Predicting the Sensitivity of Boreal Lake Ecosystems to Climate Change | NOIP17AC01132

Opportunity Information: Apply for NOIP17AC01132

This funding opportunity, offered by the Department of the Interior through the National Park Service, supports a focused study on how boreal lake ecosystems may respond to climate change, with special attention to inland lakes at Isle Royale National Park (ISRO). The core idea is that climate change affects lakes first through physical shifts in temperature patterns and mixing behavior, and those physical changes can then ripple through the food web by altering algae, which form the base of aquatic ecosystems. Because algae respond relatively quickly to changes in light, temperature, nutrient cycling, and oxygen conditions, long-term algal community trends can serve as a practical indicator of broader ecosystem change.

The project is built around linking two pieces: the physical driver and the ecological response. On the physical side, the grant emphasizes lake thermal structure, especially whether and how strongly a lake stratifies during the summer growing season. Stratification is the separation of a lake into layers of different temperatures, which can reduce mixing between surface waters and deeper waters. Prior research cited in the announcement notes that a lake's maximum depth and surface area are major predictors of stratification behavior, meaning that basic lake morphology can provide a first-pass way to anticipate how a lake might respond to warmer conditions. The opportunity also highlights the availability of modern lake models that can simulate thermal structure and dissolved oxygen using meteorological data plus current lake measurements. A key advantage of these models is that they can be "hind-cast" using historical weather data to reconstruct past conditions, helping researchers understand how lakes may already have been shifting over time.

On the ecological side, the main response variable is change in algal communities over the long term. The agreement aims to assess sensitivity to climate change by documenting how algal assemblages have changed historically and how those changes relate to differences in stratification across lakes. The announcement frames this as creating a semi-empirical sensitivity scale: by examining lakes that span a gradient from less stratified to more stratified conditions, the study can infer which lake types are more likely to see future shifts in algae as climate continues to warm. That sensitivity scale is meant to improve prediction, not just for a single lake, but across similar boreal systems where morphology and stratification potential differ.

Methodologically, the work is expected to combine three complementary approaches. First is contemporary limnological monitoring, which typically involves measuring present-day water temperature profiles, dissolved oxygen, and other water quality indicators that help describe how the lake behaves seasonally. Second is ecosystem and physical modeling, using meteorological inputs and lake characteristics to simulate thermal and oxygen dynamics, including the ability to reconstruct past conditions from historical weather records. Third is the use of lake sediment records from eight lakes, selected to represent a range of lake sizes (surface area and depth). Sediments preserve biological and chemical signals over time, and in many lake studies they are used to reconstruct historical algal communities and infer long-term environmental change. By pairing current monitoring with sediment-based histories and model hind-casts, the project can connect present observations to past trajectories and strengthen confidence in forward-looking predictions.

The setting matters because Isle Royale's inland lakes are described as high-value natural resources with ecological, cultural, and recreational importance. They provide habitat for fish and waterfowl, including loons, and they support popular park activities such as fishing, swimming, boating, and camping. The opportunity notes that the park's Water Resources Management Plan identifies monitoring of these lakes as a high priority, reinforcing that the study is intended to directly inform management decisions. The broader management motivation is straightforward: if climate-driven changes in thermal structure are likely to shift algae, that can affect oxygen conditions, habitat suitability for fish, food availability for higher trophic levels, and overall visitor experience. Improving understanding of these linkages helps managers anticipate risks, adjust monitoring strategies, and communicate changes to the public.

In terms of award details, the opportunity is a Cooperative Agreement (not a standard grant), which generally implies substantial involvement or collaboration with the National Park Service during project implementation. It was posted in August 2017 with an original closing date of August 18, 2017. The program falls under the Natural Resources activity category with CFDA number 15.944, with an expected single award and an award ceiling of $100,000. Eligibility is listed broadly as "Others" with additional clarification referenced in the original opportunity materials, suggesting the applicant pool may include non-federal partners such as universities, research institutions, or similar organizations depending on the specific eligibility language.

• The Department of the Interior, National Park Service in the natural resources sector is offering a public funding opportunity titled "Predicting the Sensitivity of Boreal Lake Ecosystems to Climate Change" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 15.944.
• This funding opportunity was created on Aug 07, 2017.
• Applicants must submit their applications by Aug 18, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Each selected applicant is eligible to receive up to $100,000.00 in funding.
• The number of recipients for this funding is limited to 1 candidate(s).
• Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).

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