<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.19612.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Above and belowground carbon pools are affected by&#x00a0;dominant floral species in hyper-arid environments</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: peer review discontinued]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Ksiksi</surname>
                        <given-names>Taoufik S.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2598-1530</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Trueman</surname>
                        <given-names>Rebecca</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Abdelfattah</surname>
                        <given-names>Mahmoud</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mousa</surname>
                        <given-names>Mohamed Taher</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Almarzouqi</surname>
                        <given-names>Abdullah Yousif</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Barahim</surname>
                        <given-names>Soltan Abdollah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Biology, UAE University, Al Ain, Abu Dhabi, United Arab Emirates</aff>
                <aff id="a2">
                    <label>2</label>Department of Applied Science and Environmental Technology, Algonquin University, Ottawa, Ontario, K2G1VB, Canada</aff>
                <aff id="a3">
                    <label>3</label>Department of Soil and Water Sciences, Fayoum University, Faoym, Fayoum, Egypt</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:tksiksi@gmail.com">tksiksi@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>7</month>
                <year>2019</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2019</year>
            </pub-date>
            <volume>8</volume>
            <elocation-id>1043</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>21</day>
                    <month>6</month>
                    <year>2019</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Ksiksi TS et al.</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/8-1043/pdf"/>
            <abstract>
                <p>
                    <bold>Introduction:</bold> Carbon (C) pools in desert ecosystems have not been well investigated, especially in relation to quantitative assessment for different compartments. In many ecosystems C uptake may increase, which leads to accelerated C cycling belowground.</p>
                <p>
                    <bold>Methods:</bold> Therefore there is a strong need for C storage in compartments such as phytomass and/or within soils. In the present study we assessed C pools of different soil/vegetation associations as affected by the dominant tree and shrub species.</p>
                <p>
                    <bold>Results:</bold> Mountain valleys had the highest C pool in the phytomass compartment with an average of 3.6 tons per hectare, of which 1.32 tons per hectare were contained aboveground. The introduced 
                    <italic toggle="yes">Prosopis juliflora</italic> had by far the highest average contribution of 3.47 tons of C per hectare. Most of which is in the above ground parts (83.3%) and the remaining is sequestered below ground. 
                    <italic toggle="yes">Halopeplis perfoliata</italic>, however, contributed the least C to the desert systems of the UAE. Some land forms, such as mountain valleys, were shown to sequester more C than others, which constitute a good reason to improve their conditions.</p>
                <p>
                    <bold>Conclusions:</bold> Few shrub/tree species, such as 
                    <italic toggle="yes">P. juliflora</italic>, were also reported to have high potentials as a C pool in the hyper-arid environment of the UAE.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Carbon Pool</kwd>
                <kwd>Climate Change</kwd>
                <kwd>Climate Ecology</kwd>
                <kwd>Tree Carbon Storage</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100006013">
                    <funding-source>National Research Foundation (United Arab Emirates)</funding-source>
                    <award-id>21S095-U-IRCA2014</award-id>
                </award-group>
                <funding-statement>This project was funded by the National Research Foundation&#13;
- UAE (Fund No. 21S095-U-IRCA 2014).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>The potential for desert plant species to capture carbon (C) has not been well investigated, especially with the potential impact of enhanced greenhouse gas emissions. This was supported by leading investigators such as Lal and colleagues
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>, who stated that the contributions of soil organic C dynamics on CO
                <sub>2</sub> as a greenhouse gas, and its strategic importance in mitigating enhanced atmospheric CO
                <sub>2</sub> are not well accepted. Moreover, estimates of net ecosystem production in deserts are incompatible with recent net primary production and C pools in deserts
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. The potential for desertified ecosystems to sequester C are still considerable
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. But a significant part of C can be sequestered within a reasonable time frame
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. Especially that estimates of soil organic carbon (SOC) pool in desert and semi-desert ecosystems, for instance, are in the order of 159-191 billion tons C. But the role of SOC on historic increase in atmospheric CO
                <sub>2</sub> are not widely recognized
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>.</p>
