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  <front>
    <journal-meta><journal-id journal-id-type="publisher">ADGEO</journal-id><journal-title-group>
    <journal-title>Advances in Geosciences</journal-title>
    <abbrev-journal-title abbrev-type="publisher">ADGEO</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Adv. Geosci.</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1680-7359</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/adgeo-48-19-2019</article-id><title-group><article-title>Spatio Temporal Soil Moisture Dynamics and Runoff under Different Soil Cover Conditions in a Semiarid <?xmltex \hack{\break}?>Representative Basin in Brazil</article-title><alt-title>Moisture Dynamics and Runoff under Different Cover Conditions in Semiarid Brazil</alt-title>
      </title-group><?xmltex \runningtitle{Moisture Dynamics and Runoff under Different Cover Conditions in Semiarid Brazil}?><?xmltex \runningauthor{A. A.~A. Montenegro et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Montenegro</surname><given-names>Abelardo A. A.</given-names></name>
          <email>montenegro.ufrpe@gmail.com</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lopes</surname><given-names>Iug</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>de Carvalho</surname><given-names>Ailton A.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>de Lima</surname><given-names>João L. M. P.</given-names></name>
          
        <ext-link>https://orcid.org/0000-0002-0135-2249</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>de Souza</surname><given-names>Thais E. M. S.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Araújo</surname><given-names>Helio L.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Lins</surname><given-names>Frederico A. C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Almeida</surname><given-names>Thayná A. B.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Montenegro</surname><given-names>Hugo G. L. A.</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Agricultural Engineering, Federal Rural University of
Pernambuco State, Recife, 52171-900, Brazil</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>MARE – Marine and Environmental Sciences Centre, Department of Civil Engineering, Faculty of Science and Technology of the University de Coimbra, 3030-788 Coimbra, Portugal</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Bioscience Department, Federal University of Pernambuco State,
Recife, 50670-901, Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Abelardo A. A. Montenegro (montenegro.ufrpe@gmail.com)</corresp></author-notes><pub-date><day>5</day><month>June</month><year>2019</year></pub-date>
      
