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A geomorphic assessment to inform strategic stream restoration planning in the Middle Fork John Day Watershed, Oregon, USA

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A geomorphic assessment of the Middle Fork John Day Watershed, Oregon, USA, was used to generate a hierarchical, map-based understanding of watershed impairments and potential opportunities for improvements. Specifically, we (1) assessed river diversity (character and behavior) and patterns of reach types (and their controls); (2) evaluated the geomorphic condition of the streams; (3) interpreted their geomorphic recovery potential; and (4) synthesized the above into a hypothetical, strategic management plan. Collectively, these maps can set bounds and provide realistic guidance for river rehabilitation, design and implementation efforts. Fifteen distinct reach types were identified, two-thirds of which are found along perennial streams. On the basis of a variety of geo-indicators, approximately two-thirds of all perennial stream reaches were found to be in ‘good’ geomorphic condition, whereas one-third had departed to ‘moderate’ and ‘poor’ condition. Departures from ‘good’ condition were primarily related to riparian vegetation removal, conversion of floodplain to agricultural land uses (farming and grazing), logging, and channel bed dredge mining for gold. Encouragingly, the majority of reaches classified as being in moderate geomorphic condition were found to have high recovery potential. While our geomorphic assessment has practical utility for informing physically realistic expectation management for efforts like salmonid habitat restoration, the maps themselves are the key vehicle for communicating and visualizing among stakeholders. KEYWORDS: Salmonid habitat, geomorphic condition, geomorphic recovery, river styles
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A geomorphic assessment to inform strategic
stream restoration planning in the Middle Fork
John Day Watershed, Oregon, USA
Gary R. O’Brien, Joseph Wheaton, Kirstie Fryirs, Peter McHugh, Nicolaas
Bouwes, Gary Brierley & Chris Jordan
To cite this article: Gary R. O’Brien, Joseph Wheaton, Kirstie Fryirs, Peter McHugh, Nicolaas
Bouwes, Gary Brierley & Chris Jordan (2017) A geomorphic assessment to inform strategic stream
restoration planning in the Middle Fork John Day Watershed, Oregon, USA, Journal of Maps, 13:2,
369-381
To link to this article: http://dx.doi.org/10.1080/17445647.2017.1313787
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SCIENCE
A geomorphic assessment to inform strategic stream restoration planning in
the Middle Fork John Day Watershed, Oregon, USA
Gary R. OBrien
a
, Joseph Wheaton
a
, Kirstie Fryirs
b
, Peter McHugh
a
, Nicolaas Bouwes
a
, Gary Brierley
c
and
Chris Jordan
d
a
Department of Watershed Sciences, Utah State University, Logan, UT, USA;
b
Department of Environmental Sciences, Macquarie University,
North Ryde, Australia;
c
School of Environment, University of Auckland, Auckland, New Zealand;
d
Northwest Fisheries Science Center,
National Marine Fisheries Service, NOAA, Seattle, WA, USA
ABSTRACT
A geomorphic assessment of the Middle Fork John Day Watershed, Oregon, USA, was used to
generate a hierarchical, map-based understanding of watershed impairments and potential
opportunities for improvements. Specifically, we (1) assessed river diversity (character and
behavior) and patterns of reach types (and their controls); (2) evaluated the geomorphic
condition of the streams; (3) interpreted their geomorphic recovery potential; and (4)
synthesized the above into a hypothetical, strategic management plan. Collectively, these
maps can set bounds and provide realistic guidance for river rehabilitation, design and
implementation efforts. Fifteen distinct reach types were identified, two-thirds of which are
found along perennial streams. On the basis of a variety of geo-indicators, approximately
two-thirds of all perennial stream reaches were found to be in goodgeomorphic condition,
whereas one-third had departed to moderateand poorcondition. Departures from good
condition were primarily related to riparian vegetation removal, conversion of floodplain to
agricultural land uses (farming and grazing), logging, and channel bed dredge mining for
gold. Encouragingly, the majority of reaches classified as being in moderate geomorphic
condition were found to have high recovery potential. While our geomorphic assessment has
practical utility for informing physically realistic expectation management for efforts like
salmonid habitat restoration, the maps themselves are the key vehicle for communicating
and visualizing among stakeholders.
ARTICLE HISTORY
Received 5 May 2016
Revised 13 March 2017
Accepted 28 March 2017
KEYWORDS
Salmonid habitat;
geomorphic condition;
geomorphic recovery; river
styles
1. Introduction
Geomorphic mapping of channel patterns and reach
types over entire drainage networks sets the stage for
restoration and conservation planning (Beechie &
Imaki, 2014). In particular, efforts to recover threa-
tened and endangered populations of anadromous sal-
mon (Oncorhynchus spp.) and steelhead (O.mykiss)
across the U.S. Pacific Northwest rely heavily on
stream restoration intended to mitigate or reverse
human impacts (Montgomery, 2004). Those impacts,
commonly referred to as the four Hshatchery prac-
tices, hydropower dams, harvest, and habitat loss/
degradation have spurred intense efforts to quantify
the status and trends of fish populations (and their
habitats), as well as to identify management actions
that might improve population viability (Mann &
Plummer, 2000;Rucklehaus, Levin, Johnson, & Kar-
eiva, 2002;Wheaton et al., 2017). Within the Interior
Columbia Basin in particular (see Plate 1), biological
opinions issued by the National Marine Fisheries Ser-
vice (NMFS), under the National Oceanic and Atmos-
pheric Administration (NOAA), developed population
recovery plans that lean heavily on tributary habitat
restoration (NMFS, 2008). Accordingly, a myriad of
river restoration efforts have been implemented across
subwatersheds (e.g. Holburn, Piety, Lyon, McAffee, &
Callahan, 2008;Reclamation, 2010). Many of these
interventions are opportunistic, pursued at a reach
scale without knowledge of the watershed context of
geomorphic condition and recovery potential. As a
consequence, they may not produce the desired overall
fish population response because they do not strategi-
cally target key limiting factors, connections between
and across isolated reaches, or address the root causes
of degradation at the appropriate scale (Bennett et al.,
2016). Moreover, many restoration efforts have the
best of intentions, but fail to produce physically realis-
tic goals for the streams they are intended to improve.
Restoration efforts can benefit greatly from geo-
morphic assessments that recognize the importance
of the watershed-scale context when evaluating indi-
vidual stream reach conditions (Beechie et al., 2010;
Beechie, Pess, Roni, & Giannico, 2008;Demarchi,
Bizzi, & Piégay, 2016). The resulting network-scale
© 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted
use, distribution, and reproduction in any medium, provided the original work is properly cited.