            <p>Li 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup> studied soil carbon sequestration potential in semi-arid grasslands with significant offsets to increasing atmospheric CO
                <sub>2</sub> levels may be achieved in addition to erosion control and improved wildlife habitat. Atmospheric CO
                <sub>2</sub> concentrations continue to rise due to human activities. CO
                <sub>2</sub> is a leading greenhouse gas, the levels of which are directly affected by anthropogenic activities. In forested ecosystems there is a ubiquitous initial increase in net primary productivity
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>, however, as these systems shunt more C belowground heterotrophic communities may increase activity, resulting in net soil C losses. Similarly, in grassland ecosystems C uptake may increase, which in turns leads to increased rates of C cycling belowground and speeds up the loss of C from the slowest cycling C pool
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. There is a need for C storage in different pools, with long residence times or which transfer C from organic to inorganic forms. Arid and semi-arid regions, for instance, account for about 30% of the earth terrestrial surface
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup> and these important areas are expanding due to anthropogenic impact. However, these arid environments have been understudied, despite recent studies that have shown these environments may be sinks for atmospheric CO
                <sub>2</sub>
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. The stability of soil C is also affected by desertification processes
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>.</p>
            <p>There is a strong need to study semi-arid shrublands and deserts, since studies have shown that they remove similar amounts of CO
                <sub>2</sub> from the air as forests and grasslands
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. These semi-arid lands have high CO
                <sub>2</sub> uptake due to three main factors: 1) the expansion of shrubland vegetation, 2) the cryptobiotic crust communities and 3) the accumulation of C in soil carbonates. These mechanisms may increase C in both above and belowground C pools which may sequester C and retain it in pools with various mean residence times. It has been estimated that arid and semi-arid soils may remove as much as 5.1 g C/m
                <sup>2</sup>/year from the atmosphere
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. Stanbery 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup> examined variability in soil carbonate storage at the pedon-scale, quantified analytical and measurement error isn soil carbonate measurements and defined the amount of carbonate stored in gravelly vs. non-gravelly
soils.</p>
            <p>Other studies have shown that this accumulation of C in soils as carbonates can occur over a very short period of time
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup> and that the conditions that lead to increased soil carbonates may be controlled by vegetation and the availability of calcium and bicarbonate
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. The use of native plant species has also been suggested to improve soil C sequestration
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. Land management may affect future amounts of SOC in semi-arid areas thereby turning them from sources into sinks of C
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. Encouraging sustainable land management practices can contribute to restoring soil organic C stocks and to creating new C sinks, leading to improved C sequestration potentials
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. Additionally, land management may turn sources of SOC into sinks of C in semi-arid areas
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>.</p>
            <p>The present work was intended to consequently contribute to assessing C pools in the hyper-arid ecosystems of the UAE, using biomass that affects C allocation in the belowground compartment. Of great interest was to determine which species present the greatest increases in belowground organic and inorganic C pools. Globally, soils store more than twice the amount of C than is present in the atmosphere and terrestrial biomass C pools, combined
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. Soil organic C may also have a longer mean residence time than atmospheric CO
                <sub>2</sub> (5 years) or terrestrial biomass C pools  (9  years,  globally  averaged)
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>,
                    <xref ref-type="bibr" rid="ref-23">23</xref>
                </sup>. Even more exciting is the ability of some arid ecosystems to take atmospheric C, fix it via photosynthesis, move that organic C belowground and eventually transform that organic C into inorganic C under relatively short time scales
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. These arid ecosystems have not been well investigated and it is unclear which plant species possess the greatest ability to sequester C both below as well as above-ground. In the present study we measured C sequestration potentials of different soil/vegetation associations as affected by the dominant tree and shrub species. It is therefore aimed to accurately quantify the amount of C removed from the atmosphere and stored in above and belowground C pools of plants that are native to this hyperarid  environment.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Study site</title>
                <p>This study site covered various land forms covering various areas across the United Arab Emirates (UAE). 
