@article {83222,
	title = {Coherence among Oregon Coast coho salmon populations highlights increasing relative importance of marine conditions for productivity},
	journal = {Fisheries Oceanography},
	volume = {32},
	number = {3},
	year = {2023},
	note = {Anadromous fish like salmon have to live in two worlds:  freshwater and the ocean. The scales of these two worlds are quite different: the freshwater environment works at the scale of a single stream, and environmental changes or stressors at the stream level affect a single population of fishes.  On the other hand, oceanic changes or stressors cam affect broad regions or entire evolutionary significant units. By analyzing stock recruitment data for about sixty years along the Oregon Coast, some patterns become clear.  Over this period, there have been significant changes in how fisheries are managed, from riparian buffers in forested lands to adding large woody debris to denuded streams. Despite these changes, it seems that oceanic conditions, especially the North Pacific Gyre Oscillation, which has dominated the marine environment since 1990, are determining population levels, rather than conservation efforts at the stream level. {\textquotedblleft}If Oregon Coast coho salmon populations become more synchronous, managers can expect to face new challenges driven by reductions in the population portfolio effect and increasingly variable marine conditions due to climate change{\textquotedblright} (from the Abstract).},
	month = {2023,, May},
	pages = {p.293-310},
	keywords = {Alsea River, Beaver Creek, climate, Coho salmon = Oncorhynchus kisutch, ecosystem health, mathematical modeling, North Pacific Gyre Oscillation, Oregon Coast, Pacific Decadal Oscillation, population biology, Productivity, Salmon River Estuary, Siletz River, Siuslaw River, Umpqua River, Yaquina River},
	doi = {https://doi.org/10.1111/fog.12630 },
	author = {Davis, Melanie J. and Anthony, James and Ward, Eric J. and Firman, Julie and Lorion, Christopher}
}
@article {83132,
	title = {UPRLIMET: UPstream Regional LiDAR Model for Extent of Trout in stream networks},
	journal = {Scientific Reports (Nature Publishing Group)},
	volume = {12},
	number = {20266},
	year = {2022},
	note = {{\textquotedblleft}In conclusion, we offer a prediction model development and evaluation framework for how to systematically consider the upper distribution limit of fish that could be broadly applied to watersheds and fishes. Distribution boundaries are fundamental for species conservation as well as for understanding how species might respond to environmental change; policy makers and managers reference distribution maps to determine management decisions, policies, and regulations.{\textquotedblright} (p.12) },
	month = {2022},
	pages = {15 p.},
	keywords = {Coffee Creek (Rogue), Ecola Creek, Fairy Creek, geographic distribution, Limpy Creek, mathematical modeling, North Fork Umpqua River, Panther Creek, temporal distribution, Umpqua River Basin, West Fork Smith River},
	doi = {https://doi.org/10.1038/s41598-022-23754-0 },
	author = {Penaluna, Brooke E. and Burnett, Jonathan D. and Christiansen, Kelly and Arismendi, Ivan and Johnson, Sherri L. and Griswold, Kitty and Holycross, Brett and Kolstoe, Sonja H.}
}
@article {83129,
	title = {Abundance trends for adult Pacific lamprey in western Oregon (USA): Historic declines, recent increases, and relative contributions from coastal rivers},
	journal = {Transactions of the American Fisheries Society},
	volume = {150},
	number = {6},
	year = {2021},
	note = {Pacific lamprey is an anadromous species, spending most of its life in the ocean, but returning to coastal streams to spawn.  In general, lamprey counts at dams tend to show steep declines in lamprey populations.  How accurate is this information?  The authors contrast dam counts with redd surveys in coastal streams and come up with a different conclusion.  },
	month = {2021, Nov.},
	pages = {p.761-776},
	keywords = {abundance, Bonneville Dam, Columbia River, depleted populations, Gold Ray Dam, mathematical modeling, North Umpqua River, Pacific lamprey = Entosphenus tridentatus (Lampetra tridentata), population count, Rogue River, Umpqua River, Winchester Dam},
	doi = {https://doi.org/10.1002/tafs.10326 },
	author = {Clemens, Benjamin J. and Weeber, Matthew A. and Lewis, Mark and Jones, Michelle}
