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14 results for “coastal eutrophication”
Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons
<p>We present here the raw data and scripts to reproduce the results presented in the preprint "Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons" available on BioRxiv. Before using the scripts and associated data, we recommend reading the "readme" word document also available, which details the information available in the different data sheets. </p> <p>Preprint abstract : </p> <p>Coastal lagoons are transitional ecosystems that host a unique diversity of species and support many ecosystem services. Owing to their position at the interface between land and sea, they are also subject to increasing human impacts, which alter their ecological functioning. Because coastal lagoons are naturally highly variable in their environmental conditions, disentangling the effects of anthropogenic disturbances like eutrophication from those of natural variability is a challenging, yet necessary issue to address. Here, we analyze a dataset composed of macrobenthic invertebrate abundances and environmental variables (hydro-morphology, water, sediment and macrophytes) gathered across 29 Mediterranean coastal lagoons located in France, to characterize the main drivers of community composition and structure. Using correlograms, linear models and variance partitioning, we found that lagoon hydro-morphology (connection to the sea and lagoon surface), which affects the level of environmental variability (salinity and temperature), as well as lagoon-scale benthic habitat diversity (using macrophyte morphotypes) seemed to regulate macrofauna distribution, while eutrophication and associated stressors like low dissolved oxygen, acted upon the existing communities, mainly by reducing species richness and diversity. Furthermore, M-AMBI, a multivariate index composed of species richness, Shannon diversity and AMBI (AZTI's Marine Biotic Index) and currently used to evaluate the ecological state of French coastal lagoons, was more sensitive to eutrophication (18%) than to natural variability (9%), with nonetheless 49% of its variability explained jointly by both. To improve the robustness of benthic indicators like M-AMBI and increase the effectiveness of lagoon benthic habitat management, we call for a revision of the ecological groups at the base of the AMBI index and of the current lagoon typology which could be inspired by the lagoon-sea connection levels used in this study. </p>
Eutrophication indicators in the Baltic Sea 1970-2100 and nutrient loads to three coastal systems. BALTSEM model simulations and observations.
<p>Dataset and model code accompanying manuscript: </p> <p>Ehrnsten, E. Humborg C., Gustafsson, E. and Gustafsson B. G. 2024. Disaster avoided: current state of the Baltic Sea without human intervention to reduce nutrient loads. Resubmitted to Limnology & Oceanography Letters 2024-09-13. </p> <p> </p> <p>This repository contains the following files:</p> <p> </p> <p>1_Data_description.pdf</p> <p>Description of data sets and details on model forcing and data collection methods.</p> <p> </p> <p>Eutrophication_indicators1970-2021_BALTSEM_and_observations.xlsx</p> <p>Eutrophication indicators in the Baltic Sea: BALTSEM model simulation output from real load and no reduction scenarios as well as observations 1970-2021.</p> <p> </p> <p>BALTSEM_output_future_1970-2100.xlsx</p> <p>BALTSEM model simulation output 1970-2021 with observed nutrient loads (Real loads scenario) and statistics of 100 model runs 2022-2100 with present (2021) nutrient loads. The 100 runs represent statistical variations in forcing and boundary conditions to account for uncertainty in future weather and sea level conditions.</p> <p> </p> <p>NPloads_BS_M_C.xlsx</p> <p>Nitrogen and phosphorus loads from the Baltic Sea, Mississippi and Changjiang catchments 1950-2021 collected from several published sources.</p> <p> </p> <p>baltsem9.5_carbon.tar.gz</p> <p>Copressed folder with model code for BALTSEM 9.5 as well as forcing data used in the simulations. Information on folder contents and a user guide to run the model simuations can be found in the file BALTSEMGettingStartedCarbon.pdf</p>
Declining bivalve species and functional diversity along a coastal eutrophication-deoxygenation gradient in the northern Gulf of Mexico
Open the record for dataset details and reuse information.
Data for: Thirty-one years of warming and oxygen decline in Massachusetts Bay, a well-flushed non-eutrophic temperate coastal waterbody
<p><strong>This dataset consists of the primary data used in manuscript ("Thirty-one years of warming and oxygen decline in Massachusetts Bay, a well-flushed non-eutrophic temperate coastal waterbody") submitted to Journal of Geophysical Research Oceans.</strong></p> <p><strong>Description of the data and file structure</strong></p> <p>The primary data are in the file T-S-DO_1992-2022-20230907.csv, in columnar format, and the metadata, including column information, are in file ColumnAndCodeDescriptions.txt.</p> <p><strong>Sharing/Access information</strong></p> <p>The primary data were generated by the Massachusetts Water Resources Authority (MWRA) and provided in response to a data request. They are public data, available on request from MWRA by contacting <a href="mailto:sally.carroll@mwra.com" target="_blank" rel="noopener">sally.carroll@mwra.com (opens in new window)</a> or <a href="mailto:douglas.hersh@mwra.com" target="_blank" rel="noopener">douglas.hersh@mwra.com (opens in new window)</a>. The methods of data collection are detailed in the Quality Assurance Project Plan: </p> <p>Libby, P. S., Fitzpatrick, M. R., Willenberg, Z. J., Abramson Pala, S. L., Borkman, D. G., & Turner, J. T. (2024). Quality assurance project plan (QAPP) for water column monitoring 2024-2026: Tasks 4-8 and 11. Boston: Massachusetts Water Resources Authority. Report 2024-02. 73p. <a href="https://www.mwra.com/harbor/enquad/pdf/2024-02.pdf" target="_blank" rel="noopener">https://www.mwra.com/harbor/enquad/pdf/2024-02.pdf (opens in new window)</a></p> <p> </p>
Ebullition drives high methane emissions from a eutrophic coastal basin
<p>Dataset used in the article: "Ebullition drives high methane emissions from a eutrophic coastal basin".</p>
Eutrophication and deoxygenation drive high methane emissions from a brackish coastal system
<p>Data presented in the article "<span>Eutrophication and deoxygenation drive high methane emissions from a brackish coastal system </span>".</p>
Data for the article "Nitrate driven eutrophication supports high nitrous oxide production and emission in coastal lagoons"
<p>The data file shows data on:</p> <ul> <li>bottom water temperature</li> <li>bottom water oxygen, NH4+, NO2-, NO3-, DIN, DIP, and chlorophyll a concentrations</li> <li>bottom water N:P ratio</li> <li>benthic N2O flux</li> <li>water-air N2O flux</li> <li>benthic O2, NO2-, NO3-, DIN, and DIP flux</li> </ul> <p>Samples were collected from three European lagoons (Curonian, Vistula and Oder) in 2021 to 2023. </p>
Figure 4 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 4. Mean values of the infracommunity parameters (± standard deviation) in Ariopsis guatemalensis from Tres Palos lagoon.