                    <xref ref-type="table" rid="T1">Table 1</xref> list the location of the study plots, including geographical coordinates. The soil/vegetation features of each plot is also indicated. 
                    <xref ref-type="fig" rid="f1">Figure 1</xref> also overlays the location of the study sites.</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>List of land forms and respective sampling sites with their geographic coordinates. Site IDs are extracted from the United Arab Emirates Soil Information System
                            <sup>
                                <xref ref-type="bibr" rid="ref-25">25</xref>
                            </sup>.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Land Form</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">Site ID</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">Lat</th>
                                <th align="right" colspan="1" rowspan="1" valign="top">Long</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sand Dunes</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.09</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.25</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE1</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.62</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.73</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.14</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.73</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.17</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD2</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">54.83</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.86</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gravel Plains</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D10</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">53.28</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.02</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D11</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">53.39</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D12</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">53.59</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.08</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D13</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.96</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.12</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D14</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.86</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D15</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">54.26</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">22.94</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D16</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">54.87</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.25</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.44</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.49</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">52.68</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.08</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E10</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.93</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.27</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E11</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.76</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.91</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Plains</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E12</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.85</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.21</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E13</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.96</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.65</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E14</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.75</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.93</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">E15</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.93</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.48</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sabkhas</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD3</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">51.81</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.98</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">52.71</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.86</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">54.19</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.90</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE4</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.65</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.58</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE5</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.61</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.64</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.57</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.79</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.64</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sand Plains</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D17</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">52.88</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.01</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D18</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">54.84</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.34</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">D19</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.44</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">23.49</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mountain Valleys</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD6</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.74</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.09</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">AD7</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">55.77</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">24.06</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE8</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">56.10</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.83</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">NE9</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">56.06</td>
                                <td align="right" colspan="1" rowspan="1" valign="top">25.78</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>A map overlaying the location of the study sites across the UAE.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/21505/a63c853d-4dab-41cb-9ecf-d5514d2e3d34_figure1.gif"/>
                </fig>
                <p>A total of of 30 sites were visited in this study between May and September 2015. Sites represented diffrent land forms as described in 
                    <xref ref-type="table" rid="T1">Table 1</xref> A site consisted of 10 &#x00d7; 10 m plots. Tree, shrub and herbaceous (if present) dimensions were assessed.</p>
            </sec>
            <sec>
                <title>Aboveground biomass sampling</title>
                <p>Aboveground plant samples were collected from leaves and stems. Samples were dried to estimate C content following the method reported previously
                    <sup>
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup>.</p>