      <volume>48</volume>
      <fpage>19</fpage><lpage>30</lpage>
      <history>
        <date date-type="received"><day>30</day><month>November</month><year>2018</year></date>
           <date date-type="rev-recd"><day>2</day><month>April</month><year>2019</year></date>
           <date date-type="accepted"><day>13</day><month>May</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 </copyright-statement>
        <copyright-year>2019</copyright-year>
      <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://adgeo.copernicus.org/articles/.html">This article is available from https://adgeo.copernicus.org/articles/.html</self-uri><self-uri xlink:href="https://adgeo.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://adgeo.copernicus.org/articles/.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e163">Hydrological studies in small basins are essential for
investigating the role of distinct processes on water resources conservation
and to assess the impact of the natural ecosystems on improving water
security especially in semiarid environments. In Brazil, the cooperative
hydrological Network REHISA (“REde de HIdrologia do SemiÁrido”)
comprises hydrologists from several universities of Brazil, focusing on
field measurements, monitoring and modeling activities in well instrumented
experimental rural catchments located at different regions and biomes in
Semiarid environment. Water scarcity is a common aspect among the
catchments, as well as risks of soil and water degradation. The objective of
this work is to present assessments of near surface soil moisture
spatial-temporal distribution, and to evaluate the impact of soil
conservation techniques in reducing runoff, using small-scale experimental
plots in a representative catchment of the Pernambuco State, Brazil. The
study catchment is located in Alto Ipanema River Basin (AIRB) (with an area
of 150 km<inline-formula><mml:math id="M1" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), which is located at the semiarid region of the São
Francisco River (area of 641 000 km<inline-formula><mml:math id="M2" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>). Soil and water monitoring was
performed in experimental plots with different soil cover conditions (Bare
soil plots; Plots with natural cover – Caatinga Biome vegetation; Plots with
cactus Palma barriers; and Plots with mulch cover – Dry grass mulch at 4 t ha<inline-formula><mml:math id="M3" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>), where probes were installed for high resolution soil moisture
assessment. In addition, regular soil moisture monitoring campaigns were
conducted at 7 different locations, using a capacitance probe, with arboreal
and shrub Caatinga vegetation, pasture and bare soil, predominantly
Brachiaria decumbens. Mulch cover runs close to the Caatinga cover, but
still with higher runoff generation, and presenting lower soil moisture
temporal mean values. Caatinga was highly effective in terms of soil and
water conservation at the small basin scale for both the dry and the wet
season, resulting in a positive nexus between vegetation and water
availability at the region.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e205">Near-surface soil moisture plays an important role on ecohydrological
processes, influencing the partitioning of precipitation into infiltration
and runoff, and also controlling evapotranspiration (Grayson et al., 1997).
Thus, a better understanding of the spatio-temporal distribution of soil
moisture is crucial for several applications, including soil conservation,
environmental protection and rainfed agriculture.</p>
      <p id="d1e208">Field hydrological studies in small basins allow investigation of the
relative role of distinct processes on soil and water resources conservation
(McClain, 2013), and also the impact assessment of agricultural conservation
practices on water security and soil protection, especially in semiarid
environments.</p>
      <p id="d1e211">According to Maneta et al. (2008), the discontinuity of the processes in
semiarid areas both in space and in time produces a highly complex
discontinuous nonlinear rainfall–runoff relationship, interfering also on
infiltration and<?pagebreak page20?> lateral flows, and then on vegetation development. In small
ephemeral semiarid basins, soil moisture is the most relevant state
variable, controlling the internal water distribution, and water resources
availability.</p>
      <p id="d1e214">Montenegro et al. (2018) highlighted the importance of soil moisture
dynamics on the ecological functioning of a volcanic archipelago at the
Brazilian coast, and the impact of rainfall temporal regime on infiltration
and on soil moisture temporal variability.</p>
      <p id="d1e218">Due to the limited rainfall depth available, usually concentrated within 3–4 months yr<inline-formula><mml:math id="M4" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, and the high evaporative demand, water deficit is a
challenge in the Brazilian semiarid region, impacting ecosystem services,
crop production and limiting livestock (Mutti et al., 2019; Lopes et al.,
2019). Natural vegetation development is also limited, comprising xerophytes
species, dominating the Caatinga Biome, which is a deciduous dry forest
biome and scrub vegetation, typical of the Brazilian semiarid region.</p>
      <p id="d1e233">In general, the natural vegetation provides environmental services for the
ecosystem at high levels, but not food production (Foley et al., 2005).
Hence, land use strategies such as cropland with restored ecosystem services
are required for sustainable development.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e239">Physical characteristics of the Argisol at the experimental sites.
Source: Santos et al. (2010).</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.90}[.90]?><oasis:tgroup cols="8">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:colspec colnum="8" colname="col8" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Layer</oasis:entry>
         <oasis:entry colname="col2">Horizon</oasis:entry>
         <oasis:entry rowsep="1" colname="col3">Sand</oasis:entry>
         <oasis:entry rowsep="1" colname="col4">Clay</oasis:entry>
         <oasis:entry rowsep="1" colname="col5">Silt</oasis:entry>
         <oasis:entry colname="col6">Cdw<inline-formula><mml:math id="M8" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry rowsep="1" colname="col7">Pd<inline-formula><mml:math id="M9" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
         <oasis:entry rowsep="1" colname="col8">Sd<inline-formula><mml:math id="M10" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">cm</oasis:entry>
         <oasis:entry colname="col2"/>
         <oasis:entry namest="col3" nameend="col5" align="center">% </oasis:entry>
         <oasis:entry colname="col6">%</oasis:entry>
         <oasis:entry namest="col7" nameend="col8" align="center">kg dm<inline-formula><mml:math id="M11" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">0–12</oasis:entry>
         <oasis:entry colname="col2">Ap</oasis:entry>
         <oasis:entry colname="col3">44.85</oasis:entry>
         <oasis:entry colname="col4">23.15</oasis:entry>
         <oasis:entry colname="col5">32.00</oasis:entry>
         <oasis:entry colname="col6">11.20</oasis:entry>
         <oasis:entry colname="col7">2.64</oasis:entry>
         <oasis:entry colname="col8">1.48</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">13–27</oasis:entry>
         <oasis:entry colname="col2">A1</oasis:entry>
         <oasis:entry colname="col3">44.19</oasis:entry>
         <oasis:entry colname="col4">26.48</oasis:entry>
         <oasis:entry colname="col5">29.33</oasis:entry>
         <oasis:entry colname="col6">11.20</oasis:entry>
         <oasis:entry colname="col7">2.72</oasis:entry>
         <oasis:entry colname="col8">1.51</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">27–46</oasis:entry>
         <oasis:entry colname="col2">A2</oasis:entry>
         <oasis:entry colname="col3">31.52</oasis:entry>
         <oasis:entry colname="col4">32.48</oasis:entry>
         <oasis:entry colname="col5">36.00</oasis:entry>
         <oasis:entry colname="col6">15.20</oasis:entry>
         <oasis:entry colname="col7">2.64</oasis:entry>
         <oasis:entry colname="col8">1.45</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">46–69</oasis:entry>
         <oasis:entry colname="col2">AB</oasis:entry>
         <oasis:entry colname="col3">28.86</oasis:entry>
         <oasis:entry colname="col4">33.81</oasis:entry>
         <oasis:entry colname="col5">37.33</oasis:entry>
         <oasis:entry colname="col6">15.20</oasis:entry>
         <oasis:entry colname="col7">2.67</oasis:entry>
         <oasis:entry colname="col8">1.68</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">69–86</oasis:entry>
         <oasis:entry colname="col2">Bt</oasis:entry>
         <oasis:entry colname="col3">13.37</oasis:entry>
         <oasis:entry colname="col4">60.83</oasis:entry>
         <oasis:entry colname="col5">25.80</oasis:entry>
         <oasis:entry colname="col6">32.87</oasis:entry>
         <oasis:entry colname="col7">2.66</oasis:entry>
         <oasis:entry colname="col8">1.70</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><?xmltex \begin{scaleboxenv}{.90}[.90]?><table-wrap-foot><p id="d1e242"><inline-formula><mml:math id="M5" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">1</mml:mn></mml:msup></mml:math></inline-formula> Cdw: Clay-dispersed in water. <inline-formula><mml:math id="M6" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> Pd: Particle density.
<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> Sd: Soil density.</p></table-wrap-foot><?xmltex \end{scaleboxenv}?></table-wrap>

