HOME
StreamNet's home page
StreamNet's mission, services, and participants
Locate fish-related data
StreamNet's largest data resource, regularly updated ("integrated" interface).
StreamNet's largest data resource, regularly updated (traditional interface).
Locate data from a map interface. Obtain maps and GIS layers.
Locate static data sets. Also, add your data sets to the archive.
A full service library containing fish and wildlife literature and reports.
Various other useful materials
Links to other fisheries related resources on the Web
2004 U.S. District Court ruling on pesticides near salmon streams
Stream reaches where hydroelectric development is discouraged
Information and data in support of the NPCC Fish and Wildlife program
Documents, reports, and newsletters produced by the StreamNet project
Recommendations on how to cite data and information obtained from StreamNet
Various other useful materials
The latest data, but in the old look.
|
STREAMNET DATA STORE
|
The StreamNet Data Store is a searchable archive of data sets related to fish and other aquatic resources that are not of the specific data types included in the main StreamNet database. These data sets come from many different sources and are provided for download in their original formats. To add your own data set to the Data Store, use our Data Publishing Service.
StreamNet did not participate in creation of most of these data sets, and we are not able to answer questions about those we did not help develop. For questions about the data sets available from this page, please contact the originator of the particular data set.
To search the Data Store, enter key words, project numbers, species, methods, etc. into the search box below and click "Search".
Lake Pend Oreille Vemco Telemetry database
|
| Data Categories
|
Movements and migration
|
| Dates of Data
|
2018 TO 2020
|
| Data Set Status
|
In work
|
| Data Set Update Schedule
|
Monthly
|
| Date Data Set Published on StreamNet Data Store
|
01-15-2020
|
| Project Name & Number
|
1994-047-00
|
| Purpose of Data Set
|
This project is proposed as on-site, partial mitigation for impacts of Albeni Falls Dam. Fall draw downs of the naturally created Lake Pend Oreille greatly reduced the amount of shoreline spawning habitat for kokanee, the primary forage of bull trout and rainbow trout. Albeni Falls Dam also inundated about 26 miles of the Pend Oreille River and the lower two miles of the Clark Fork River. Thus, both river and lake habitats have been changed by the operation of the dam. The goal of this project is to recover the sport fisheries that were impacted by the federal hydropower system.
Until recently, fall draw downs that negatively influenced spawning habitat were the primary limiting factor for kokanee. While lake level management is still critically important and a major player in this project, predation manifested itself as the primary limiting factor during the past decade. This study has documented that predation on kokanee is a threat to the Lake Pend Oreille ecosystem. Exceptionally high predation levels by lake trout and rainbow trout could extirpate kokanee from the lake if left unchecked. Without kokanee, lake trout and bull trout would be in direct competition for a limited food supply. In Flathead Lake, Montana and Priest Lake, Idaho, lake trout replaced bull trout as the dominant predator species once the kokanee forage base was gone. We therefore propose the objective of restoring the bull trout population so that it is healthy enough to provide a harvest of 1,000 fish annually in the lake. To accomplish this objective we propose several tasks, including the direct removal of lake trout using trap nets and gill nets. Hansen et al. (2006) estimated that lake trout are currently being exploited at a level that results in annual mortality in excess of 50%. This is beyond the threshold where lake trout populations begin to decline. Continued lake trout removal is needed to cause a substantial decline in lake trout abundance. Rainbow trout are the second most abundant kokanee predator in the lake. Management actions have been enacted to reduce rainbow trout abundance. These actions include allowing unlimited angler harvest, allowing the use of four fishing rods, opening tributary streams to fishing, and paying anglers a $15 per fish bounty. The Avista Corporation is cost-sharing on efforts to reduce kokanee predation by funding a bounty program for lake and rainbow trout harvested by anglers and by funding a large portion of the lake trout netting efforts. The current study includes work aimed at evaluating the effectiveness of predator reduction efforts. This includes evaluating the responses of predator populations and the kokanee population. In 2007, kokanee survival was at a record low and the population was on the verge of collapse. Since then kokanee survival has improved substantially, which indicates that predator removal efforts to reduce the influence of predation on kokanee are working. If these higher survival rates can be sustained, predation will no longer limit kokanee population growth. This will allow lake level management to be fully tested, without the confounding of high predation that has occurred in recent years.
Field work in this proposal is largely to be conducted by the Idaho Department of Fish and Game. However, several subcontracts are proposed for portions of the work. The Washington Department of Fisheries will examine kokanee otoliths to determine whether they are of wild or hatchery origin. Operation of gill nets and trap nets to remove lake trout will be conducted by Hickey Bros., LLC. A graduate project conducted by the University of Idaho will evaluate nutrient dynamics and the influence they have on kokanee survival. Additionally, the University of Idaho will conduct a graduate study to evaluate kokanee egg survival to emergence at different lake elevations and in various habitat conditions. This work will supplement existing egg-to-fry survival estimates. Finally, we will continue a sediment coring project subcontracted to TerraGraphics, Inc. to assess productivity changes that have occurred over time in Lake Pend Oreille and implications this has on kokanee survival. This work is part of the broader research we are conducting on nutrient dynamics and factors influencing kokanee survival.
|
| Summary / Abstract
|
Telemetry data from passive telemetry receivers in Lake Pend Oreille and adjacent rivers
|
| Broad Biological Groups
|
Fishes
|
| Taxa
|
Lake trout Salvelinus namaycush, Rainbow trout Oncorhynchus mykiss, Walleye Sander vitreus
|
| Location
|
Lake Pend Oreille proper, Clark Fork River, Pend Oreille River, Lightning Creek, Pack River, Priest River
|
| NPCC Subbasins (2001 Subbasins)
|
Provincial (Intermountain/Pend Oreille)
|
| Hatcheries
|
|
| Dams
|
|
| Keywords
|
Telemetry, movements
|
| Lead Person and Organization That Created the Data Set
|
Idaho Department of Fish and Game (IDFG)
|
| Other Participating Organizations
|
Funding provided by Bonneville Power Administration
|
| Contact Person for Questions About the Data
|
Name: Pete Rust
Position:
Organization: IDFG
Address: 2885 W. Kathleen Avenue
coeur d'alene,
ID 83814
United States
Phone: 2087691414
email: pete.rust@idfg.idaho.gov
|
| Broad Category of Methods
|
Field
|
| Data Collection Methods
|
Acoustic telemetry
|
| File Formats
|
Microsoft Access 2010
|
| Data structure description
|
See data set files.
|
| URL where updated data may be available
|
|
|
Some data sets are intrinsically linked to software, tools, models, or statistical procedures, and must be used in
association in order to be of value. If this applies to this data set then the following information will apply:
|
| Relationship between the data set and the software, model, etc.
|
|
| Where the software, tools, models, etc. can be obtained if they are not included with the data download.
|
|
| Contact person for questions about the software, tools, models, etc.
|
Name:
Organization:
Address:
,
Phone:
email:
|
| Papers, reports, and presentations that were done under this project.
|
|
| Restrictions or legal prerequisites for accessing and using this data set.
|
No
|
|
|
