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5 recordsLinked to original sources
USGS2015

Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science through data reuse

Although there are considerable site-based data for individual or groups of ecosystems, these datasets are widely scattered, have different data formats and conventions, and often have limited accessibility. At the broader scale, national datasets exist for a large number of geospatial features of land, water, and air that are needed to fully understand variation among these ecosystems. However, such datasets originate from different sources and have different spatial and temporal resolutions. By taking an open-science perspective and by combining site-based ecosystem datasets and national geospatial datasets, science gains the ability to ask important research questions related to grand environmental challenges that operate at broad scales. Documentation of such complicated database integration efforts, through peer-reviewed papers, is recommended to foster reproducibility and future use of the integrated database. Here, we describe the major steps, challenges, and considerations in building an integrated database of lake ecosystems, called LAGOS (LAke multi-scaled GeOSpatial and temporal database), that was developed at the sub-continental study extent of 17 US states (1,800,000 km 2 ). LAGOS includes two modules: LAGOS GEO , with geospatial data on every lake with surface area larger than 4 ha in the study extent (~50,000 lakes), including climate, atmospheric deposition, land use/cover, hydrology, geology, and topography measured across a range of spatial and temporal extents; and LAGOS LIMNO , with lake water quality data compiled from ~100 individual datasets for a subset of lakes in the study extent (~10,000 lakes). Procedures for the integration of datasets included: creating a flexible database design; authoring and integrating metadata; documenting data provenance; quantifying spatial measures of geographic data; quality-controlling integrated and derived data; and extensively documenting the database. Our procedures make a large, complex, and integrated database reproducible and extensible, allowing users to ask new research questions with the existing database or through the addition of new data. The largest challenge of this task was the heterogeneity of the data, formats, and metadata. Many steps of data integration need manual input from experts in diverse fields, requiring close collaboration.

Connecticut, Delaware, Illinois, Indiana, Iowa, Ma↗
USGS1982

Annual Nutrient Loadings, Primary Productivity, and Trophic State of Lake Koocanusa, Montana and British Columbia, 1972-80

Limnological data collected at Lake Koocanusa were used to investigate the relationship of nutrient loadings, primary productivity, and trophic state of the reservoir during 1972-80. The reservoir, on the Kootenai River, was impounded by Libby Dam on March 21, 1972. Manipulation of the 7.16-cubic-kilometer reservoir for flood control, its primary function, created large fluctuations in reservoir volume and produced annual lake-filling times that ranged from 0.14 to 0.66 year. Loadings of nitrogen and phosphorus prior to and following impoundment of Lake Koocanusa were found to be large enough to predict eutrophic conditions. Beginning in 1976, total phosphorus loadings, but not total nitrogen loadings, were substantially reduced following improvements in waste-water treatment at a fertilizer plant located upstream from the reservoir. The closure of Libby Dam substantially reduced loadings of nitrogen and phosphorus downstream from Lake Koocanusa. On the average, the reservoir retained 63 percent of its influent loading of total phosphorus and 25 percent of its influent loading of total nitrogen. Daily areal and volumetric primary productivity varied widely in each year at four sampled limnological stations. During the 9 years studied, daily areal primary productivity, in milligrams of carbon fixed per square meter, ranged from 0.4 to 420.0; the mean of the 313 sampled days was 128.5. Annual areal primary productivity ranged from 23.2 to 38.5 grams of carbon fixed per square meter and thereby categorized Lake Koocanusa as oligotrophic. The relationship of annual areal primary productivity and 12 selected environmental variables was determined by multiple regression analysis. One of the models that was derived used two variables-annual euphotic zone depth and annual areal phosphorus loading-and accounted for 62.0 percent of the variation in annual areal primary productivity. The distribution of chlorophyll a within the water column indicated that, on the average, more than one-half of the phytoplankton in the reservoir was beneath the euphotic zone. These results support the hypothesis that the reservoir's weak thermal structure had allowed circulation of phytoplankton out of the euphotic zone. The trophic state of Lake Koocanusa was categorized as eutrophic when based on the relationship of the nutrient loadings and the reservoir's ratio of mean depth to hydraulic-residence time. This result conflicted with the oligotrophic ranking the reservoir received based on its areal primary productivity. The discrepancy in trophic state was attributed mainly to the failure of nutrient loading models to adequately account for physical processes within reservoirs. Part of the nutrient loading that entered Lake Koocanusa was unavailable to phytoplankton because the nutrients were carried beneath the euphotic zone by large volumes of interflow and underflow. Another part of the nutrient loading was adsorbed to suspended sediment and removed from the water column. Thus, phytoplankton primary productivity was controlled not only by nutrients, but also by other limno logical processes.

Professional Paper↗
USGS1971

Alewife dieoffs: Why do they occur?

Periodid midwinter, early spring, and summer mortalities of alewives ( Alosa pseudoharengus ) have been common in the Great Lakes since the first appearance of the silvery marine invader in Lake Ontario in the mid-1870's. In 1967 a nationally publicized dieoff of tremendous magnitude (estimated at several hundred million pounds of fish) in Lake Michigan resulted in losses to industry,municipalities, and recreational interests in excess of $100 million. The cause of these mortalities is still unclear. The apparent inability of this primarily marine species to adjust completely to the Great Lakes has several suspected causes, among which failure to adjust to temperature extremes and fluctuations in the Great Lakes now appears to be of primary importance. Other possible causes are exhaustion of the food supply, failure to osmoregulate (maintain a suitable chemical balance) adequately in fresh water, failure to extract sufficient iodine from the iodine-poor Great Lakes, and a combination of these several possibilities.

Limnos↗
USGS1969

Insecticides and the Great Lakes

Cracks in the perfect image of DDT appeared when traces of the insecticide began to show up in a wide variety of organisms throughout the world. As more and more people investigated this problem, it became increasingly evident that terrestrial and aquatic animals were accumulating comparatively high concentrations of DDT from extremely low levels in their environment. It also became apparent that DDT and all of the other chlorinated hydrocarbon insecticides were not species-specific, but were toxic to all forms of animal life including man. In 1965, when the Great Lakes Fishery Laboratory of the U.S. Bureau of Commercial Fisheries began to monitor pesticide residues in fish from the Great Lakes, it was discovered that the fish contained not only DDT, but also dieldrin, another chlorinated hydrocarbon insecticide. Fish from Lake Michigan in particular contained relatively high levels of both of these insecticides; concentrations of DDT were in the parts per million (ppm) range, a factor at least several million times greater than the few parts per trillion found in the water. Two questions presented themselves: first, How did these insecticides get into the water? and second, How did the fish build up such high concentrations in their bodies from such low concentrations in the water?

Limnos↗
USGS1968

The alewife

When the first alewife, Alosa pseudoharengus, was discovered in Lake Michigan near South Manitou Island on May 5, 1949, few people would have guessed that it would become the best known fish of the lake in less than two decades. Now it competes only with the coho salmon in its claim to such fame. When the third specimen was officially recorded from Milwaukee, Wisconsin, in March 1952, however, a newspaper story carried a somber warning from a knowledgeable yet anonymous official of the Michigan Department of Conservation that the alewife might raise havoc with the native species. This warning was fully justified by fact in the years to follow. An upset of the entire fishery ecology of Lake Michigan was already well under way in 1949 when the sea lamprey was consuming the last vestiges of the lake trout (Salvelinus namaycush) and burbot (Lota lota)- the only abundant and widely distributed predators of the lake. Absence of large predators left the way wide open for a small and prolific species such as the alewife. Under this condition the alewife increased with almost unbelievable swiftness.

Limnos↗