      <p id="d1e519">Interception processes through natural vegetation, even for sparse rangeland
vegetation of semiarid areas, is a key factor for kinetic energy reduction
of rainfall, attenuating soil losses, runoff, and inducing infiltration.
Moreover, natural barriers along hillslopes control overland flow, inducing
sedimentation of soil particles transported by natural discharges. In
semiarid areas, after rainfall interception, stem flow even in a deciduous
vegetation with limited canopy cover can play a key role for soil moisture
replenishment, enhancing infiltration and reducing hydrograph peaks.
According to Brasil et al. (2017), stem flow can be associated to two
roughness coefficients, one linked to large scale characteristic of the
Caatinga Biome, and another coefficient related to the plant leaves
morphology.</p>
      <p id="d1e522">The influence of natural barriers on overland flow have been verified by
dos Santos et al. (2010) and de Borges et al. (2014), from field monitoring
campaigns in experimental basin of Pernambuco State, as part of the
objectives stated by the Brazilian semiarid cooperative hydrological Network
REHISA (“REde de HIdrologia do SemiÁrido”). The network comprises
investigations focusing on field measurements, monitoring and modeling
activities in well instrumented experimental rural catchments. Seven
experimental basins have been instrumented at the Brazilian northeast,
focusing on rainfall- runoff processes and soil moisture dynamics.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e528">Location of the Jatobá Experimental Basin, Pernambuco State,
Brazil, showing the main soil types, location of access tubes for soil
moisture monitoring, and view of the typical open arboreal – shrubby
Caatinga vegetation, with a view of an access tube. LITN: Litholic Neosol; REGN: Regolitic Neosol; YRA: Yellow Red Argisol.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f01.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e539">Time series for air temperature, monthly rainfall and potential
evapotranspiration (PET), and relative humidity. Jatobá Basin,
Pesqueira-PE, Brazil.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f02.png"/>

      </fig>

      <p id="d1e548">Water scarcity is a common aspect among the catchments along Pernambuco
State semiarid region, as well as the environmental degradation risks,
particularly erosion and salinization, representing a challenge to social
and economic development (de Londe et al., 2014). Rural activities in the
region are mainly carried out by small farm holders. Although extreme
poverty decreased significantly in Brazil in recent years, Northeast rural
areas continue to exhibit the highest poverty scenarios in the country
(Santos et al., 2015), thus urgently requiring public policies to promote
sustainable agricultural production, food security and also protection of
the natural resources (Schneider et al., 2010). A great part of seasonally
dry tropical forests (set in semiarid regions, with temperatures above
17 <inline-formula><mml:math id="M12" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C and high evapotranspiration rates) located mostly in
North Argentina and Northeast of Brazil, are being (or already are) degraded
in different ways for the purpose of agricultural and livestock production
(Stuhler and Orrock, 2016).</p>
      <p id="d1e560">Nature-based solution is a concept increasingly adopted around the world,
focusing on participatory actions to protect, manage or restore natural or
modified ecosystems, enhancing food protection and biodiversity (WWAP,
2018). In this study, two low cost nature-based solutions are analysed:
mulching cover and cactus barriers. Dry matter mulching has been largely
studied in literature for erosion control, runoff reduction and soil
moisture maintenance in hillslopes. Mulching promotes the reduction of
surface runoff and traps sediments, hence enhancing water retention and
infiltration.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e565">Photographs of the adopted soil cover treatments: bare soil; mulch
cover; cactus barriers, and Natural Caatinga cover.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f03.png"/>

      </fig>

      <p id="d1e575">Montenegro et al. (2013) and Lopes and Montenegro (2017) investigated the
impact of two densities of straw mulch on reducing soil losses and
increasing soil moisture, under simulated rainfall. Mulching performance in
protecting soil surface from erosion has also been verified by e.g. Abrantes
et al. (2018) and Prats et al. (2017), using mulch cover from natural
vegetation. Adopting field plots in the Brazilian semiarid, dos Santos et al. (2010) and dos Borges et al. (2014) observed significant increase in rainfed
crop production in sloped areas for beans and maize using mulching.</p>
      <p id="d1e578">On the other hand, vegetative barriers forming narrow strips across the
dominant slope can reduce soil loss, inducing deposition of eroded sediment.
Such alternative was also studied by Santos et al. (2010) and Borges et al. (2014), adopting Opuntia ficus-indica (L.) Mill Cactus as a way to slow down
runoff and increase soil moisture, in the Pernambuco State semiarid.</p>
      <p id="d1e581">Spineless cactus forage is an important alternative for farmers in the
Brazilian semiarid, presenting high productivity potential, high water use
efficiency and tolerance to<?pagebreak page21?> water stress (Dubeux et al., 2006). Cactus
are largely grown in the Brazilian semiarid, and the two main species are
Opuntia ficus-indica and Nopaleacochenillifera. In Pernambuco State, the
main cultivated cactus forage clones are the “Orelha de Elefante
Mexicana”, which belongs to the Opuntia genus, and “Miúda” and “IPA
Sertânia” of genus Nopalea (Barbosa et al., 2018). The shape and
morphological architecture of spineless cactus canopy, with cladodes varying
in size from 0.30  to 0.50 m in height and 0.20  to 0.30 m in width affect
their photosynthetic capacity (Silva et al., 2015), and also might
constitute promising vegetative barriers, slowing and ponding runoff in
sloped areas, hence controlling soil erosion.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e587">Physical characteristics of the soil profile for the different
locations of Diviner – 2000<sup>®</sup> access tubes.
Caatinga land cover.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>

         <oasis:entry colname="col1">Point/Cover/Soil Class</oasis:entry>

         <oasis:entry colname="col2">Elevation (m)</oasis:entry>

         <oasis:entry colname="col3">Layer (m)</oasis:entry>

         <oasis:entry colname="col4">Osat (m<inline-formula><mml:math id="M13" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M14" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)</oasis:entry>

         <oasis:entry rowsep="1" colname="col5">Sand</oasis:entry>

         <oasis:entry rowsep="1" colname="col6">Clay</oasis:entry>

         <oasis:entry rowsep="1" colname="col7">Silt</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3"/>

         <oasis:entry colname="col4"/>

         <oasis:entry namest="col5" nameend="col7" align="center">g kg<inline-formula><mml:math id="M15" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>

       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P03/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">765.9</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.51</oasis:entry>

         <oasis:entry colname="col5" morerows="1">708.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">172.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">120.0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.43</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.42</oasis:entry>

