Modeling the Effects of Past and Future Climate Change on GLKN Lakes
Sector: Geothermal • Location: United States of America
Source: Grants.gov
Remote interior lakes in national park units of the Great Lakes Network (GLKN) are experiencing unexpected ecological change, including blooms of noxious blue-green algae. Sediment-core data indicate that these changes are unique in the recent history of the lakes. However, land-use change and related increases in phosphorus input are not the likely cause. Rather, the lakes may be responding to a
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Remote interior lakes in national park units of the Great Lakes Network (GLKN) are experiencing unexpected ecological change, including blooms of noxious blue-green algae. Sediment-core data indicate that these changes are unique in the recent history of the lakes. However, land-use change and related increases in phosphorus input are not the likely cause. Rather, the lakes may be responding to a warming climate, as indicated by a lengthening of the ice-free season and stronger thermal stratification during summer. This project will explore whether there is a causal link between observed temperature increases and ecological conditions in GLKN lakes, the likely physical and biological controls, and how these effects vary among different types of lakes. This study will: (1) Compare diatom-based reconstructions of ecological change among four general lake types likely to represent a range of sensitivity to climate warming; specifically shallow and deep lakes and lakes with small and large surface areas; and (2) Reconstruct the thermal conditions (stratification, ice-free season, temperatures) of the study lakes based on local climate records and hydrodynamic lake models. These lake-thermal records will then be compared with ecological reconstructions from the sediment cores to develop predictive relationships between lake type and climate-induced ecological risk. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
