PREDICTING RELATIVE RISK OF INVASION BY SALTCEDAR AND MUD SNAILS IN RIVER NETWORKS UNDER DIFFERENT SCENARIOS OF CLIMATE CHANGE AND DAM OPERATIONS IN THE WESTERN UNITED STATES
Impact/Purpose:
Predicting the spread and establishment of invasive species in river ecosystems under climate change requires developing models that mechanistically link species population success to climate-sensitive environmental drivers. The goal of this project is to build a general and mechanistic framework with which to predict the future potential distribution of two invasive species expected to expand their ranges under a warming climate in streams and rivers of the western US. We hypothesize that local site invasibility will be regulated by climate-sensitive thresholds of hydrogeomorphic disturbance, which will vary throughout river networks in response to reach-scale channel geomorphology, future precipitation regimes, and operation of dams, which modify natural flow regimes.
Description:
This synthetic, multi-scale approach will generate a sequence of spatially explicit maps that will provide science guidance to support strategic decision-making regarding the spatially-distributed risk of, and possible adaptation to, the spread of invasive species at local to regional scales in the western US. The model will be general enough that it can be applied to other riverine species and resources, including non-invasive species.
Record Details:
Record Type:PROJECT(
ABSTRACT
)
Start Date:07/01/2008
Completion Date:06/30/2012
Record ID:
200589
Keywords:
NICHE MODELING, HYDROLOGIC DISTURBANCE, FLOW REGIME, RIVER MANAGEMENT, RIVER NETWORKS,
Related Organizations:
Role
:OWNER
Organization Name
:COLORADO STATE UNIVERSITY
Citation
:Ft Collins
State
:CO
Zip Code
:80523
Role
:OWNER
Organization Name
:U.S. GEOLOGICAL SURVEY
Citation
:Washington
State
:DC
Role
:OWNER
Organization Name
:U.S. FOREST SERVICE
Citation
:Grand Rapids
State
:MN
Zip Code
:55744
Role
:OWNER
Organization Name
:U.S. BUREAU OF RECLAMATION
Mailing Address
:1849 C Street NW
Citation
:Washington
State
:DC
Zip Code
:20240
Role
:OWNER
Organization Name
:STOCKHOLM ENVIRONMENTAL INSTITUTE
Mailing Address
:133 D Street, Suite F
Citation
:Davis
State
:CA
Zip Code
:95616
Role
:OWNER
Organization Name
:OREGON STATE UNIVERSITY
Citation
:Corvallis
State
:OR
Zip Code
:97331
Project Information:
Approach
:In a geographic region predicted to support saltcedar in the near future, we will downscale projected scenarios of temperature and precipitation as inputs to the Water Evaluation and Planning (WEAP) model framework, allow us to generate streamflow regimes at ca. 50 km2 subbasins based on precipitation and water management operations (including dams). We will use an artificial neural network (ANN) model to spatially distribute the WEAP hydrologic predictions throughout river networks at the reach scale (100s of meters). These reach-scale flow regime predictions, in conjunction with GIS-derived measures of channel and valley bottom geomorphology, will allow us to apply our biological model to assess the most likely locations in river networks for successful saltcedar and mudsnail invasion, given the flow-mediated disturbance regimes of any of several future climate scenarios. Further, using the coupled WEAP-ANN model, we will explore how a range of water management operations might influence the likelihood of invasive establishment in these climate contexts. Finally, we will use innovative stochastic population models to evaluate the probability of long-term success of the invasive species across a range of habitat vulnerability.
Cost
:$599,748.00
Research Component
:Aquatic Ecosystems
Approach
:In a geographic region predicted to support saltcedar in the near future, we will downscale projected scenarios of temperature and precipitation as inputs to the Water Evaluation and Planning (WEAP) model framework, allow us to generate streamflow regimes at ca. 50 km2 subbasins based on precipitation and water management operations (including dams). We will use an artificial neural network (ANN) model to spatially distribute the WEAP hydrologic predictions throughout river networks at the reach scale (100s of meters). These reach-scale flow regime predictions, in conjunction with GIS-derived measures of channel and valley bottom geomorphology, will allow us to apply our biological model to assess the most likely locations in river networks for successful saltcedar and mudsnail invasion, given the flow-mediated disturbance regimes of any of several future climate scenarios. Further, using the coupled WEAP-ANN model, we will explore how a range of water management operations might influence the likelihood of invasive establishment in these climate contexts. Finally, we will use innovative stochastic population models to evaluate the probability of long-term success of the invasive species across a range of habitat vulnerability.
Cost
:$599,748.00
Research Component
:Global Climate Change
Project IDs:
ID Code
:R833833
Project type
:EPA Grant