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Seabird population dynamics modelling on Alaska Maritime Refuge.

Dates

Creation
2017-10-25
Span of project activity
2015-03-01
Span of project activity
2017-03-01

Citation

Aleutian Bering Sea Islands LCC(administrator), U.S. Fish & Wildlife Service(funder), Courtney Conway(Principal Investigator), 2017-10-25(creation), Seabird population dynamics modelling on Alaska Maritime Refuge., https://absilcc.org/science/SitePages/FY2017-11.aspx

Summary

This project will engage researchers from the University of Idaho to assist with a set of analysis tasks that will improve understanding of seabird population dynamics and environmental drivers at a regional scale based on prior survey efforts that have been focused at a colony scale. Specifically, we envision the development of a population model for a couple of index species like murres and kittiwakes, including evaluation of spatial clustering of populations that co-vary, in order to: 1) asses implications of covariates with identified mechanisms and appropriate temporal (pre-breeding condition, summer, rearing, overwinter survival, etc.) and spatial scales; 2) evaluate the feasibility of combining seabirds into foraging guilds [...]

Contacts

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Project Extension

parts
typeShort Project Description
valueThis project will engage researchers from the University of Idaho to assist with a set of analysis tasks that will improve understanding of seabird population dynamics and environmental drivers at a regional scale based on prior survey efforts that have been focused at a colony scale.

Budget Extension

totalFunds100000.0
annualBudgets
year2015
fundingSources
amount100000.0
recipientUSGS Idaho Cooperative Fish and Wildlife Research Unit
sourceU.S. Fish & Wildlife Service
totalFunds100000.0

Communities

  • Aleutian and Bering Sea Islands Landscape Conservation Cooperative
  • LC MAP - Landscape Conservation Management and Analysis Portal

Tags

Provenance

generated using ADIwg mdTranslator 2.13.2

Additional Information

Identifiers

Type Scheme Key
urn:uuid urn:uuid 74ae392b-9e02-44c9-b006-a7c21382999b
lcc:arctic lcc:arctic ABSI2017-11

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