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8 results for “trophic status”
LAGOS-NE Shallow Lakes: a dataset of lake variables and multi-scaled ecological context variables used to predict and compare trophic status and TP:CHLa relationships between shallow and non-shallow lakes in the Upper Midwest and Northeastern United States.
We conducted a macroscale study of 2,210 shallow lakes (mean depth ≤ 3m or a maximum depth ≤ 5m) in the Upper Midwestern and Northeastern U.S. We asked: What are the patterns and drivers of shallow lake total phosphorus (TP), chlorophyll a (CHLa), and TP–CHLa relationships at the macroscale, how do these differ from those for 4,360 non-shallow lakes, and do results differ by hydrologic connectivity class? To answer this question, we assembled the LAGOS-NE Shallow Lakes dataset described herein, a dataset derived from existing LAGOS-NE, LAGOS-DEPTH, and LAGOS-CLIMATE datasets. Response data variables were the median of available summer (e.g., 15 June to 15 September) values of total phosphorus (TP) and chlorophyll a (CHLa). Predictor variables were assembled at two spatial scales for incorporation into hierarchical models. At the local or lake-specific scale (including the individual lake, its inter-lake watershed [iws] or corresponding HU12 watershed), variables included those representing land use/cover, hydrology, climate, morphometry, and acid deposition. At the regional scale (e.g., HU4 watershed), variables included a smaller set of predictor variables for hydrology and land use/cover. The dataset also includes the unique identifier assigned by LAGOS-NE(lagoslakeid); the latitude and longitude of the study lakes; their maximum and mean depths along with a depth classification of Shallow or non-Shallow; connectivity class (i.e., whether a lake was classified as connected (with inlets and outlets) or unconnected (lacking inlets); and the zone id for the HU4 to which each lake belongs. Along with the database, we provide the R scripts for the hierarchical models predicting TP or CHLa (TPorCHL_predictive_model.R), and the TP—CHLa relationship (TP_CHL_CSI_Model.R) for depth and connectivity subsets of the study lakes.
Harmful Algal Bloom Reports for 405 lakes in New York State (USA), with antecedent weather conditions and trophic status for each lake.
Cyanobacterial harmful algal blooms (cyanoHABs) are often associated with warm water temperatures and low wind speeds, but quantifying thresholds in meteorological conditions is challenging. In an attempt to better quantify antecedent weather conditions associated with cyanoHABs, we assembled a dataset to include cyanoHAB reports from individual lakes, as well as air temperature and wind speed data on the day of, and 5 days preceding each cyanoHAB report. CyanoHAB reports were provided by the New York State Department of Environmental Conservation (NYSDEC) for 405 lakes for an 11 year period spanning 2012-2023. We used 4km gridded surface meteorological data to calculate antecedent weather conditions leading up to each report. The resulting dataset includes 4,208 cyanoHAB reports from lakes of varying trophic states in New York State (USA). We calculated anomalies in daily wind speed and air temperature for each report and the five days preceding it. The dataset is formatted as a wide table, with individual cyanoHAB reports listed by row. Each row provides report-specific data to include the date, site, trophic state of the lake, and the cyanoHAB report status. Each row contains weather data specific to the date and location of each report, with weather variables calculated from the closest grid point for each lake site. We provide 36 columns containing weather variables for each report to include air temperature and wind speed for the day of the HAB as well as the 5 days preceding it. We also provide a 24-year mean value for the day of the year (DoY), as well as the calculated difference between the day in question and the 24-year mean for the DoY.
Chlorophyll data from experiments testing for nitrogen, phosphorus, and thiamine limitation of phytoplankton in 39 Ohio lakes of varying trophic status during the growing seasons (April – October) of 2008–2009
Although nitrogen and phosphorus deficiency of algal blooms have been the focus of substantial attention, organic nutrients can limit algal growth in aquatic systems. Growing evidence indicates thiamine (vitamin B1) can influence the community of primary producers in marine systems, but comparatively little is known about the effect of thiamine on freshwater algal productivity. We conducted 106 nutrient deficiency experiments with water from 39 Ohio lakes of varying trophic status during the growing seasons (April – October) of 2008–2009. Specifically, we tested the response of phytoplankton biomass (as chlorophyll a, chl-a) relative to controls to added nitrogen (N), phosphorus (P), thiamine (Th), or combinations of N+P and N+P+Th in integrated surface water collected from the inflow and outflow of each lake. The data presented here show the average chl-a of two replicate samples of each treatment (control, N, P, Th, N+P, N+P+Th), ratio of treatment/control response, and growth response ratio as ln(treatment chl-a/control chl-a). Each entry also includes lake surface water pH at time of collection and the initial chl-a concentration at time of experiment start.
