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This project outlines the creation of an Index of Riparian Integrity for Austin, TX, using aerial photography and land use data to assess and prioritize riparian areas based on water quality, sediment stability, and vegetation scores. The model includes various environmental integrity indicators and explanatory variables to evaluate the health of riparian ecosystems. Model selection and results are discussed, focusing on factors like woody vegetation and drainage area sizes. Key rivers assessed are Buttermilk Creek, Williamson Creek, Shoal Creek, Onion Creek, and Bee Creek.
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Development of a Regional Scale Tool to Assess Riparian Integrity in Austin, Texas Society for Ecological Restoration, Texas Chapter & Texas Riparian Association November 2, 2013 Aaron Richter City of Austin, Watershed Protection Department
Outline • Index of Riparian Integrity • City of Austin Riparian Assessments • Building the Model • Integrity Indicator • Variables • Spatial Component • Model Selection • Model Results • Questions
Index of Riparian Integrity (IRI) Macro-scale model based on aerial photography and land use data to assess and quantify the riparian integrity in Austin, TX
City of Austin Assessment and Prioritization of Riparian Areas • Assessment includes water quality, sediment stability, and riparian vegetation scores • Assessment performed at one site for an entire reach
Model Environmental Integrity Indicator Explanatory Variables: Landscape Values Error Weighting Matrix y = X
Model Index Environmental Integrity Indicator y = X
Model Explanatory Variables: Landscape Values y = X
LITTLE BARTON CREEK Robust Vegetation Sparse Vegetation Shadow Impervious Cover Woody Vegetation Water
LITTLE BARTON CREEK Multi Family Single Family Community Agriculture/Undev Manufacturing Utilities/Roads Office Park/Preserve Commercial
Model Weighting Matrix y = X
LITTLE BARTON CREEK LBA2 LBA3 LBA1
Model Selection Single variable of most significance was Woody Vegetation in the 50ft buffer in small drainage areas (64-320 acres). General Linear Models were compared via BIC, Adjusted R2 Multicollinearity and model diagnostics were compared for top models
Model Parameters *Small = 64-320acres, Medium = 320-640acres, Large = >640acres
Poor [25-37] Marginal [38-50] No Score Very Good [76-87] Good [63-75] Fair [51-62]
Acknowledgements • Mateo Scoggins and Surface Water Team • City of Austin, Environmental Resource Mgmt. • Jon Meade and Kathryn Murray • City of Austin, Policy and Planning