below 0.1 mg m−3. The Southwest Monsoon Current and coastal regions of the Bay of Bengal are observed to have higher mixed-layer chlorophyll concentrations and shallower solar penetration depths than other regions of the southern Bay of Bengal. Substantial sub-daily variability in solar radiation absorption is observed, which highlights the importance of near-surface ocean processes in modulating mixed-layer chlorophyll. Simulations using a one-dimensional K-profile parameterization ocean mixed-layer model with observed surface forcing from July 2016 show that a 0.3 mg m−3 increase in chlorophyll concentration increases sea surface temperature by 0.35 ∘C in 1 month, with SST differences growing rapidly during calm and sunny conditions. This has the potential to influence monsoon rainfall around the Bay of Bengal and its intraseasonal variability.

Mixed layer depth dominates over upwelling in regulating the seasonality of ecosystem functioning in the Peruvian Upwelling System

The Peruvian Upwelling System hosts an extremely high productive marine ecosystem. Observations show that the Peruvian Upwelling System is the only Eastern Boundary Upwelling Systems (EBUS) with an out-of-phase relationship of seasonal surface chlorophyll concentrations and upwelling intensity. This "seasonal paradox" triggers the questions: (1) what is the uniqueness of the Peruvian Upwelling System compared with other EBUS that leads to the out of phase relationship; (2) how does this uniqueness lead to low phytoplankton biomass in austral winter despite strong upwelling and ample nutrients? Using observational climatologies for four EBUS we diagnose that the Peruvian Upwelling System is unique in that intense upwelling coincides with deep mixed layers. We then apply a coupled regional ocean circulation-biogeochemical model (CROCO-BioEBUS) to assess how the interplay between mixed layer and upwelling is regulating the seasonality of surface chlorophyll in the Peruvian Upwelling System. The model recreates the "seasonal paradox" within 200 km off the Peruvian coast. We confirm previous findings that deep mixed layers, which cause vertical dilution and stronger light limitation, mostly drive the diametrical seasonality of chlorophyll relative to upwelling. In contrast to previous studies, reduced phytoplankton growth due to enhanced upwelling of cold waters and lateral advection are second-order drivers of low surface chlorophyll concentrations. This impact of deep mixed layers and upwelling propagates up the ecosystem, from primary production to export efficiency. Our findings emphasize the crucial role of the interplay of the mixed layer and upwelling and suggest that surface chlorophyll may increase along with a weakened seasonal paradox in response to shoaling mixed layers under climate change.

Importance of Human-Induced Nitrogen Flux Increases for Simulated Arctic Warming

Human activities such as fossil fuel combustion, land-use change, nitrogen (N) fertilizer use, emission of livestock, and waste excretion accelerate the transformation of reactive N and its impact on the marine environment. This study elucidates that anthropogenic N fluxes (ANFs) from atmospheric and river deposition exacerbate Arctic warming and sea ice loss via physical–biological feedback. The impact of physical–biological feedback is quantified through a suite of experiments using a coupled climate–ocean–biogeochemical model (GFDL-CM2.1-TOPAZ) by prescribing the preindustrial and contemporary amounts of riverine and atmospheric N fluxes into the Arctic Ocean. The experiment forced by ANFs represents the increase in ocean N inventory and chlorophyll concentrations in present and projected future Arctic Ocean relative to the experiment forced by preindustrial N flux inputs. The enhanced chlorophyll concentrations by ANFs reinforce shortwave attenuation in the upper ocean, generating additional warming in the Arctic Ocean. The strongest responses are simulated in the Eurasian shelf seas (Kara, Barents, and Laptev Seas; 65°–90°N, 20°–160°E) due to increased N fluxes, where the annual mean surface temperature increase by 12% and the annual mean sea ice concentration decrease by 17% relative to the future projection, forced by preindustrial N inputs.

The effects of elevated CO2 and canopy position on chlorophyll concentration in mature Quercus robur.

<p>The timings of phenological events play an important role in determining the annual carbon uptake in key terrestrial carbon sinks, such as mature forests. With increases in atmospheric CO<sub>2</sub> expected to change physiological processes in plants, it is becoming increasingly important to monitor the changes in plant traits and subsequent phenological changes that may occur. Changes in photosynthetic pigments, such as chlorophyll, can be used as a proxy for physiological changes in leaves and can therefore be useful to monitor potential phenological change, such as autumnal leaf senescence. Non-destructive techniques allow for measurements of photosynthetic pigments without destructive sampling that would disturb the canopy. These methods are particularly useful in logistically difficult environments, such as high forest, or remote environments where traditional chlorophyll extractions are problematic and serve as ground-truthing for remote sensing of greenness. In the present study, we aimed to assess the effects of elevated CO<sub>2</sub> (150 mmol mol<sup>-1</sup> above ambient) and canopy position on chlorophyll concentrations of a common canopy-dominant species to identify potential implications on phenology. The study was conducted in a mature temperate forest situated at a Free Air Carbon Enrichment (FACE) experiment in the UK. Over 5,000 in-situ chlorophyll measurements were collected, across the 3<sup>rd</sup> and 4<sup>th</sup> season of CO<sub>2</sub> fumigation, in the canopy-dominant species <em>Quercus robur</em> (<em>Q. robur</em>). Additionally, 100 leaves were destructively sampled to verify chlorophyll concentrations using traditional chlorophyll extraction techniques. The established relationship between chlorophyll absorptance readings and leaf chlorophyll content allowed robust species-specific calibration equations to be calculated. Consistent with previous work, this study observed significantly higher chlorophyll concentrations at lower positions in the canopy in both sampling years (P < 0.001). Additionally, a reduction in foliar chlorophyll concentrations (-2 to -9%) when exposed to eCO<sub>2 </sub>in both sampling years was observed, but this was only significant for the upper canopy (-7 to -9%, P < 0.05). This study found a marginally significant effect of CO<sub>2</sub> treatment on reducing the effective season length, with larger eCO<sub>2</sub>-induced reductions in chlorophyll occurred through autumn. Overall, the research highlights a simple non-invasive method for monitoring changes in leaf traits of mature trees under eCO<sub>2</sub>. The results suggest that leaves may be able to reallocate their resources away from light-harvesting apparatus in response to eCO<sub>2</sub>, particularly in the upper canopy. Furthermore, the findings suggest direct consequences of rising atmospheric CO<sub>2</sub> to potential alterations of phenological events, such as leaf senescence, that may have implications for forest productivity and adaptation in a future high CO<sub>2</sub> world. Additionally, the research has shown the need to monitor potential changes in resource allocation to photosynthetic apparatus across the season as atmospheric CO<sub>2</sub> continues to rise. The information obtained in this study can be used to increase accuracy in the modelling of climate-carbon scenarios.</p>