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A STREAM EVOLUTION MODEL INTEGRATING HABITAT AND
ECOSYSTEM BENEFITS
B. CLUER
a
*AND C. THORNE
b
a
Fluvial Geomorphologist, Southwest Region, NOAA’s National Marine Fisheries Service, Santa Rosa, California, USA
b
Chair of Physical Geography, University of Nottingham, Nottingham, UK
ABSTRACT
For decades, Channel Evolution Models have provided useful templates for understanding morphological responses to disturbance associated
with lowering base level, channelization or alterations to the flow and/or sediment regimes. In this paper, two well-established Channel
Evolution Models are revisited and updated in light of recent research and practical experience. The proposed Stream Evolution Model
includes a precursor stage, which recognizes that streams may naturally be multi-threaded prior to disturbance, and represents stream
evolution as a cyclical, rather than linear, phenomenon, recognizing an evolutionary cycle within which streams advance through the common
sequence, skip some stages entirely, recover to a previous stage or even repeat parts of the evolutionary cycle.
The hydrologic, hydraulic, morphological and vegetative attributes of the stream during each evolutionary stage provide varying ranges
and qualities of habitat and ecosystem benefits. The authors’personal experience was combined with information gleaned from recent
literature to construct a fluvial habitat scoring scheme that distinguishes the relative, and substantial differences in, ecological values of
different evolutionary stages. Consideration of the links between stream evolution and ecosystem services leads to improved understanding
of the ecological status of contemporary, managed rivers compared with their historical, unmanaged counterparts. The potential utility of the
Stream Evolution Model, with its interpretation of habitat and ecosystem benefits includes improved river management decision making with
respect to future capital investment not only in aquatic, riparian and floodplain conservation and restoration but also in interventions intended
to promote species recovery. Copyright © 2012 John Wiley & Sons, Ltd.
key words: Stream Evolution Model (SEM); channel evolution; freshwater ecology; habitat; conservation; river management; restoration; climate resilience
Received 1 November 2012; Accepted 13 November 2012
INTRODUCTION
It is now generally accepted that river engineering and
management that works with rather than against natural pro-
cesses is more likely to attain and sustain the multi-functional
goals (e.g. land drainage, flood risk management, fisheries,
conservation, biodiversity, and recreation) demanded by local
stakeholders and society more widely (Wohl et al., 2005;
Thorne et al., 2010). This, coupled with growing recognition
that the range and value of ecosystem services provided by
rivers increase with the degree to which they are allowed to
function naturally, fuels the drive for restoration of fluvial
systems degraded by past management and engineering
actions that have proven, in the long term, to be unsustainable
(Palmer et al., 2005).
However, complete restoration of a river to some former
condition is seldom possible, nor always desirable (Downs
and Gregory, 2004), and deciding whether partial restor-
ation, rehabilitation or environmental enhancement is the
best way to treat a damaged stream raises fundamental ques-
tions for river managers responsible for achieving increased
biodiversity or the protection and recovery of endangered
species. Specifically, serious questions arise concerning the
nature of the pre-disturbance condition to which a given
river should be restored, the likely sequence (and habitat
impacts) of channel adjustments associated with post-pro-
ject evolution and the merits of restoring the river to some
former condition rather than facilitating, or even enhancing,
its progression to a configuration that is, first, better adjusted
to the prevailing hydrological and sediment regimes and,
second, more resilient to the unavoidable impacts of future
climate change and/or land use.
In this paper, these questions are addressed by
1. revisiting well-established Channel Evolution Models
(CEMs) for streams that respond to disturbance through
incision,
2. updating these CEMs in light of recent research, including
that on pre-disturbance channel forms in Europe and North
America, to propose a more broadly based Stream Evolu-
tion Model (SEM),
3. linking the evolutionary stages of stream adjustment to
indicators of habitat and lotic ecosystem benefits and
*Correspondence to: B. Cluer, Fluvial Geomorphologist, Southwest
Region, NOAA’s National Marine Fisheries Service, 777 Sonoma Ave.,
Suite 325, Santa Rosa, California 95404, USA.
E-mail: brian.cluer@noaa.gov
RIVER RESEARCH AND APPLICATIONS
River Res. Applic. 30: 135–154 (2014)
Published online 10 January 2013 in Wiley Online Library
(wileyonlinelibrary.com) DOI: 10.1002/rra.2631
Copyright © 2012 John Wiley & Sons, Ltd.
4. considering how the SEM linked to ecosystem benefits
might be used to better understand, strategically manage
and sustainably restore freshwater aquatic systems.
Channel evolution models help us conceptualize how
single-thread alluvial channels may respond to disturbances,
through a series of morphological adjustments, which can
be generalized into an evolutionary sequence common to
streams in different physiographic settings. On this basis,
past evolutionary changes can be explained and future ones
predicted through space-for-time substitution within the
affected fluvial system. The utility of CEMs (originating
from Schumm et al., 1984; Simon and Hupp, 1986) to
inform interventions for managing the impacts of channel
instability endures, and subsequent authors have expanded
the concept (e.g. Doyle and Shields, 2000; Simon and
Darby, 2002; Beechie et al., 2008; Hawley et al., 2011). In
contrast, there has been little application and even less evalu-
ation of CEMs in the contexts of aquatic conservation and
ecologically led river restoration. An unintended conse-
quence of the broad acceptance of CEMs as conceptual mod-
els for alluvial stream behaviour has been to help perpetuate
the assumption that a single-thread, meandering channel
represents the natural configuration of a dynamically stable
alluvial stream and that this, consequently, represents a
universally appropriate target morphology for restoration
(see Kondolf (2009) for extended discussion of this point).
Reflecting on the history of human land use suggests
that we should not be surprised that single-thread channels
predominate in more economically developed countries since
the late 19th and early 20th centuries. By then, anthropogenic
disturbance of many multi-channel systems had already
triggered widespread channel metamorphosis into single-
thread configurations (Marston et al., 1995; Surian and
Rinaldi, 2003). Actually, channel transformations to simpler
confined forms were the specific intentions of many early
settlement river management measures. Manipulating a
multi-channel reach into a single-threaded channel not only
improved waterway commerce but also enhanced drainage,
opened bottom land for agriculture, facilitated construction
of small dams for water abstraction or hydropower and
allowed building of fewer, shorter bridges.
In the USA, beginning two centuries ago, floodplain
wetland complexes were systematically drained and devel-
oped, the transformative engineering supported by public
programmes (e.g. the Swamp Land Act of 1850) as a means
of ceding ‘waste’lands to the States. Two hundred thousand
miles of streams were systematically channelized or embanked
into single-thread configurations that were deeper, simpler and
narrower (Schoof, 1980). These approaches to wetland, flood-
plain and stream management prevailed in the USA until
the late 20th century (Dahl and Allord, 1996), when wetland
restoration began (Lewis, 2001). Centuries earlier, similar
wetland and river management had begun in Europe
(Brookes, 1988). The outcome is that most streams in the
global North currently have channel forms and relations to
their floodplains that are the legacy of a century or more of
systematic manipulation and inadvertent impacts on channel
processes and fresh water ecology (Brown and Sear, 2008).
Recognizing that the single-thread channel is perhaps not
necessarily the ‘natural channel’that restoration would seek
to emulate, Montgomery (2008, p.292) stated that ‘[T]he
first step in a river-restoration program should instead be
to develop a solid understanding of what the targeted rivers
were actually like before the changes that restorationists
seek to undo or mitigate’. Indeed, fluvial geomorphologists
have for some time questioned the notion that stable,
equilibrium channel forms exist at all (Phillips, 1992;
1999; 2009). Similarly, recognition of the ecological bene-
fits of frequent and prolonged floodplain inundation, driven
by flooding several times a year, has initiated the discour-
aging of 2-year (bankfull) flow event as the prime design
discharge for stream restoration in Europe (Habersack and
Piégay, 2008) and the USA (Doyle et al., 2007).
Accepting that a multi-channel configuration and increased
floodplain inundation better represent the pre-disturbance
condition of many alluvial streams, it may be argued that the
CEMs could be extended by including a precursor stage.
Recognition that multi-threaded channels and floodplains
inundated several times per year may provide a great range
of more valuable habitats, and so represent a valid design
template for restoration, suggests that links between evolu-
tionary stage and habitat attributes could be explored. Also,
the ecological values provided by streams during different
evolutionary stages need to be properly evaluated to facilitate
river management and restoration decision making that is led
ecologically, rather than morphologically.
FRAMEWORKS FOR UNDERSTANDING
STREAM EVOLUTION
Review of existing channel evolution models
Morphological response to disturbance that involves
channel incision may be considered in two dimensions: verti-
cal adjustment involving degradation and aggradation of the
bed and lateral adjustment involving retreat and advance of
the banks (Little et al., 1981; Thorne et al., 1981). Vertical
adjustments dominate initial responses driven by erosion
and lowering of the bed until the banks become unstable,
whereas lateral adjustment dominates as geotechnical bank
failures and toe scour result in widening. Eventually, the
width of the unstable channel becomes sufficiently large
that near-bank flows lose their competence to entrain and
remove failed bank material, so that channel width first
stabilizes and then decreases as slumped bank material builds
bank toe benches and berms at one or both margins. Provided
B. CLUER AND C. THORNE136
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DOI: 10.1002/rra
that no further disturbance occurs, the channel recovers a
dynamically meta-stable form when its banks and berms
stabilize and the energy slope adjusts to match local sediment
transport capacity to the supply of sediment from upstream
(Simon and Thorne, 1996).
