Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > National CASC > FY 2009 Projects > Forecasting Climate Change Induced Effects on Recreational and Commercial Fish Populations in the Great Lakes ( Show direct descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___National CASC ____FY 2009 Projects _____Forecasting Climate Change Induced Effects on Recreational and Commercial Fish Populations in the Great Lakes Filters
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Great Lakes fishery managers and stakeholders have little information regarding how climate change could affect the management of recreationally and commercially important fisheries, which have been valued at more than $7 billion USD annually. Our research focused on how climate change could influence fish habitat (including water temperature, ice cover, and water levels), phytoplankton production that supports fish biomass, and ultimately the growth and consumption of many important recreational and commercial fish species. This final report was produced for the NCCWSC-funded project Forecasting Climate Change Induced Effects on Recreational and Commercial Fish Populations in the Great Lakes.
Categories: Publication;
Types: Citation;
Tags: Fish,
Fishery Management,
Great Lakes,
National CASC,
Wildlife and Plants,
Abstract (from http://www.sciencedirect.com/science/article/pii/S0380133014002597): Fish stock-recruitment dynamics may be difficult to elucidate because of nonstationary relationships resulting from shifting environmental conditions and fluctuations in important vital rates such as individual growth or maturation. The Great Lakes have experienced environmental stressors that may have changed population demographics and stock-recruitment relationships while causing the declines of several prey fish species, including rainbow smelt (Osmerus mordax). We investigated changes in the size and maturation of rainbow smelt in Lake Michigan and Lake Huron and recruitment dynamics of the Lake Michigan stock over the past...
Great Lakes fishery managers and stakeholders have little information regarding how climate change could affect the management of recreationally and commercially important fisheries, which have been valued at more than $7 billion annually. Our research has focused on how climate change could influence fish habitat (including water temperature, ice cover, and water levels), phytoplankton production, and ultimately fish production. Focusing on lakes Michigan and Huron, this webinar provids information about: whether we can detect climate signals in long-term data on fisheries and phytoplankton preliminary climate (e.g., water temperature, ice cover) forecasts for 2043-2065 how future climate could influence growth...
Data represent lakewide mean chlorophyll-a estimated from SeaWifs and/or MODIS AQUA satellite data. Each daily value represents the mean of all raster cells for the particular day.
A Coupled Hydrosphere Atmosphere Research Model was developed that predicted vertical water temperature profiles, ice cover, and precipitation within 40-km grids and lake levels for Lakes Huron between 2058 and 2066. In this data set, daily predicted water temperature profiles are summarized for four regions in Lake Huron (north: North of 45 degrees N; central: between 43 degrees 55 minutes N and 45 degrees N; south: south of 43 degrees 55 minutes N; south-shallow: only areas less than <40 m bottom depth and south of 43 degrees 55 minutes N). Model output was driven by the Canadian CRCM3 GCM and assumed SRES A2 scenario greenhouse gas concentrations.
Categories: Data;
Tags: Climate change,
Fish,
Greenhouse gases,
Inland fisheries,
Lake Huron, USA and Canada,
Great Lakes fishery managers and stakeholders have little information regarding how climate change could affect the management and conservation of fish populations, including those of high recreational and commercial value. USGS scientists worked closely with state management agencies and the National Wildlife Federation to complete several objectives that provide knowledge to aid their planning and management strategies in anticipation of coming changes. First, researchers updated a regional Great Lakes climate model to predict water level changes, water temperatures, and ice cover data for the entire Great Lakes basin 50-100 years into the future. Second, researchers used satellite data to determine whether the...
Abstract: Greenhouse gas-induced climate change will have notable effects on the Great Lakes region, in the atmosphere, land surfaces, and lakes themselves. Simulations of these effects were carried out using the Coupled Hydrosphere-Atmosphere Research Model (CHARM), driven by output from the Canadian General Circulation Model version 3 (CRCM3) for past and future time periods. This results in increased downward longwave radiation and near-surface air temperature. The air temperature increases during summer have strong spatial minima directly over the lakes that are limited to the lowest model layer and seem to be associated with frequent fog depicted by CHARM. Precipitation is also generally increased, with the...
Categories: Publication;
Types: Citation;
Tags: CHARM,
Fish,
General circulation model,
Great Lakes,
National CASC,
Abstract (from http://onlinelibrary.wiley.com/doi/10.1111/fwb.12569/abstract): Lakes Michigan and Huron, which are undergoing oligotrophication after reduction of phosphorus loading, invasion by dreissenid mussels and variation in climate, provide an opportunity to conduct large-scale evaluation of the relative importance of these changes for lake productivity. We used remote sensing, field data and an information-theoretic approach to identify factors that showed statistical relationships with observed changes in chlorophyll a (chla) and primary production (PP). Spring phosphorus (TP), annual mean chla and PP have all declined significantly in both lakes since the late 1990s. Additionally, monthly mean...
Categories: Publication;
Types: Citation;
Tags: Fish,
National CASC,
Wildlife and Plants,
chlorophyll,
climate,
Abstract: The predictive power of recruitment models often relies on the identification and quantification of external variables, in addition to stock size. In theory, the identification of climatic, biotic, or demographic influences on reproductive success assists fisheries management by identifying factors that have a direct and reproducible influence on the population dynamics of a target species. More often, models are constructed as one-time studies of a single population whose results are not revisited when further data become available. Here, we present results from stock recruitment models for Alewife Alosa pseudoharengus and Bloater Coregonus hoyi in Lakes Michigan and Huron. The factors that explain variation...
A Coupled Hydrosphere Atmosphere Research Model was developed that predicted vertical water temperature profiles, ice cover, and precipitation within 40-km grids and lake levels for Lake Michigan between 2058 and 2066. In this data set, daily predicted water temperature profiles are summarized for four regions in Lake Michigan (north: North of 45 degrees 20 minutes N; central: between 43 degrees 30 minutes N and 45 degrees 20 minutes N; south: south of 43 degrees 30 minutes N; south-shallow: only areas less than <40 m bottom depth and south of 43 degrees 30 minutes N). Model output was driven by the Canadian CRCM3 GCM and assumed SRES A2 scenario greenhouse gas concentrations.
Categories: Data;
Tags: Climate change,
Fish,
Greenhouse gases,
Inland fisheries,
Lake Michigan, USA,
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