Sara A. Goeking
507 25th Street
Contact Sara A. Goeking
My work seeks to develop more spatially explicit analyses and novel applications of FIA data that will enhance our understanding of forest dynamics such as mortality, disturbance, and land use/land cover change. Current research projects include:
I am interested in anything geospatial, because nearly all ecological and hydrological processes vary spatially across the landscape. I seek to apply modelling and remote sensing approaches that can expand our forest inventory data beyond forest land to areas such as rangeland and riparian areas in the semi-arid Interior West. Spatially explicit forest monitoring data can also provide a more realistic representation of land cover for evaluating the effects of forest dynamics and forest management on water resources.
My previous research projects included the following:
- Comparison of historical vs. current forest conditions - To understand how forests have changed over the recent decades and continue to change, I developed methods for comparing historical (periodic) versus current (annual) forest inventories, with a focus on differences among various forest types and land management groups.
- Fire effects - Several FIA analysts are collaborating to quantify the effects of fire on basal area among various forest types.
- Field data collection - I was fortunate to serve as an FIA field crew leader when I first came to the Forest Service. My work with the RMRS-FIA Data Collection Team also involved streamlining and expanding the scope of FIA Pre-field workflows so that we now collect basic land use, land cover, and tree canopy cover data on all FIA plots.
- Riparian vegetation and sandbar monitoring - Prior to joining FIA, most of my work focused on spatial analysis of riparian vegetation and sandbar storage in the Colorado River basin, and analysis of multi-temporal surveys and historical air photos to quantify past and current responses to hydroelectric flow regulation in a historical context.
Why This Research is Important
Forest managers, stakeholders, and the general public rely on good science to provide high-quality data on the condition and trends in forests across all lands, and FIA provides that information. The spatial and temporal intensity of FIA's plots allow us to provide forest information that is statistically robust and representative at the landscape level. A tremendous strength of the FIA dataset is the size and spatial representativeness of the sample, with about 35,000 forested plots in the Interior West states. As an FIA analyst, I strive to continually develop innovative analyses that are useful to land managers and other scientists. FIA functions as the nation's forest census by collecting mountains of data, and FIA analysts need to paint those mountains of data as an information landscape that can be easily seen and interpreted by our customers.
- Utah State University, Phd Candidate Watershed Sciences 2017
- Utah State University, M.S. Forest Ecology 2003
- Utah State University, B.S. Environmental Studies and Plant Science 1996
- Society For Conservation Gis, Member (2015 - Current)
- Society of American Foresters, Member (2010 - Current)
Featured Publications & Products
- Goeking, Sara A.; Izlar, Deborah Kay. 2018. Pinus albicaulis Engelm. (whitebark pine) in mixed-species stands throughout its US range: Broad-scale indicators of extent and recent decline.
- Zhao, Feng ; Healey, Sean P.; Huang, Chengquan ; McCarter, James B.; Garrard, Chris ; Goeking, Sara A.; Zhu, Zhiliang . 2018. Assessing the effects of fire disturbance and timber management on carbon storage in the Greater Yellowstone Ecosystem.
- Shaw, John D.; Goeking, Sara A.; Menlove, James; Werstak, Charles E., Jr. 2017. Assessment of fire effects based on Forest Inventory and Analysis data and a long-term fire mapping data set.
- Toone, Maggie G.; Goeking, Sara. 2017. Application of rangeland health indicators on forested plots on the Fishlake National Forest, Utah.
- Goeking, Sara A. 2015. Disentangling forest change from forest inventory change: A case study from the US Interior West.
- Barbosa, P.; Herrera, F.; Goeking, S.; Nieto, V.; Pena, M.; Ortiz, S. 2014. Manual de control de calidad del Inventario Forestal Nacional (IFN) Quality control manual of the National Forest Inventory (NFI).
- Goeking, Sara A.; Izlar, Deborah K.; Edwards, Thomas C. 2018. A landscape-level assessment of whitebark pine regeneration in the Rocky Mountains, USA.
- Shaw, John D.; Menlove, Jim; Witt, Chris; Morgan, Todd A.; Amacher, Michael C.; Goeking, Sara A.; Werstak, Charles E., Jr. 2018. Arizona s forest resources, 2001-2014.
- Thompson, Michael T.; Shaw, John D.; Witt, Chris; Werstak, Charles E., Jr..; Amacher, Michael C.; Goeking, Sara A.; DeRose, R. Justin; Morgan, Todd A.; Sorenson, Colin B.; Hayes, Steven W.; Menlove, Jim. 2017. Colorado's forest resources, 2004-2013.
- Goeking, Sara A.; Menlove, Jim. 2017. New Mexico s forest resources, 2008-2014.
- Menlove, James; Shaw, John D.; Witt, Christopher; Werstak, Charles, Jr.; DeRose, R. Justin; Goeking, Sara A.; Amacher, Michael C.; Morgan, Todd A.; Sorenson, Colin B. 2016. Nevada's forest resources, 2004-2013.
- Werstak, Charles E., Jr..; Shaw, John D.; Goeking, Sara A.; Witt, Christopher; Menlove, James; Thompson, Mike T.; DeRose, R. Justin; Amacher, Michael C.; Jovan, Sarah; Morgan, Todd A.; Sorenson, Colin B.; Hayes, Steven W.; McIver, Chelsea P. 2016. Utah's forest resources, 2003-2012.