         <oasis:entry rowsep="1" colname="col5" morerows="1">608.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">232.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col7" morerows="1">160.0</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.43</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P30/CA/REGN</oasis:entry>

         <oasis:entry colname="col2" morerows="1">752.1</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.42</oasis:entry>

         <oasis:entry colname="col5" morerows="1">724.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">116.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">160.0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.40</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.42</oasis:entry>

         <oasis:entry colname="col5" morerows="1">814.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">82.4</oasis:entry>

         <oasis:entry colname="col7" morerows="1">103.6</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.38</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P36/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">756.8</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.37</oasis:entry>

         <oasis:entry colname="col5" morerows="1">623.2</oasis:entry>

         <oasis:entry colname="col6" morerows="1">182.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">194.8</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.37</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.38</oasis:entry>

         <oasis:entry colname="col5" morerows="1">504.8</oasis:entry>

         <oasis:entry colname="col6" morerows="1">272.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">223.2</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.38</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P43/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">773.5</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.44</oasis:entry>

         <oasis:entry colname="col5" morerows="1">648.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">217.6</oasis:entry>

         <oasis:entry colname="col7" morerows="1">134.4</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.43</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.45</oasis:entry>

         <oasis:entry rowsep="1" colname="col5" morerows="1">608.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">252.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col7" morerows="1">140.0</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.43</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P45/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">759.7</oasis:entry>

         <oasis:entry colname="col3">0-0.10</oasis:entry>

         <oasis:entry colname="col4">0.43</oasis:entry>

         <oasis:entry colname="col5" morerows="1">569.8</oasis:entry>

         <oasis:entry colname="col6" morerows="1">212.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">218.2</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.42</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.41</oasis:entry>

         <oasis:entry rowsep="1" colname="col5" morerows="1">558.4</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">252.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col7" morerows="1">189.6</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.40</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P46/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">755.7</oasis:entry>

         <oasis:entry colname="col3">0-0.10</oasis:entry>

         <oasis:entry colname="col4">0.45</oasis:entry>

         <oasis:entry colname="col5" morerows="1">708.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">217.6</oasis:entry>

         <oasis:entry colname="col7" morerows="1">74.4</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.45</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.46</oasis:entry>

         <oasis:entry rowsep="1" colname="col5" morerows="1">648.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">212.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col7" morerows="1">218.2</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.45</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P50/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">779.8</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.38</oasis:entry>

         <oasis:entry colname="col5" morerows="1">495.8</oasis:entry>

         <oasis:entry colname="col6" morerows="1">292.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">212.2</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.39</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.38</oasis:entry>

         <oasis:entry rowsep="1" colname="col5" morerows="1">436.2</oasis:entry>

         <oasis:entry rowsep="1" colname="col6" morerows="1">392.0</oasis:entry>

         <oasis:entry rowsep="1" colname="col7" morerows="1">171.8</oasis:entry>

       </oasis:row>
       <oasis:row rowsep="1">

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.39</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1" morerows="1">P51/CA/YRA</oasis:entry>

         <oasis:entry colname="col2" morerows="1">731.6</oasis:entry>

         <oasis:entry colname="col3">0–0.10</oasis:entry>

         <oasis:entry colname="col4">0.44</oasis:entry>

         <oasis:entry colname="col5" morerows="1">728.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">152.0</oasis:entry>

         <oasis:entry colname="col7" morerows="1">120.0</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col3">0.10–0.20</oasis:entry>

         <oasis:entry colname="col4">0.42</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.20–0.30</oasis:entry>

         <oasis:entry colname="col4">0.46</oasis:entry>

         <oasis:entry colname="col5" morerows="1">708.0</oasis:entry>

         <oasis:entry colname="col6" morerows="1">197.6</oasis:entry>

         <oasis:entry colname="col7" morerows="1">94.4</oasis:entry>

       </oasis:row>
       <oasis:row>

         <oasis:entry colname="col1"/>

         <oasis:entry colname="col2"/>

         <oasis:entry colname="col3">0.30–0.40</oasis:entry>

         <oasis:entry colname="col4">0.39</oasis:entry>

       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table><table-wrap-foot><p id="d1e593">CA – Caatinga; YRA – Yellow Red Argisol; REGN – Regolitic Neosol.</p></table-wrap-foot></table-wrap>

