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22 results for “phytoplankton ecology”
Interagency Ecological Program: Integrated Dataset of Phytoplankton Enumeration Data in the San Francisco Estuary, 1992-2024
Phytoplankton community composition is an important driver of zooplankton productivity and food supply for higher trophic levels in the San Francisco Estuary. Various monitoring surveys throughout the region collect phytoplankton enumeration data dating back to the 1990s. These include surveys from the CA Department of Water Resources (CADWR), CA Department of Fish and Wildlife (CDFW), the US Bureau of Reclamation (USBR), and the US Geological Survey (USGS). These surveys collect data via various sampling and laboratory methods which are not always directly comparable. This integrated dataset includes both enumeration counts and well-documented metadata to allow for informed decision-making in the integration of these data. It also standardizes taxonomic names between groups via a key list. Note that, in this dataset, we make conservative decisions about taxonomic resolution to ensure maximum compatibility between groups. For more detailed metadata and higher taxonomic resolution, refer to individual surveys’ publications or reach out to their primary contact.
Data from: Padfield et al. (2016) Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton. Ecology letters.
<p>This repository provides the data from the TPC and logistic growth curves from the paper:</p> <p>Padfield, D., Yvon‐Durocher, G., Buckling, A., Jennings, S., & Yvon‐Durocher, G. (2016). Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton. Ecology letters, 19(2), 133-142.</p> <p>metadata.pdf gives a more detailed explanation of the data.</p>
Interagency Ecological Program: Discrete water quality and phytoplankton data from the Sacramento River floodplain and Yolo Bypass tidal slough, collected by the Yolo Bypass Fish Monitoring Program, 1998 - 2022
The Yolo Bypass Fish Monitoring Program (YBFMP) operates a rotary screw trap and fyke trap and conducts biweekly beach seine and lower trophic surveys in addition to maintaining water quality instrumentation in the bypass. The YBFMP serves to fill information gaps regarding environmental conditions in the bypass that trigger migrations and enhanced survival and growth of native fishes, as well as provide data for IEP synthesis efforts. YBFMP staff also conduct analyses of YBFMP monitoring data to address pertinent management related questions as identified by IEP. The Yolo Bypass has been identified as a high restoration priority by the National Marine Fisheries Service and US Fish and Wildlife Service Biological Opinions for Delta Smelt, Winter and Spring-run Chinook salmon and by California EcoRestore. The YBFMP informs the restoration actions that are mandated or recommended in these plans and provides critical baseline data on the ecology of the bypass and how it interacts with the broader San Francisco Estuary. Program objectives include: Collecting baseline data on water quality, chlorophyll, lower trophic level biota, and fish in the Yolo Bypass to monitor spatial and temporal changes in trends and abundance; Analyzing and communicating Yolo Bypass data with stakeholders and the scientific and management communities to address pertinent management related questions; Providing technical expertise on Yolo Bypass aquatic ecology and monitoring and sampling methods. We collect discrete water quality data using a YSI ProDSS and sample phytoplankton, chlorophyll and nutrients as discrete water grabs taken biweekly (or weekly during Yolo Bypass inundation) along with lower trophic tows. Water is sampled at three sites along the Yolo Bypass and Sacramento River, then processed and analyzed by an internal DWR laboratory.
Interagency Ecological Program: Monitoring of water quality, phytoplankton, zooplankton, clams, and Delta Smelt to support the Summer-Fall Suisun Marsh Salinity Control Gates Action 2018-2024
The Suisun Marsh Salinity Control Gates (SMSCG) have the potential to increase low-salinity-zone habitat for endangered Delta Smelt (Hypomesus transpacificus, California Endangered Species Act listed as Endangered, Federal Endangered Species Act listed as Threatened), and to allow them to more frequently occupy Suisun Marsh, especially Montezuma Slough, one of their most important rearing habitats. Operation of the SMSCG in summer and fall to improve Delta Smelt habitat are called for in the Biological Opinion and Incidental Take permit for the Central Valley Project and State Water Project. To support the adaptive management of the action, the California Department of Water Resources and collaborating agencies monitored water quality, phytoplankton, zooplankton, clams, and fishes during the SMSCG management actions in 2018. Monitoring has continued during the summer and fall months of all subsequent years, including both those with and without actions. This data package includes data collected by the Interagency Ecological Program’s (IEP) long-term monitoring programs supplemented with targeted sample collection where existing surveys lacked spatial or temporal coverage. Monitoring during no-action years will be used as a baseline for comparison during action years. This data package will be updated annually.
