<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing with OASIS Tables v3.0 20080202//EN" "journalpub-oasis3.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:oasis="http://docs.oasis-open.org/ns/oasis-exchange/table" xml:lang="en" dtd-version="3.0"><?xmltex \bartext{Innovative water resources management --  understanding and balancing interactions between humankind and nature}?>
  <front>
    <journal-meta><journal-id journal-id-type="publisher">PIAHS</journal-id><journal-title-group>
    <journal-title>Proceedings of the International Association of Hydrological Sciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">PIAHS</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Proc. IAHS</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">2199-899X</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/piahs-379-67-2018</article-id><title-group><article-title>Assessment of freshwater ecosystem services in <?xmltex \hack{\break}?> the Beas River Basin,
Himalayas region, India
</article-title><alt-title>Freshwater ecosystem services in India</alt-title>
      </title-group><?xmltex \runningtitle{Freshwater ecosystem services in India}?><?xmltex \runningauthor{S.~Ncube et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Ncube</surname><given-names>Sikhululekile</given-names></name>
          <email>s.ncube@hw.ac.uk</email><email>snmancue@gmail.com</email>
        <ext-link>https://orcid.org/0000-0001-6930-9135</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Beevers</surname><given-names>Lindsay</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-1597-273X</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Adeloye</surname><given-names>Adebayo J.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-2820-4596</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Visser</surname><given-names>Annie</given-names></name>
          
        <ext-link>https://orcid.org/0000-0003-1787-6239</ext-link></contrib>
        <aff id="aff1"><institution>Institute for Infrastructure and Environment, School of Energy,
GeoScience,<?xmltex \hack{\break}?> Infrastructure and Society, Heriot-Watt University, Edinburgh,
EH14 4AS, UK</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Sikhululekile Ncube (s.ncube@hw.ac.uk, snmancue@gmail.com)</corresp></author-notes><pub-date><day>5</day><month>June</month><year>2018</year></pub-date>
      
      <volume>379</volume>
      <fpage>67</fpage><lpage>72</lpage>
      <history>
        <date date-type="received"><day>30</day><month>December</month><year>2017</year></date>
           <date date-type="rev-recd"><day>4</day><month>April</month><year>2018</year></date>
           <date date-type="accepted"><day>5</day><month>April</month><year>2018</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018.html">This article is available from https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018.html</self-uri><self-uri xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018.pdf">The full text article is available as a PDF file from https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018.pdf</self-uri>
      <abstract>
    <p id="d1e104">River systems provide a diverse range of ecosystem
services, examples include: flood regulation (regulating), fish
(provisioning), nutrient cycling (supporting) and recreation (cultural).
Developing water resources through the construction of dams (hydropower or
irrigation) can enhance the delivery of provisioning ecosystem services.
However, these hydrologic alterations result in reductions in less tangible
regulating, cultural and supporting ecosystem services. This study seeks to
understand how multiple impoundments, abstractions and transfers within the
upper Beas River Basin, Western Himalayas, India, are affecting the delivery
of supporting ecosystem services. Whilst approaches for assessing supporting
ecosystem services are under development, the immediate aim of this paper is
to set out a framework for their quantification, using the macroinvertebrate
index Lotic-Invertebrate Index for Flow Evaluation (LIFE). LIFE is a
weighted measure of the flow velocity preferences of the macroinvertebrate
community. Flow records from multiple gauging stations within the basin were
used to investigate flow variability at seasonal, inter-annual and decadal
time scales. The findings show that both mean monthly and seasonal
cumulative flows have decreased over time in the Beas River Basin. A
positive hydroecological relationship between LIFE and flow was also
identified, indicative of macroinvertebrate response to seasonal changes in
the flow regime. For example, high LIFE scores (7.7–9.3) in the winter and
summer seasons indicate an abundance of macroinvertebrates with a preference
for high flows; this represents a high potential for instream supporting
ecosystem services delivery. However, further analysis is required to
understand these hydroecological interactions in the study basin and the
impact on instream supporting ecosystem services delivery.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e114">River systems provide an array of ecosystem services, ranging from tangible
benefits such as freshwater supply (provisioning) to the less tangible where
examples include religious enrichment (cultural), climate regulation
(regulating) and nutrient cycling (supporting) (Gilvear et al., 2017). Some
riverine ecosystem services may be enhanced through the development of water
resources such as the construction of dams for hydropower and/or irrigation
to meet prioritised human needs. However, there are often trade-offs between
the ecosystem service categories, with downstream ecosystems and the
ecosystem services they provide, paying the price (Millennium Ecosystem
Assessment, 2005). More often, such trade-offs result from developments
which increase the delivery of provisioning ecosystem services, but
negatively impact less tangible cultural, regulating and supporting
ecosystem services.</p>
      <p id="d1e117">In river basins such as the Beas, Western Himalayas, India, increasing water
demands for domestic, industrial and irrigation purposes and hydropower
generation have led to rapid development. Additionally, changing climatic
conditions have led to increases in temperature, decreased snow fall and
glacier shrinkage (Jain et al., 2010). These drivers of change have, and
continue, to impact on the delivery of ecosystem services, particularly
those which are less tangible.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e122">Map of the Beas River Basin and its situation (inset).</p></caption>
        <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018-f01.png"/>