      <p id="d1e1258">The objective of this work is to present field assessments of near surface
soil moisture spatio-temporal distribution, and to evaluate the impact of
naturally based soil conservation techniques in reducing runoff, compared to
natural Caatinga cover condition, using small scale runoff plots and a
network of access tubes for soil moisture monitoring in an experimental
ephemeral basin of the Pernambuco State, Brazil.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Study area and methodology</title>
      <p id="d1e1269">The study area is the Jatobá Experimental Basin (with an area of 14 km<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), located at the Alto Ipanema River Basin (AIRB) (with an area of
150 km<inline-formula><mml:math id="M17" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), in the State in Pernambuco, in the Brazilian semi-arid region
(Fig. 1). The Ipanema catchment is part of the São Francisco River
basin (area of 641 000 km<inline-formula><mml:math id="M18" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) and is located in the Brazilian drought
polygon (Montenegro and Ragab, 2010). In this polygon, there is already a
conflict among water users, and the region is vulnerable to droughts (Krol
et al., 2006).</p>
      <?pagebreak page22?><p id="d1e1299">The climate in the region is extremely hot semiarid Steppe Type, according
to the Köppen classification, with a mean annual rainfall of 600 mm
(normally concentrated between the months of April and July, but it can
change from one year to another) and an average temperature of 23 <inline-formula><mml:math id="M19" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C, and potential evapotranspiration of approximately 2000
mm a year (Melo and Montenegro, 2015). Lopes et al. (2018) studied the
spatial distribution of rainfall for region, and also observed low rainfall
availability conditions for the whole area in the same period.</p>
      <p id="d1e1311">Figure 2 presents air temperature characteristics, rainfall distribution for
the experimental period, potential evapotranspiration (PET), and relative
humidity. Total rainfall (and PET) for 2016, 2017 and 2018 were 593 (1292 mm), 651 (1253 mm), and 628 mm (1637 mm), respectively. Montenegro and
Ragab (2010) verified that the mean total rainfall for the base line period
from 1961–1999 was 702 mm, while for the 2002 to 2007 period was 750 mm. In
addition, mean value for PET was equal to 1086 mm. Hence, the experimental
period adopted in this study can be considered representative for the
region.</p>
      <p id="d1e1314">Vegetation is predominantly hyperxerophytic Caatinga (Montenegro and
Montenegro, 2006), varying from arboreal closed Caatinga to open shrub
Caatinga (Montenegro and Ragab, 2010).</p>
      <p id="d1e1318">The vegetation presents strong seasonality over time, characteristic of the
Caatinga Biome. In the dry period, the native forest area losses foliage
(deciduous behaviour). At regions<?pagebreak page23?> with sparse vegetation, large areas
exhibit bare soils. The cover condition changes considerably during the
rainy season, which is a characteristic of the semi-arid region, with a fast
foliage regeneration (Santos et al., 2016).</p>
      <p id="d1e1321">Climatic data were recorded at an Automatic Weather Station (Campbell
Scientific<sup>®</sup>) installed nearby the experimental area, as
observed in the map (Fig. 1). The station consists of a set of sensors and
a communication interface for data recording (CR1000 datalogger) and
transfer, including: an anemometer, a rain gauge, a temperature sensor and
relative humidity of the air and a pyranometer, recording data hourly.
Rainfall depths and temporal characteristics were measured by three
automatic rain gauge (TB4-L, Campbell Scientific<sup>®</sup>), connected
to CR1000 dataloggers, which were programmed to record events every 5 min.</p>
      <p id="d1e1330">Eight experimental plots 4.5 m wide and 11.0 m long were randomly
estabilished at the hillslopes in the experimental basin, with a 5 %
slope, to investigate the performance of conservation practices for
controlling soil moisture, runoff and erosion. The plots were grouped in two
sites (named “João” and “Edivaldo”), each site comprising four
plots, with the following soil cover treatments: bare soil, natural
vegetation (Caatinga) cover, mulch cover, and Palma Cactus forming contour
ridges. Table 1 presents the soil mean characteristics, classified as
abruptic eutrophic Yellow Argisol (EMBRAPA, 1997). Mean soil moisture at
field capacity is 0.16 m<inline-formula><mml:math id="M20" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> m<inline-formula><mml:math id="M21" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (dos Santos et al., 2010), and
wilting point is equal to 0.05 (Montenegro and Ragab, 2010). Based on soil
density in Table 1, soil total porosity is 0.40.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e1356">Time series for soil moisture, for native vegetation (Caatinga),
Cactus barriers (Palma), mulching and bare soil, at the experimental plots,
at site 1 (João), for the 0–0.20 m layer <bold>(a)</bold>; Comparison of soil
moisture for different cover conditions with Caatinga <bold>(b, c)</bold>. Sat: Saturated soil moisture; FC: Field Capacity; WP: Wilting Point.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f04.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e1373">Mean soil moisture for different layers along soil profile,
measured using the Diviner Probe, for sites with the same vegetation cover
(Caatinga).</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f05.png"/>

      </fig>

      <p id="d1e1383">Figure 3 shows a general view of the investigated cover conditions (Bare,
Natur, Mulch and Palma): Bare – soil without any of natural or artificial
cover on the plot; Natur – predominant natural and/or spontaneous vegetation
composed of small and medium – sized open caatinga, with predominant Quince
(Croton sonderianus) and Jurema – Preta (Mimosa hostilis Benth.); Mulch –
dry grass mulch (Brachiaria decumbens) with density of 8 t ha<inline-formula><mml:math id="M22" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>; Palma
– presence of forage spineless palma (Opuntia cochenillifera) planted in
regular spacing of <inline-formula><mml:math id="M23" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.1</mml:mn><mml:mo>×</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> m, forming a vegetation contour ridge.</p>
      <p id="d1e1410">CS616 Campbell Scientific probes (one per plot) and access tubes for
Neutrons Probe (one per plot) and Diviner Probe (also one per plot) were
installed (Figs. 2 and 3), the former at 0.20 m depth, and the access
tubes up to 0.60 m, depending on the depth of the impediment layer.</p>
      <p id="d1e1413">Runoff and sediment yield were monitored and characterized at the 8
experimental plots. Experimental plots have been already established some
years ago and are delimited by brick walls of 0.25 m height and inserted to
0.10 m into the soil. Downstream of the plot a drain collects runoff in two
consecutive tanks of 1 m<inline-formula><mml:math id="M24" display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula>. During the study period, no
runoff events reached the maximum storage capacity of the collection tanks,
nor significant losses of the stored water due to evaporation observed.</p>
      <p id="d1e1425">For extreme rainfall events in the 2016 to 2017 period, runoff and sediments
were collected individually at the tanks, manually, within one day after
each event.</p>
      <p id="d1e1428">At collection, the stored water at the two tanks was shaken for uniformity
and samples were taken in 1 L triplicates. In order to estimate the sediment
concentration, samples were dried in an oven (105 <inline-formula><mml:math id="M25" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C).</p>
      <p id="d1e1440">In addition to the aforementioned sites, regular soil moisture monitoring
campaigns have been conducted at 25 different locations randomly distributed
in the experimental basin (as already shown in Fig. 1), using a
capacitance probe (Diviner – 2000<sup>®</sup>), with
different land use, vegetation cover, and topographic elevation. Access
tubes were installed up to 0.60 m depth. However, in this work, soil
moisture data were used for 7 distributed sites in the upper part of the
basin, along a transect, where the predominant soil class is Yellow Red
Argisol and the cover is the Caatinga. In Table 2, it is shown the physical
characteristics for the 0–0.40 m soil profile. Measurements at the access
tubes located at the chosen transect properly represent the mean behaviour
of soil moisture in the basin, as verified by Silva Júnior et al. (2016), using the temporal stability methodology (Vachaud et al., 1985).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1449">Time series for the mean soil moisture, for native vegetation
(Caatinga), for the 0–0.10, 0.10–20, 0.20–0.30, 0.30–0.40 m layers. It
is also presented the one standard deviation interval around the mean value.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f06.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e1460">Monthly rainfall and mean soil moisture for the 0–0.40 m layer.
One standard deviation interval around the mean value for the 0–0.40 m
layer, also showing the mean soil moisture at the field capacity (dashed
line) <bold>(a)</bold>; time series for the coefficient of variation of the mean soil
moisture, and the net rainfall (R-ET) values <bold>(b)</bold>.</p></caption>
        <?xmltex \igopts{width=426.791339pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f07.png"/>