CONTACT Gary R. OBrien grobrien@gmail.com Department of Watershed Sciences, Utah State University, Logan, UT 84322, USA
JOURNAL OF MAPS, 2017
VOL. 13, NO. 2, 369381
http://dx.doi.org/10.1080/17445647.2017.1313787
maps (i.e. reach resolution and watershed extent over
the drainage network) represent the most concise
way to distill and communicate the end products of
such a geomorphic assessment in a way that can
directly support watershed management (Wheaton
et al., 2017).
Through geomorphic assessment, the rivers and
streams that comprise a drainage network of a water-
shed can be broken into distinctive reaches and similar
reach types grouped together (Buffington & Montgom-
ery, 2013;Kasprak et al., 2016). Landscape units, lithol-
ogy and rock strength, stream power and drainage
basin area are all important controls on river character
and behavior (Church, 1992;Schumm, 1977). Inter-
actions among these factors shape channels and their
floodplains forming reaches of relatively distinctive
structure and function (Buffington & Montgomery,
2013;Kellerhals, Church, & Bray, 1976). A reach
break is the physical transition between different adja-
cent reach types with characteristic valley setting, plan-
form, bed material, and geomorphic unit assemblages.
In this study, such process-based reach types are
synonymous with distinct river styles (cf. Brierley &
Fryirs, 2005). Valley confinement is a key driver of
reach breaks throughout a watershed (e.g. Fryirs,
Wheaton, & Brierley, 2016a;Montgomery & Buffing-
ton, 1997) (see Plate 3). The degree of confinement
controls the ability of a channel to adjust laterally
and, to some extent, vertically on the valley bottom.
Measures of confinement are used to differentiate val-
ley settings (Brierley & Fryirs, 2005;Fryirs et al.,
2016a).
The geomorphology of river channels and their
floodplains is key to understanding the processes that
create and maintain habitat conditions suitable for sal-
monid species (Beechie & Sibley, 1997;Gilbert, Macfar-
lane, & Wheaton, 2016;Wheaton et al., 2010). An
analysis of a rivers current geomorphic condition
and its recovery potential not only informs potential
restoration targets and priorities, it can also support
assessments of salmonidhabitat relationships at a var-
iety of spatial scales (e.g. ISEMP/CHaMP, 2015). Hier-
archical geomorphic assessments provide insight that
can enhance the success and cost-effectiveness of
ongoing salmonid habitat restoration efforts (Bennett
et al., 2016). Salmonids implicitly considergeo-
morphic features at multiple levels of a geomorphic
hierarchy when selecting/using habitats (Fausch, Tor-
gersen, Baxter, & Li, 2002). Ideal spawning locations
for bull trout (Salvelinus confluentus), for example,
are characterized by both a particular in-channel geo-
morphic unit assemblage (i.e. poolriffle transitions)
and specific valley setting (i.e. unconfined alluvial val-
leys (Baxter & Hauer, 2000;Bean, Wilcox, Woessner, &
Muhlfeld, 2014)). In a case such as this, restoration pri-
orities set by in-channel features alone are likely to be
misleading. Further, a watershed-scale perspective on
the abundance and spatial arrangement of particular
reach types some of which may be rare but critical
to particular species and/or life stages is needed to
understand the overall feasibility of watersheds to sup-
port robust and resilient fish populations (Fausch et al.,
2002;Rosenfeld & Hatfield, 2006). Yet, fish population
and habitat assessments have historically neglected this
critical multi-scale view (Fausch et al., 2002). This hier-
archical perspective of riverine habitat also helps res-
toration practitioners avoid some of the costly
mistakes of the past. For instance, the U.S. Pacific
Northwest is replete with examples of large wood pla-
cement projects that aimed to enhance salmonid habi-
tat but failed due to a lack of consideration of local
geomorphic conditions and watershed hydrology (e.g.
Frissell & Nawa, 1992). By formally considering a
reachs natural behavior, trajectory, and capacity for
adjustment, such assessments can help restoration
practitioners to work with nature(Brierley, Fryirs,
Outhet, & Massey, 2002) leading to longer lasting
and more appropriately sited restoration treatments.
This purpose of this paper and the associated maps
is to illustrate a practical application of a multiscalar
geomorphic assessment framework that can aid in
planning and prioritization of ecological restoration
and management. The Main Map embodying the
assessment is packaged as an atlas. The atlas supports
building realistic expectations for watershed managers
and stakeholders to constrain management actions
based on a sound understanding of watershed-scale
processes. Specifically, links between the physical
environment and aquatic ecosystems, support efforts
to move beyond site or reach-specific management
applications to procedures that work with watershed-
specific process relationships. This is especially impor-
tant for fish protection (Fausch et al., 2002). We use the
Middle Fork John Day Watershed in Oregon, USA as a
case study.
2. Study watershed
The Middle Fork John Day (hereafter MFJD) Water-
shed, northeast Oregon, USA, is home to populations
of summer steelhead listed under the Endangered
Species Act and at-risk Chinook salmon (Oncor-
hynchus tshawytscha) and has been the focus of numer-
ous studies, which make it an excellent candidate for
illustrating the potential utility of the River Styles Fra-
mework. The MFJD River has been the focus of mul-
tiple previous geomorphic investigations (e.g.
Butcher, Crown, Brannan, Kishida, & Hubler, 2010;
Dietrich, 2014,2016;McDowell, 2001;Reclamation,
2008;Torgersen, Price, Li, & McIntosh, 1999). Kasprak
et al. (2016) used the MFJD to compare and contrast
different reach typing (stream channel classification)
frameworks (including river styles). The MFJD has
been the subject of stream temperature thermal fish
370 G. R. OBRIEN ET AL.
habitat studies (e.g. Feldhaus, Heppell, Hiram, & Mesa,
2010;McNyset, Volk, & Jordan, 2015;Torgersen et al.,
1999), continuous fish surveys and habitat assessments
(e.g. Blanchard, 2015), site-scale bioenergetic ecohy-
draulic modeling (Wall, Bouwes, Wheaton, Saunders,
& Bennett, 2015), and salmonid life cycle modeling
(McHugh et al., in press). In addition to fish studies,
the MFJD has been the focus of research on freshwater
mussels (e.g. Box et al., 2006;Hegeman, Miller, &
Mock, 2014;Mock et al., 2010) that have shed new
light on what sort of habitats these species prefer.