      </fig>

      <p id="d1e131">Supporting ecosystem services underpin the delivery of all other ecosystem
services. Therefore, to recognise the<?pagebreak page68?> impact of developments on ecosystem
service delivery, process understanding of the formation and regulation of
these supporting ecosystem services is essential. Due to their sensitivity
to change (Chaube et al., 2008; Chauhan and Verma, 2016), macroinvertebrates
have widely been used as ecological indicators of the impact of flow
regulation and abstraction in river systems (Ghosh and Biswas, 2015; Monk et
al., 2008). Macroinvertebrates play a significant role in the delivery of
supporting ecosystem services in river systems (Thorp et al., 2010). As
primary consumers, detritivores, predators and pollinators,
macroinvertebrates contribute to supporting ecosystem services such as
nutrient cycles, primary productivity, and decomposition. Additionally, in
freshwaters, macroinvertebrates operate at intermediate trophic levels
(approximately the middle of the food web) and are generally the main
in-stream food source of fish (Wallace and Webster, 1996).</p>
      <p id="d1e135">To assess the ecological response of macroinvertebrates to flow regime the
Lotic-invertebrate Index for Flow Evaluation (LIFE) (Extence et al., 1999)
is commonly used (Monk et al., 2006). LIFE is abundance-weighted, based on
macroinvertebrate flow velocity preferences. Knowledge on the applicability
of LIFE on snow fed river systems, such as the Beas River, is limited. The
results presented in this paper are part of ongoing work. The overall aim of
this study is to understand the impact of the altered flow regime on
supporting ecosystem services delivery potential in the case study basin,
using macroinvertebrates as an indicator.</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and Methods</title>
<sec id="Ch1.S2.SS1">
  <title>Study Area</title>
      <p id="d1e149">The source of the Beas River is located in the Himalayas, central Himachal
Pradesh, India; the river merges with the Satluj River at Harike in Punjab.
The Beas River is one of the main tributaries of the Indus River system,
which is critical for food, energy and economic development in India. Figure 1
shows the location of the Beas River Basin in North India. The Pong Dam
reservoir is situated downstream in the basin; the dam is mainly used for
hydropower generation and irrigation water supply.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Daily stream flow discharge data</title>
      <p id="d1e158">Historic daily mean stream flow discharge data for the study area was made
available by the Bhakra Beas Management Board (BBMB) for two gauging
stations: Nadaun (from 1980 to 2017) and Thalout (from 1967 to 2007) (Fig. 2).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e163">Historic and recent (2017) sampling sites in the Beas River Basin. Sampling reaches are labelled A to F.</p></caption>
          <?xmltex \igopts{width=312.980315pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018-f02.png"/>