During the 1980s, identification that morphological
response is usually characterized by bed degradation followed
by bank collapse, widening and eventual stabilization led to
the formulation of a generalized CEM by Schumm et al.
(1984). The five-stage model of Schumm et al.isbasedon
field monitoring of unstable streams in North Mississippi,
and a space-for-time substitution that uses observations made
simultaneously along the stream to indicate how channel
changes at a given cross-section would occur through time if
the reach were considered systematically (Figure 1). Simon
and Hupp’s (1986) six-stage model adaptation (Figure 2)
was based on post-disturbance evolution of channelized
streams in West Tennessee, although it has subsequently been
shown also to apply in a wide variety of physiographic
settings (Simon and Thorne, 1996).
The most obvious difference between the five-stage and
six-stage CEMs is that Simon and Hupp include a
Figure 1. Schumm et al. (1984) Channel Evolution Model with typical width–depth ratios (F). The size of each arrow indicates the relative
importance and direction of the dominant processes of degradation, aggradation and lateral bank erosion. (Redrawn with permission from
Water Resources Publications)
Figure 2. Simon and Hupp’s (1986) Channel Evolution Model. [Adapted from Simon and Hupp (1986).]
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 137
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DOI: 10.1002/rra
‘constructed’stage between the ‘pre-modified’and ‘degrad-
ation’stages of Schumm et al. This stems from the common
channelization, straightening and re-sectioning of streams in
their study area. Hence, Stage III in Simon and Hupp’s
model corresponds to Stage II in the model of Schumm
et al. in representing a condition where the channel is
degrading, but bed lowering has not yet increased bank
height sufficiently to trigger instability (Little et al., 1981;
Thorne et al., 1981). A second difference is that bed scour
continues in Stage IV of Simon and Hupp’s model even
though the banks are retreating because of geotechnical
failure, simultaneously producing channel degradation
and widening. This contrasts with the equivalent Stage III
in the model of Schumm et al., which indicates that the
bed elevation starts to aggrade once widening commences.
The third difference between the CEMs is the greater
emphasis placed on the influence of bank and riparian vege-
tation processes in Simon and Hupp’s model; an emphasis
subsequently validated by field research that established
the effectiveness of vegetation as a ‘riparian engineer’
(Gurnell and Petts, 2006).
In the years following formulation of these CEMs, many
of the incised channels from which the models were derived
tended to stabilize as a result of natural recovery, assisted in
many places by engineering stabilization (Simon and Darby,
2002). Despite this, evidence from long-term monitoring of
late-stage evolution in these streams has revealed that
significant changes to channel morphology continue beyond
the end-stages in the original CEMs, through increases in
sinuosity and roughness coupled with reductions in sedi-
ment load and mobility. Thorne (1999) reported late-stage
morphological evolution featuring closing of back channels,
invasion of sloughs and bar tops by vegetation, adoption of
a sinuous path by the regime channel established during
Stages V/VI and renewed bank retreat along the outer
margins of developing meander bends in the evolving
channel planform (Figure 3). This may partly explain why
sediment concentrations have remained stubbornly high in
many streams deemed, according to the established CEMs,
to have recovered from incision (Shields, 2009). These
late-stage evolutionary changes are widely observed, and
Thorne (1999, page 118) proposed that ‘an additional stage
(Stage VI/VII) be added to existing CEMs to account for
late-stage incised channel evolution from straight or braided
to meandering’.
It is timely to further revise CEMs in two important
respects. The first stems from consideration of extended
histories of channel adjustment unavailable in the 1980s,
which indicate that late-stage evolution may involve adjust-
ments to channel planform not included in the existing
models. The second arises because recent reconstruction of
past fluvial environments based on the age and stratigraphy
of valley-fill deposits in Europe and the Eastern USA
challenges the general assumption that alluvial streams
were predominately single threaded in their ‘natural’,pre-
disturbance condition.
Physical evidence for precursor and successor stages
Walter and Merrits (2008) and Merritts et al. (2011)
established that from the late 17th to early 20th centuries,
settlement by Europeans altered streams throughout the
Eastern USA through forest clearance (that increased flow
and sediment yields) and the widespread construction of
low (3–5 m high) but valley-wide mill dams, each of which
created shallow reservoirs that inundated wetlands and
deposited sediment, obscuring the pre-existing anastomosed
channel networks. Once timber resources were depleted,
agriculture dominated and other power sources had been
developed, these mill dams were abandoned. They subse-
quently failed, and channel incision into the post-settlement,
valley-fill deposits created single-threaded channels.
Walter and Merrits (2008) concluded that ‘The current
condition of single gravel-bedded channels with high, fine-
grained banks and relatively dry valley-flat surfaces
disconnected from groundwater is in stark contrast to the
pre-settlement condition of swampy meadows (shrub-scrub)
and shallow anabranching streams’(p.303), leading them to
propose that seminal geomorphic studies including those
performed by Leopold and Maddock (1953), Wolman
Figure 3. Late-stage morphological evolution involving development of cross-sectional asymmetry and planform sinuosity through closing of
back channels, invasion of sloughs and bar tops by vegetation, adoption of a sinuous path by the regime channel established in Stages V/VI
and renewed bank retreat along the outer margins of developing bends in the channel planform (modified from Thorne, 1999)
B. CLUER AND C. THORNE138
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(1955) and Wolman and Leopold (1957), which established
relationships between the dominant discharge, channel form
and floodplain building processes, were in fact based on
channel and floodplain morphologies that were the products
of prior anthropogenic disturbance.
Although controversial (e.g. Hupp et al., 2013), these
findings are neither particularly new nor unique to the East-
ern USA. Paleohydrological studies in Europe have estab-
lished that channel–floodplain associations once thought to
be ‘natural’actually represent the outcomes of accelerated
sediment production and deposition that buried multi-
threaded woodland stream systems (Harwood and Brown,
1993; Sear and Arnell, 2006; Brown and Sear, 2008). In
the Pacific Northwest (Collins et al., 2003; Pollock et al.,
2003; Montgomery, 2004) and Intermountain (Woelfle-Ers-
kine et al., 2012) regions of the Western USA, several
authors demonstrate that multi-threaded networks of branch-
ing streams and connected wetlands were common prior to
European settlement, where single-thread channels and rela-
tively dry floodplains currently occupy ‘intact’alluvial
valleys.
Similarly, historical reconstructions of valley sediments
throughout the California Coastal Range show that branching
stream channels (Tompkins, 2006) and wetlands (Grossinger
et al., 2007) were commonplace in basins prior to European
settlement and land management for drainage and flood
control. It is important to note that the Mediterranean
climate of this region resulted in seasonal drying of some
pre-disturbance branching channel systems, but Kondolf and
Tompkins (2008) ascertained that these still provided richer
aquatic habitat than the post-disturbance regulated and
contracted perennial single-thread channels that replaced them.
The remaining global extent of network channels is concen-
trated in less developed countries and to stream systems where
the scale is too large (e.g. Okavango Delta, Sudd Swamp in
the Nile basin and Florida Everglades) or the location too
remote (e.g. glacial outwash plains and mountain meadows)
for river and floodplain management to be effective in elimin-
ating them. Recent field research in light of conceptual CEMs
prompts the consideration that the single-thread configuration
taken to represent the initial, undisturbed morphology of an
alluvial stream may have actually evolved from earlier, truly
pre-disturbance, multi-channel morphologies that were not
only more extensive and complex but also provided greater
diversity and richer habitats and ecosystem functions. There
is, thus, a case for adding a precursor branching stage to the
existing CEMs and for integrating habitat and ecosystem
benefits into the model framework.
The stream evolution model
In light of the issues and arguments set out above, we devel-
oped a SEM by combining the stages featured in the original
CEM models (Schumm et al. (1984); Simon and Hupp
(1986)), inserting a precursor stage to better represent pre-
disturbance conditions and adding two successor stages to
cover late-stage evolutionary changes missing from the ori-
ginal models (Table I). We also represent channel evolution
in the SEM as a cyclical rather than a linear sequence. This
modification stems from the fact that early models represent
channel response as progressing linearly through a sequence
of stages (see Figures 1 and 2) whereas evidence from the
stratigraphy of Holocene valley-fill deposits and field moni-
toring of changes in contemporary, incised channels indi-
cates that evolution in disturbed fluvial systems is cyclical
(e.g. Hawley et al., 2011). A common criticism of the ori-
ginal CEMs is that it is rare for a stream to exhibit all of
the stages in the model and even rarer for them to occur in
the indicated sequence. For example, a reach may experi-
ence repeated episodes of incision and rapid widening
(Stages II and III of Schumm et al. or Simon and Hupp’s
Stages III and IV) without recovering any of the lost bed ele-
vation through intervening episodes of aggradation (Bledsoe
et al., 2007). We suggest that these and other behaviours
could be better represented as non-linear responses and
‘short-circuits’in a cyclical SEM, as illustrated in Figure 4.