The MFJD Watershed is also an Intensively Monitored
Watershed (Bennett et al., 2016) in which extensive
restoration is being coordinated (Holburn, Turner,
Piety, & Klinger, 2009;Reclamation, 2008) in an effort
to understand how specific actions influence fish and
their habitat (i.e. determine if restoration is effective
at increasing the populations). In addition, habitat sta-
tus and trend monitoring is conducted through the
Columbia Habitat and Monitoring Program
[CHaMP] (2012). While not the focus of this paper,
collectively these past studies in the MFJD provide an
excellent backdrop in which the maps presented here
can help shed new light and context for.
We conducted a hierarchical geomorphic assess-
ment using Brierley and Fryirs (2005) in the MFJD
Watershed to inform ongoing and future research
and restoration planning efforts. This framework
organizes traditional geomorphic assessment in terms
of four stages: (1) river classification (i.e. reach typing);
(2) geomorphic condition assessment; (3) recovery
potential analysis; and (4) development of a strategic
management plan to address potential restoration
and rehabilitation goals. Analyses are nestedacross
spatial scales of watersheds, landscape units, river
reaches, and geomorphic units (landforms) (Figure 1).
Initially, morphometric, hypsometric, and geomorphic
analyses are required to characterize river character,
behavior and patterns at the watershed scale (summar-
ized as reach types). An understanding of current and
historic geomorphic processes along with human per-
turbation influences are used to assess condition and
forecast recovery potential as part of developing a stra-
tegic river management plan (White, Justice, Kelsey,
McCullough, & Smith, 2017).
The MFJD Watershed is a 2050 km
2
subwatershed
of the Columbia River Basin located in east-central
Oregon (see Plate 1). The MFJD River flows northwes-
terly from headwaters on the western flank of the Blue
Mountains, a rugged series of ranges in northeastern
Oregon. The John Day Basin lies in the rain shadow
of the Cascade Range (mean annual precipitation
=3556 cm; temperature range = 10°C to 5°C in
winter and 1030°C in summer) and is underlain by
Cretaceous volcanic, marine sedimentary, and granitic
rocks overlain by the Miocene Picture Gorge Basalt of
the Columbia River Basalt Group (e.g. Walker &
MacLeod, 1991). The basin has a semi-arid climate
across upland landscapes, but is locally diverse, ranging
from alpine and forested mountains to grass- and
scrublands of the adjacent foothills and low-relief, tem-
perate steppe uplands. Vegetation communities are
stratified along moisture and elevation gradients
between mesic highland, mixed spruce and subalpine
fir forests, and sage grasslands of the upland and table-
land environments.
The MFJD Watershed consists of five Hydrologic
Unit Code 10 (HUC) subwatersheds (Seaber, Kapinos,
& Knapp, 1987) that join the 131-km long central
trunk stream of the MFJD River. The topography con-
tains a high-relief stream network with high drainage
density, marked by steep-sloped canyons, deeply dis-
sected highlands, broad tablelands, and rounded
uplands replete with broad meadows. We identified
and mapped six landscape unitsthat range from
high elevation, moist alpine terrain in the south and
east, to semi-arid volcanic tablelands to the northwest
(Plate 2).
3. Mapping data and methods
The methods used to implement the geomorphic
assessment are well documented in Brierley and Fryirs
(2005; i.e. the River Styles Framework) and summar-
ized in Figure 1. Here we focus more on describing
the specifics of how we implemented that framework
within the Middle Fork John Day to produce the
maps presented here.
3.1. Desktop analyses and stream survey
The bulk of the desktop analysis and field-based vali-
dation work is centered on the regional landscape
and watershed investigations essential to the stream
classification exercise. To aid in our desktop analysis,
we used Google Earth Pro (v.7.1.2.2041, 2013) and
other geographic information system (GIS) readable
imagery, in conjunction with the National Elevation
Dataset (NED; USGS, 1999) and National Hydrogra-
phy Dataset (NHD; USGS, 2007), to document the
landscape-scale physiographic attributes such as
underlying geology, vegetation patterns and compo-
sition, relief, drainage density and a thorough visual
interpretation of stream and valley attributes. Air
photo analysis is critical for validating preliminary
mapping of the valley bottom (Gilbert et al., 2016),
channel, and where aerial photo resolution allows, for
bed material inference and in-channel geomorphic
units. Determining reach breaks (e.g. Buffington &
Montgomery, 2013;Wohl & Merritt, 2008) is the single
most important analytical step in developing network-
based maps comprising multiple variables (e.g. stream
classification, geomorphic condition, recovery poten-
tial, and prioritized management classes) (Table 1).
JOURNAL OF MAPS 371
Reach breaks are identified through changes in valley
setting and associated channel confinement (Fryirs,
Wheaton, & Brierley, 2016b), river planform, the
assemblage of geomorphic units (i.e. floodplain and
channel landforms; cf. Notebaert & Piégay, 2013;
Wheaton et al., 2015) and bed material texture. We
validated our remotely sensed interpretations with
field visits to representative reach type localities to
map valley slope, floodplain and in-channel geo-
morphic units for each unique reach type (i.e. River
Table 1. Categorical levels used for the network stream line attributes in each classification and status map (see Plates 47 of the
atlas).
River classification map Watershed status maps
River styles Geomorphic condition Recovery potential Prioritized management
Reach breaks Intact Intact Conservation reach
Valley setting Good High Strategic reach
Confined Moderate Moderate Connected reach with high recovery potential
Partly confined Poor Low Isolated reach with high recovery potential
Laterally unconfined Moderate recovery potential
Planform (sinuosity) Low recovery potential
Low
Medium
High
Floodplain geomorphic units
Instream geomorphic units
Bed material texture
Structural elements
Note: Floodplain and instream geomorphic units and structural elements comprise a large set of possible taxonomic units (see Wheaton et al., 2015 for
details). Bed material texture is based on the grain size classification scheme of Buffington and Montgomery (1999).
Figure 1. Products produced when undertaking a River Styles geomorphic assessment noting the examples that are included in this
paper. Superscripts note the hierarchical scale at which the analysis is undertaken.
372 G. R. OBRIEN ET AL.
Style; e.g. see Plate 3). The field-based ground-truth-
ing, mapping, and data collection efforts are critical
for extrapolating channel classes throughout the
study watershed.
Longitudinal profile plots provide a key tool for
understanding and interpreting the downstream pat-
terns of rivers in each watershed, and controls that gov-
ern their form and function. This data display allows for
efficient analysis of downstream variations in types of
landscape units (and sediment process zones), upstream
watershed area, slope, total stream power and their
relationships to valley confinement and reach type
(Figure 2). Longitudinal profiles were constructed
using the National Hydrography Dataset version 1
(1:24,000) and WBD layers to derive upstream water-
shed area from an integrated flow accumulation raster
derived from a 10 m digital elevation model (DEM).