        </fig>

      <p id="d1e172">Time varying seasonal and decadal summary flow statistics were calculated to
understand the long-term flow variability which may influence
macroinvertebrates, and hence, the provision of supporting ecosystem
services. These included mean monthly flows, the cumulative seasonal flow
exceeded 10 % of the time (<inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>) and the cumulative seasonal flow exceeded
90 % of the time (<inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>). While <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is a measure of high flows, the <inline-formula><mml:math id="M4" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> is a
measure of low flow. Seasons were defined as the following hydrological
periods: Summer (pre monsoon) (March–May), Monsoon (June–September),
Autumn (Post monsoon) (October–November) and Winter (December–February).</p>
</sec>
<?pagebreak page69?><sec id="Ch1.S2.SS3">
  <title>Macroinvertebrate data</title>
      <p id="d1e225">The macroinvertebrate sampling locations (historic and from 2017) are
detailed in Fig. 2. The historic sampling sites are located on the
tributaries of the Beas River whilst the 2017 sampling sites are located on
the main stem.</p>
<sec id="Ch1.S2.SS3.SSS1">
  <title>Historic macroinvertebrate data</title>
      <p id="d1e233">Two previous studies were used as sources of historic macroinvertebrate
data. Historic macroinvertebrate data, sampled monthly, was made available
from: Manesh (2005) in 2005–2006 at A and B (Fig. 2, Sainj River and
Tirthan River) and Sharma and Dhanze (2012) in 2007–2008 at C and D (Fig. 2; Binwa River and Neugal River). Data from these historic studies was used
to calculate seasonal LIFE scores. This seasonality was considered with
reference to seasonal changes in the Beas River flow regime.</p>
</sec>
<sec id="Ch1.S2.SS3.SSS2">
  <title>Current macroinvertebrate sampling</title>
      <p id="d1e242">Additional macroinvertebrate sampling was carried out as part of this study
at E and F (Fig. 2; Sujanpur and Nadaun on the main stem). Sampling was
carried out during the post-monsoon period in November 2017. The
kick-sampling method (Barbour et al., 1999) was used to collect the
macroinvertebrates from both sampling sites. A handnet (1 mm mesh size) was
used to collect two samples at each site to form a single composite sample
per site. Kick-sampling required disturbing the river bed for a duration of
3 min whilst the handnet is held vertically to the river bed, with the
frame of the net at right angles to river flow (downstream of one's feet).
Dislodged macroinvertebrates within an area close to the net were gathered
and subsequently stored in containers and preserved with 90 % ethanol for
identification in the laboratory. The samples were sorted and taxonomically
identified to Family level following Subramanian and Sivaramakrishnan (2007). Family LIFE scores were calculated via the method described by
Extence et al. (1999) (refer to Supplement 1).</p>
</sec>
</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results and Discussion</title>
<sec id="Ch1.S3.SS1">
  <title>Flow variation over time</title>
      <p id="d1e258">Figure 3 depicts the decomposed time series of the mean monthly flows at
both gauging stations. There are strong similarities in flow seasonality,
with high flows during the monsoon season and low flows during the winter
season. Overall, the mean monthly flows show a decreasing trend after the
1990s. The observed facet (Fig. 3) also shows trend change points in the
1990s, thereafter the flows appear to decrease.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e263">Decomposed time series of mean monthly flows at the two gauging stations.</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018-f03.png"/>

        </fig>

      <p id="d1e272">Mean monthly flows from Nadaun gauging station are more variable compared to
Thalout upstream; this is also reflected by irregularities in flows at
Nadaun during the change point in the 1990s.</p>
      <p id="d1e275">Similarly, analysis of seasonal cumulative flows shows a shift over time in
both the <inline-formula><mml:math id="M5" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M6" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> as revealed in Fig. 4.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p id="d1e303">Flow distribution curves (by season and decade) at the two gauging stations.</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018-f04.png"/>