STREAM EVOLUTION MODEL STAGE LINKED TO
HABITAT AND ECOSYSTEM BENEFITS
Background and approach
Stream morphology interacts with the flow and sediment
regimes (discharge, seasonality and variability), channel
boundary characteristics (bed sediments, bank materials and
vegetation) and water quality (temperature, turbidity, nutrients
and pollutants) to produce, maintain and renew habitat at a
range of spatial and temporal scales. The potential for a stream
to support resilient and diverse ecosystems generally increases
with its morphological diversity, although restoration of lost
diversity does not guarantee recovery of any particular target
or iconic species, which may be limited by factors unrelated
to stream morphology (Palmer et al., 2005).
It follows that the morphological adjustments experienced
by unstable, incising streams have serious implications for
the diversity and richness of habitat and ecosystem services
it can provide. Despite this, no attempt has been made, to
date, to identify and evaluate the habitat and ecosystem
benefits associated with evolutionary stage. To address this
gap in knowledge, we performed a systematic exploration
of links between the physical and vegetative attributes of
the stream and the habitat and ecosystem benefits it provides
for the eight stages in the SEM. Streams were assessed per
stage on the basis of the authors’interpretations of processes
and physical attributes coupled with assessment of infor-
mation compiled from published relationships between
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 139
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Table I. Previous Channel Evolution Models and the proposed Stream Evolution Model with description of reach-average characteristics, or stages
B. CLUER AND C. THORNE140
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DOI: 10.1002/rra
stream attributes, functional habitats and freshwater ecology
(e.g. Harper et al., 1995; Padmore, 1997; Newson and
Newson, 2000), and synthesis of newly available knowledge
gained from recent publications that have established
linkages between ecosystem functions and common stream
types (e.g. Thorp et al., 2010).
In this evaluation, the physical attributes considered for
the stream were hydrologic, hydraulic and geomorphic.
Such is the importance and influence of vegetation that it
was dealt with as a separate attribute of the stream environ-
ment. On the basis of the physical and vegetative attributes
of the stream, habitat and ecosystem benefits were evaluated
in terms of habitat, biota, resilience and persistence, and
water quality. The bases on which the evaluations were
performed are described in the following sections, with details
of each stage’s unique attributes listed in Tables II and III.
Hydrologic regime
The hydrological regime is crucial to creating and maintain-
ing morphological diversity and supporting ecological
integrity, underscoring its significance to channel change.
All elements of the regime are important, ranging from base
flows (and periods of zero discharge in ephemeral streams)
to flood events that provide the ‘flood pulse advantage’
(Junk et al., 1989; Poff et al., 1997). Timing and seasonality
are also significant with, for example, secondary production
and selection for flood-linked life history characteristics
depending on the flood pulse occurring during late spring
or summer (Thorpe et al., 2006).
From the perspective of the SEM, stages involving
channelization, dredging or incision that concentrate flows
within the channel to accentuate flood peaks may damage
or wash out physical and habitat features and diminish
floodplain interactions. Conversely, the attenuating effects
of floodplain and multi-channel morphologies and enhanced
capacity to store sediment associated with other SEM stages
tend to enhance flood-related morphological features and
ecological benefits.
Floodplain connectivity also influences the types,
quantities and qualities of hydrological benefits provided
by floods: benefits that are central to the productivity of
aquatic, riparian and floodplain ecosystems. Floodplains
absorb, retain and then release floodwater, increasing the
Figure 4. Stream Evolution Model based on combining the Channel Evolution Models in Figures 1–3, inserting a precursor stage to better
represent pre-disturbance conditions, adding two successor stages to cover late-stage evolution and representing incised channel evolution
as a cyclical rather than a linear phenomenon. Dashed arrows indicate ‘short-circuits’in the normal progression, indicating for example that
a Stage 0 stream can evolve to Stage 1 and recover to Stage 0, a Stage 4-3-4 short-circuit, which occurs when multiple head cuts migrate
through a reach and which may be particularly destructive. Arrows outside the circle represent ‘dead end’stages, constructed and maintained
(2) and arrested (3s) where an erosion-resistant layer in the local lithology stabilizes incised channel banks
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 141
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Table II. Physical and vegetative attributes for each stage in the Stream Evolution Model
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hydroperiod, slowing times to concentration, attenuating
downstream flood peaks and recharging aquifers that keep
floodplains moist and contribute to base flows. Base flow
is an important hydrologic attribute because it governs
habitability and biodiversity for aquatic species (Bêche
et al., 2009).
Stream hydrology interacts with groundwater via the
hyporheic zone (the part of the subsurface hydrological
system beneath and adjacent to the channel that is closely
coupled to the stream and with which water is exchanged
freely) to increase the capability of the watercourse to
support a diverse range of valuable habitats, especially dur-
ing low flows (Boulton et al., 1998). The dimensions and
contribution of the hyporheic zone may be large. For
example, the hyporheic zone of the Flathead River, Montana
extends laterally for 2 km and supplies more than half of the
nutrients available to the aquatic ecosystem (Stanford and
Ward, 1988). Connectivity between the stream and the
Table III. Habitat and ecosystem benefits for each stage in the Stream Evolution Model
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 143
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hyporheic zone may be limited and even severed during
some stages in the SEM by channelization, incision and/or
the ingress of fines into coarse channel substrates.
Hydraulics
Research in the field of ecohydraulics has for several years
focused on the influences of velocity and depth on channel
habitats for fish and other aquatic species (Gordon et al.,
1992), whereas the importance of the stream providing a
range of velocity–depth combinations to support a wide
range of species through all their life stages has been
demonstrated through numerous applications of models
such as IFIM (Bovee et al., 1998). Hydraulic diversity not
only supports quality and variety in aquatic habitats but also
interacts with bedforms and drives bed material and sub-
strate sorting processes that contribute to diversity in benthic
habitat.
Newson and Newson (2000) showed how the hydraulic
characteristics of channels could be categorized using
physical biotopes and functional habitats identified from the
configuration of the water surface (Figure 5). The ecological
benefits provided by the stream depend not only on the extent
and variety of biotopes but also on their pattern, positioning
and patchiness, as well as the extent to which hydraulic diver-
sity is maintained across a range of discharges. For example,
deep pools are vital in providing aquatic habitats linked to
cool, hyporheic flows during hot, dry periods (Baxter and
Hauer, 2000), whereas marginal deadwaters concentrate
nutrients, provide rearing habitats during normal flows and
act as refugia during floods (Lancaster and Hildrew, 1993;
Schwartz and Herricks, 2005).
From the perspective of the SEM, the extent and persist-
ence of key physical attributes such as hydraulic diversity
and the existence of marginal deadwaters are likely to be
evolutionary stage dependent.
Geomorphic attributes
Although debate continues between geomorphologists and
ecologists regarding the relative contributions to habitat
quality and diversity made by different channel forms and
features (e.g. King and Tharme, 1993; Williams, 2010), it
is generally agreed that supporting ecosystems with habitats
that are rich and resilient, that range from micro-scale to
meso-scale, to macro-scale, and that persist across a wide
range of hydrologic conditions is vital. Consequently,
significant geomorphic attributes include the dimensions,
geometry, substrate characteristics and sediment features of
the channel, as well as the equivalent attributes of those
portions of the hydrologically and hydraulically connected
floodplain.
Channel dimensions and geometry. Metrics selected to
represent the physical size and channel shape are wetted
area and the length and complexity of the shoreline.
The utility of these attributes may be illustrated by
considering that at all in-bank flow depths, a stream
provides a larger wetted area and a longer, relatively
more complex shoreline when it has a varied cross-
section. It follows that for a given flow capacity, streams
with multi-channel morphologies provide more shoal and
edge habitat than equivalent streams with single-threaded
channel configurations.
Figure 5. Physical biotopes and associated functional habitats suggested by Newson and Newson (2000). Used with permission from Sage
Publications
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Channel and floodplain features. Channel features that
contribute significantly to habitat quality and diversity
include bedforms, bars, islands, banks, riparian margins,
confluences and diffluences. For example, confluences are
sites of energy concentration where large-scale turbulence
is generated, areas of local acceleration and deceleration
are found, sediment sorting is vigorous and large wood tends
to accumulate. Unsurprisingly, confluences have been found
to be both ecological hotspots (Benda et al., 2004) and places
where ecological communities shift (Rice et al., 2001). Multi-
channel streams (i.e. braided, anastomosed or meandering
streams with wide point bars and chute channels) have
numerous confluences capable of contributing habitat and
ecosystem benefits similar to those found relatively
infrequently at tributary junctions in single-thread streams.
Other particularly important geomorphic attributes
include in-stream sediment storage and the proportion of
the bankline that is accreting, stable or unstable, which have
major implications for avifauna. These attributes, and their
contributions to habitat and ecosystem benefits, are altered
by the morphological adjustments associated with channel
response to disturbance.