}
@article {83047,
	title = {Characteristic scales of drainage reorganization in Cascadia},
	journal = {Geophysical Research Letters},
	volume = {48},
	number = {3},
	year = {2021},
	note = {The organization of river basins varies over geologic time.  Tectonic forces, uplift and erosion can cause a stream to be {\textquotedblleft}captured{\textquotedblright} by a neighboring river basin.  Stream captures are relatively common in the Oregon Coast Range.  In this most interesting article, the authors describe a process of modeling stream networks at different geographic scales. {\textquotedblleft}Integration of these {\textquoteleft}synthetic{\textquoteright} drainage networks into a margin-parallel river system, similar to the modern Willamette Valley, supports field observations of stream capture and river network reorganization. We propose that these methods are useful for predicting future drainage configurations and isolating the relevant tectonic processes responsible for changing river networks{\textquotedblright} (from the Abstract). This is an open-access article.},
	month = {2021, Feb.16 },
	pages = {e2020GL091413},
	keywords = {Columbia River, Cow Creek, geography, geology, Klamath River, mathematical modeling, paleosciences, Rogue River, Siletz River, South Umpqua River, topography, Umpqua River Basin, Yaquina River},
	doi = {https://doi.org/10.1029/2020GL091413},
	url = {https://www.sciencedirect.com/science/article/pii/S1470160X20311067?via\%3Dihub },
	author = {Struble, William T. and Roering, Joshua J. and Dorsey, Rebecca J. and Bendick, Rebecca}
}
@mastersthesis {83071,
	title = {Evolution of Cascadia Landscapes: Drainage Reorganization Inferred from Topographic Transformations and Dendrochronological Dating of Landslide-Dammed Lakes},
	year = {2021},
	note = {This doctoral dissertation begins by examining the question of dating past landslides in the Oregon Coast Range.  Although it is assumed that the famous earthquake of 1700 C.E. caused many landslides, no landslide has been definitely dated to that event.  The author examines two coastal lakes formed by landslides, Wasson and Klickitat Lakes, and using Carbon14 dating and evidence from tree rings, dates them to the winters of 1819/1820 and 1751/1752, respectively.  He also dates other landslides to major precipitation events. The dissertation ends with a look at stream networks and the phenomenon of streams being captured by neighboring basins.},
	pages = {142 p.},
	school = {University of Oregon},
	type = {Doctoral dissertation},
	edition = {Ph. D.},
	chapter = {Dept. of Earth Sciences},
	address = {Eugene, Or.},
	keywords = {coastal hazards, dendrochronology, earthquakes, erosion, geography, geology, Klickitat Lake, landslides, mathematical modeling, North Fork Alsea River, paleosciences, precipitation, Smith River, topography, Umpqua River Basin, Wasson Lake},
	url = {https://scholarsbank.uoregon.edu/xmlui/handle/1794/26189 },
	author = {Struble, William Truin}
}
@article {83046,
	title = {Shifting signals: Correlations among freshwater, marine and climatic indices often investigated in Pacific salmon studies},
	journal = {Ecological Indicators},
	volume = {121},
	number = {Article 10716},
	year = {2021},
	note = {This article is about the correlations and cross-connections between different environmental indices, and how they can be better used to understand environmental conditions in a changing climate.  The authors used 43 freshwater, marine and climate indices to examine 72 river sites in Washington, Oregon, California and Idaho. {\textquotedblleft}As the climate continues to change, it becomes more evident that maintaining a mindset encompassing static processes limits our abilities to explain patterns among environmental indices. This recognition in the context of multiple climatic teleconnections will help foster the development and utility of more resilient methodological approaches that account for changing correlations{\textquotedblright} (p.17). This is an open-access article.},
	month = {2021, Feb.},
	pages = {18 p.},
	keywords = {Alsea River, California Current, Chinook salmon = Oncorhynchus tshawytscha, climate, Coho salmon = Oncorhynchus kisutch, Coquille River, environmental monitoring, Lower Umpqua River, mathematical modeling, North Fork Nehelem River, Siletz River, South Umpqua River},