Photodegradation and biodegradation of dissolved organic carbon from four lakes of varying trophic status in Pennsylvania and Florida in 2016
The enclosed data are results from a series of monthly (May-August) experiments conducted in 2016. We measured changes in five variables (dissolved organic carbon (DOC), dissolved inorganic carbon, dissolved oxygen, the spectral slope ratio, and the DOC specific ultraviolet absorbance at 320 nm). Groundwater samples adjacent to four lakes of varying trophic status were used to assess changes in the above variables due to photodegradation and biodegradation. Three lakes (Lacawac, Giles, and Waynewood) are located in the Pocono region of Pennsylvania. The fourth lake (Annie) is located in Venus, FL. Details of the experiment can be found in Dempsey et al. 2020 (accepted at Biogeosciences). In this study, we used groundwater (terrestrial DOC) to simulate storm water inputs to the surface of a lake. We assessed the relative importance of photodegradation and biodegradation by measuring changes in the above variables. All experiments were conducted on the surface of Lake Lacawac (PA). Here, we provide our raw data from the experiments. Outgassing of carbon dioxide (CO2) from freshwater ecosystems comprises 12-25% of the total carbon flux from soils and bedrock. This CO2 is largely derived from both biodegradation and photodegradation of terrestrial dissolved organic carbon (DOC) entering lakes from wetlands and soils in the watersheds of lakes. In spite of the significance of these two processes in regulating rates of CO2 outgassing, their relative importance remains poorly understood in lake ecosystems. In this study, we used groundwater from the watersheds of one subtropical and three temperate lakes of differing trophic status to simulate the effects of increases in terrestrial DOC from storm events. We assessed the relative importance of biodegradation and photodegradation in oxidizing DOC to CO2. We measured changes in DOC concentration, colored dissolved organic carbon (SUVA320 and Sr), dissolved oxygen, and dissolved inorganic carbon (DIC) in short-term experiment
Data for: Climate driven tipping points in the trophic status of northern lakes.
<p>These data were generated to investigate resilience of northern lakes to climate change. Chlorophyll a concentrations in 12,644 temperate lakes in Ontario, Canada were modelled using remote sensing (see Paltsev, A., & Creed, I. F. (2021) Are northern lakes in relatively intact temperate forests showing signs of increasing phytoplankton biomass? <i>Ecosystems</i>. https://doi.org/10.1007/s1002 1-021-00684-y.) and then analysed using spectral methods. </p>
Viral Regulation of Bacterial Metabolism and Community Composition across Trophic Status in Marine Environments
<p>Table 1: Details and microbial abundances during the incubation at the three stations.</p> <p>Table 2: Details and parameters at the end of the incubation.</p>
Data from: Seasonal characteristics of phosphorus sorption by sediments from plain lakes with different trophic statuses
Phosphorus (P) sorption in sediments plays a significant role in trophic status of a lake. This study investigated the characteristics of P sorption in sediments from three lakes with different trophic statuses (moderately eutrophic, lightly eutrophic, and moderately trophic) through kinetic, batch equilibrium, and thermodynamic experiments. Results show that pseudo-second-order kinetics best describe P sorption in sediments from the three lakes. Fitting by modified Langmuir and Freundlich isotherms indicate that the moderately trophic lake sediments has higher sorption capacity (maximum of 0.848 mg g-1 at 35 °C) than the sediments of the other two lakes at different temperatures (5, 15, 25, and 35 °C). Thermodynamic results indicate that the process of P sorption of the three sediments are spontaneous, entropy-driven, and endothermic reactions. The risk of P release in sediments was analyzed according to the calculated results of isotherms combined with the change in P fraction. Sediments from the moderately eutrophic lake act as a source in summer. The lightly eutrophic and moderately trophic lakes act as sources in spring and winter, and a pool in summer and autumn, respectively. Furthermore, the amounts of reductant-soluble P (RS-P), calcium bound P (Ca-P), and iron bound P (Fe-P) are significantly related to the sorption capacity of sediments from the three lakes (p<0.05). The different sediments have the different P release risk, and P fraction in sediment is one of the significant factors of P sorption.
Data from: Seasonal characteristics of phosphorus sorption by sediments from plain lakes with different trophic statuses
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