        </fig>

      <p id="d1e312">As illustrated in Fig. 4, both gauging stations depict similar trends of
decreasing cumulative flows over the four seasons, especially the monsoon
flows. The Nadaun station recorded a noticeable decrease in <inline-formula><mml:math id="M7" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math id="M8" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
monsoon flows from the 1980s to 2017. On the other hand, the Thalout station
shows a noticeable downward shift in <inline-formula><mml:math id="M9" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">10</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> and <inline-formula><mml:math id="M10" display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mn mathvariant="normal">90</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula> during the winter season
from the 1960s to the 2000s.</p>
      <p id="d1e359">These decreases in both mean monthly flows and seasonal cumulative flows in
the Beas River could be the result of climatic change and human activity
impacts linked to increases in abstraction activities and hydropower
generation in the basin (Singhvi and Krishnan, 2014).</p>
</sec>
<sec id="Ch1.S3.SS2">
  <title>LIFE scores</title>
      <p id="d1e368">Figure 5 provides a comparison of the LIFE scores.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><caption><p id="d1e373">Seasonal variations in LIFE score.</p></caption>
          <?xmltex \igopts{width=327.206693pt}?><graphic xlink:href="https://piahs.copernicus.org/articles/379/67/2018/piahs-379-67-2018-f05.png"/>

        </fig>

      <?pagebreak page70?><p id="d1e382">Despite differences in the spatial location and timing of sampling, similar
patterns in macroinvertebrate diversity and abundance were observed; this is
represented by the seasonal variations in LIFE scores. Previous studies e.g.
Joshi et al. (2007) on macroinvertebrate assemblage in the Himalayas region
also observed maximum macroinvertebrate densities during winter and lower
densities during the monsoon. Overall, LIFE scores were generally high
(7.7–9.3) during the winter and summer seasons and low (minimum of 4.5)
during the monsoon period. See Supplement 2 for the LIFE scores per site.
The lower diversities and LIFE scores could be the result of the high
monsoon flows washing the macroinvertebrates away.</p>
      <p id="d1e385">Macroinvertebrate community structure changes across the seasons. High LIFE
scores (winter and summer seasons) indicate an abundance of
macroinvertebrates with a preference for high flows; this represents a high
potential for instream supporting ecosystem services delivery. During the
monsoon season, changes in the flow impacts on the macroinvertebrate
structure resulting in low LIFE scores. Although macroinvertebrate response
to these seasonal changes in river flows could be a natural process, human
induced changes in the flow regime could negatively impact on the macro
invertebrate community structure and the potential for supporting ecosystem
services delivery.</p>
</sec>
<sec id="Ch1.S3.SS3">
  <title>Influence of river flow changes on LIFE and supporting ecosystem
services</title>
      <p id="d1e394">The observed seasonal variation in LIFE scores suggests that the
macroinvertebrate community is responding to changes in river flow. This
reflects the importance of the flow regime in the ecological health of
rivers and their capacity to deliver ecosystem services (Vörösmarty
et al., 2010). This implies that the observed decrease in temporal and
seasonal river flows in the study basin could have a detrimental impact on
macroinvertebrates and, consequently, the instream supporting ecosystem
services. However, a greater understanding of the hydroecological
relationship in the Beas River is required. To this end, the next steps in
this study focus on hydroecological modelling, where numerical models are
developed to explore the relationship.</p>
      <p id="d1e397">Due to data limitations, long-term historic understanding of the
macroinvertebrate community and LIFE in the basin are limited. Consequently,
this narrows the scope within which the changes in LIFE scores could be
assessed. Generally, research on macroinvertebrates in river systems in
India has been limited (Mishra et al., 2013). Despite this, the successful
application of the LIFE methodology and subsequent findings, helps to
confirm the applicability of the methodology in snow fed river systems in
India. Additionally, this<?pagebreak page71?> study highlights the need for further work in the
form of hydroecological modelling.</p>
</sec>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Conclusions</title>
      <p id="d1e407">As part of an ongoing study, current findings presented in this paper, show
that both mean monthly and seasonal cumulative flows have decreased overtime
in the Beas Basin. Linked to this were seasonal variations in LIFE scores,
indicative of macroinvertebrate response to flow changes and their potential
to deliver supporting ecosystem services. However, further analysis is
required to understand these hydroecological interactions and their impact
on instream supporting ecosystem services. Given that more hydropower dams
and abstraction activities and changing climatic conditions are set to
continue, such an understanding is important in future water resources
management planning in the Beas River Basin.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e415">All macroinvertebrate data is provided in Manesh (2005),
Sharma and Dhanze (2012) and in the Supplement of this
article. All hydrological data is not publicly accessible and is provided for
use in the project only from the Bhakra-Beas Management Board.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e418">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/piahs-379-67-2018-supplement" xlink:title="pdf">https://doi.org/10.5194/piahs-379-67-2018-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="competinginterests">