To extract longitudinal profiles, we segmented the
streamlines into 100 m reach segments for which we cal-
culated upstream watershed area and reach slope. For
this operation we used the Geospatial Modeling
Environment (GME) tool (Beyer, 2012).
Total stream power, a measure of the capability of a
river to do work (i.e. rework and transport sediment)
against the bed and banks of the river channel per
unit downstream length (e.g. Worthy, 2005), was calcu-
lated for each 100 m interval:
V=
r
gQS,
where ρis the density of water, gis acceleration due to
gravity, Qis a characteristic discharge, Sis the chan-
nel slope, and Ωis stream power in Watts. We used a
two-year recurrence interval flow for discharge (Q
2
),
given the effectiveness of frequent bankfull flows in
modifying and maintaining channel form relative
to larger magnitude, infrequent flood stage flows
(Wolman & Miller, 1960). To estimate Qfor the
Middle Fork John Day River,a regional regression
equation was obtained from the United States Geo-
logical Survey (USGS) National Streamflow Statistics
Website (URL: http://water.usgs.gov/osw/programs/
nss/pubs.html) and we used the National Stream-
flow Statistics Program (Ries, 2006) to compute an
area-discharge relationship between Q
2
and drainage
area. The relationship was verified by calculating
a linear regression based on seven gauges in the
John Day basin, including the Middle Fork, and
regional gauge data from northeastern Oregon
(Harris & Hubbard, 1982;Kasprak & Wheaton,
2012). Streamflow data of flood recurrence and flow
Figure 2. Controls on channel morphology and downstream patterns of reach types on the Middle Fork John Day River and Squaw
Creek.
JOURNAL OF MAPS 373
duration analyses were obtained from the USGS
streamflow website for Oregon (URL: http://or.
water.usgs.gov/). The Log-Pearson III analysis of
peak discharge data was performed using the
methods outlined by Klingeman, Bogavelli, Coles,
and Wright (2002) (see Plate 3).
3.2. Building the network-based classification
and status maps
The network-based status maps display results of land-
scape units, river type, geomorphic condition, recovery
potential, and prioritized strategic plan analyses. The
atlas maps (see Plates 17) were built in Esri ArcMap
using the 1:24,000 NHD version 1 (USGS, 2007)as
the baseline network for delineating reach breaks and
other variables on maps. This cartographically derived,
digital vector dataset closely matches the actual course
of the river visible in air photos. Line segments of inter-
est were assigned the appropriate categorical variables.
For example, segments denoting river classifications
begin and end at geomorphic reach breaks. In addition,
segments are categorized according to their
geomorphic condition, recovery potential and priori-
tized management (Table 1). Stream length and valley
confinement proportions were summarized for the
whole MFJD Watershed and its five subwatersheds
(Figure 4). We used NED 30 m raster DEMs to extract
elevation data and hillshade images, clipped to hydro-
logic unit codes (HUC) 8 and 10 watershed boundaries.
Stream length statistics for each analysis were gener-
ated in ArcMap and exported to Microsoft Excel for
processing. The completed raster and vector data
were exported to Adobe Illustrator for rendering of
maps and summary figures.
4. Map guides and discussion
4.1. Stream classification (river character and
behavior)
Fifteen different reach types were identified, spanning
the range of confined, partly confined, and laterally
unconfined valley settings found within the MFJD
Watershed (see Plates 1 and 4). This included both per-
ennial and ephemeral streams. Stream attributes lead-
ing to the classification are listed in organizational
Figure 3. Example River Styles tree for Middle Fork John Day Watershed streams in the partly confined valley setting. This tree
documents the key attributes of these reach types and is ordered in a hierarchical fashion. River Styles trees were also completed
for streams of confined, and laterally unconfined valley settings but are not shown here (see OBrien & Wheaton, 2015).
374 G. R. OBRIEN ET AL.
trees that include explicit, objective, and/or quantitat-
ive criteria (Figure 3). We summarized the frequency
of stream length by river classes and valley settings
for five HUC 10 subwatersheds (Figure 4). These
data are critical for understanding the partitioned
nature of the watershed and to track attributes that
are helpful for a variety of geomorphic and habitat-
related analyses. For example, Figure 4 summarizes
stream length data for the 962 km perennial network,
which is used by anadromous fish, whereas Plate 1
shows the equivalent mapping for the entire 4110 km
perennial, ephemeral, and intermittent drainage net-
work. This provides insight into geomorphic par-
ameters that may be directly relevant to fish and their
habitat or indirectly through their more sporadic
contributions of water, wood, and sediment to the per-
ennial network from upstream tributaries. Since Plate 4
summarizes the same numbers for the entire perennial,
intermittent, and ephemeral drainage network, it may
be more appropriate to informing a holistic watershed
management approach as opposed to just fish-centric
management activities. For those interested in how
the River Styles classification reported here compares
to that of other common classification systems, the
reader is referred to Buffington and Montgomery
(2013) and Kasprak et al. (2016). This latter paper
includes a comparison specific to the MFJD
Watershed.
For each representative downstream pattern of
River Styles, OBrien and Wheaton (2015) produced
Figure 4. Summary distribution of reach types (River Styles) of perennial stream in terms of stream length and valley confinement.
For information that includes the ephemeral stream network, see Plate 4 of the atlas (supplemental material).
JOURNAL OF MAPS 375
a longitudinal profile depicting geomorphic controls
including landscape units (and geology), total stream
power, and sediment process zones (i.e. Figure 2). As
noted by May, Roering, Eaton, and Burnett (2013)
and May, Roering, Snow, Griswold, and Gresswell
(2017), geomorphic controls upon knickpoint develop-
ment and valley confinement relationships exert a pri-
mary control upon fish stocks, and associated fish
management issues, in this part of the world.
4.2. Geomorphic condition
Streams and rivers are dynamic entities. The propen-
sity for channel adjustment varies across River Styles.
The current geomorphic condition of each reach
reflects its capacity for adjustment, and an analysis of
river evolution (Figure 5) that considers whether the
reach has a contemporary structure and function that
is expected for that River Style (Fryirs, 2015). A
range of geomorphic indicators are used to perform
this analysis (Plate 5). Thus, reaches of the same style
can be in various states of geomorphic condition. Ana-
lyses of geomorphic condition highlight the discre-
pancy between historic and current channel
configuration and identifies potential locations for
mitigation or protection.