                <p>The amount of litter collected within three separate quadrats (10 &#x00d7; 10 cm), from underneath each plant, was weighed to estimate litter fall per unit area. The samples were then air dried, ground to 20 mesh in a Wiley mill, and oven-dried at 50
                    <sup>&#x00b0;</sup>C for 48 h. Subsamples were used to determine moisture content (at abut 105
                    <sup>&#x00b0;</sup>C for 48 h), ash content (500
                    <sup>&#x00b0;</sup>C for 12 h) and total C fraction composition.</p>
            </sec>
            <sec>
                <title>Soil sampling and analyses</title>
                <p>Soil cores were taken from each plant, within 0.5m of the plant main stem/trunk. Soil samples were dried for total C. Analyses were done using a Thermo Scientific Flash 2000 Combustion CHNS/O Analyzer. The amount of soil organic C (SOC) was determined.</p>
            </sec>
            <sec>
                <title>Carbon estimation in woody species</title>
                <p>Woody species were collected and kept in the herbarium of Biology Departmnet, UAE University. Following the methods described by 
                    <xref ref-type="bibr" rid="ref-26">26</xref>, the diameter at breast height (DBH) was measured for all tree species. While the basal diameter (BD) was measured for all shrubs within the sampling areas. Sampling plots were selected across the 22 sites measuring 10 &#x00d7; 10 m.</p>
                <p>Published allometric equations
                    <sup>
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup> were adopted to assess carbon stocks in tree and shrub species. The fresh biomass for trees and shrubs was estimated using the following equations:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>For trees: 
                            <italic toggle="yes">Y</italic> = 0.1975 
                            <italic toggle="yes">&#x00d7; DBH &#x00d7;</italic> 1.1859</p>
                    </list-item>
                    <list-item>
                        <p>For shrubs: 
                            <italic toggle="yes">Y</italic> = 0.1936 
                            <italic toggle="yes">&#x00d7; B D &#x00d7;</italic> 1.1654</p>
                    </list-item>
                </list>
                <p>While the above equations estimate fresh weight, a 0.6 constant was used to estimate dry weight and 0.5 to estimate carbon content
                    <sup>
                        <xref ref-type="bibr" rid="ref-28">28</xref>
                    </sup>. Root carbon was estimated using 0.2 reduction factor
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>. Tons per hectare are the units used hereafter.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Variations between land forms</title>
                <p>Mountain valleys sequestered the highest C in the phytomass compartment with an average of 3.6 tons per hectare (
                    <xref ref-type="table" rid="T2">Table 2</xref>), of which 1.32 tons per hectare were as aboveground tree biomass. The soil carbon compartment for this landform was 1.08 tons per hectare. Sand plains, had the smallest average sequestration potentials of 1.61 tons per hectare.</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Carbon stocks in different land forms of the UAE for both shoot and root components.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Land Forms</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">BG (Shrubs)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">AG (Shrubs)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">BG (Trees)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">AG (Trees)</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Soil C</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Total C (Kg=Ha)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sand Dunes</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.13</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.67</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.15</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.74</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.73</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2.42</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Gravel Plains</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.03</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.15</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.23</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.13</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.97</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Plains</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.23</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.15</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.13</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.64</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.85</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sabkhas</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.13</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.65</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.12</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.58</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.07</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2.55</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Sand Plains</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.14</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.68</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">-</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.79</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.61</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Mountain Valleys</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.16</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.78</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">0.26</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.32</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">1.08</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">3.60</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <p>The proportions of carbon sequestration was highest in the soil compartment within sand plains (i.e. 49.1%). Soil carbon sequestration was lowest for plains with an average of 28.3%.</p>
                <p>For tree species&#x2019; contributions to C sequestration, mountain valleys had the highest contributions of 1.32 and 0.26 tons per hectare as shoot and root phytomass; respectively (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). The lowest contribution from trees was observed in Sabkhas with average of 0.58 and 0.12 tons per hectare in shoots and roots, respectively.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Carbon stocks (shoot and root components) in different land forms of the UAE.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/21505/a63c853d-4dab-41cb-9ecf-d5514d2e3d34_figure2.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Variations between plant species Trees</title>
                <p>

                    <italic toggle="yes">Prosopis  cineraria</italic>,  
                    <italic toggle="yes">Acacia  tortilis</italic> and  
                    <italic toggle="yes">Zyzyphus  spinachristi</italic> were the three dominant trees species recorded (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). The highest contribution was from 
                    <italic toggle="yes">Z. spinachristi</italic> with an average of 1.73 tons per hectare of sequestered C. The proportions were 83.2% and 16.7% as contributions from shoots and roots, respectively. 
