Harmful algal blooms (HABs) present public health challenges for communities in Iowa and around the globe. These blooms are most closely associated with in-lake phosphorus availability. Management strategies to prevent and mitigate HABs typically focus on watershed sources of phosphorus; however, lakebed sediments also represent a pool of phosphorus that may reenter the water column and fuel HABs. In many systems, this internal phosphorus loading can maintain high, in-lake phosphorus concentrations, even if external nutrient inputs are reduced.It is known that a variable suite of chemical, physical, and biological mechanisms drives internal P loading; however, these control points are poorly understoodand quantified in shallow lakes. The objectives of this research are to (1) quantify the magnitude of gross internal phosphorus loading in shallowlakes, including variation within and among lakes; (2) identify sources of variation in internal phosphorusloading within and among lakes; and (3) evaluate the relative influences of chemical conditions and disturbance on sediment phosphorus loads. In order to meet the proposed objectives, we will build a sediment core incubation system and use it to measure gross internal phosphorus loading on cores from seven study lakes in northwestern Iowa. Replicate cores will be incubated under different oxygen and disturbance treatments to evaluate interactions among hypothesized drivers of internal loading. The results of this research will offer a quantitative understanding of internal phosphorus loading in shallowlakes. Thisis critical knowledge for the prediction and prevention of HABs.This project will additionally enhance our understanding of shallow lake biogeochemistry, offer verified methods to measure sediment phosphorus fluxes, and provide managers with another tool for lake restoration planning and evaluation.
The Economic Benefits of Mitigating Harmful Algal Blooms in Iowa
Measuring Impacts of Lake Management Practices on Harmful Algal Blooms using Continuous Monitoring at the Iowa Great Lakes
The nutrient dynamics in eutrophic shallow lakes is complicated by a number of external and in-ternal ecosystem factorsthat control the timing and rates of nutrient availability. Depending on these dynamics,abundant dense-rooted aquaticplants or algal blooms commonlyform. High-value recreational lakes, such as those that comprisethe Iowa Great Lakes, experienceadditional pres-suresdue to invasive speciesand desire to ensure clear,open water conditionsfor recreational purposes.The lakes also serve as a critical drinking water source for local communities. Manage-ment of rooted aquatic plants, includingthe amount andtiming of removal can affect internal re-cycling of nutrients, which may result inconditionsamenable for development of algal blooms.Theseblooms can consist of cyanobacteria (i.e., blue-green algae),or what have become com-monly known as harmful algal blooms (HABs).During their life cycle,HABs lead to unpleasant conditions including blue-green scums on the water surface, and under someconditions HABs release toxins into the water,which present a health risk.With this researchwe propose to addressthe following question: “To what degree doin-lake management activities,designed to improve water quality and recreation at the Iowa Great Lakes,affect the occurrence of algal blooms, particularly harm-ful algal blooms due to cyanobacteria?”Recorded trends of HABs are rising in Iowa and are a major concern due to their impacts on drink-ing water supplies and human health, on recreation, and due to the danger to livestock, pets, and wildlife. A number of Iowa lakes regularly experience HABs. Some lakes,such as Green Valley Lake,experience chronic HABs throughout the summer, while others (e.g.,Lake MacBrideand Big SpiritLake)only occasionally experience blooms.Predicting when andwhere HABs will form is still poorly understood. Nevertheless, withadvances in real-time continuous monitoring, as well as recent investments in water quality monitoring buoys by the Iowa DNR and Iowa Lakeside Laboratoryinstalled on two of the Iowa Great Lakes, there is now an opportunity to investigate how management practices intended to control water quality affect the conditionsthat result in HABs. In particular, internal recycling of nutrients may be affectedby management of invasive rooted aquatic plants, such as curly-leaf pondweed. Investigating nutrient release rates from lake sediments along with trackingthe timing and extent of management activities will provide critical data to better understand the connections between lake water quality management and HABs.Ex-treme weather resulting in sediment resuspension and release of phosphorus from lake sediments may also be a factor in the formationof HABs.
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Hydro-NPOSS: A Non-Proprietary Open-Source Software for Hydrologic Data Visualization and Model Evaluation
Emerging techniques and data sources such as satellite remote sensing platforms and field observation networks have brought an unprecedented opportunity for the hydrologic community to better understand hydrologic cycle. At the same time, it has introduced challenges requiring effective tools and techniques for dissemination, visualization and analysis of the hydrologic data. Several open-source software solutions have been developed for hydrologic data visualization and analysis. Unlike their commercial counterparts, open-source software for web applications can benefit from developer contributions, user feedbacks, and further improvement. However, in most cases, the current solutions for hydrologic data have multiple dependencies on third-party software and programming languages which makes them cumbersome and time-consuming to deploy, maintain, and extend. To overcome these hurdles, we developed a non-proprietary open-source software (NPOSS) that allows users to visualize and analyze multivariate space-time hydrologic data that we call Hydro-NPOSS. Hydro-NPOSS leverages the concept of three-dimensional data cubes that allow users to query data in space, time, and variable dimension(s) which does not require a database system. Thereby, users can define data sources from local file systems and/or external data sources (e.g. online data services). This capability makes Hydro-NPOSS a flexible and portable solution where users can publish their hydrologic datasets in Open Data journals or as companion to their publications. Moreover, Hydro-NPOSS is an easy-to-deploy and interactive web solution for data visualizations where it can be used for visualizing time-series and geospatial datawith least effort and user expertise in web application development.