Skip to main content

Capture of Down-Scale Climate Change Models. Part B: The Application of High Resolution Climate Models for Avian Conservation

Dates

Creation
2013-05-10 17:43:32
Last Update
2017-08-30 18:25:43
Start Date
2010-07
End Date
2013-09
Start Date
2012-08-01 17:49:53
End Date
2013-09-30 17:49:53

Citation

Susan K Skagen(Principal Investigator), Plains and Prairie Potholes Landscape Conservation Cooperative(administrator), Plains & Prairie Potholes LCC Data Manager(Point of Contact), LCC Network Data Steward(Point of Contact), 2013-05-10(creation), 2017-08-30(lastUpdate), 2010-07(Start), 2013-09(End), Capture of Down-Scale Climate Change Models. Part B: The Application of High Resolution Climate Models for Avian Conservation

Summary

This project will develop species distribution models (SDM) to evaluate current and future occurrence and density of wetland-dependent birds relative to several predictors, including land use patterns, wetland condition and connectivity, geomorphic setting and climate. These tools will suggest which wetland-dependent bird species appear most vulnerable to climate and land use change based on the expected extent of range change under various scenarios. Knowledge of natural history and habitat associations of species coupled with coefficients from regression models will provide insight into the potential reasons for species vulnerability. This information will be valuable in the development of management strategies.

Contacts

Attached Files

Click on title to download individual files attached to this item.

md_metadata.json 55.04 KB
metadata.xml
Potential Metadata Source

View
75.62 KB

Project Extension

parts
typeShort Project Description
valueThis project will develop species distribution models (SDM) to evaluate current and future occurrence and density of wetland-dependent birds relative to several predictors, including land use patterns, wetland condition and connectivity, geomorphic setting and climate. These tools will suggest which wetland-dependent bird species appear most vulnerable to climate and land use change based on the expected extent of range change under various scenarios. Knowledge of natural history and habitat associations of species coupled with coefficients from regression models will provide insight into the potential reasons for species vulnerability. This information will be valuable in the development of management strategies.
projectStatusCompleted

Budget Extension

annualBudgets
year2012
fundingSources
amount86900.0
recipientFort Collins Science Center
sourceU.S. Fish and Wildlife Service
totalFunds86900.0
totalFunds86900.0

Map

Spatial Services

ScienceBase WMS

Communities

  • LC MAP - Landscape Conservation Management and Analysis Portal
  • Plains and Prairie Potholes Landscape Conservation Cooperative

Associated Items

Tags

Provenance

generated using ADIwg mdTranslator 2.14.2

Additional Information

Identifiers

Type Scheme Key
gov.sciencebase.catalog gov.sciencebase.catalog 518d31c4e4b05ebc8f7cc237

Item Actions

View Item as ...

Save Item as ...

View Item...