                    <italic toggle="yes">Prosopis cineraria</italic> contributed the least in C sequestration with averages of 0.64 ton per hectare and 0.13 ton/ha as shoot and root components; respectively. Raw results are available as 
                    <italic toggle="yes">Underlying data</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Carbon stocks (shoot and root components) in the three most important tree species in the UAE.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/21505/a63c853d-4dab-41cb-9ecf-d5514d2e3d34_figure3.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Shrubs</title>
                <p>Shrubs species contributions to C sequestration is summarized in 
                    <xref ref-type="fig" rid="f4">Figure 4</xref>.   The introduced 
                    <italic toggle="yes">Prosopis juliflora</italic> had by far the highest average contribution of 3.47 tons of C per hectare. Most of which is in the above ground parts (83.3%) with the remaining C allocated belowground (i.e. 0.58 tons per hectare).   An average C sequestration of 0.89 tons per hectare was estimated for 
                    <italic toggle="yes">Arthrochnemum macrostachyum</italic> and 0.76 tons per hectare for 
                    <italic toggle="yes">Haloxylon salicornicum</italic>. Both species are important in the saline soils of the UAE; about 83% and 84% of the Carbon is in the shoot system of each shrub, respectively. 
                    <italic toggle="yes">Halopeplis perfoliata</italic>, however, contributed the least C to the desert systems of the UAE. An average C sequestration of about 0.04 tons per hectare was estimated for this halophyte species common in salt marshes.</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Carbon stocks (shoot and root components) in the most important shrub species in the UAE.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/21505/a63c853d-4dab-41cb-9ecf-d5514d2e3d34_figure4.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Variations in litter C content</title>
                <p>The percent litter content from various plant sources is summarized in 
                    <xref ref-type="table" rid="T3">Table 3</xref>. The average C content of litter from 
                    <italic toggle="yes">A. tortilis</italic> was the highest at about 49%. Litter from 
                    <italic toggle="yes">S. imbricata</italic> and 
                    <italic toggle="yes">A. macrostachyum</italic> had average C content of 48.8% and 47.7%, respectively. The lowest C levels were measured in 
                    <italic toggle="yes">P. juliflora</italic> litter , at about 36.5%.</p>
                <table-wrap id="T3" orientation="portrait" position="anchor">
                    <label>Table 3. </label>
                    <caption>
                        <title>Carbon content of litter from various plant sources in the study plots.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Litter Source</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">% C</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">A. tortilis</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">P. juliflora</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">S. imbricata</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">A. macrostachyum</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">Z. mandavillei</italic>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36.9</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>Here we measured the potentials of C pools in different land forms (soil/vegetation associations) as affected by the dominant tree and shrub species. Plant characteristics regulate soil carbon storage through the outcomes of C assimilation and its storage belowground
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>. Changes in ecosystem soil C may be in response to a variety of management as well as environmental factors
                <sup>
                    <xref ref-type="bibr" rid="ref-32">32</xref>
                </sup>. It therefore aimed to accurately quantify the amount of C removed from the atmosphere and stored in above and belowground C pools of plants that are native to the UAE arid environment. The C stored in aboveground components constitutes one-third of that in soils
                <sup>
                    <xref ref-type="bibr" rid="ref-33">33</xref>
                </sup>. However, this differs from ecosystem to ecosystem as a relationship between soil C and climate have been reported, especially the positive impact of precipitation
                <sup>
                    <xref ref-type="bibr" rid="ref-34">34</xref>
                </sup>. Mountain valleys sequestered the highest C in the phytomass compartment, with an average of 3.6 tons per hectare. It may be because of the limited anthropogenic impact on such ecosystems in the UAE. Human intrusions, such as that in relation to degradation, added to the further depletion of soil C
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>.</p>
            <p>Desertification, degradation of soil and vegetation because of anthropogenic factors, among others, affect close to 4 billion ha globally
