Sara A Goeking

Utah State University;US Forest Service | PhD student (USU) and Forest Inventory Deputy Program Manager (USFS)

Subject Areas: forest inventory, forest hydrology, disturbance hydrology

 Recent Activity

ABSTRACT:

This resource contains the data and scripts used for:
Goeking, S.A., and Tarboton, D.G. In review. Variable streamflow response to forest disturbance in the western US: A large-sample hydrology approach. Submitted to Water Resources Research.

Abstract from the paper:
Forest cover and streamflow are generally expected to vary inversely because reduced forest cover typically leads to less transpiration. However, recent studies in the western US have found no change or even decreased streamflow following forest disturbance due to drought and insect epidemics. We investigated evidence for cases where forest cover loss leads to decreased streamflow using hydrologic, climatic, and forest data for 159 watersheds in the western US from the CAMELS dataset. Forest change and disturbance were quantified in terms of net tree growth (total growth volume minus mortality volume) and mean annual rate of tree mortality, respectively, from the US Forest Service’s Forest Inventory and Analysis database. Annual water budget components were analyzed using multiple methods: Mann-Kendall trend analysis, time trend analysis to quantify change not attributable to precipitation and temperature, and multiple regression. Many watersheds exhibited decreased annual streamflow even as forest cover decreased. Time trend analysis identified decreased streamflow not attributable to precipitation and temperature changes in many disturbed watersheds, yet streamflow change was not consistently related to disturbance, suggesting that factors other than disturbance, precipitation, and temperature are driving streamflow changes. Finally, multiple regression analysis indicated that although change in streamflow is positively related to tree mortality, the direction of this effect is dependent upon aridity. Specifically, forest disturbances in wet, energy-limited watersheds (i.e., where potential evapotranspiration is less than precipitation) tended to increase streamflow, while post-disturbance streamflow more frequently decreased in dry water-limited watersheds (where the potential evapotranspiration to precipitation ratio exceeds 2.35).

The following scripts (R language and environment for statistical computing) produce the results, figures, and tables in this paper (in the order in which they appear in the paper; requires either running data compilation/aggregation scripts first OR using provided data files watersheds.csv and wb_filtered.csv):
1. Map_watersheds.r
2. Analysis_M-K_trend_test.r
3. analysis_M-K_quadrant_figure.r
4. analysis_timetrend_linear.r
5. analysis_regressn_w-veg.r

The following scripts (R) compile the data, aggregated from other sources prior to the analyses in the scripts listed above:
1. compilation_CAMELS.r
2. compilation_Daymet.r
3. compilation_USGS.r
4. compilation_FIA.r
5. compilation_CAMELS_Daymet_USGS.r (must run scripts #1-3 first)
6. watershed_compilation.r (must run scripts #1-5 first)

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ABSTRACT:

This resource contains a notebook and dataset for testing RHESSys workflows and RHESSys in the CUAHSI Jupyter Hub environment, given custom GIS data inputs (downloaded from HydroTerre) and a USGS gage ID.

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ABSTRACT:

The purpose of this resource is to present all reports and supporting documentation for a term project for CEE 6490. The project objective was to identify a target in-stream flow rate for restoring and maintaining riparian forests in the lower Bear River, Utah, and assess the ability of meeting in-stream flow requirements on other water users.

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ABSTRACT:

This resource contains shapefiles and text/csv files for the Mission Creek basin, Montana, above USGS gage with STAID 12377150. The point shapefile represents the gage location, as identified in the USGS StreamStats online application, and the polygon shapefile is the basin boundary as delineated by StreamStats given the gage location as the outflow. The Mission_Creek_basin.csv contains descriptive information about the watershed, such as percent forest, min/max/mean elevation, precipitation, etc.

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ABSTRACT:

This resource contains shapefiles and text/csv files for the North Fork Sun River basin, Montana, above USGS gage with STAID 06078500. The point shapefile represents the gage location, as identified in the USGS StreamStats online application, and the polygon shapefile is the basin boundary as delineated by StreamStats given the gage location as the outflow. The N-Fk_Sun_River_basin.csv contains descriptive information about the watershed, such as percent forest, min/max/mean elevation, precipitation, etc.

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Resources
All 0
Collection 0
Composite Resource 0
Generic 0
Geographic Feature 0
Geographic Raster 0
HIS Referenced Time Series 0
Model Instance 0
Model Program 0
MODFLOW Model Instance Resource 0
Multidimensional (NetCDF) 0
Script Resource 0
SWAT Model Instance 0
Time Series 0
Web App 0
Composite Resource Composite Resource
An Enhanced Canopy Cover Layer for Hydrologic Modeling
Created: Sept. 22, 2016, 12:40 a.m.
Authors: Sara Goeking

ABSTRACT:

The objective of this project is to develop a canopy-cover raster from point data. The study watershed is the South Fork Flathead River, Montana. Tree canopy cover, as measured at permanent forest monitoring plots, will be modeled as a function of NLCD cover class, PRISM mean annual precipitation, elevation, slope, and aspect. Alternative models will be compared using k-fold cross-validation. The final model will be calibrated with all data points and then applied to the entire study watershed.

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Composite Resource Composite Resource
South Fork Flathead River DEM
Created: Feb. 15, 2017, 4:20 p.m.
Authors: Sara Goeking

ABSTRACT:

This dataset includes the NED 30 m tif for the South Fork Flathead River above Twin Creek.

