Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example

Geological Society of London Special Publications
By: , and 

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Abstract

We present a hierarchical series of spatially decreasing and temporally increasing models to evaluate the uncertainty in the atmosphere – ocean global climate model (AOGCM) and the regional climate model (RCM) relative to the uncertainty in the somatic growth of the endangered pallid sturgeon (Scaphirhynchus albus). For effects on fish populations of riverine ecosystems, cli- mate output simulated by coarse-resolution AOGCMs and RCMs must be downscaled to basins to river hydrology to population response. One needs to transfer the information from these climate simulations down to the individual scale in a way that minimizes extrapolation and can account for spatio-temporal variability in the intervening stages. The goal is a framework to determine whether, given uncertainties in the climate models and the biological response, meaningful inference can still be made. The non-linear downscaling of climate information to the river scale requires that one realistically account for spatial and temporal variability across scale. Our down- scaling procedure includes the use of fixed/calibrated hydrological flow and temperature models coupled with a stochastically parameterized sturgeon bioenergetics model. We show that, although there is a large amount of uncertainty associated with both the climate model output and the fish growth process, one can establish significant differences in fish growth distributions between models, and between future and current climates for a given model.

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Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example
Series title Geological Society of London Special Publications
DOI 10.1144/SP408.11
Volume 408
Year Published 2017
Language English
Publisher Geological Society of London
Contributing office(s) Columbia Environmental Research Center
Description 27 p.
Larger Work Title Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges
First page 119
Last page 145
Country United States
Other Geospatial Missouri River basin
Online Only (Y/N) N
Additional Online Files (Y/N) N