      </fig>

      <p id="d1e1475">Soil moisture at the access tubes was measured monthly, except during the
rainy season, when readings were taken twice a month.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Results and discussions</title>
      <p id="d1e1486">Soil moisture time series for the period from 2016 to 2018 at the
experimental plots are presented in Fig. 4a, for the soil layer of 0–0.20 m, and also the recorded daily rainfall.<?pagebreak page24?> The study plots under natural cover
(Caatinga biome) presented the highest near surface soil moisture contents
for wet days, after high rainfall depths, mainly by the end of the wet
season, due to canopy development. For the dry period, mulching treatment
exhibited the highest soil moisture contents. Cactus barriers and mulching
cover showed promising results, contributing to the reduction of runoff and
increasing the infiltration processes. The bare soil plots, used to
represent land degraded sites due to deforestation, exhibited the lowest
values of soil moisture and the highest values for runoff and soil loss.
Results for bare soil treatments are associated to observed soil crusting at
the surface, forming a thin layer which reduces hydraulic conductivity, and
hence infiltration. Figure 4b and c present the comparison of soil
moisture for the Caatinga natural cover and conservation treatments, for
both wet and dry seasons. In spite of the experimental period of only 2 years, it can be verified from data that Caatinga cover efficiently
contributes for the highest soil moistures, for the wet condition
(particularly for soil moisture values higher than 0.25) due to
infiltration, while mulching is effective in maintaining higher soil
moisture for dry soil scenarios, for soil moisture values lower than 0.15,
approximately the field capacity soil moisture.</p>
      <p id="d1e1489">As shown in Fig. 4b, soil moisture at plots with conservation practices is
lower than at plots with natural cover, due to canopy role for rainfall
interception. In Fig. 4b, soil moisture content of 0.25 is a threshold
value from which soil water storage at Caatinga plots is higher than soil
water at plots with conservation practices. At the studied semiarid
catchment, soil moisture is higher than the aforementioned threshold value,
favouring canopy development, stemflow, and decreasing relative throughfall,
which contributes to a higher infiltration depth. On the other hand, during
the dry season, soil moisture for the Caatinga plots is lower than at plots
with conservation practices, for contents below 0.15, as shown in Fig. 4c.
Such behavior is associated mainly to evapotranspiration dynamics,
highlighting the role of the 8 t ha<inline-formula><mml:math id="M26" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> mulch cover in controlling water
losses from soil surface.</p>
      <p id="d1e1504">Hence, mulch and Cactus barriers were both suitable conservation practices
in increasing soil moisture in the experimental plots, mainly for the dry
season.</p>
      <p id="d1e1507">It was verified that the sites with Caatinga Natural Cover presented the
highest coefficient of variation for soil<?pagebreak page25?> moisture, due to infiltration and,
on the other hand, root water uptake.</p>
      <p id="d1e1511">Moreover, it should be highlighted that in Caatinga areas, higher water
contents are verified at deeper layers, which have a relevant role in
sustaining crop evapotranspiration and natural biomass production in the
semiarid basin.</p>
      <p id="d1e1514">In studies of water and soil conservation in watersheds in Africa, Wenninger
et al. (2008) highlighted that hydrological processes in semi-arid regions
usually present high spatio-temporal variability. Hence, rainfall and runoff
measurements are essential for soil moisture dynamics investigation, in
order to properly understand runoff generation and mitigate soil erosion.
Brazilian Northeast, particularly the semi-arid of Pernambuco State, is
usually subject to high intensity local rainfall events, known as
thunderstorms (Santos et al., 2016). Such events cause high runoff rates and
sediment losses, requiring conservation alternatives to be adopted, to
prevent irreversible damages to the topsoil.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e1519">Box plots for runoff and soil loss, for native vegetation
(Caatinga), Cactus barriers (Palma), mulching and bare soil, at the
experimental plots, at site 1, for the 0–0.20 m layer.</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f08.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e1530"><bold>(a, b)</bold> Rainfall-runoff and rainfall-soil loss relationships for the
different cover conditions. <bold>(c, d)</bold> Comparison of runoff and soil loss of
different cover conditions with Caatinga.</p></caption>
        <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://adgeo.copernicus.org/articles/48/19/2019/adgeo-48-19-2019-f09.png"/>