      <p id="d1e427">The authors declare that they have no conflict of
interest.</p>
  </notes><notes notes-type="sistatement">

      <p id="d1e433">This article is part of the special issue “Innovative
water resources management – understanding and balancing interactions
between humankind and nature”. It is a result of the 8th International
Water Resources Management Conference of ICWRS, Beijing, China, 13–15 June 2018.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e439">This work is part of an ongoing Sustaining Himalayan Water Resources in a
changing climate (SusHi-Wat) research project and we acknowledge funding
support from the UK Natural Environment Research Council (NERC; Project NE/N016394/1) and the
Indian Ministry of Earth Sciences (MoES) under the aegis of the
Newton-Bhabha scheme.  We are also grateful to our project partners i.e.
IITRoorkee, NIT-Hamirpur, NIH-Roorkee and IISc-Bangalore, Cranfield
University, the British Antarctic Survey and the Bhakra-Beas Management
Board.<?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>Edited by: Zongxue Xu <?xmltex \hack{\newline}?>Reviewed by: two anonymous referees</p></ack><ref-list>
    <title>References</title>

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    <!--<article-title-html>Assessment of freshwater ecosystem services in  the Beas River Basin, Himalayas region, India </article-title-html>
<abstract-html><p>River systems provide a diverse range of ecosystem
services, examples include: flood regulation (regulating), fish
(provisioning), nutrient cycling (supporting) and recreation (cultural).
Developing water resources through the construction of dams (hydropower or
irrigation) can enhance the delivery of provisioning ecosystem services.
However, these hydrologic alterations result in reductions in less tangible
regulating, cultural and supporting ecosystem services. This study seeks to
understand how multiple impoundments, abstractions and transfers within the
upper Beas River Basin, Western Himalayas, India, are affecting the delivery
of supporting ecosystem services. Whilst approaches for assessing supporting
ecosystem services are under development, the immediate aim of this paper is
to set out a framework for their quantification, using the macroinvertebrate
index Lotic-Invertebrate Index for Flow Evaluation (LIFE). LIFE is a
weighted measure of the flow velocity preferences of the macroinvertebrate
community. Flow records from multiple gauging stations within the basin were
used to investigate flow variability at seasonal, inter-annual and decadal
time scales. The findings show that both mean monthly and seasonal
cumulative flows have decreased over time in the Beas River Basin. A
positive hydroecological relationship between LIFE and flow was also
identified, indicative of macroinvertebrate response to seasonal changes in
the flow regime. For example, high LIFE scores (7.7–9.3) in the winter and
summer seasons indicate an abundance of macroinvertebrates with a preference
for high flows; this represents a high potential for instream supporting
ecosystem services delivery. However, further analysis is required to
understand these hydroecological interactions in the study basin and the
impact on instream supporting ecosystem services delivery.</p></abstract-html>
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within riverine systems, River Res. Appl., 22, 595–615, 2006.
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Linking Ecosystem Services, Rehabilitation, and River Hydrogeomorphology,
BioScience, 60, 67–74, 2010.
</mixed-citation></ref-html>
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biodiversity, Nature, 467, 555-561, 2010.
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Ecosystem Function, Annu. Rev. Entomol., 41, 115–139, 1996.
</mixed-citation></ref-html>--></article>