Significant floodplain attributes include the extent and con-
nectivity of inundation surfaces, side channels and wetlands.
It is difficult to overstate the importance of floodplain extent
and connectivity to sediment storage, carbon sequestration
and nutrient processing (particularly denitrification). Flood-
plains have also been demonstrated to increase biocomplexity
(Amoros and Bornette, 2002), and fish particularly benefit
from floodplain rearing (Henning et al., 2006; Jeffres et al.,
2008) in connected channel–floodplain systems.
The significance of access to off-channel aquatic and
wetland habitats has been further illustrated with reference
to ephemeral floodplain tributaries (Hartman and Brown,
1987), periodically flooded morphological features such as
alcoves and backwaters (Bell et al., 2001), seasonally closed
estuary lagoons (Hayes et al., 2008) and even artificial water
bodies such as gravel pits (e.g. Roni et al., 2006) where, for
example, salmon have been shown to grow faster than in
even the best ‘in-channel’habitats. This led Bond et al.
(2008) to conclude that access to off-line habitats, although
available only seasonally, provides population-scale benefits
to salmon by increasing the numbers of juvenile fish that
reach the size threshold for marine entry, ocean growth
and survival, in time elevating the numbers of fish that
return as adults.
Substrate. Both the size and spatial distributions of
substrate are important aspects of the channel that are
controlled by erosion, transport and deposition processes
of sediment. Sediment sorting is particularly significant in
coarse-bedded streams, for two reasons. First, selective
entrainment and hiding alter the mobility of different size
fractions to generate the bed armouring that is vital to
macro-invertebrate and spawning habitats. Second, self-
organization of moving grains by size creates clusters and
patches of differentially sized substrate (Brayshaw et al.,
1983), providing homes to a range of benthic organisms
with different habitat requirements. Substrate size and
sorting also interact with broader-scale hydraulic diversity
and sediment dynamics, with the result that bed sediment
sizes vary widely between, for example, the head and the
tail of bars and the upstream and lee sides of log jams.
Substrate characteristics have been shown not only to be
highly responsive to changes in the balance between sedi-
ment supply and local transport capacity but also to strongly
influence morphological evolution through the impacts of
fining and coarsening on flow resistance and bed mobility
(Simon and Thorne, 1996). Thus, changes in substrate
sorting and patchiness are associated with the evolutionary
stages in disturbed channels in ways that are highly signifi-
cant to habitat and ecosystem benefits.
Vegetation
Multiple attributes of aquatic, emergent, riparian and flood-
plain vegetation influence fluvial processes, channel morph-
ology, stream functions and hence the quality and diversity
of habitat. Vegetation that provides cover from predators,
moderates water temperature by shading and stabilizes
banks through root reinforcement may be removed during
channelization or operational maintenance, or undermined
by incision or widening. It follows that loss of vegetation,
particularly during Stages 2–6 in the SEM because of scale,
has the potential to degrade, compromise or eliminate a
significant proportion of the pre-disturbance habitat and
ecosystem benefits provided by vegetation.
Metrics used to represent the contribution of vegetation to
habitat and ecosystem benefits include the presence of plants
(aquatic, emergent, riparian and floodplain) together with
two further vegetative attributes: leaf litter production and
tree trunk recruitment to the fluvial system. The former sup-
ports primary production and hence the trophic status of the
watercourse, whereas the latter contributes indirect benefits
through cycling nutrients and carbon, generating hydraulic
and morphological diversity, promoting channel stability
and sediment storage capacity, enhancing substrate sorting
and patchiness, and driving shallow hyporheic flow.
Riparian succession is an important attribute whose
processes depend on channel migration and/or evolution
that topples climax communities and provides opportunities
for pioneer species and developing assemblages to create
new habitats that contribute fresh ecological benefits. How-
ever, realization of the benefits of plant successions depends
on the rate of colonization being able to match the pace at
which existing assemblages are removed (Shafroth et al.,
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2002), which is diminished during the more destructive
stages of disturbed channel evolution.
Habitat and ecosystem benefits
The natural ecological functioning of rivers is related to
hydromorphological complexity through provision of habi-
tat (Newson and Newson, 2000), and Thorp et al. (2010)
identified that most natural benefits increase with physical
complexity, peaking in streams featuring network channels
(i.e. with anabranching or anastomosing network plan-
forms). The attributes selected to represent habitat and
ecosystem benefits are described in the following sections
under the general headings of habitat, water quality, biota
and resilience. Table III details the unique habitat and
ecosystem benefits attributed to each stage of the SEM.
Habitat. Refugia from hydrologic extremes (flood and
drought) are important to the persistence of habitat and
ecosystem benefits. For example, fish will not persist in a
reach without refuge from high velocities, intense
turbulence and elevated turbidity during floods. Typical
refugia include marginal deadwaters, back channels and
off-line habitats such as side channels, oxbows and
wetlands that are accessible during floods. Flood refugia
may form at a variety of scales ranging from the lee of a
piece of in-stream wood (small) to hydraulically rough bar
tops (medium), to hydraulically connected floodplains
(large). Confluences and diffluences also provide flood
refugia because one channel usually carries the majority of
the flow and sediment, whereas fauna can easily access
calmer and clearer water in the other.
Drought refugia depend on the existence of morpho-
logical features such as deep pools and scour holes that are
hydrologically connected to the hyporheic and groundwater
zones. Typically, drought refugia are provided by free pools
found at bends and branch confluences, in streams with
well-developed pool–riffle sequences, and by forced pools
downstream from rock outcrops, log jams and tributary
junctions. It follows that the existence of flood and drought
refugia, and the ease with which aquatic animals can access
them, depend on the hydrologic, hydraulic, morphologic
and vegetative attributes of the stream, which are strongly
influenced by the stage of evolution.
The presence of exposed tree roots was also identified
as providing significant habitat and ecosystem benefits
because they fulfil multiple needs, for a range of animals,
during various life stages (Raven et al., 1998). For ex-
ample, exposed roots slow velocities and dampen turbu-
lence while providing cover from predators and shade
from direct sunlight, attributes functioning over a wide
range of flows.
Water Quality. Water quality is a fundamental attribute of
habitat and ecosystem benefits. The metrics selected to
represent it are clarity, temperature and nutrient cycling.
Water clarity is decreased by turbidity due to high
concentrations of total suspended solids. High total sus-
pended solid concentrations are associated with reach-
scale channel instability that generates elevated loads of
fine sediment derived from local and upstream bed scour
and bank retreat, together with the excessive concentra-
tions of fine organic matter that result from the wide-
spread destruction of vegetation in and around unstable
reaches, in addition to loading from upstream lakes and
wetlands.
The ranges of many aquatic species are limited by water
temperature, especially during droughts and summer dry
periods (Poole and Berman, 2001) when their survival
depends on base flows fed by seepage of relatively cool,
clear water from groundwater and/or spring-fed tributaries,
coupled with shade that limits direct sunlight from warming
stream water during daylight hours (Nielson et al., 1994;
Baxter and Hauer, 2000).
Whereas external factors control the net flux of heat to
the stream, the presence or absence of deep pools connected
to the hyporheic zone affect how water temperatures
respond (Triska et al., 1989; Poole and Berman, 2001). As
the exchange of water between the hyporheic zone and the
stream is influenced by substrate, bed topography and chan-
nel pattern (Poole and Berman, 2001), temperature response
is heightened during the early and middle stages of stream
evolution.
Nutrient cycling is vital to the stream environment and the
ecosystem it supports (Hynes, 1983). Nutrient processing is
heavily influenced by stream velocity, exchange between
the stream and the hyporheic zone, and the capacity of
aquatic and riparian sediment bodies and vegetation to store
and release nutrients. It follows that the capacity of the
stream to cycle nutrients effectively increases with the
extent of the wetted area relative to the flow and the degree
to which it is hydrologically connected to the floodplain,
hyporheic zone and groundwater, all of which are evolution-
ary stage dependent.
Biota. According to Newson and Newson (2000), ‘it is a
valid working principle in ecology that diversity of habitat,
if it can be described, paves the way for predictions of the
potential diversity of biota.’This principle is complimented
by the Riverine Ecosystem Synthesis model developed by
Thorpe et al. (2006), which predicts that biodiversity,
system metabolism and many other functional ecosystem
processes are enhanced by habitat complexity at the valley-
to-reach scale and which proposes that biocomplexity should
be related to hydrogeomorphic complexity. This is the case
because habitat diversity and niche availability increase with
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the diversity of channel and flow conditions. Ward and
Tockner (2001) suggested that it is hydrological connectivity
that controls biodiversity at the floodplain scale, and they
concluded that overall biodiversity peaks at intermediate
levels of connectivity. Thorp et al. (2010) capture this
succinctly, noting that ‘Biodiversity, as measured by species
richness and trophic feeding diversity, is usually greater in
physically complex [reaches] (Roach et al., 2009) because
habitat diversity is greater and opportunities for both fluvial
and floodplain specialists abound (Galat and Zweimüller,
2001).’In interpreting how habitat and ecosystem benefits
vary between stages in the SEM, these findings suggest
that biodiversity (expressed through species richness and
trophic diversity) is a representative biotic attribute that
should vary in relation both to the morphological diversity
of the channel and the extent and frequency of floodplain
connectivity.