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Composite Resource Composite Resource
S. Fk. Flathead River data
Created: Feb. 15, 2017, 4:43 p.m.
Authors: Sara Goeking

ABSTRACT:

Data for the South Fork Flathead River above Hungry Horse Reservoir.

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Composite Resource Composite Resource
Teton River, MT
Created: Feb. 20, 2017, 11:48 p.m.
Authors: Sara Goeking

ABSTRACT:

This resource contains shapefiles and text/csv files for the Teton River basin, Montana, above USGS gage with STAID 06102500. The point shapefile represents the gage location, as identified in the USGS StreamStats online application, and the polygon shapefile is the basin boundary as delineated by StreamStats given the gage location as the outflow. The Teton_River_basin.csv contains descriptive information about the watershed, such as percent forest, min/max/mean elevation, precipitation, etc.

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Composite Resource Composite Resource
North Fork Sun River, MT
Created: Feb. 20, 2017, 11:55 p.m.
Authors: Sara Goeking

ABSTRACT:

This resource contains shapefiles and text/csv files for the North Fork Sun River basin, Montana, above USGS gage with STAID 06078500. The point shapefile represents the gage location, as identified in the USGS StreamStats online application, and the polygon shapefile is the basin boundary as delineated by StreamStats given the gage location as the outflow. The N-Fk_Sun_River_basin.csv contains descriptive information about the watershed, such as percent forest, min/max/mean elevation, precipitation, etc.

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Composite Resource Composite Resource
Mission Creek, MT
Created: Feb. 21, 2017, 12:01 a.m.
Authors: Sara Goeking

ABSTRACT:

This resource contains shapefiles and text/csv files for the Mission Creek basin, Montana, above USGS gage with STAID 12377150. The point shapefile represents the gage location, as identified in the USGS StreamStats online application, and the polygon shapefile is the basin boundary as delineated by StreamStats given the gage location as the outflow. The Mission_Creek_basin.csv contains descriptive information about the watershed, such as percent forest, min/max/mean elevation, precipitation, etc.

Show More
Composite Resource Composite Resource

ABSTRACT:

The purpose of this resource is to present all reports and supporting documentation for a term project for CEE 6490. The project objective was to identify a target in-stream flow rate for restoring and maintaining riparian forests in the lower Bear River, Utah, and assess the ability of meeting in-stream flow requirements on other water users.

Show More
Composite Resource Composite Resource
RHESSys testing - Custom data + Gage
Created: March 7, 2018, 3:46 p.m.
Authors: Sara Goeking

ABSTRACT:

This resource contains a notebook and dataset for testing RHESSys workflows and RHESSys in the CUAHSI Jupyter Hub environment, given custom GIS data inputs (downloaded from HydroTerre) and a USGS gage ID.

Show More
Composite Resource Composite Resource

ABSTRACT:

This resource contains the data and scripts used for:
Goeking, S.A., and Tarboton, D.G. In review. Variable streamflow response to forest disturbance in the western US: A large-sample hydrology approach. Submitted to Water Resources Research.

Abstract from the paper:
Forest cover and streamflow are generally expected to vary inversely because reduced forest cover typically leads to less transpiration. However, recent studies in the western US have found no change or even decreased streamflow following forest disturbance due to drought and insect epidemics. We investigated evidence for cases where forest cover loss leads to decreased streamflow using hydrologic, climatic, and forest data for 159 watersheds in the western US from the CAMELS dataset. Forest change and disturbance were quantified in terms of net tree growth (total growth volume minus mortality volume) and mean annual rate of tree mortality, respectively, from the US Forest Service’s Forest Inventory and Analysis database. Annual water budget components were analyzed using multiple methods: Mann-Kendall trend analysis, time trend analysis to quantify change not attributable to precipitation and temperature, and multiple regression. Many watersheds exhibited decreased annual streamflow even as forest cover decreased. Time trend analysis identified decreased streamflow not attributable to precipitation and temperature changes in many disturbed watersheds, yet streamflow change was not consistently related to disturbance, suggesting that factors other than disturbance, precipitation, and temperature are driving streamflow changes. Finally, multiple regression analysis indicated that although change in streamflow is positively related to tree mortality, the direction of this effect is dependent upon aridity. Specifically, forest disturbances in wet, energy-limited watersheds (i.e., where potential evapotranspiration is less than precipitation) tended to increase streamflow, while post-disturbance streamflow more frequently decreased in dry water-limited watersheds (where the potential evapotranspiration to precipitation ratio exceeds 2.35).

The following scripts (R language and environment for statistical computing) produce the results, figures, and tables in this paper (in the order in which they appear in the paper; requires either running data compilation/aggregation scripts first OR using provided data files watersheds.csv and wb_filtered.csv):
1. Map_watersheds.r
2. Analysis_M-K_trend_test.r
3. analysis_M-K_quadrant_figure.r
4. analysis_timetrend_linear.r
5. analysis_regressn_w-veg.r

The following scripts (R) compile the data, aggregated from other sources prior to the analyses in the scripts listed above:
1. compilation_CAMELS.r
2. compilation_Daymet.r
3. compilation_USGS.r
4. compilation_FIA.r
5. compilation_CAMELS_Daymet_USGS.r (must run scripts #1-3 first)
6. watershed_compilation.r (must run scripts #1-5 first)

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