Interagency Ecological Program: Phytoplankton monitoring in the Sacramento-San Joaquin Bay-Delta, collected by the Environmental Monitoring Program, 2008-2024
The State Water Resources Control Board (SWRCB) sets water quality objectives to protect beneficial uses of water in the Sacramento-San Joaquin Delta and Suisun Bay. These objectives are met by establishing standards mandated in water right permits issued to the Department of Water Resources and U.S. Bureau of Reclamation by the SWRCB. The standards include minimum Delta outflows, limits to Delta water export by the State Water Project (SWP) and the Central Valley Project (CVP), and maximum allowable salinity levels. In 1971, the State Water Resources Control Board (SWRCB) established Water Right Decision 1379 (D-1379). This Decision contained new water quality requirements for the San Francisco Bay-Delta Estuary. D-1379 was also the first water right decision to provide terms and conditions for a comprehensive monitoring program to routinely determine water quality conditions and changes in environmental conditions within the estuary. The monitoring program described in D-1379 was developed by the Stanford Research Institute through a contract with the SWRCB. Implementation of the monitoring program began in 1972, as SWRCB, DWR, and USBR met to define their individual responsibilities for various elements of the monitoring program. In 1978, amendments to water quality standards were implemented and resulted in Water Right Decision 1485 (D-1485). More recently these standards were again amended under the 1995 Water Quality Control Plan and Water Right Decision 1641 (D-1641) established in 1999. The SWP and CVP are currently operated to comply with the monitoring and reporting requirements described in D-1641. D-1641 requires DWR and USBR to conduct a comprehensive environmental monitoring program to determine compliance with the water quality standards and also to submit an annual report to SWRCB discussing data collected. The phytoplankton monitoring program is one element of DWR’s and USBR’s Environmental Monitoring Program (EMP) conducted under the Interagency Ec
Fig. 9 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 9: A) A projection of the variables onto the factor plane, where the x-axis is PC1 and the y-axis is PC2, and B) a projection of the cases onto the factor plane, where the x-axis is PC1 and the y-axis is PC2. MAW is Modified Atlantic Water; AMI is the Atlantic Mediterranean Interface; LIW is Levantine Intermediate Water.
Fig. 6 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 6: Pictures of F. japonica with A) and B) discharged mucous threads and the rod-shaped posterior mucocysts (indicated by the arrows) clearly visible, and C) a vegetative raspberry-like cell (top right) and two pre-cysts (indicated by the arrows). Cell diameter was generally 15-30 μm.
Fig. 5 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 5: A) Total chlorophyll a concentration (chlorophyll a + divinyl-chlorophyll a, mg m-3) and B) Fibrocapsa japonica cell number map (x 103 cells l-1) overlapped to the isohalines (bold lines) as in Fig. 4.
Fig. 8 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 8: A) Bacillariophyceae, and B) Prymnesiophyceae cell number map (x 103 cells l-1) overlapped to isohalines (bold lines) as in Fig. 4.
Fig. 4 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 4: Seawater inorganic nitrogen concentration (nitrates + nitrites, μM) overlapped to the 37.0 and 37.5-isohaline (bold lines).
Fig. 3 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 3: SeaWiFS map of surface chlorophyll a distribution in the Western Mediterranean Sea at the time of sampling: the circle encloses the cyclonic eddy. Data are integrated on 8 days (8th-15th October 2006), web source: http://reason.gsfc.nasa.gov/Giovanni.
Fig. 1 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 1: Map showing the sampling locations in the Western Mediterranean Sea. Full symbols indicate the stations extensively analysed in the present study: M15-M19 and A1-A6. The window on top shows typical patterns of circulation of Modified Atlantic Water (MAW) in the Western Mediterranean Sea: continuous lines indicate steady paths and dashed lines outline the mesoscale currents throughout the year (modified from Millot, 1999).
