Linking Urban Land Use to Aquatic Metabolism Regimes

Project Summary

A team of students led by researchers at the Duke River Center will develop tools to link water quality and aquatic ecosystem condition to urban and other land uses by combining existing geospatial data including land cover maps, LiDAR, and remotely-sensed images with time series of estimates of ecosystem metabolism found within the StreamPULSE data portal.  Students will develop clustering tools for rapid identification of land use and other gradients that minimize confounding factors, and then will compare metabolic time series along these gradients to identify connections between catchment attributes and the seasonal and stochastic components of ecosystem function.  This work will help Duke researchers determine thresholds of land use (or other catchment characteristics) that protect aquatic ecosystem condition and will also generate generalizable workflows and data infrastructure that supports the scientific community’s use of our open science data portal.

Project Leads: Jim Heffernan, Phil Savoy

Year
2020
Contact
Paul Bendich
Mathematics
bendich@math.duke.edu

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