	doi = {https://doi.org/10.1016/j.ecolind.2020.107167 },
	url = {https://www.sciencedirect.com/science/article/pii/S1470160X20311067?via\%3Dihub},
	author = {Gosselin, Jennifer L. and Crozier, Lisa G. and Burke, Brian J}
}
@article {82988,
	title = {Bias and consequences in attempts to estimate historical salmon abundance},
	journal = {Canadian Journal of Fisheries and Aquatic Sciences   },
	volume = {77 },
	number = {1},
	year = {2020},
	note = {Were salmon more abundant in the {\textquotedblleft}good old days,{\textquotedblright} or have fisheries scientists over-estimated their abundance in the past?  This article is a critique of previous methods of estimating the abundance of coho salmon before the environmental stresses of recent years.  The authors claim that, {\textquotedblleft}the revised simulations indicate that Oregon Coast coho abundance during 1892-1956 probably varied within a range similar to recent decades{\textquotedblright} (from the abstract). This work was primarily funded by the Oregon Forest Industries Council and the American Forest Resource Council. },
	month = {2020, Jan.},
	pages = {p.132-145},
	keywords = {abundance, Coho salmon = Oncorhynchus kisutch, commercial fisheries {\textendash} salmon, historical, mathematical modeling, recreational fisheries {\textendash} salmon, statistical analysis},
	doi = {https://doi.org/10.1139/cjfas-2018-0467 },
	author = {Cramer, Steven P. and Caldwell, Lucius K.}
}
@article {83045,
	title = {Climate change vulnerability assessment for Pacific Lamprey in rivers of the Western United States},
	journal = {Journal of Freshwater Ecology},
	volume = {35},
	number = {1},
	year = {2020},
	note = {The authors used a climate modeling program to explore the impacts of a range of predicted climate changes on 15 river basins in Oregon, Washington, California and Idaho, including the Necanicum and Umpqua river basins on the Oregon Coast.  {\textquotedblleft}Our results reveal that the Umpqua HUC consistently exhibited the highest level of climate change vulnerability. . . In the Umpqua, actions that can increase flow, create backwater habitat, restore riparian vegetation that increases stream shading (leading to decreased stream temperature) . . . and reduce stream and floodplain degradation may have a higher likelihood of mitigating the increasing risk from climate change impacts{\textquotedblleft} (p.51).  This is an open-access article.},
	pages = {p.29-55},
	keywords = {air temperature, climate change, habitat restoration, human impacts, mathematical modeling, Necanicum River, Pacific lamprey = Entosphenus tridentatus (Lampetra tridentata), precipitation, streamflow, Umpqua River Basin, water temperature},
	doi = {10.1080/02705060.2019.1706652 },
	url = {https://www.tandfonline.com/doi/full/10.1080/02705060.2019.1706652 },
	author = {Wang, Christina J. and Schaller, Howard A. and Coates, Kelly C. and Hayes, Michael C. and Rose, Robert K.}
}
@article {83043,
	title = {Developing novel robust models to improve the accuracy of daily streamflow modeling.},
	journal = {Water Resources Management},
	volume = {34},
	year = {2020},
	note = {In this article, the authors discuss different methods for enhancing models of daily streamflow, using two sites in Canada and two sites in the United States, including the hydrologic station at Elkton.  Proposed boosted models showed improvement over classic multi-layer perception and time series models.},
	pages = {p.3387-3409},
	keywords = {Elkton (Or.), hydrology, mathematical modeling, neural networks, precipitation, streamflow, Umpqua River},
	doi = {https://doi.org/10.1007/s11269-020-02619-z  },
	author = {Mohammadi, Babak and Ahmadi, Farshad and Mehdizadeh, Saeid and Guan, Yiqing and Pham, Quoc Bao and Linh, Nguyen Thi Thuy and Tri, Doan Quang}
}
@article {83038,
	title = {Mapping landslides on EO data: performance of deep learning models vs. traditional machine learning models},
	journal = {Remote Sensing},
	volume = {12},
	number = {3},
	year = {2020},
	note = {Contemporary science has revolutionized the mapping of landslides.  Using Earth Observation images from satellites, researchers have access to high-resolution imagery.  Much effort has gone into teaching computers how to {\textquotedblleft}read{\textquotedblright} myriad images and identify features such as landslides.  This article introduces a method for identifying landslides with computers and compares it to the Statewide Landslide Information Database for Oregon (SLIDO).  The study area covers land from Coos Bay to Eugene, including much of the Smith River and the Lower Umpqua River.  Illustrated.  This is an open-access article.},