      </fig>

      <p id="d1e1544">Mulch and Cactus barriers also exhibited higher soil moisture peaks than
bare soil treatment. For 2017 rainy season, Caatinga vegetation response was
significantly higher, which is associated to a more pronounced canopy
development. The year 2016 came after a five years drought period, which
ended in 2015, causing severe impact to crop production and vegetation leaf
development.</p>
      <p id="d1e1548">Soil moisture spatio-temporal variability in Natural Caatinga cover, using
mean values from sites with the same vegetation cover (Caatinga shrub
natural vegetation) is shown in the Fig. 5. When analysing soil moisture
spatial distribution along the experimental transect, high variability is
observed. Moreover, it can be verified in Fig. 5 that in Caatinga areas,
higher water contents are verified at deeper layers. Such result contributes
to a higher root water uptake, enhancing crop evapotranspiration and natural
biomass production. Figure 5 also exhibits the monthly rainfall and the
seven days cumulative antecedent rainfall prior to each monitoring campaign.</p>
      <p id="d1e1551">Figure 6 presents the mean soil moisture for each monitored soil layer, and
also the interval of one standard deviation around the mean value,
representing the spatial variability of soil moisture among sites. It can be
verified that the standard deviation increases with depth, and hence the
spatial variability. Grayson et al. (1997) highlighted that in semiarid
basins hydrological processes are more fragmented in space. Spatial
variability is higher where lower lateral flows occur, and vertical water
fluxes dominate.</p>
      <p id="d1e1554">It can be observed that at dry periods, there is a time lag between the
first rainfall events and the soil moisture response, mainly at the deeper
soil layers, due to limited hydraulic conductivity. Menezes et al. (2013),
evaluating the soil moisture dynamics at the top soil layer, at the same
basin, verified distinct rainfall-soil moisture dynamics at areas with
Caatinga cover and bare soil, especially at the beginning of the rainy
season. Additionally, the authors observed higher soil water contents in
areas where Caatinga is present, compared to bare soil regions. Such results
are consistent with those obtained by Silva Júnior et al. (2016),
evaluating near surface soil moisture temporal stability (from 0 to 0.10
and from 0 to 0.20 m), comparing sites with pasture cover, bare soils and
Caatinga Natural cover in the Jatobá Experimental Basin,<?pagebreak page26?> throughout
rainy and dry seasons, between 2010 and 2014, also using a Diviner –
2000<sup>®</sup> capacitance probe.</p>
      <p id="d1e1560">Figure 7 presents the mean soil moisture for the whole 0–0.40 m layer, for
all sites located at areas with Caatinga vegetation, and the one standard
deviation interval around the mean. Coefficients of variation are also
presented, as well as the net vertical component (R-PET). Larger one
deviation intervals are verified at the beginning of the rainy periods, as a
result of rainfall variability, soil and vegetation heterogeneity, and
topographic control. As the soil profile becomes wetter, lateral flow
increases, also increasing the spatial correlation among different sites, as
pointed out by Grayson et al. (1997), then reducing spatial variability.When
the soil dries, lateral flows are reduced, and the coefficient of variation
increases as the evapotranspiration exceeds rainfall. It can be clearly
observed that a seasonal variation occurred between 2016 and 2017.</p>
      <p id="d1e1563">In spite of the monthly time scale for soil moisture monitoring at the
experimental transect at the head of the basin, general spatial behaviour
for different soil layers can be observed. The temporal variation of the
standard deviation and coefficient of variation can be related to monthly
rainfall and monthly values for R-PET.</p>
      <p id="d1e1566">Mulch and Cactus barriers were both effective treatments in reducing runoff
and soil loss in the experimental plots, as shown in Figs. 8 and 9. By
far, bare soil condition is associated to the highest runoff depths.
According to Fig. 8, for mulching treatment, runoff values are close to
natural vegetation plots (Caatinga), although presenting higher standard
deviations. Such results are consistent with the soil moisture temporal
observation from the near surface CS616 Probes (already shown in Fig. 4).</p>
      <p id="d1e1570">Silva Júnior et al. (2016) also monitored the same experimental basin,
and observed that areas with Caatinga cover presented higher soil moisture
than bare soil or pasture regions. Moreover, de Borges et al. (2014) and
Carvalho et al. (2019) verified that mulching significantly increased soil
moisture, highlighting the potential of such technique in increasing soil
water availability in the semiarid.</p>
      <p id="d1e1573">Figure 9 also compares runoff and soil loss of different cover conditions
with Caatinga. It can be observed that runoff generated at the mulching
cover plot is close to the <inline-formula><mml:math id="M27" display="inline"><mml:mrow><mml:mn mathvariant="normal">1</mml:mn><mml:mo>:</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> line, reinforcing the similar behaviour of
such treatment when compared to the natural vegetation. Rainfall- runoff and
rainfall- soil loss relationships present both an exponential behaviour,
with higher determination coefficients being observed for the former
relationship. Hence, total rainfall explains reasonably the generated
runoff, mainly for bare soil and Palma barriers conditions. As shown,
mulching efficiently protected soil surface, thus increasing infiltration
rate, and enhancing soil water storage, as discussed by Montenegro et al. (2013). Moreover, Brasil et al. (2017) highlighted the role of Caatinga
canopy in reducing rainfall drops kinetic energy and in increasing soil
moisture. Even at a deciduous biome, McLaughlin et al. (2013) verified the
benefit of natural vegetation cover for increasing infiltration and water
storage at the unsaturated zone, and enhancing evapotranspiration.</p>
      <p id="d1e1588">According to the box plot in Fig. 8, the natural Caatinga cover was
efficient on increasing soil water storage. Such result was also reported by
Caloiero et al. (2016). Although the presence of native forest increases
water consumption due to transpiration, it is also verified that near
surface soil moisture increased in comparison to areas where vegetation was
removed.</p>
</sec>
<?pagebreak page27?><sec id="Ch1.S4" sec-type="conclusions">
  <label>4</label><title>Conclusions</title>
      <p id="d1e1599">The study successfully addressed the role of Caatinga natural cover and of
conservation practices (mulching and Palma barriers) for soil and water
conservation in a semiarid ephemeral basin, where evapotranspiration usually
exceeds rainfall. Mulching cover was particularly effective for controlling
soil moisture during the dry periods, contributing to rainfed agriculture in
such areas. The following conclusions could be drawn from this study:
<list list-type="custom"><list-item><label>i.</label>
      <p id="d1e1604">The Caatinga deciduous vegetation is highly effective in terms of soil
and water conservation for both the dry and the wet season, resulting in a
positive nexus between vegetation and water availability at the region. The
highest soil moisture contents have been verified, as well as the lowest
runoff and soil losses rates;</p></list-item><list-item><label>ii.</label>
      <p id="d1e1608">The Cactus barriers and mulching were effective for soil moisture
conservation and for runoff reduction;</p></list-item><list-item><label>iii.</label>
      <p id="d1e1612">Nature-based solutions applying cactus barriers and mulching
efficiently increase soil moisture, reducing runoff and soil losses,
contributing to restore semiarid degraded areas;</p></list-item><list-item><label>iv.</label>
      <p id="d1e1616">In this extremely hot semiarid environment soil moisture spatial
variability increased with rainfall events at the beginning of the rainy
season, and then decreases, due to lateral fluxes. When the soil dries,
lateral flows are reduced, and the coefficient of variation increases as the
evapotranspiration exceeds rainfall.</p></list-item></list></p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e1624">Data is partially part of the second author's ongoing PhD. Hence,  full acess is not  yet possible. Contact Abelardo Montenegro.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e1630">AM and TS  were responsible for the conceptualisation of the field study. Thais Souza conducted the soil analysis. JL, AM and Iug Lopes carried out data interpretation and final review; AA, FL, IL, TA, HL, and HM  were responsible for conducting the field measurements and laboratory analysis, data acquisition and analysis; AM and IL were also responsible for data analysis and interpretation and review, and for writing the original manuscript.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e1636">The authors declare that they have no conflict of interest.</p>
  </notes><notes notes-type="sistatement"><title>Special issue statement</title>