We assigned geomorphic condition for each reach
based on the physical indicators that informed the
condition assessment. These explanations, in conjunc-
tion with watershed maps, offer managers a resource
for more effectively identifying problem areas and
opportunities when designing a management plan
(see OBrien & Wheaton, 2015). The MFJD Watershed
contains a range of rivers in various geomorphic con-
ditions. Plate 5 partitions the stream network into cat-
egories of intact, good, moderate, and poor geomorphic
condition. We also derived stream length metrics for
the perennial network to include the portions of sub-
watersheds hosting populations of salmonid species
(Figure 6(A) and Plate 1).
4.3. Geomorphic recovery potential
An analysis of a reachs capacity for improvement in
geomorphic condition over a relevant time period, gen-
erally 50100 years, serves as the primary basis for
assessing river recovery potential (Fryirs & Brierley,
2016). Key to these assessments are (1) an understand-
ing of the sensitivity to adjustment and responses to
historical impacts; (2) the landscape/watershed pos-
ition of the affected reach and its proximity to either
good or poor condition reaches (particularly those
positioned upstream); and (3) consideration of the cur-
rent (and likely future) limiting factors and pressures
that impact upon that reach. The recovery potential
of a specific reach is represented on a river recovery
Figure 5. Evolutionary sequences for the low sinuosity gravel bed River Style.
376 G. R. OBRIEN ET AL.
diagram that presents the current state and the pre-
dicted, potential future outcome, given different man-
agement scenarios from the do-nothing(passive
restoration) to the full interventionoptions (Figure 7).
The sum of these assessments is shown on Plate 6 and
summarized as perennial stream length data in
Figure 6(B).
Our watershed map of geomorphic recovery poten-
tial (Plate 6) suggests that, with a few exceptions, most
streams in the MFJD Watershed have a high capacity to
recover from land use pressures without intervention.
However, streams in the southeast portion of the
watershed have incurred disproportionate impacts in
a relatively delicate landscape (basic soils, sparse for-
ests, accessible terrain for multiple land uses), and
have only moderate recovery potential. Isolated reaches
of the mainstem and a few tributaries have poor
recovery potential their geomorphic condition and
function will not improve without intervention (e.g.
Figure 6(B), Bridge Creek Unit).
4.4. Building a prioritized river management
plan
Using the results of reach types, geomorphic condition,
and recovery potential, we developed a watershed-
framed strategic plan wherein realistic goals for river
rehabilitation and restoration occurring over a time-
frame of 50100 years are defined (see Plate 7). The
proposed plan is not a major departure from the key
management drivers (e.g. Reclamation, 2010) that are
currently operating in the MFJD Watershed. Manage-
ment objectives in our hypothetical, geomorphically
focused strategic management plan encourage conser-
vation of unique or remaining natural areas, followed
by restoration and rehabilitation efforts that support
and promote the geomorphic function (i.e. discharge
and sediment flux) of good condition reaches with
high recovery potential. Reaches in poor condition
with little recovery potential are given the lowest pri-
ority for rehabilitation or restoration.
Figure 6. Combined perennial stream length data for subwatersheds of the Middle Fork John Day Watershed. (A) Geomorphic
condition data are on left hand panel and (B) recovery potential data are on the right hand panel. Note these data summarize
the perennial network, whereas stream length data summarized for the whole watershed are presented in Plates 47 of the atlas.
JOURNAL OF MAPS 377
5. Conclusions and implications
Our study presents a series of maps for the MFJD
Watershed in northeast Oregon, which help set phys-
ically realistic, geomorphic bounds on what might be
possible for managers to achieve through restoration
and conservation actions. The maps provide consistent,
watershed-wide assessments of geomorphic reach type,
condition and recovery potential to guide river restor-
ation planning and inform strategic river management
practice. The communication of findings using maps is
intuitive, simplifying outputs from quite complex geo-
morphic assessments such as OBrien and Wheaton
(2015) and Reclamation (2008). The results corrobo-
rate previous documentation that the MFJD Watershed
has experienced significant impact through grazing
operations, road building and clear-cut logging, chan-
nel re-routing, floodplain/wetland drainage, and chan-
nel bed mining throughout the last century (NOAA,
2013;Reclamation, 2010). Fortunately, the most
damaging of these practices have since been curtailed
and the recovery potential for the watershed is very
favorable with 69% of perennial streams and 74% of
all streams showing high recovery potential. While
the maps can provide geomorphic insight that is
immediately relevant to assessments of physical habitat
for fish, they do not consider other ecological (e.g.
temperature and food availability) or socio-political
(e.g. land ownership) factors that might influence the
inherent value or recovery potential of reaches. The
preliminary strategic management map we present
here is reasonable from a physical feasibility perspec-
tive, but further modifications to reflect the values of
the various stakeholders involved in the planning pro-
cess would be necessary (OBrien, Wheaton, &
Bouwes, 2015). In systems with a more complicated
array of impacts extending beyond just physical habitat
(Wheaton et al., 2017), the River Styles Framework can
easily be combined with other lines of evidence, beyond
Figure 7. Geomorphic condition variants shown as conceptual cross sections, and their recovery potential, for the low sinuosity
gravel bed River Style. The current conditions are shown at left, and restored, rehabilitated and created conditions and potential
pathways are shown to the right.
378 G. R. OBRIEN ET AL.
the physical environment, to inform management
decisions.
Software
Network-based analyses and their derivative maps
were processed Using Esri ArcMap10.3.1.4959.
Google Earth Pro v.7.1.2.2041 was used to search and
validate our geomorphic interpretations during the
desktopphase of the study. Longitudinal profile
plots were extracted using the GME tool (Beyer,
2012). Stream length data were summarized and
plotted in Microsoft Excel, and all maps and figures
were rendered using Adobe Illustrator version CC ver-
sion 17.1.0 (64 bit).
Acknowledgements
Kirstie Fryirs thanks the Australian Research Council for
financial support. Gary Brierley thanks University of Auck-
land for support on study leave. The authors are grateful
to three reviewers for their helpful critiques and insights,
which helped improve the clarity of the maps and
manuscript.
Disclosure statement
No potential conflict of interest was reported by the authors.
Funding
Support for this manuscript was provided by grants from the
Bonneville Power Administration to Eco Logical Research,
Inc. (BPA Project Number: 2003-017) and subsequent grants
from ELR to Utah State University (USU Award ID:
100652).
References
Baxter, C. V., & Hauer, F. R. (2000). Geomorphololgy,
hyporheic exchange, and selection of spawning habitat
by bull trout (Salvelinus confluentus). Canadian Journal
of Fisheries and Aquatic Sciences,57, 14701481. doi:10.