	pages = {p.346-370 },
	keywords = {coastal hazards, geology, landslides, machine learning, map, mathematical modeling, neural networks, remote sensing, Smith River, Umpqua River},
	doi = {https://doi.org/10.3390/rs12030346 },
	url = {https://www.mdpi.com/2072-4292/12/3/346/pdf },
	author = {Prakash, Nikhil and Manconi, Andrea and Loew, Simon}
}
@mastersthesis {83137,
	title = {Analysis of Fire Severity in Southwestern Oregon Using Aerial LiDAR},
	year = {2019},
	note = {In this Master{\textquoteright}s thesis, the author uses Light Imaging and Detection (LIDAR) data taken before the 2017-2018 Rogue-Umpqua forest fires in order to estimate the severity of the fires. The author found that principal component analysis models were the most accurate predictors of fire severity.},
	pages = {53 p.},
	school = {Oregon State University},
	type = {Masters Thesis},
	edition = {M.S.},
	chapter = {Dept. of Forest Engineering, Resources and Management, Sustainable Forest Management},
	address = {Corvallis, Or.},
	keywords = {climate, forest fires, High Cascades Complex fires, mathematical modeling, North Umpqua River, remote sensing, Rogue River, Siskiyou Mountains, South Umpqua Complex fires, South Umpqua River, Umpqua North Complex fires, Umpqua River},
	url = {https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g445cm49x },
	author = {Wolken, Karin M.}
}
@article {83010,
	title = {Density and population viability of coastal marten: a rare and geographically isolated small carnivore},
	journal = {PeerJ {\textendash} Life \& Environment},
	volume = {6},
	number = {e4530 },
	year = {2018},
	note = {To the surprise of many, a small population of Pacific martens has been discovered living along the Oregon coast, west of Highway 101 in coastal dune forests.  This population is divided into two parts bisected by the Umpqua River and is relatively isolated. The authors live-trapped and collared adults as part of the study.  The Oregon Dunes turned out to support the smallest home ranges and highest population density of martens in all North America. Prospects for the long-term survival of this group are not good.  The authors suggest that banning trapping of coastal martens would help their future survival.  Maps, photographs.},
	month = {2018, Apr. 4},
	pages = {21 p.},
	keywords = {Coos River, fecundity, human impacts, mathematical modeling, Oregon Dunes Recreational Area, Pacific marten = Martes caurina humboldtensis, population biology, Siuslaw River, Umpqua River},
	doi = {https://doi.org/10.7717/peerj.4530},
	url = {https://peerj.com/articles/4530 },
	author = {Linnell, Mark A. and Moriarty, Katie and Green, David S. and Levi, Taal}
}
@article {82506,
	title = {Detecting the effects of management regime shifts in dynamic environments using multi-population state-space models},
	journal = {Biological Conservation},
	volume = {221},
	year = {2018},
	note = {Oregon populations of wild coho salmon were in decline until they were listed by the Federal Government as threatened populations in 1998.  Subsequent efforts to restore coho included reducing hatchery production, restoring habitats and cutting allowable harvests. At the same time, ocean conditions improved, favoring adult salmon survival. In this paper, the authors{\textquoteright} objective {\textquotedblleft}was to assess change in the freshwater production of juvenile production of juveniles (smolts) through time in order to determine if recent increases in adult abundance could be related to management affecting the freshwater juvenile production{\textquotedblright} (from the Abstract).   Interestingly, the authors did not find any improvement in the survival of juvenile fish per spawning salmon. Instead, they attribute the rebound in coho population to improved ocean conditions.  Various aspects of this complex fishery management issue are discussed.},
	month = {2018, May},
	pages = {p.34-43},