- Goeking, Sara A.; Patterson, Paul L. 2015. Redrawing the baseline: a method for adjusting biased historical forest estimates using a spatial and temporally representative plot network.
- Goeking, Sara A.; Izlar, Deborah K. 2015. Using landscape-level forest monitoring data to draw a representative picture of an iconic subalpine tree species.
- Goeking, S.; Izlar, D. 2014. Natural regeneration of whitebark pine: Factors affecting seedling density.
- Goeking, Sara A.; Shaw, John D.; Witt, Chris; Thompson, Michael T.; Werstak, Charles E., Jr..; Amacher, Michael C.; Stuever, Mary; Morgan, Todd A.; Sorenson, Colin B.; Hayes, Steven W.; McIver, Chelsea P. 2014. New Mexico's forest resources, 2008-2012.
- Goeking, Sara A.; Patterson, Paul L. 2013. Stratifying to reduce bias caused by high nonresponse rates: A case study from New Mexico s forest inventory.
- Goeking, Sara A.; Liknes, Greg C.; Lindblom, Erik; Chase, John; Jacobs, Dennis M.; Benton, Robert. 2012. A GIS-based tool for estimating tree canopy cover on fixed-radius plots using high-resolution aerial imagery.
- Patterson, Paul L.; Goeking, Sara A. 2012. Estimators used in the New Mexico inventory: practical implications of "truly" random nonresponse within each stratum.
- Witt, Chris; Shaw, John D.; Thompson, Michael T.; Goeking, Sara A.; Menlove, Jim; Amacher, Michael C.; Morgan, Todd A.; Werstak, Charles, Jr. 2012. Idaho's Forest Resources, 2004-2009.
- Goeking, Sara A.; Liknes, Greg C. 2012. Is lodgepole pine mortality due to mountain pine beetle linked to the North American Monsoon.
- Goeking, Sara A. 2012. Potential applications of prefield land use and canopy cover data: Examples from nonforest and nonsampled forest inventory plots.
- Goeking, Sara A. 2012. Trends in standing biomass in Interior West forests: Reassessing baseline data from periodic inventories.
- Liknes, Greg C.; Woodall, Christopher W.; Walters, Brian F.; Goeking, Sara A. 2012. Unlocking the climate riddle in forested ecosystems.
- Goeking, Sara A.; Liknes, Greg C. 2009. The role of pre-field operations at four forest inventory units: We can see the trees, not just the forest.
Citations of non US Forest Service Publications
- Schmidt, J.C., Topping, D.J., Rubin, D.M., Hazel, J.E., Jr., Kaplinski, M., Wiele, S.M., and Goeking, S.A., 2007. Streamflow and sediment data collected to determine the effects of low summer steady flows and habitat maintenance flows in 2000 on the Colorado River between Lees Ferry and Bright Angel Creek, Arizona: U.S. Geological Survey Open-File Report 2007-1268, 79 p. [http://pubs.usgs.gov/of/2007/1268/]
Grams, P.E., J.C. Schmidt, D.J. Topping, and S.A. Goeking, S., 2004. The degraded reach: rate and pattern of bed and bank adjustment of the Colorado River in the 25 km immediately downstream from Glen Canyon Dam. Technical report to the USGS Grand Canyon Monitoring and Research Center, 111 p.
Goeking, S.A., 2003. Long-term dynamics of riparian vegetation, and their relation to hydrology and geomorphology, along the Green River in the Uintah Basin. Masters Thesis, Utah State University, Logan.
Goeking, S.A., J.C. Schmidt, and M.K. Webb, 2003. Spatial and temporal trends in the size and number of backwaters between 1935 and 2000, Marble and Grand Canyons, Arizona. Technical report to USGS Grand Canyon Monitoring and Research Center, 15 p.
Schmidt, J. C., S.A. Goeking, D.J. Topping, D. Rubin, B. Lockwood, J.E. Hazel, M. Kaplinski, S. Wiele, and M. Franseen, 2003. Stream flow and sediment data collected to determine the effects of low summer steady flows and habitat maintenance flows in 2000 on the Colorado River between Lees Ferry and Bright Angel Creek, Arizona. Technical report to the USGS Grand Canyon Monitoring and Research Center, 54 p.
Schmidt, J.C., D.J. Topping, S.A. Goeking, H. Sondossi, J.E. Hazel, and P.E. Grams, 2002. System-wide changes in the distribution of fine-grained alluvium in the Colorado River corridor between Lees Ferry and Bright Angel Creek, Arizona, 1980s to 2001. Technical report to the USGS Grand Canyon Monitoring and Research Center, 86 p.
Birchell, G.J., K. Christopherson, C. Crosby, T.A. Crowl, J. Gourley, M. Townsend, S. Goeking, T. Modde, M. Fuller, and P. Nelson, 2002. The levee removal project: assessment of floodplain habitat restoration in the middle Green River. Final report. Upper Colorado River Endangered Fish Recovery Program Project CAP-6-LR. Utah Division of Wildlife Resources, Salt Lake City. 257 pages + appendices.
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