1139/f00-056
Bean, J. R., Wilcox, A. C., Woessner, W. W., & Muhlfeld,
C. C. (2014). Multiscale hydrogeomorphic influences on
bull trout (Salvelinus confluentus) spawning habitat.
Canadian Journal of Fisheries and Aquatic Sciences,72
(4), 17. doi:10.1139/cjfas-2013-0534
Beechie, T., & Imaki, H. (2014). Predicting natural channel
patterns based on landscape and geomorphic controls in
the Columbia River basin, USA. Water Resources
Research,50,3957. doi:10.1002/2013WR013629
Beechie, T., Pess, G., Roni, P., & Giannico, G. (2008). Setting
river restoration priorities: A review of approaches and a
general protocol for identifying and prioritizing actions.
North American Journal of Fisheries Management,28,
891905. doi:10.1577/M06-174.1
Beechie, T., Sear, D. A., Olden, J. D., Pess, G. R., Buffington,
J. M., Moir, H., Pollock, M. M. (2010). Process-based
principles for river restoration. Bioscience,60(3), 209
222. doi:10.1525/bio.2010.60.3.7
Beechie,T.J.,&Sibley,T.H.(1997). Relationships
between channel characteristics, woody debris, and fish
habitat in northwestern Washington streams. Transactions
of the American Fisheries Society,126,217229. doi:10.
1577/1548-8659(1997)126<0217:RBCCWD>2.3.CO;2
Bennett, S., Pess, G., Bouwes, N., Roni, P., Bilbly, R. E.,
Gallagher, S. P., Greene, C. (2016). Progress and chal-
lenges of testing the effectiveness of stream restoration
in the Pacific Northwest using Intensively Monitored
Watersheds. Fisheries,41(2), 92103. doi:10.1080/
03632415.2015.1127805
Beyer, H. L. (2012). Geospatial modelling environment
(Version 0.7.2.1) (software) [software]. Retrieved from
http://www.spatialecology.com/gme
Blanchard, M. R. (2015). Using network models to predict
steelhead abundance Middle Fork John Day, Oregon
(Masters of science masters). Utah State University,
Logan, UT.
Box, J. B., Howard, J., Wolf, D., O Brien, C., Nez, D., & Close,
D. (2006). Freshwater mussels (Bivalvia: Unionoida) of
the Umatilla and Middle Fork John Day rivers in eastern
Oregon. Northwest Science,80(2), 95107.
Brierley, G., & Fryirs, K. (2005). Geomorphology and river
management: Applications of the River Styles Framework.
Victoria: Blackwell Publishing.
Brierley,G.,Fryirs,K.,Outhet,D.,&Massey,C.(2002).
Application of the River Styles Framework as a basis for
river management in New South Wales, Australia. Applied
Geography,22(1), 31. doi:10.1016/S0143-6228(01)00016-9
Buffington, J. M., & Montgomery, D. R. (1999). A procedure
for classifying textural facies in gravel-bed rivers. Water
Resources Research,35(6), 19031914. doi:10.1029/
1999WR900041
Buffington, J. M., & Montgomery, D. R. (2013). Geomorphic
classification of rivers. Treatise on Geomorphology,9, 730
767. Elsevier.
Butcher, D., Crown, J., Brannan, K., Kishida, K., & Hubler, S.
(2010). John Day River basin Total Maximum Daily Load
(TMDL) and Water Quality Management Plan (WQMP).
Portland, OR: Oregon Department of Environmental
Quality. DEQ 10-WQ-025.
Church, M. (1992). Channel morphology and typology. In P.
Callow & G. E. Petts (Eds.), The rivers handbook (pp. 126
143). Oxford: Blackwell.
Columbia Habitat Monitoring Program (CHaMP). (2012).
Scientific protocol for salmonid habitat surveys within the
Columbia Habitat Monitoring Program.Wauconda,WA.
Retrieved from http://champmonitoring.org/Program/
RetreiveProgramDocumentFile/1/Protocol%20Documents/
1113376526
Demarchi, L., Bizzi, S., & Piégay, H. (2016). Hierarchical
object-based mapping of riverscape units and in-stream
mesohabitats using LiDAR and VHR imagery. Remote
Sensing,8(2), 97. doi:10.3390/rs8020097
Dietrich, J. T. (2014). Applications of structure-from-motion
photogrammetry to fluvial geomorphology (PhD).
University of Oregon, Eugene, OR.
Dietrich,J.T.(2016). Riverscape mapping with helicopter-based
structure-from-motion photogrammetry. Geomorphology,
252,144157. doi:10.1016/j.geomorph.2015.05.008
Fausch, K. D., Torgersen, C. E., Baxter, C. V., & Li, H. W.
(2002). Landscapes to riverscapes: Bridging the gap
between research and conservation of stream fishes.
Bioscience,52(6), 483498. doi:10.1641/0006-3568
(2002)052[0483:ltrbtg]2.0.co;2
JOURNAL OF MAPS 379
Feldhaus, J. W., Heppell, S. A., Hiram, L., & Mesa, M. G.
(2010). A physiological approach to quantifying thermal
habitat quality for redband rainbow trout (Oncorhynchus
mykiss gairdneri) in the South Fork John Day River,
Oregon. Environmental Biology of Fishes,87,277290.
Frissell, C. A., & Nawa, R. K. (1992). Incidence and causes of
physical failure of artificial habitat structures in streams of
Western Oregon and Washington. North American Journal
of Fisheries Management,12(1), 15. doi:10.1577/1548-8675
(1992)012<0182:IACOPF>2.3.CO;2
Fryirs, K. (2015). Developing and using geomorphic con-
dition assessments for river rehabilitation planning,
implementation and monitoring. WIREs Water,2(6),
649667. doi:10.1002/wat2.1100
Fryirs, K., Wheaton, J., & Brierley, G. J. (2016a). An approach
for measuring confinement and assessing the influence of
valley setting on river forms and processes. Earth Surface
Processes and Landforms.doi:10.1002/esp.3893
Fryirs, K. A., & Brierley, G. J. (2016). Assessing the geo-
morphic recovery potential of rivers: forecasting future
trajectories of adjustment for use in management. Wiley
Interdisciplinary Reviews: Water,3(5), 727748. doi:10.
1002/wat2.1158
Fryirs, K. A., Wheaton, J. M., & Brierley, G. (2016b). An
approach for measuring confinement and assessing the
influence of valley setting on river forms and processes.
Earth Surface Processes and Landforms.doi:10.1002/esp.
3893
Gilbert, J. T., Macfarlane, W. W., & Wheaton, J. M. (2016).