The proportion of native plant species is another biotic
attribute relevant to evaluating the ecosystem benefits
provided by the stream and how benefits vary as the stream
evolves. Stages that involve channelization, incision or rapid
widening destroy established assemblages and provide
opportunities for invasive species to colonize eroding stream
banks, retreating terrace edges and accreting berms during
the middle stages of channel evolution. Theoretically, native
species should be better adapted to the more natural condi-
tions recovered during the latter stages of the SEM (Rey
Benayas et al., 2009), and they should, therefore, have a
competitive advantage over invasive species, although this
is by no means certain.
The foundation for a rich and robust ecosystem lies in
first-order and second-order productivities, selected as the
third biotic attribute in this evaluation. Thorpe et al. (2010;
70) note that ‘[Reaches] with a greater range of current
velocities and substrate types offer habitat niches for a greater
diversity and potential productivity of algae and vascular
plants.’It follows that productivity is in proportion to the
hydrological, hydraulic, morphological and vegetative diver-
sity of the stream.
Resilience. It is vital that the habitat and ecosystem benefits
provided by the stream persist over the periods necessary
for flora and fauna to become fully established, and
this depends on their life cycle and resilience. To be
considered resilient, habitat and ecosystem benefits must
be able to withstand disturbance in general, and floods and
droughts in particular. Hence, in evaluating habitat and
ecosystem benefits, resilience is represented by these
attributes.
Disturbance to the fluvial system may occur at the catch-
ment, reach or local scales and may result from a wide range
of events and activities that affect the flow regime, the sedi-
ment regime or the boundary characteristics of the channel
(Thorne et al., 2010). Drivers of catchment-scale disturb-
ance include climate change (temperature, precipitation,
rain–snow partitioning), land-use change (urbanization,
deforestation, afforestation, agricultural intensification, farm
abandonment), wild fires, volcanic eruptions and seismic
events. Reach-scale disturbances may result from natural
events (e.g. base level and valley slope changes due to
neotectonics, beaver introduction, or vegetation changes
due to infestation and die back) or anthropogenic impacts
associated with capital works and/or operational mainten-
ance for a variety of purposes (including flood control, land
drainage and navigation).
Generally, disturbance to the habitat and ecosystem
benefits provided by the affected reaches depends on the
type and extent of morphological response. In reaches that
have adjusted naturally to the prevailing flow and sediment
regimes, responses are distributed between the nine degrees
of freedom that an alluvial channel can change (Hey, 1978).
This allows dynamically adjusted streams to remain in
meta-stable equilibrium, so that they absorb disturbances
while continuing to provide pre-disturbance habitat and
ecosystem benefits. Conversely, in reaches that are
unstable or which are constrained artificially, responses are
focused in fewer of the degrees of freedom (Hey, 1978), which
focuses and amplifies the morphological responses to disturb-
ance so that habitat and ecosystem benefits are degraded or
destroyed. These characteristics of response to disturbance
have been considered in evaluating resilience as a function of
channel evolution.
It has long been recognized that disturbance by flood
events is essential to support biocomplexity (Junk et al.,
1989) and natural hydrological patterns feature prominently
in the RAS model of Thorpe et al. (2006). However, floods
that are amplified by catchment changes, mistimed due to
manipulation of the hydrological regime or constrained
within constructed or incised channels may not benefit biota,
especially native species that are adapted to the frequency,
duration and seasonality of natural events.
With this background, resilience to floods becomes
important to the on-going delivery of habitat and ecosystem
benefits. The severity of flood impacts is largely related to
the availability of floodplain space where the stream can
diffuse and store flood flows. Consequently, channelization
and incision reduce resilience during the middle Stages 2–6
of the SEM because the channel is isolated from its
floodplain and floods are confinedtoareducedarea,exag-
gerating negative impacts on channel morphology and
sediment dynamics and reducing the extent and accessibil-
ity of refugia. These effects are partially reversed during
late-stage evolution when a new (proto) floodplain devel-
ops within the incised canyon, although resilience cannot
fully recover to its pre-disturbance level unless the channel
aggrades sufficiently that it reconnects with an original
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floodplain that is, itself, still capable of functioning hydro-
logically and geomorphologically.
Drought resilience is primarily governed by the existence
of deep pools fed by perennial flow from groundwater and/
or spring-fed tributaries, coupled with the ameliorating
effects of shading and connectivity with an extensive hypor-
heic zone. That said, ephemeral channels can still support
rich and diverse ecosystems provided that aquatic and
amphibious fauna are suitably adapted and have access
to proximal subsurface drought refugia, although deeply
desiccated reaches will require recolonization by primary
and secondary biota, which lengthens recovery times. It
follows that instability that scours or clogs bed sedi-
ments, reduces morphological diversity and destroys in-
channel and riparian vegetation will reduce drought
resilience.
EVALUATION OF STREAM ATTRIBUTES AND
HABITAT AND ECOSYSTEM BENEFITS
The physical and vegetative attributes associated with each
of the eight stages in the SEM are evaluated in Table II,
whereas the habitat and ecological benefits are evaluated in
Table III. On the basis of the evaluations set out in Tables II
and III, scores were assigned to the attributes and benefits
associated with each SEM stage according to an ordinal scale
where 3 = abundant and fully functional, 2 = present and func-
tional, 1 = scarce and partly functional, and 0 = absent or
dysfunctional.
The scores for each stage in the SEM are listed in
Tables IV and V, together with the sums for each SEM stage
compared with the maximum possible score. The results are
illustrated in Figure 6.
Table IV. Scores for the physical and vegetative attributes for each stage in the Stream Evolution Model. Scores are based on an ordinal scale
where 3 = abundant and fully functional, 2= present and functional, 1 =scarce and partly functional and 0 = absent or dysfunctional
B. CLUER AND C. THORNE148
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Physical and vegetation attribute scores are highest (92%)
for Stage 0 streams (pre-disturbance, anastomosing network)
but fall to a low of just 8% for streams in the Stage 4-3
short-circuit (degraded with renewed incision). Stage 8
streams provide the second highest scores, reflecting stream
recovery to something near its pre-disturbance (Stage 0)
configuration. However, whereas in Stage 8 the stream
possesses all the physical and vegetative attributes and pro-
vides the full range of the ecosystem benefits present in Stage
0 (i.e. its pre-disturbance condition), Stage 8 scores are some-
what lower because the stream system is smaller; it is inset into
a narrower functional floodplain.
Scores for the early and late stream Stages (0, 1 and 7, 8),
where floodplain attributes and processes are prominent, are
distinctly different from those Stages in-between (2 to 6).
The most abrupt change in stream attributes and benefits is
the precipitous decline in both that occurs between Stages
1 and 2 because of the direct effects of channelization and
Stage 3 when incision disconnects the channel from its
floodplain.
A hysteresis loop is revealed when benefits scores are
plotted as a function of the stream’s hydrogeomorphic attri-
butes (Figure 7). It is apparent that the habitat and ecosystem
benefits provided by streams recover less quickly, and less
completely, following disturbance than do the correspond-
ing hydrogeomorphic attributes. Over short time scales, the
loop is likely broader because of delays in colonization
and the cumulative effects in physical and ecological
processes common to disturbed catchments.
DISCUSSION AND IMPLICATIONS OF THE STREAM
EVOLUTION MODEL FOR RIVER MANAGEMENT
AND RESTORATION
The SEM advances the lasting value of the CEMs originated
by Schumm et al. (1984) and Simon and Hupp (1986).
It builds on these models, taking advantage of advances
in knowledge and improved understanding of process-
response mechanisms and links between morphology, habi-
tat and ecosystem benefits made during the quarter century
since they were conceived. This is done by redefining the
pre-disturbance and post-recovery morphologies, replacing
linear progression with an evolutionary cycle, broadening
the scale to consider streams in their catchment rather than
simply as incised channels and linking habitat and ecosys-
tem benefits to physical attributes and system responses to
disturbance.
In common with the original CEMs, the SEM offers users
interested in system-wide processes rather than reach-
specific morphological characteristics the opportunity to
undertake space-for-time substitution. In essence, this
Table V. Scores for the habitat and ecosystem benefits for each stage of the Stream Evolution Model. Scores are based on an ordinal scale
where 3 = abundant and fully functional, 2= present and functional, 1 =scarce and partly functional and 0 = absent or dysfunctional
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 149
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DOI: 10.1002/rra
involves replacing the time dimension in the model with
distance from disturbance. When the SEM is considered in
the catchment context (Figure 8), what emerges immediately
is the value of conserving or restoring the processes
that characterize sediment transport at the reach scale. For
example, mid-catchment basins moderate sediment delivery
events or elevate prolonged loads and therefore buffer
sediment impacts to more responsive downstream reaches.