Data and scripts for Predictable Ecological Response to Rising CO2 of a Community of Marine Phytoplankton
<p>Rising atmospheric CO<sub>2</sub> and ocean acidification are fundamentally altering conditions for life of all marine organisms, including phytoplankton. Differences in CO<sub>2</sub> related physiology between major phytoplankton taxa lead to differences in their ability to take up and utilise CO<sub>2</sub>. These differences may cause predictable shifts in the composition of marine phytoplankton communities in response to rising atmospheric CO<sub>2</sub>. We report an experiment in which 7 species of marine phytoplankton, belonging to 4 major taxonomic groups (cyanobacteria, chlorophytes, diatoms and coccolithophores) were grown at both ambient (500 µatm) and future (1000 µatm) CO<sub>2</sub> levels. These phytoplankton were grown as individual species, as cultures of pairs of species and as a community assemblage of all seven species in two culture regimes (high-nitrogen batch cultures and lower-nitrogen semi-continuous cultures, though not under nitrogen limitation). All phytoplankton species tested in this study increased their growth rates under elevated CO<sub>2</sub> independent of the culture regime. We also find that, despite species-specific variation in growth response to high CO<sub>2</sub>, the identity of major taxonomic groups provides a good prediction of changes in population growth and competitive ability under high CO<sub>2</sub>. The CO<sub>2</sub>-induced growth response is a good predictor of CO<sub>2</sub>-induced changes in competition (R<sup>2</sup>>0.93) and community composition (R<sup>2</sup>>0.73). This study suggests that it may be possible to infer how marine phytoplankton communities respond to rising CO<sub>2</sub> levels from the knowledge of the physiology of major taxonomic groups, but that these predictions may require further characterisation of these traits across a diversity of growth conditions. These findings must be validated in the context of limitation by other nutrients. Also, in natural communities of phytoplankton, numerous other factors that may all respond to changes in CO2, including nitrogen fixation, grazing and variation in the limiting resource will likely complicate this prediction.</p>
Ecology and evolution of competitive trait variation in natural phytoplankton communities under selection
<p>Competition for limiting resources is a major force structuring ecological communities. Species minimum resource requirements (<em>R*</em>s) can predict competitive outcomes and evolve under selection in simple communities under controlled conditions. However, whether <em>R*</em>s predict competitive outcomes or demonstrate adaptive evolution in naturally complex communities is unknown. We subjected natural phytoplankton communities to three types of resource limitation (nitrogen, phosphorus, light) in outdoor mesocosms over ten weeks. We examined the community composition weekly and isolated 21 phytoplankton strains from seven species to quantify responses to selection of R* for these resources. We investigated evolutionary change in R*s in the dominant species, <em>Desmodesmus armatus</em>. <em>R*</em>s were good predictors of species changes in relative abundance, though this was largely driven by the success of <em>D. armatus </em>across several treatments. This species also demonstrated evolutionary change in <em>R*</em>s under resource limitation, supporting the potential for adaptive trait change to modify competitive outcomes in natural communities.</p>
Supporting data for: Physical controls and ecological implications of the timing of the spring phytoplankton bloom on the Newfoundland and Labrador shelf
<p>The Newfoundland and Labrador (NL) shelf and the Grand Banks of Newfoundland have been known as iconic fishing areas for centuries. In such areas with seasonal sea ice coverage, the timing of the spring bloom has been linked to sea ice melting, which stratifies the water column and promotes favorable conditions for phytoplankton to grow and accumulate. With sea ice gradually disappearing, we revisited the physical drivers controlling the initiation of the spring bloom in the region. We found that the timing of the phytoplankton bloom on the Grand Banks corresponds to the timing of ocean re-stratification following winter mixing. We also found that large-scale climate indicators are good proxies for the timing of the bloom and the abundance of<em> Calanus finmarchicus</em>, a key zooplankton species for the ecosystem. By revealing links between physical and biological processes, this work paves the way for an improved ecosystem approach to fisheries management.</p>
Data from: Antibiotics disrupt bacteria-phytoplankton symbioses: Unveiling ecological risks in aquatic ecosystems
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Ecology and evolution of competitive trait variation in natural phytoplankton communities under selection
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Supporting data for: Physical controls and ecological implications of the timing of the spring phytoplankton bloom on the Newfoundland and Labrador shelf
Open the record for dataset details and reuse information.
Fig. 7 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 7: A) Dinophyceae, and B) "other plankton" (Cryptophyceae, Chrysophyceae, Haptophyta excluding coccolithophores, Prasinophyceae, <10 mm flagellates and incertae sedis cells) cell number map (x 103 cells l-1) overlapped to isohalines (bold lines) as in Fig. 4.
Fig. 2 in Fibrocapsa japonica (Raphidophyceae) occurrence and ecological features within the phytoplankton assemblage of a cyclonic eddy, offshore the Eastern Alboran Sea
Fig. 2: Seawater A) salinity and B) temperature along the 2 transects. Bold lines denote the A) 37.0 and 37.5 isohaline and the B) 15 °C and 20 °C isotherms, respectively.
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OpenNeuro
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