Figure 2 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 2. Species accumulation curves for component parasite communities of Ariopsis guatemalensis from Tres Palos lagoon. Only some species accumulation curves are shown.
Figure 1 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 1. Relationship between the gonadosomatic index (GSI) and gastric repletion index (GRI) in Ariopsis guatemalensis from Tres Palos lagoon.
Figure 5 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 5. Scatter plot of principal component analysis (PCA) of factors that influence the species richness and diversity of the parasite infracommunities of Ariopsis guatemalensis, from Tres Palos lagoon. 'Predictor variables': Season = climatic season, Month = sampling month, GRI = gastric repletion index, GSI = gonadosomatic index, CF = condition factor, Size = host body size (total length), Sex = sex of the host. Infracommunity parameters: Richness = number of parasite species per host, Diversity = Brillouin diversity index values, Load = total number of parasites per infracommunity, Evenness = species evenness, RHsp = number of heteroxenous parasite species, THsp = total number of heteroxenous parasites, TMsp = total number of monoxenous parasites. Ellipses represent sampling months.
Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons
<p>We present here the raw data and scripts to reproduce the results presented in the preprint "Disentangling the effects of eutrophication and natural variability on macrobenthic communities across French coastal lagoons" available on BioRxiv. Before using the scripts and associated data, we recommend reading the "readme" word document also available, which details the information available in the different data sheets. </p> <p>Preprint abstract : </p> <p>Coastal lagoons are transitional ecosystems that host a unique diversity of species and support many ecosystem services. Owing to their position at the interface between land and sea, they are also subject to increasing human impacts, which alter their ecological functioning. Because coastal lagoons are naturally highly variable in their environmental conditions, disentangling the effects of anthropogenic disturbances like eutrophication from those of natural variability is a challenging, yet necessary issue to address. Here, we analyze a dataset composed of macrobenthic invertebrate abundances and environmental variables (hydro-morphology, water, sediment and macrophytes) gathered across 29 Mediterranean coastal lagoons located in France, to characterize the main drivers of community composition and structure. Using correlograms, linear models and variance partitioning, we found that lagoon hydro-morphology (connection to the sea and lagoon surface), which affects the level of environmental variability (salinity and temperature), as well as lagoon-scale benthic habitat diversity (using macrophyte morphotypes) seemed to regulate macrofauna distribution, while eutrophication and associated stressors like low dissolved oxygen, acted upon the existing communities, mainly by reducing species richness and diversity. Furthermore, M-AMBI, a multivariate index composed of species richness, Shannon diversity and AMBI (AZTI's Marine Biotic Index) and currently used to evaluate the ecological state of French coastal lagoons, was more sensitive to eutrophication (18%) than to natural variability (9%), with nonetheless 49% of its variability explained jointly by both. To improve the robustness of benthic indicators like M-AMBI and increase the effectiveness of lagoon benthic habitat management, we call for a revision of the ecological groups at the base of the AMBI index and of the current lagoon typology which could be inspired by the lagoon-sea connection levels used in this study.</p>
United Nations Environment Programme - Sustainable Development Goal 14(2022): Index of coastal eutrophication in Latin America
Validation campaign in support of the United Nations Environment - Sustainable Development Goal 14.1.1a of 2022: Index of coastal eutrophication in Latin America. This dataset contains validation data for ocean color satellite data products and collects nutrient data on eutrophication. The data will be used to evaluate the effectiveness of the satellite-derived indicators and to develop more specific, level 2 satellite data indicators for the member countries in the future.
Figure 3 in Temporal dynamics of parasite populations and communities of blue sea catfish Ariopsis guatemalensis (Günther, 1864), in a eutrophic coastal lagoon from Mexican Pacific
Figure 3. Non-metric multidimensional scaling (nMDS) plot for parasite communities in Ariopsis guatemalensis from Tres Palos lagoon. Ellipses represent similarity levels between sampling months.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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