	keywords = {Alsea River Basin, Beaver Creek, Coho salmon = Oncorhynchus kisutch, Coos River Basin, depleted populations, habitats, human impacts, juvenile fish, Lower Umpqua River Basin, mathematical modeling, natural resource management, Nehalem River Basin, Siletz River Basin, statistical analysis, Yaquina River Basin},
	doi = {https://doi.org/10.1016/j.biocon.2018.02.026 },
	author = {Falcy, Matthew R. and Suring, Erik}
}
@article {83099,
	title = {The impact of persistent dynamics on suspended sediment load estimation},
	journal = {Geomorphology},
	volume = {322},
	year = {2018},
	note = {The largest source of material transported from the land to the ocean comes through sediment flow in rivers, mostly from small mountain rivers.  Sediment transport is important in shaping coastal landforms, plays an important role in global carbon cycling, and transports pollutants.  This article focuses on West Coast streams from Washington to California, and looks at persistent factors influencing sediment load.  Particularly surprising were lingering effects of the Great Christmas Floods of 1964.},
	pages = {p.132-147},
	keywords = {climate, flooding, hydrology, Klamath River, mathematical modeling, Rogue River, sediments, Siuslaw River, Smith River, South Umpqua River, Umpqua River},
	doi = {http://doi.org/10.1016/jgeomorph.2018.09.001 },
	author = {Gray, Andrew B.}
}
@article {77171,
	title = {Evaluation of probabilistic sampling designs for estimating abundance of multiple species of migratory fish using video recordings at fishways},
	journal = {North American Journal of Fisheries Management},
	volume = {5},
	number = {4},
	year = {2015},
	note = {{\textquotedblleft}Fifteen years of video census data from a fishway at Winchester Dam on the North Umpqua River, Oregon, were used to evaluate sampling designs to estimate abundance of spring- and fall-run Chinook Salmon Oncorhynchus  tshawytscha, summer- and winter-run steelhead O.  mykiss , Coho Salmon O.  kisutch, and Pacific Lamprey Entosphenus tridentatus.{\textquotedblright} (from the Abstract)},
	pages = {p.818-826},
	keywords = {abundance, Chinook salmon = Oncorhynchus tshawytscha, Coho salmon = Oncorhynchus kisutch, mathematical modeling, North Umpqua River, Pacific lamprey = Entosphenus tridentatus, population count, statistics, steelhead trout = Oncorhynchus mykiss, Umpqua River, Winchester Dam},
	doi = {DOI: 10.1080/02755947.2015.1040562},
	author = {McCormick, Joshua L. and Jackson, Laura S. and Carr, Fabian M. and Meyer III, Daniel H.}
}
@article {77151,
	title = {Modeling of Chinook Salmon Runs on the North Umpqua River},
	year = {2015},
	note = {This is a collection of papers, presentations and data files reflecting an undergraduate research project at Oregon State University.  The project focuses on Spring run Chinook salmon in the Umpqua River.  Runs at present are 6-7\% of historical amounts.  Accurate data and good models are important and can be used to help determine {\textquotedblleft}preferable water conditions during their upstream migration on the Umpqua River.{\textquotedblright} (from the Abstract)},
	address = {Corvallis, Or.},
	keywords = {Chinook salmon = Oncorhynchus tshawytscha, mathematical modeling, North Umpqua River, population count, Umpqua River, Winchester Dam},
	url = {https://ir.library.oregonstate.edu/concern/defaults/rx913r43j},
	author = {Jordan, Scott}
}
@article {52146,
	title = {Finding appropriate bias correction methods in downscaling precipitation for hydrologic impact studies over North America},
	journal = {Water Resources Research},
	volume = {49},
	year = {2013},
	note = {This is a technical discussion of how hydrologic models can be improved by various statistical techniques. The authors ran raw regional climate model precipitation data with a hydrologic simulation, and then tried different methods of correcting input precipitation data for ten different North American rivers.   It turns out that the Umpqua River raw regional climate model data worked well with the hydrologic model, and additional corrections were not needed for the simulation to approximate reality. },
	pages = {p.4187-4205},
	keywords = {hydrology, mathematical modeling, precipitation, Umpqua River},
	doi = {doi:10.1002/wrcr.20331},
	author = {Chen, Jie and Brissette,Francois and Chaumont, Diane and Braun, Marco}
}
@article {54631,
	title = {Tsunami inundation scenarios for Oregon},
	volume = {no. O-13-19},
	year = {2013},