The Valley Bottom Extraction Tool (V-BET): A GIS tool
for delineating valley bottoms across entire drainage net-
works. Computers & Geosciences,97,114. doi:10.1016/j.
cageo.2016.07.014
Harris, D. D., & Hubbard, L. E. (1982). Magnitude and fre-
quency of floods in eastern Oregon. Retrieved from
USGS Water-Resources Investigations Report.
Hegeman, E. E., Miller, S. W., & Mock, K. E. (2014).
Modeling freshwater mussel distribution in relation to
biotic and abiotic habitat variables at multiple spatial
scales. Canadian Journal of Fisheries and Aquatic
Sciences,71(10), 14831497.
Holburn, E., Piety, L. A., Lyon, E.W., McAffee, R., & Callahan,
D. (2008). Middle Fork and Upper John Day Tributary
Assessments, Grant County, Oregon.B
oise,Idaho:
American Society of Civil Engineers.
Holburn, E., Turner, T., Piety, L., & Klinger, R. (2009).
Habitat restoration on the Middle Fork John Day River.
World environmental and water resources congress 2009:
Great Rivers (pp. 112). Kansas City, MO: American
Society of Civil Engineers.
ISEMP/CHaMP. (2015). Combined integrated and status
monitoring program and Columbia habitat monitoring
program calendar year 2014 annual report. Prepared by
ISEMP and CHaMP for the Bonneville Power
Administration. B. P. Administration.
Kasprak, A., Hough-Snee, N., Beechie, T., Bouwes, N.,
Brierley, G., Camp, R., Wheaton, J. (2016). The blurred
line between form and process: A comparison of stream
channel classification frameworks. PLoS One,11(3),
e0150293. doi:10.1371/journal.pone.0150293
Kasprak, A., & Wheaton, J. (2012). Development of a rapid geo-
morphic assessment procedure for streams in the John Day
River Watershed, Oregon.Logan,UT:Ecogeomorphology
& Topographic Analysis Lab for Eco Logical Research, Inc.
Kellerhals, R., Church, M., & Bray, D. I. (1976). Classification
and analysis of river processes. Journal of the Hydraulics
Division-ASCE,102(7), 813829.
Klingeman, P., Bogavelli, V., Coles, D., & Wright, M. (2002).
Streamflow evaluations for river restoration planning and
design. Retrieved from http://streamflow.engr.
oregonstate.edu/index.htm
Mann, C. C., & Plummer, M. L. (2000). Can science rescue
salmon? Science,289(5480), 716719. doi:10.1126/
science.289.5480.716
May, C., Roering, J., Eaton, L. S., & Burnett, K. M. (2013).
Controls on valley width in mountainous landscapes:
The role of landsliding and implications for salmonid
habitat. Geology,41(4), 503506. doi:10.1130/g33979.1
May, C., Roering, J., Snow, K., Griswold, K., & Gresswell, R.
(2017). The waterfall paradox: How knickpoints discon-
nect hillslope and channel processes, isolating salmonid
populations in ideal habitats. Geomorphology,277, 228
236. doi:10.1016/j.geomorph.2016.03.029
McDowell, P. F. (2001). Spatial variations in channel
morphology at segment and reach scales, Middle Fork
John Day River, northeastern Oregon. In J. M.
Dorava,D.R.Montgomery,B.B.Palcasak,&F.A.
Fitzpatrick (Eds.), Geomorphic processes and
riverine habitat (Vol. water science and application
volume 4; pp. 159172). Washington, D.C.: American
Geophysical Union.
McHugh, P., Saunders, C., Bouwes, N., Wall, E., Bangen, S.,
Wheaton, J., Jordan, C. (in press). Linking models
across scales to assess the viability and restoration poten-
tial of a threatened population of steelhead (Oncorhynchus
mykiss) in the Middle Fork John Day River, Oregon, USA.
Ecological Modelling.
McNyset, K., Volk, C., & Jordan, C. (2015). Developing an
effective model for predicting spatially and temporally
continuous stream temperatures from remotely sensed
land surface temperatures. Water,7(12), 68276846.
doi:10.3390/w7126660
Mock, K. E., Box, J. C. B., Chong, J. P., Howard, J. K., Nez, D.
A., Wolf, D., & Gardner, R. S. (2010). Genetic structuring
in the freshwater mussel Anodonta corresponds with
major hydrologic basins in the western United States.
Molecular Ecology,19(3), 569591. doi:10.1111/j.1365-
294X.2009.04468.x
Montgomery, D. R. (2004). Geology, geomorphology, and
the restoration ecology of salmon. GSA Today,14(11),
412. doi:10.1130/1052-5173(2004)014<4:GGATRE>2.0.
CO;2
Montgomery, D. R., & Buffington, J. M. (1997). Channel-reach
morphology in mountain drainage basins. Geological
Society of America Bulletin,109(5), 596611. doi:10.1130/
0016-7606(1997)109<0596:CRMIMD>2.3.CO;2
NMFS. (2008). Endangered Species Act Section 7
Consultation Biological Opinion and Magnuson-
Stevens Fishery Conservation and Management Act
Essential Fish Habitat Consultation: Consultation on
Remand for Operation of the Federal Columbia River
Power System, 11 Bureau of Reclamation Projects in
the Columbia Basin and ESA Section 10(a)(1)(A)
Permit for Juvenile Fish Transportation Program. In
N. M. F. Service (Ed.). Portland, Oregon: National
Marine Fisheries Service.
NOAA. (2013). Pacific salmonids: Major threats and impacts.
Retrieved from http://www.nmfs.noaa.gov/pr/species/
fish/salmon.htm
Notebaert, B., & Piégay, H. (2013). Multi-scale factors con-
trolling the pattern of floodplain width at a network
scale: The case of the Rhône basin, France.
Geomorphology,200, 155171. doi:10.1016/j.geomorph.
2013.03.014
380 G. R. OBRIEN ET AL.
OBrien, G. R., & Wheaton, J. M. (2015). River Styles report
for the Middle Fork John Day Watershed, Oregon
example report for exploring leveraging the River Styles
Framework in tributary habitat management for the
Columbia River Basin. Logan, UT: Ecogeomorphology
and Topographic Analysis Lab.
OBrien, G. R., Wheaton, J. M., & Bouwes, N. (2015).
Synthesis & recommendations from Middle Fork John
Day River Styles leveraging the River Styles Framework
in tributary habitat management for the Columbia River
Basin. Logan, UT: Fluvial Habitats Center, Utah State
University.
Reclamation, U. S. B. o. (2010). Oxbow conservation area
reach assessment, Middle Fork John Day River, Grant
County, Oregon. Boise, Idaho: Pacific Northwest Regional
Office.