If sediment exchange reaches are turned into sediment
transfer reaches by channelization, flood control projects,
or widespread bank revetment, downstream sediment loads
and calibres will increase, transmitting disturbances down-
stream that could have been moderated upstream and risking
overwhelming the capacities of lowland channels, riparian
zones, floodplains and associated wetlands to assimilate
sediment without damaging those relatively more valuable
reaches. Sediment accumulation in mid-catchment fans or
alluvial basins is the natural process by which sediment
pulses are processed in naturally functioning catchments.
This process not only ameliorate the impacts of coarse
sediment delivery in lowland reaches downstream but also
provides the mechanism by which Stage 1 or 7 streams
may attain the networks representative of Stage 0 or 8 that
result in comparatively greater ecological benefits. More
generally, Figure 8 reminds end-users that stream evolution
pathways and habitat outcomes depend on the position
within the catchment as well as the type and severity of
the disturbance.
The SEM provides a lens for viewing reach-scale inter-
ventions (such as widespread bank stabilization intended
to manage sediment, sometimes considered a pollutant in
regulatory policies) when catchment-scale problems are the
root cause of elevated sediment loads (Doyle and Shields,
2012; Hupp et al., 2013). The SEM not only helps to iden-
tify the possible unintended consequences of invoking these
actions but also indicates the potential value of re-activating
sediment exchange and storage functions in mid-catchment
alluvial reaches that can buffer the more sediment-sensitive
reaches downstream, while transforming single-thread,
meandering channels into more ecologically valuable chan-
nel networks. This re-emphasizes the importance of longitu-
dinal and lateral connectivity in the sediment system and the
disproportionate risks of disconnecting alluvial streams
from sediment sink and source processes (i.e. floodplain).
Figure 6. Habitat and ecosystem benefits provided in each stage of the Revised Channel Evolution Model. Each stage is represented by two
pie charts whose diameters signify the relative percentage of maximum benefits as tabulated in Tables IV and V. For each stage, the pie chart
on the left summarizes the richness and diversity of the hydromorphic attributes, whereas the pie chart on the right summarizes the associated
habitat and ecosystem benefits
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DOI: 10.1002/rra
The SEM differs from its CEM predecessors in being
expressed as a cycle rather than a linear succession of
morphological states and adjustments. This recognizes that
vertical adjustments, lateral changes, and channel instability
and recovery often occur cyclically, with multiple episodes of
channel degradation/aggradation, widening/narrowing and en-
largement/shrinkage being generated through complex response
to a single external disturbance or the crossing of one or more
internal, geomorphic thresholds. The result is for late-stage
morphologies to be nested within the boundaries of channels
produced by earlier evolutionary stages, although a valley-fill
cycle may result in a larger and richer end-stage network.
The SEM also recognizes that local and site-specific
conditions may cause short-circuits in the cycle with, for
example, repeated cycles of degradation. Similarly, the
expected sequence of post-disturbance evolution may be
arrested by natural controls (e.g. geologic or vegetation),
or reversed by new disturbances (e.g. sediment pulses or
afforestation), or perpetuated by management interventions.
These processes turn what would otherwise be transitional
stages into longer term configurations and limit recovery
of habitat and ecosystem benefits.
Making strategic and cost-effective river management
decisions has never been more important, as stresses on
aquatic systems will increase as human demands for land
and water rise. It is now recognized that fluvial functions
are fundamental to the generation of natural capital and
providing the ecosystem services upon which civilization
depends. It is also accepted that past efforts to channelize
and minimize rivers have depleted natural capital and
Figure 8. Process domains in the fluvial system associated with the Revised Channel Evolution Model. Domains in a river basin can be
generally characterized as governed by supply, exchange/transfer or deposition of sediments. Channelization or embankments in the Alluvial
fan and Transfer zones diminish beneficial sediment deposition processes and artificially promote downstream transfer of coarse sediment and
compromise habitats less resilient to increased sediment loads
Figure 7. Plot of habitat and ecosystem benefits as a function of
hydrogeomorphic attributes, from Tables IV and V. There are gen-
erally two fields, streams that have greater than 50% of the hydro-
geomorphic attributes and habitat and ecosystem benefits, and
streams with less than 30%, while Stage 6 streams are intermediate.
The most abrupt difference between adjacent stages is from 1 to 2,
where scores drop from nearly 75% to less than 25% in constructed
channels, primarily because of floodplain disconnection. A hyster-
esis loop reveals that habitat and ecosystem benefits recover less
quickly and less completely than do the corresponding hydrogeo-
morphic attributes over long time scales, and likely, the loop is
broader over short times scales
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 151
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severely damaged ecosystem services overall. Globally, many
alluvial systems that formerly exchanged sediment freely
with their floodplains are now levee confined, channelized
and incised. In their earlier condition, these rivers could
accept, store and exchange periodic heavy floods and
inputs of sediment and nutrients generated by disturbances
upstream, such as widespread land sliding triggered by
extreme rainfall, wildfires and even volcanic eruptions; and
buffering downstream depositional reaches from excessive,
coarse sedimentation and other impacts. The result of the past
and continuing emphasis placed on flood control, land
drainage and property stability has been to sensitize fluvial
systems to sediment disturbances and systemic imbalances.
Elimination of sediment deposition and exchange processes
from basins makes the downstream environments vulnerable
to damage by singular events and less resilient to chronic
impacts of climate and land-use changes.
River restoration efforts typically focus on the geometry
of channels with the goals of reducing and then balancing
sediment loads at the reach scale, effectively attempting to
turn every reach into a sediment transfer zone. This perpetu-
ates an erroneous approach to management of the alluvial
channel system and may partially explain why the regener-
ation of high-quality habitat remains limited (Doyle and
Shields, 2012) and restoration of freshwater ecosystems
remains elusive (Bernhardt and Palmer, 2011): the channels
in most alluvial reaches are restored to forms equivalent to
Stages 3–6 in the SEM. These relatively low value forms
are then preserved through stabilization measures. Even
though using soft engineering and natural materials such
as biotechnical revetments and large wood has become com-
mon, stabilization impedes the fluvial processes that could
drive continued evolution to the substantially more resilient
and valuable Stages 7 and 8.
The implications for river management that stem from the
SEM are that stabilizing channels in Stages 2 to 5 is not only
costly (requiring maintenance) and risky (places people and
property in hazardous locations) but also ecologically
counterproductive. Restoring streams to Stage 6 is also a
relatively ineffective strategy because without floodplain,
they are largely non-deformable and less resilient to future
catchment disturbances. Acceleration of natural evolution
by intervening to move the channel forward through the
cycle to Stage 7 or even 8 is suggested, or strategically
planning for a deformable Stage 6 that can suitably respond
to a future catchment disturbance event such as dam
removal. Where Stage 0-1 or 7-8 channels exist, maintaining
existing or enhancing degraded sediment deposition zones
upstream would be a valuable long-term conservation
strategy. While the advantages of a channel network in
terms of moderating sediment transfer, promoting sediment
exchange and enhancing the sediment processing functions
offered by the active floodplain of an alluvial valley are well
established and ecologically superior, constraints imposed
by development and/or infrastructure may complicate, delay
or prevent this as a restoration goal.
The decision to aim for single-thread, active meandering
(Stage 7) or prompted recovery of an anastomosing channel
network (Stage 8) will be constrained by space that can be
made available for lateral migration and stream evolution.
‘Passive restoration’through ceasing periodic de-silting
and maintenance of Stage 2 channels can rapidly transform
to a Stage 7 (active meandering) or 8 (an anastomosed
network), provided floodplain space is available or obtained
through strategic retreat.
The arguments advanced here concerning sediment
processes in the middle reaches of incised alluvial basins
are just one example of how the SEM could be used to
provide a framework for improved catchment management
and decision making in river restoration. Aligning manage-
ment and restoration objectives with SEM stages and evolu-
tionary trends can promote rather than counteract natural
processes. Adopting stream management approaches that
enhance natural evolution require more space than those
set on impeding it, but they hold the promises of increasing
biodiversity, promoting recovery of endangered species,
improving the resilience and sustainability of ecosystem
services both in the restored reach and those downstream,
optimizing climate resilience, minimizing risks to property
and human safety, and maximizing returns on restoration
investments.
ACKNOWLEDGEMENTS
The advice given by two anonymous reviewers led to
substantial improvements to the original manuscript, and we
are deeply indebted to Professor Stanley A. Schumm for a life-
time of original thinking and scientific progress in river science
and management, and for his willingness to share his insights.
REFERENCES
Amoros C, Bornette G. 2002. Connectivity and biocomplexity in water-
bodies of riverine floodplains. Freshwater Biology 47: 761.
Baxter CV, Hauer FR. 2000. Geomorphology, hyporheic exchange, and
selection of spawning habitat by bull trout. Canadian Journal of Fisher-
ies and Aquatic Sciences 57: 1470–1481.
Bêche LA, Connors PG, Resh VH, Merenlender AM. 2009. Resilience of
fishes and invertebrates to prolonged drought in two California streams.