	note = {This technical document accompanies the 2013 tsunami inundation map series for coastal Oregon.  It describes the methodology used to produce the maps.  In addition to the report, the CD includes GIS shapefiles with embedded metadata.},
	pages = {17 p.},
	institution = {Oregon Department of Geology and Mineral Industries},
	address = {Portland, Or.},
	keywords = {coastal hazards, earthquakes, general, maps, mathematical modeling, Oregon, tsunamis},
	url = {https://www.oregongeology.org/pubs/ofr/O-13-19.pdf},
	author = {Priest, George R. and Witter, Robert C. and Zhang, Y. Joseph and Wang, Kelin and Goldfinger, Chris and Stimely, Laura L. and English, John T. and Pickner, Sean G. and Hughes, Kaleena L. B. and Wille, Taylore E. and Smith, Rachel L. and Oregon. Department of Geology and Mineral Industries,}
}
@article {26946,
	title = {iTree-Hydro:  snow hydrology update for the urban forest hydrology model},
	journal = {Journal of the American Water Resources Association},
	volume = {47},
	number = {6},
	year = {2011},
	note = {This article discusses a software program that allows scientists to predict snowmelt and its effects on streamflow in a forested setting.  Chart (p.1216) shows predicted and actual snow water equivalent in the Umpqua National Forest from November 26, 1996 to April 21, 1997.},
	month = {2011, Dec.},
	pages = {p.1211-1218},
	keywords = {climate, hydrology, mathematical modeling, precipitation, streamflow, Umpqua National Forest, Umpqua River Basin},
	doi = {10.1111/j.1752-1688.2011.00564.x},
	author = {Yang, Yang and Endreny, Theodore A. and Nowak, David J.}
}
@article {26831,
	title = {Comparison of different daily streamflow series in US and China, under a viewpoint of complex networks},
	journal = {Modern Physics letters. B, Condensed Matter Physics, Statistical Physics, Applied Physics},
	volume = {24},
	number = {14},
	year = {2010},
	note = {This article is for the technician.  "We find that the degree distribution of the Umpqua River series network, the Ocumlgee River series network and the subsequence of the Yangtze River series network can be better fitted by stretched exponential distribution (SED), although the degree distribution curves of these networks in a log{\textendash}log plot have a linear part." (from the Abstract)  Includes charts.},
	month = {2010, Jun.},
	pages = {p.1541-1547},
	keywords = {Elkton, hydrology, mathematical modeling, Ocmulgee River, streamflow, Umpqua River, Yangtze River},
	doi = {10.1142/S0217984910023335},
	author = {Tang, Qiang and Liu, Jie and Liu, Hongling}
}
@article {54861,
	title = {Mobility statistics and automated hazard mapping for debris flows and rock avalanches},
	volume = {no.2007-5276},
	year = {2008},
	note = {{\textquotedblleft}Revised April 24, 2014.{\textquotedblright} This publication discusses use of a computer program originally designed to predict damage from volcanic lahar debris flows.  In this case, the program is modified for areas that are susceptible to precipitation-induced mud or debris flows. The Scottsburg area was chosen as a test site.  {\textquotedblleft}In the south-central Oregon Coast Range, {\textellipsis} the town of Scottsburg and the Rock Creek-Hubbard Creek watershed {\textellipsis} in southern Douglas County, Oregon, became infamous when two debris flows caused five fatalities between November 17 and 19, 1996. The deaths were the result of debris flows inundating a home, overtaking a pedestrian, and pushing a car off the road{\textellipsis}{\textquotedblright}  (p.22)  It is good to know that this work was done, and the criteria for debris flows starting (steepness of slope and area of steep slopes) are interesting.  },
	pages = {59 p.},
	institution = {U.S. Dept. of the Interior. U.S. Geological Survey},
	address = {Reston, Va. },
	keywords = {coastal hazards, erosion, Hubbard Creek, landslides, mathematical modeling, precipitation, Rock Creek, Scottsburg, Umpqua River, Umpqua River Basin},
	url = {https://pubs.usgs.gov/sir/2007/5276/},
	author = {Griswold, Julia P. and Iverson, Richard M.}
}
@book {26086,
	title = {Umpqua River Fall Chinook Salmon Escapement Indicator Project: 1998 - 2002. Cumulative Progress Report},
	year = {2003},