Reclamation, U. S. B. o. (2008). Middle Fork and Upper John
Day River tributary assessments Grant County, Oregon.
Boise, ID: Pacific Northwest Regional Office.
Ries, KG,III. (2006). The national streamflow statistics pro-
gram: A computer program for estimating streamflow stat-
istics for ungaged sites. Reston, Virginia: U. S. G. Survey.
Retrieved from U.S. Geological Survey Techniques and
Methods Report TM Book 4, Chapter A6.
Rosenfeld, J., & Hatfield, T. (2006). Information needs for
assessing critical habitat of freshwater fish. Canadian
Journal of Fisheries and Aquatic Sciences,63, 683698.
doi:10.1139/f05-242
Rucklehaus, M. H., Levin, P., Johnson, J. B., & Kareiva, P. M.
(2002). The Pacific salmon wars: What science brings to
the challenge of recovering species. Annual Review of
Ecology and Systematics,33(Annual Reviews), 665706.
doi:10.1146/annurev.ecolsys.33.010802.150504
Schumm, S. A. (1977). The fluvial system. New York, NY:
Wiley.
Seaber, P. R., Kapinos, F. P., & Knapp, G. L. (1987).
Hydrologic unit maps. (2294). United States Government
Printing Office.
Torgersen, C. E., Price, D. M., Li, H. W., & McIntosh, B. A.
(1999). Multiscale thermal refugia and stream habitat
associations of Chinook salmon in northeastern Oregon.
Ecological Applications,9(1), 301319. doi:10.1890/1051-
0761(1999)009[0301:MTRASH]2.0.CO;2
USGS. (1999). National Elevation Dataset. Retrieved from
http://ned.usgs.gov/
USGS. (2007). National Hydrography Dataset. Retrieved
from http://nhd.usgs.gov/
Walker, G. W., & MacLeod, N. S. (Cartographer). (1991).
Geologic map of Oregon. Retrieved from http://mrdata.
usgs.gov/sgmc/or.html
Wall, C. E., Bouwes, N., Wheaton, J. M., Saunders, W. C., &
Bennett, S. N. (2015). Net rate of energy intake predicts
reach-level steelhead (Oncorhynchus mykiss) densities in
diverse basins from a large monitoring program.
Canadian Journal of Fisheries and Aquatic Sciences,
111. doi:10.1139/cjfas-2015-0290
Wheaton, J., Bouwes, N., McHugh, P., Saunders, W. C.,
Bangen, S. G., Bailey, P. E., Jordan, C. (2017).
Upscaling site-scale ecohydraulic models to inform salmo-
nid population-level life cycle modelling and restoration
actions lessons from the Columbia River Basin. Earth
Surface Processes and Landforms.doi:10.1002/esp.4137
Wheaton, J. M., Brasington, J., Darby, S. E., Merz, J.,
Pasternack, G. B., Sear, D., & Vericat, D. (2010). Linking
geomorphic changes to salmonid habitat at a scale rel-
evant to fish. River Research and Applications,26(4),
469486. doi:10.1002/rra.1305
Wheaton, J. M., Fryirs, K. A., Brierley, G. J., Bangen, S. G.,
Bouwes, N., & OBrien, G. R. (2015). Geomorphic map-
ping and taxonomy of fluvial landforms.
Geomorphology,248, 273295. doi:10.1016/j.geomorph.
2015.07.010
White, S. M., Justice, C., Kelsey, D. A., McCullough, D. A., &
Smith,T.(2017). Legacies of stream channel modifi-
cation revealed using general land office surveys, with
implications for water temperature and aquatic life.
Elementa Science of the Anthropocene,5(3). doi:10.1525/
journal.elementa.192
Wohl, E., & Merritt, D. M. (2008). Reach-scale channel geo-
metry of mountain streams. Geomorphology,93(34),
168185. doi:10.1016/j.geomorph.2007.02.014
Wolman, M. G., & Miller, J. P. (1960). Magnitude and fre-
quency of forces in geomorphic processes. Journal of
Geology,68,5474.
Worthy, M. (2005). High-resolution total stream power esti-
mates for the Cotter River, Namadgi National park,
Australian Capital Territory. In I. C. Roach (Ed.),
Regolith 2005 ten years of the centre for resource and
environment studies (pp. 338343). Canberra: Australian
National University.
JOURNAL OF MAPS 381
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... Applications of the River Styles Framework have demonstrated that it has significant explanatory power [72,73,85]. However, this also comes with risks and potential for misuse, with untrained or inexperienced users using the Framework and database for purposes other than those for which they were initially derived. ...
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... Structure-from-Motion photogrammetry has been shown to collect high-quality elevation data and accurate orthophotographs and has been applied at large extents (Javernick et al. 2014;Dietrich 2016;Rusnák et al. 2018). Furthermore, GIS tools (e.g., O'Brien et al. 2017) can be used to replace field methods that are time consuming and often used as covariates (e.g., gradient). The myriad of technological and computing advancements will continue to provide opportunities for larger and potentially more precise data sets. ...
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... Alternate bars were present in the upper section. These patterns are typical in confined and partly confined valleys as the Upper and the Lower Bienne River (Fryirs, 2013(Fryirs, , 2017O'Brien et al., 2017). The riverbed grain size and the specific potential stream power of the Bienne River are in concordance with a moderately braided channel pattern (Kleinhans and van den Berg, 2011). ...
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... Deep-rooted vegetation strengthens channel boundary conditions (Shit & Maiti, 2012;Mulyono et al., 2018), thereby providing hydraulic conditions that are ideal for the development of aquatic habitats. These buffers also allow the stream to maintain its base-flow during low flow seasons (Schlosser & Karr, 1981), which directly affects the aquatic habitat extent and quality (O'Brien et al., 2017). Stream buffers ideally consist of native tree species preserved in their natural form for much of the stream length and provide easy travel and dispersal routes for wildlife (Lees & Peres, 2008), thereby helping preserve the biodiversity of the region (O'Donnell et al., 2015). ...
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... In the case of the former limitation, the outputs of any channel classification framework are simplifications of reality binned into discrete groups, the number and characteristics of which may be defined a priori by the developer(s). As a result, it is possible that multiple individuals tasked with classification of a similar region will produce schemes with appreciably different reach types and defining characteristics; see, for example, the classification developed by O'Brien et al. (2017) versus that of Montgomery and Buffington (1997) for a geomorphically similar region. In the case of the latter limitation, limited data coverage constrains the range of geology, topography, and climate conditions influencing the resulting morphological diversity in any one study area. ...
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