Ecography 32:778–788, 2009. DOI: 10.1111 /j.1600-0587.2009.05612.x
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
28:891–905.
Bell E, Duffy WG, Roelofs TD. 2001. Fidelity and survival of juvenile
coho salmon in response to a flood. Transactions of the American
Fisheries Society 130: 450.
Benda L, Poff NL, Miller D, Dunne T, Reeves G, Pess G, Pollock M. 2004.
The network dynamics hypothesis: how channel networks structure river-
ine habitats. BioScience 54(5): 413. DOI: 10.1641/0006-3568(2004)054
[0413:TNDHHC]2.0.CO;2)
B. CLUER AND C. THORNE
152
Copyright © 2012 John Wiley & Sons, Ltd. River Res. Applic. 30: 135–154 (2014)
DOI: 10.1002/rra
Bernhardt ES, Palmer MA. 2011. River restoration: the fuzzy logic of
repairing reaches to reverse catchment scale degradation. Ecological
Applications 21(6): 1926–1931.
Bledsoe BP, Brown MC, Raff DA. 2007. GeoTools: a toolkit for fluvial
systems analysis. Journal American Water Resources 43(3): 757–772.
Bond MH, Hayes SA, Hanson CV, MacFarlane RB. 2008. Marine survival
of steelhead (Oncorhynchus mykiss) enhanced by a seasonally closed
estuary. Canadian Journal of Fisheries and Aquatic Sciences 65: 2242.
DOI: 10.1139/F08-131.
Boulton AJ, Findlay S, Marmonier P, Stanley EH, Valett HM. 1998. The
function significance of the hyporheic zone in streams and rivers. Annual
Review of Ecology and Systematics 29:59–81.
Bovee KD, Lamb BL, Bartholow JM, Stalnaker CB, Taylor J, Henriksen J.
1998. Stream habitat analysis using the instream flow incremental method-
ology. Information and Technology Report USGS/BRD/ITR-1998-0004.
U.S. Geological Survey Biological Resources Division, Fort Collins, CO.
Brayshaw AC, Frostick LE, Reid I. 1983. The hydrodynamics of particle
clusters and sediment entrapment in coarse alluvial channels. Sedimentol-
ogy 30(1): 137–143.
Brookes A. 1988. Channelized rivers: perspectives for environmental
management. John Wiley and Sons: Chichester, UK; 326.
Brown AG, Sear DA. 2008. ‘Natural’streams in Europe: their form and role
in carbon sequestration. Eos Transactions.AGU, Fall Meet. Supplement.
Collins BD, Montgomery DR, Sheikh AJ. 2003. Reconstructing the historic river-
ine landscape of the Puget Lowland. In Restoration of Puget Sound Rivers,
Montgomery DR, et al. (eds). University of Washington Press: Seattle; 79–128.
Dahl TE, Allord GJ. 1996. History of wetlands in the conterminous United
States. U.S. Geol. Survey Water-Supply Paper 2425.
Downs PW, Gregory KJ. 2004. River Channel Management: Towards Sus-
tainable Catchment Hydrosystems. Arnold: London; 395.
Doyle MW, Shields FD. 2000. Incorporation of bed texture into a channel
evolution model. Geomorphology 34: 291–309.
Doyle MW, Shields FD. 2012. Compensatory mitigation for streams under
the Clean Water Act: reassessing science and redirecting policy. Journal
American Water Resources Association:1–16. DOI: 10.1111/j.1752-
1688.2011.00631.x
Doyle MW, Shields D, BoydCF, Skidmore PB, Dominick D. 2007. Channel-
forming discharge selection in river restoration design. Journal Hydraulic
Engineering: 831. DOI: 10.1061/_ASCE_0733-9429_2007_133:7_831_
Galat DL, Zweimüller I. 2001. Conserving large-river fishes: is the highway
analogy an appropriate paradigm? Journal of the North American
Benthological Society 20: 266–279.
Gordon ND, McMahon TA, Finlayson BL. 1992. Stream Hydrology: An
Introduction for Ecologists. Wiley: Chichester, UK.
Grossinger RM, Striplen CJ, Askevold R, Brewster E, Beller EE. 2007. His-
torical landscape ecology of an urbanized California valley: wetlands and
woodlands in the Santa Clara Valley. Landscape Ecology 22: 103–120.
Gurnell A, Petts G. 2006. Trees as riparian engineers: the Tagliamento
River, Italy. Earth Surface Processes and Landforms 31: 1558–1574.
Habersack H, Piégay H. 2008. River restoration in the Alps and their sur-
rounding: past experience and future challenges. In Gravel-Bed Rivers
VI: From Process Understanding to River Restoration, Habersack H,
Piégay H, Rinaldi M (eds). Elsevier: Amsterdam; 703–737.
Harper DM, Smith CD, Barham PJ. 1995. The ecological basis for management
of the natural river environment. In The Ecological Basis for River Manage-
ment, Harper DM, Ferguson ACD (eds). Wiley: Chichester; 219–38.
Hartman GF, Brown TG. 1987. Use of small, temporary, floodplain
tributaries by juvenile salmonids in a west coast rain-forest drainage
basin, Carnation Creek, British Columbia. Canadian Journal Fisheries
Aquatic Science 44: 262–270.
Harwood K, Brown AG. 1993. Fluvial processes in a forested anastomosing
river: flood partitioning and changing flow patterns. Earth Surface
Processes and Landforms 18(8): 741–748.
Hawley RJ, Bledsoe BP, Stein ED, Haines BE. 2011. Channel evolution
model of semiarid stream response to urban-induced hydromodification.
Journal American Water Resources Association 48(4): 722–744.
Hayes SA, Bond MH, Hanson CV, Freund EV, Smith JJ, Anderson EC,
Ammann, A, MacFarlane RB. 2008. Steelhead growth in a small central
California watershed: upstream and estuarine rearing patterns. Transactions
of the American Fisheries Society 137: 114. DOI: 10.1577/T07-043.1.
Henning JA, Gresswell RE, Fleming IA. 2006. Juvenile salmonid use
of freshwater emergent wetlands in the floodplain and its implications
for conservation management. North American Journal Fisheries
Management 26: 367–376. DOI: 10.1577/M05-057.1
Hey RD. 1978. Determinate hydraulic geometry of river channels. Journal
of the Hydraulics Division, ASCE. 104(6): 869–885.
Hynes HBN. 1983. Groundwater and stream ecology. Hydrobiologia 100:
93–99.
Hupp CR, Noe GB, Schenk ER, Benthem AJ. 2013. Recent and historic
sediment dynamics along Difficulty Run, a suburban Virginia Piedmont
stream. Geomorphology 180–181: 156–169.
Jeffres CA, Opperman JJ, Moyle PB. 2008. Ephemeral floodplain
habitats provide best growth conditions for juvenile Chinook salmon in
a California river. Environ Biol Fish 83: 449–458. DOI: 10.1007/
s10641-008-9367-1.
Junk WJ, Bayley PB, Sparks RE. 1989. The flood pulse concept in river-
floodplain systems. Canadian Special Publication of Fisheries and
Aquatic Sciences 106: 110–127.
King JM, Tharme RE. 1993. Assessment of the instream flow incremental
methodology and initial development of alternative instream flow
methodologies for South Africa. Report 295/1/94. Pretoria: Water
Research Commission,South Africa.
Kondolf GM. 2009. Fluvial geomorphology and river restoration: uneasy
allies. Eos Trans.AGU, 90(52), Fall Meet.Suppl., Abstract H52D-01.
Kondolf GM, Tompkins MR. 2008. Floodplain disconnection, changes in
river corridor complexity, and implications for river restoration along
lower Deer Creek, Tehama County, CA. AGU Fall Meeting Abstracts.
Lancaster J, Hildrew AG. 1993. Characterizing instream flow refugia. Can.
Jour. Fish. Aqua. Sci. 50: 1663–75.
Leopold LB, Maddock TJJr. 1953.The hydraulic geometry of stream channels
and some physiographic implications. USGS Reports, Paper 252.
Lewis WMJr. 2001. Wetlands Explained: Wetland Science, Policy, and
Politics in America. Oxford Press: New York.
Little WC, Thorne CR, Murphey JB. 1981. Mass bank failure analysis of
selected Yazoo basin streams. Transactions of the American Society of
Agricultural Engineers 25(5): 1321–1328.
Marston RA, Girel J, Pautou G, Piegay H, Bravard JP, Arneson C. 1995.
Channel metamorphosis, floodplain disturbance, and vegetation develop-
ment: Ain River, France. Geomorphology 13(1–4): 121–131.
Merritts D, Walter R, Rahnis M, Hartranft J, Cox S, Gellis A, Potter N, Hilgartner
W, Langland M, Manion L, Lippincott C, Siddiqui S, Rehman Z, Scheid C,
Kratz L, Shilling A, Jenscheke M, Datin K, Cranmer E, Reed A,
Matuszewski D, Voli M, Ohlson E, Neugebauer A, Ahamad A, Neal C,
Winter A, Becker S. 2011. Anthropocene streams and base-level controls from
historic dams in the unglaciated mid-Atlantic region, USA. Philosophical
Transactions Royal Society 369:976–1009. DOI: 10.1098/rsta.2010.0335.