	note = {The authors were confident in their ability to estimate spawner abundance in the South Umpqua / Cow Creek part of the basin, they were less satisfied with their results for the rest of the Umpqua River Basin. They wanted more tagging of fall Chinook salmon in the mainstem of the river.},
	month = {2003},
	pages = {41 p.},
	publisher = {Oregon Department of Fish and Wildlife, Marine Resources Program},
	organization = {Oregon Department of Fish and Wildlife, Marine Resources Program},
	address = {Newport, Or.},
	keywords = {Chinook salmon = Oncorhynchus tshawytscha, Cow Creek, fecundity, mathematical modeling, natural resource management, population biology, population count, reproductive behavior, South Umpqua River, Umpqua River, Umpqua River Basin},
	url = {https://www.dfw.state.or.us/MRP/publications/docs/salmon_2.pdf},
	author = {Moyers, Sam and White, Jody and Riggers, Brian and Williams, Mari and Sheely, Chris and Weeks, Hal}
}
@book {25896,
	title = {Little River Watershed TMDL. Appendix A : Little River Stream Temperature Model},
	year = {2001},
	month = {2001, Dec},
	publisher = {Oregon Department of Environmental Quality},
	organization = {Oregon Department of Environmental Quality},
	address = {[Portland, Or.]},
	keywords = {Black Creek, Cavitt Creek, Clover Creek, Emile Creek, Hemlock Creek, hydrology, Little River, mathematical modeling, North Umpqua River, terrestrial vegetation, water quality, water temperature, White Creek, Wolf Creek},
	url = {https://digital.osl.state.or.us/islandora/object/osl\%3A34988},
	author = {Oregon. Dept. of Environmental Quality Western Region,}
}
@book {25891,
	title = {Little River Watershed TMDL. Appendix B : Little River pH Model},
	year = {2001},
	note = {Discusses buffering effects of periphyton on the river{\textquoteright}s pH level.},
	month = {2001, Dec.},
	publisher = {Oregon Dept. of Environmental Quality},
	organization = {Oregon Dept. of Environmental Quality},
	address = {[Portland, Or.]},
	keywords = {algae, Cavitt Creek, Little River, mathematical modeling, North Umpqua River, pH data, water temperature},
	url = {https://digital.osl.state.or.us/islandora/object/osl\%3A34989},
	author = {Oregon. Dept. of Environmental Quality,}
}
@book {25361,
	title = {Stock-recruitment in summer-run steelhead of the North Umpqua River, Oregon},
	series = {Information Reports (Oregon. Fish Division)},
	number = {94-5},
	year = {1994},
	note = {This report examines the relationships between wild and hatchery steelhead trout in the North Umpqua River, and compares the threat to wild trout from recreational fishers versus hatchery trout. Hatchery trout were a greater source of concern.},
	month = {1994},
	pages = {36 p.},
	publisher = {Fish Division, Oregon Dept. of Fish and Wildlife},
	organization = {Fish Division, Oregon Dept. of Fish and Wildlife},
	address = {Portland, Or.},
	keywords = {Boulder Creek, Canton Creek, catch statistics, Copeland Creek, Diamond Lake, hatcheries, hatchery salmonids, Little River, mathematical modeling, natural resource management, North Umpqua River, population biology, population count, recreational fisheries, Rock Creek, Soda Springs Dam, Steamboat Creek, steelhead trout = Oncorhynchus mykiss, wild salmonids, Winchester Dam},
	url = {https://digital.osl.state.or.us/islandora/object/osl:18446},
	author = {McGie, Alan M.}
}
@book {25111,
	title = {Urban storm runoff in the Roseburg Area, Oregon, as related to urban flood characteristics of the Willamette Valley},
	series = {Water-Resources Investigations Report / U.S. Geological Survey},
	number = {91-4063},
	year = {1991},
	note = {"Techniques are provided for estimating flood magnitudes for streams in the urbanized parts of the Roseburg, Oregon area for exceedance probabilites  (recurrence intervals)  of 0.5  (2-year),  0.2  (5-year),  0.1 (10-year),  0.04  (25-year),  0.02  (50-year)  and 0.01  (100-year).  A network of four continuous-recording streamflow gages,  three crest-stage gages,  and six precipitation gages was established and operated for a 3- year period (1982 to  1984).  A U.S.  Geological Survey rainfall-runoff model was calibrated for each site where runoff was measured and was used to produce a series of synthetic flood peaks." (from the Abstract) },
	month = {1991},
	pages = {28 p.},
	publisher = {U.S. Geological Survey},
	organization = {U.S. Geological Survey},
	address = {[Reston, Va.]},