      <p id="d1e1642">This article is part of the special issue “Innovative monitoring techniques and modelling approaches for analysing hydrological processes in small basins”. It is a result of the 17th Biennial Conference ERB 2018, Darmstadt, Germany, 11–14 September 2018.</p>
  </notes><notes notes-type="financialsupport"><title>Financial support</title>

      <p id="d1e1648">This research has been supported by the Foundation for Science and Technology of Pernambuco State (FACEPE) (grant nos. APQ 0300-5.03/17 (Universitas Consortium), APQ 0913-5.03/15 and Doctoral scholarship), by the National Council for Scientific and Technological Development (CNPq) (grant no. 420.488/2018-9 and grant no. 446254/2015-0) and by the Brazilian Innovation Agency (FINEP) (grant REHIDRO no. 1830/10 2010). To the financial support of Project HIRT–Modelling surface hydrologic processes based on infrared thermography at local and field scales (PTDC/ECM-HID/4259/2014 – POCI-01-0145- FEDER-016668), from FCT, Portugal.</p>
  </notes><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e1654">This paper was edited by Britta Schmalz and reviewed by four anonymous referees.</p>
  </notes><ref-list>
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    <!--<article-title-html>Spatio Temporal Soil Moisture Dynamics and Runoff under Different Soil Cover Conditions in a Semiarid Representative Basin in Brazil</article-title-html>
<abstract-html><p>Hydrological studies in small basins are essential for
investigating the role of distinct processes on water resources conservation
and to assess the impact of the natural ecosystems on improving water
security especially in semiarid environments. In Brazil, the cooperative
hydrological Network REHISA (<q>REde de HIdrologia do SemiÁrido</q>)
comprises hydrologists from several universities of Brazil, focusing on
field measurements, monitoring and modeling activities in well instrumented
experimental rural catchments located at different regions and biomes in
Semiarid environment. Water scarcity is a common aspect among the
catchments, as well as risks of soil and water degradation. The objective of
this work is to present assessments of near surface soil moisture
spatial-temporal distribution, and to evaluate the impact of soil
conservation techniques in reducing runoff, using small-scale experimental
plots in a representative catchment of the Pernambuco State, Brazil. The
study catchment is located in Alto Ipanema River Basin (AIRB) (with an area
of 150&thinsp;km<sup>2</sup>), which is located at the semiarid region of the São
Francisco River (area of 641&thinsp;000&thinsp;km<sup>2</sup>). Soil and water monitoring was
performed in experimental plots with different soil cover conditions (Bare
soil plots; Plots with natural cover – Caatinga Biome vegetation; Plots with
cactus Palma barriers; and Plots with mulch cover – Dry grass mulch at 4&thinsp;t&thinsp;ha<sup>−1</sup>), where probes were installed for high resolution soil moisture
assessment. In addition, regular soil moisture monitoring campaigns were
conducted at 7 different locations, using a capacitance probe, with arboreal
and shrub Caatinga vegetation, pasture and bare soil, predominantly
Brachiaria decumbens. Mulch cover runs close to the Caatinga cover, but
still with higher runoff generation, and presenting lower soil moisture
temporal mean values. Caatinga was highly effective in terms of soil and
water conservation at the small basin scale for both the dry and the wet
season, resulting in a positive nexus between vegetation and water
availability at the region.</p></abstract-html>
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</mixed-citation></ref-html>--></article>