Montgomery DR. 2004. Geology, geomorphology, and the restoration
ecology of salmon. GSA Today:14–11. DOI: 10.1130/1052-5173.
Montgomery DR. 2008. Dreams of natural streams. Science 319: 291.
DOI: 10.1126/science.1153480
Newson MD, Newson CL. 2000. Geomorphology, ecology and river
channel habitat: mesoscale approaches to basin-scale challenges. Progress
in Physical Geography 24(2): 195–217.
Nielson JL, Lisle TE, Ozaki V. 1994. Thermally stratified pools and their
use by steelhead in northern California streams. Transactions of the
American Fisheries Society 123: 613–626.
SEM INCORPORATING HABITAT AND ECOSYSTEM BENEFITS 153
Copyright © 2012 John Wiley & Sons, Ltd. River Res. Applic. 30: 135–154 (2014)
DOI: 10.1002/rra
Padmore CL. 1997. Biotopes and their hydraulics: a method for determining
the physical component of freshwater habitat quality. In Freshwater
Quality: Defining the Indefinable, Boon PJ, Howell DL (eds). HMSO:
Edinburgh; 251–57.
Palmer MA, Bernhardt ES, Allan JD, Lake PS, Alexander G, Brooks S,
Carr J, Clayton S, Dahm CN, Follstad Shah J, Galat DL, Loss SG,
Goodwin P, Hart DD, Hassett B,Jenkinson R, Kondolf GM, Lave R, Meyer
JL, O’Donnel TK, Pagano L, Sudduth E. 2005. Standards for ecologically
successful river restoration. Journal of Applied Ecology 42:208–217.
DOI: 10.1111/j.1365-2664.2005.01004.x
Phillips JD. 1992. The end of equilibrium? Geomorphology 5(3–5): 195–201.
Phillips JD. 1999. Divergence, convergence, and self-organization in landscapes.
Annals of the Association of American Geographers 89(3): 466–488.
Phillips JD. 2009. Changes, perturbations, and responses in geomorphic
systems. Progress in Physical Geography 33(1): 17–30.
Poff NL, Allan JD, Bain MB, Karr JR, Prestegaard KL, Richter B, Sparks R,
Stromberg J. 1997. The natural flow regime: a new paradigm for riverine
conservation and restoration. BioScience 47:769–784.
Pollock MM, Heim M, Werner D. 2003. Hydrologic and geomorphic effects
of beaver dams and their influence on fishes. AFS Symposium 37:213–233.
Poole GC, Berman CH. 2001. Pathways of human influence on water
temperature dynamics in stream channels. Environmental Management
27: 787–802.
Raven PJ, Holmes NTH, Fox PA, Dawson FH, Everard M, Fozzard IR, Rouen
KJ. 1998. River Habitat Quality: The Physical Character of Rivers and
Streams in the UK and the Isle of Man. Environment Agency: Bristol.
Rey Benayas JM, Newton AC, Díaz A, Bullock JM. 2009. Enhancement of
biodiversity and ecosystem services by ecological restoration: a meta-
analysis. Science 325: 1121–1124.
Rice SP, Greenwood MT, Joyce CB. 2001. Tributaries, sediment sources,
and the longitudinal organization of macrointertebrate fauna along river
systems. Canadian Journal Fisheries Aquatic Science 58: 824–840.
Roach KA, Thorp JH, Delong MD. 2009. Influence of lateral gradients of
hydrologic connectivity on trophic position of fishes in the upper Missis-
sippi River. Freshwater Biology 54: 607–620.
Roni P, Morley SA, Garcia P, Detrick C, King D, Beamer E. 2006. Coho
salmon smolt production from constructed and natural floodplain
habitats. Transactions of the American Fisheries Society 135:1398–1408.
DOI: 10.1577/T05-296.1
Schoof R. 1980. Environmental impact of channel modification. Water
Resources Bulletin 16(4): 697–701.
Schumm SA, Harvey MD, WatsonCC. 1984. Incised Channels: Morphology,
Dynamics, and Control. Water Resources Publications: Littleton, CO.
Schwartz JS, Herricks EE. 2005. Fish use of stage-specificfluvial habitats
as refuge patches during a flood in a low-gradient Illinois stream. Journal
Fisheries Aquatic Science 62: 1540–1552.
Sear DA, Arnell NW. 2006. The application of palaeohydrology in river
management. Catena 66(1-2): 169–183.
Shafroth PB, Stromberg JC, Patten DT. 2002. Riparian vegetation response
to altered disturbance and stress regimes. Ecological Applications 12(1):
107–123.
Shields FD. 2009. Do we know enough about controlling sediment to mitigate
damage to stream ecosystems? Ecological Engineering 35:1727–1733.
Simon A, Darby SE. 2002. Effectiveness of grade-control structures in
reducing erosion along incised river channels: the case of Hotophia
Creek, Mississippi. Geomorphology 42(3): 229–254.
Simon A, Hupp CR. 1986. Geomorphic and vegetative recovery processes
along modified Tennessee streams: an interdisciplinary approach to
disturbed fluvial systems. Forest Hydrology and Watershed Management.
IAHS-AISH Publ.167.
Simon A, Thorne CR. 1996. Channel adjustment of an unstable coarse-
grained stream: opposing trends of boundary and critical shear stress,
and the applicability of extremal hypotheses. Earth Surface Processes
and Landforms 21(2): 155–180.
Stanford JA, Ward JV. 1988. The hyporheic habitat of river ecosystems.
Nature 335:64–66.
Surian N, Rinaldi M. 2003. Morphological response to river engineering
and management in alluvial channels in Italy. Geomorphology 50(4):
307–326.
Thorne CR. 1999. Bank processes and channel evolution in the incised riv-
ers of North–Central Mississippi. In Incised River Channels, Darby SE,
Simon A (eds). J Wiley: Chichester, UK, ISBN 0-471-98446-9; 97–122.
Thorne CR, Murphey JB, Little WC. 1981. Bank stability and bank material
properties in the bluffline streams of North–West Mississippi. Appendix
D, Report to the Corps of Engineers, Vicksburg District under Section 32
Program, Work Unit 7 prepared by USDA-ARS Sedimentation Laboratory,
Box 1157, Oxford, Mississippi, DeCoursey DG (ed), April 1981, 258 p.
Thorne CR, Soar PJ, Skinner KS, Sear DA, Newson MD. 2010. Investigat-
ing, characterising and managing river sediment dynamics. In Guidebook
of Applied Fluvial Geomorphology, Sear DA, Newson MD, Thorne CR
(eds). Thomas Telford: London; 120–195.
Thorp JH, Thoms MC, Delong MD. 2006. The riverine ecosystem synthe-
sis: biocomplextity in river networks across space and time. River Re-
search and Applications 22: 123–147.
Thorp JH, Flotemersch JE, Delong MD, Casper AF, Thoms MC,
Ballantyne F, Williams BS, O’Neill BJ, Haase S. 2010. Linking ecosys-
tem services, rehabilitation, and river hydrogeomorphology. BioScience
60:67–74. DOI: 10.1525/bio.2010.60.1.11
Tompkins M. 2006. Floodplain connectivity and river corridor complexity:
implications for river restoration and planning for floodplain manage-
ment. Dissertation University California Berkeley,CA. 392 p.
Triska FJ, Kennedy VC, Avanzino RJ, Zellweger GW, Bencala KE. 1989.
Retention and transport of nutrients in a third-order stream in northwestern
California: hyporheic processes. Ecology 70:1893–1905.
Walter RC, Merrits DJ. 2008. Natural streams and the legacy of water-
powered mills. Science 319: 299. DOI: 10.1126/science.1151716
Ward JV, Tockner K. 2001. Biodiversity: towards a unifying theme for
river ecology. Freshwater Biology 46: 807–819.
Williams JG. 2010. Lost in space, the sequel: spatial sampling issues with
1-D PHABSIM. River Research and Applications 26: 341–352. DOI:
10.1002/rra.1258.
Woelfle-Erskine C, Wilcox AC, Moore JN. 2012. Combining historical and
process perspectives to infer ranges of geomorphic variability and inform
river restoration in a wandering gravel-bed river. Earth Surface Processes
and Landforms. DOI: 10.1002/esp.3276
Wohl E, Angermeier PL, Bledsoe B, Kondolf GM, MacDonnell L, Merritt
DL, Palmer MA, Poff NL, Tarboton D. 2005. River restoration. Water
Resources Research 41: W10301. DOI: 10.1029/ 2005WR003985.
Wolman MG. 1955. the natural channel of Brandywine Creek, Pennsylvania.
USGS Professional Paper 271.
Wolman MG, Leopold LB. 1957. River flood plains: some observations on
their formation. USGS Professional Paper 282-C. 87–107.
B. CLUER AND C. THORNE
154
Copyright © 2012 John Wiley & Sons, Ltd. River Res. Applic. 30: 135–154 (2014)
DOI: 10.1002/rra