	keywords = {climate, Davis Creek, flooding, hydrology, mathematical modeling, Newton Creek, Oregon, Parrott Creek, precipitation, Roberts Creek, Roseburg, South Umpqua River, Sweetbriar Creek},
	url = {https://pubs.er.usgs.gov/publication/wri914063},
	author = {Hubbard, L. E.}
}
@book {24886,
	title = {Chinook salmon populations in Oregon coastal river basins: description of life histories and assessment of recent trends in run strengths},
	series = {Information Reports (Oregon. Fish Division) },
	volume = {no.88-1},
	year = {1988},
	note = {"Although we judge that runs of fall-run fish in the Umpqua System are presently increasing, we still regard these fish as extremely depressed in comparison with their historic run strength." (p.294)},
	pages = {359 p.},
	publisher = {Oregon Dept. of Fish and Wildlife, Research and Development Section,},
	organization = {Oregon Dept. of Fish and Wildlife, Research and Development Section,},
	chapter = {359 pp.},
	address = {Portland, Or.},
	keywords = {age composition, Chinook salmon = Oncorhynchus tshawytscha, commercial fisheries - salmon, Cow Creek, fecundity, geographic distribution, hatcheries, juvenile fish, life history information, mathematical modeling, North Umpqua River, population count, recreational fisheries - salmon, size composition, Smith River, South Umpqua River, temporal distribution, Umpqua River Basin, Winchester Dam},
	url = {https://ir.library.oregonstate.edu/concern/open_educational_resources/8910jv041},
	author = {Nicholas, Jay W. and Hankin, David G. and Oregon State University. Extension Service. and Oregon Fish Division, and Oregon. Dept. of Fish and Wildlife. Research and Development Section,}
}
@book {23986,
	title = {Tagging of striped bass in the Umpqua River, 1971-73},
	series = {Coastal Rivers Investigation Information Report},
	number = {no.  74-7},
	year = {1974},
	note = {Striped bass were tagged in the Umpqua from 1971-1973. Estimates of population for both the commercial and sport fishery are given. Tagged fish seemed to move easily between the Smith and Umpqua rivers, suggesting that they should be seen as one population.},
	month = {1974},
	publisher = {Fish Commission of Oregon, Management and Research Division},
	organization = {Fish Commission of Oregon, Management and Research Division},
	address = {Portland, Or.},
	keywords = {Dean Creek, Jimmy Creek, Joyce Creek (Smith River), Lower Umpqua River, mathematical modeling, Mill Creek, Otter Slough, population count, Scholfield Slough, Smith River, statistical analysis, Striped Bass = Morone saxatilis},
	url = {https://ir.library.oregonstate.edu/concern/technical_reports/gf06g3520},
	author = {Mullen, Robert E.}
}
@proceedings {23841,
	title = {The potential of physical models to investigate estuarine water quality problems},
	year = {1971},
	note = {Also Publication ORESU-W no.71-001. Discusses models of the Columbia, Umpqua, Gray{\textquoteright}s Harbor and Tillamook estuaries. The Umpqua River model was built in 1966. Includes illustration of the Umpqua model and a chart of how the model shows saline intrusions.},
	pages = {p. 4-28},
	publisher = {Oregon State University, Engineering Experiment Station},
	keywords = {Columbia River estuary, flooding, Gray{\textquoteright}s Harbor, hydrology, mathematical modeling, physical, physical modifications, salinity, tidal currents, tidal data, Tillamook Bay, Umpqua River estuary, water pollution, water quality, wave height data},
	url = {https://ir.library.oregonstate.edu/concern/technical_reports/1c18dg56t},
	author = {Simmons, Henry B.}
}
@book {23786,
	title = {Aerial Photographic Tracing of Pulp Mill Effluent in Marine Water},
	year = {1970},
	note = {Photographs},
	month = {August_1970},
	pages = {152 p.},
	publisher = {Federal Water Quality Administration. U.S. Department of the Interior.},
	organization = {Federal Water Quality Administration. U.S. Department of the Interior.},
	keywords = {bioassay, computer programs, hydrology, mathematical modeling, outfall, physical, pulp mill effluent, remote sensing, tidal currents, Toledo, toxicity, Umpqua River estuary, waste disposal, water pollution, water temperature data, Yaquina Bay},
	url = {https://ir.library.oregonstate.edu/concern/technical_reports/dr26xz07b},
	author = {Burgess, Fred J. and James, Wesley P. and U.S. Department of the Interior.  Federal Water Quality Administration, and Oregon State University}
}
