Cooperative Research Units
Education, Research And Technical Assistance For Managing Our Natural Resources
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Freeman, M. C., Buell, G. R., Hay, L. E., Hughes, W. B., Jacobson, R. B., Jones, J. W., Jones, S. A., Lafontaine, J. H., Odom, K. R., Peterson, J. T., Riley, J. W., Schindler, J. S., Shea, C. and Weaver, J. D. (2013), LINKING RIVER MANAGEMENT TO SPECIES CONSERVATION USING DYNAMIC LANDSCAPE-SCALE MODELS. River Research and Application 29: 906–918

Abstract

Efforts to conserve stream and river biota could benefit from tools that allow managers to evaluate landscape-scale changes in species distributions in response to water management decisions. We present a framework and methods for integrating hydrology, geographic context and metapopulation processes to simulate effects of changes in streamflow on fish occupancy dynamics across a landscape of interconnected stream segments. We illustrate this approach using a 482 km2 catchment in the southeastern US supporting 50 or more stream fish species. A spatially distributed, deterministic and physically based hydrologic model is used to simulate daily streamflow for sub-basins composing the catchment. We use geographic data to characterize stream segments with respect to channel size, confinement, position and connectedness within the stream network. Simulated streamflow dynamics are then applied to model fish metapopulation dynamics in stream segments, using hypothesized effects of streamflow magnitude and variability on population processes, conditioned by channel characteristics. The resulting time series simulate spatially explicit, annual changes in species occurrences or assemblage metrics (e.g. species richness) across the catchment as outcomes of management scenarios. Sensitivity analyses using alternative, plausible links between streamflow components and metapopulation processes, or allowing for alternative modes of fish dispersal, demonstrate large effects of ecological uncertainty on model outcomes and highlight needed research and monitoring. Nonetheless, with uncertainties explicitly acknowledged, dynamic, landscape-scale simulations may prove useful for quantitatively comparing river management alternatives with respect to species conservation. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

 

Current Staff

Federal Staff: 3

Masters Students: 11

Phd Students: 11

Post Docs: 3

University Staff: 14

5 Year Summary

Students graduated: 20

Scientific Publications: 80

Presentations: 244

 

Status

Published
July (3rd Quarter/Summer) 2013

Unit Authors

Oregon Cooperative Fish and Wildlife Research Unit Cooperators

  1. Oregon Department of Fish and Wildlife
  2. Oregon State University
  3. U.S. Fish and Wildlife Service
  4. U.S. Geological Survey
  5. Wildlife Management Institute