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>. The rate of desertification is estimated at 5.8 million ha per year
                <sup>
                    <xref ref-type="bibr" rid="ref-35">35</xref>
                </sup>. Here it was the case for gravel plains, which was the most affected soil/vegetation association in the UAE. Unwanted plant species, which were indicators of overgrazing, were most abundant in such plains
                <sup>
                    <xref ref-type="bibr" rid="ref-36">36</xref>
                </sup>. The proportions of carbon sequestration was highest in the soil compartment within sand plains (i.e. 49.1%). Soil carbon sequestration was lowest for gravel plains, with an average of 28.3%. At the species level, the highest contribution was from 
                <italic toggle="yes">Z. spina christi</italic>, with an average of 1.73 tons per hectare of sequestered C. A different 
                <italic toggle="yes">Ziziphus</italic> was reported to sequester 24 Mg/Ha
                <sup>
                    <xref ref-type="bibr" rid="ref-37">37</xref>
                </sup>. For the introduced 
                <italic toggle="yes">P. juliflora</italic>, we reported by far the highest average contribution of tons of C per hectare, most of which is in the aboveground part. It is important to note that such introduced species are widespread and still occupying more areas in the UAE. In semi-arid areas to which 
                <italic toggle="yes">Prosopis</italic> and 
                <italic toggle="yes">Acacia</italic> are adapted, 6.210
                <sup>9</sup> Mg of carbon would be sequestered. Litter is an important aspect in the dynamics of soil C pools. Biological and physical processes play critical functions in litter decomposition
                <sup>
                    <xref ref-type="bibr" rid="ref-38">38</xref>
                </sup>. In this study, we report that the average C content of litter from 
                <italic toggle="yes">A. tortilis</italic> was the highest at about 49%. A large accumulation of C in the litter layer was reported in a forest ecosystem
                <sup>
                    <xref ref-type="bibr" rid="ref-39">39</xref>
                </sup>. Land management also plays important roles in litter accumulation. Higher litter accumulation was reported when the land management was appropriate
                <sup>
                    <xref ref-type="bibr" rid="ref-40">40</xref>
                </sup>.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>In short, some land forms, such as mountain valleys, were shown to sequester more C than others, which constitutes a good reason to improve their conditions and minimise anthropogenic impacts. Focusing future identification of protected areas can be a practical option to improve these types of soil associations. Few shrub/tree species were also reported to have high potentials for C sequestration in the hyper-arid environment of the UAE. Species such 
                <italic toggle="yes">P. juliflora</italic> are an example of floral species that accumulate large amounts of soil C. Such species, despite its negative invasive features, may be a good candidate to re-vegetate many of the marginal lands in the UAE.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Figshare: Soil Carbon. 
                    <ext-link ext-link-type="uri" xlink:href="https://dx.doi.org/10.6084/m9.figshare.8281430">https://doi.org/10.6084/ m9.figshare.8281430</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>.</p>
                <p>This project contains SOILCarbon.zip, which contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>PlantC.csv (detailing the plant carbon weight, where &#x2019;Before + C&#x2019; represents the weight of the plant and crucible before heating and &#x2019;After + C&#x2019; represents the weight of the plant and crucible after heating).</p>
                    </list-item>
                    <list-item>
                        <p>PlantSamples.csv (detailing the weight of plant samples before and after heating).</p>
                    </list-item>
                    <list-item>
                        <p>ShrubDim.csv (detailing the dimension of the assessed shrubs, where &#x2019;basal&#x2019; refers to the length of the stem, the lefthand &#x2019;crown&#x2019; refers to the length of the crown of the shrub and the righthand &#x2019;crown&#x2019; refers to the width of the crown).</p>
                    </list-item>
                    <list-item>
                        <p>SoilC.csv (detailing the soil carbon weight; for &#x2019;kind of sample&#x2019;, &#x2019;in&#x2019; refers to soil taken from next to the plant and &#x2019;out&#x2019; refers to soil taken from the same site but away from the plant).</p>
                    </list-item>
                    <list-item>
                        <p>TreeDim.csv (Detailing the dimensions of the tree).</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors are therefore grateful for the NRF funding and the UAEU support in making this project a successful collaboration. The support from our collaborators: the Environmental Agency Abu Dhabi and the Algonquin College - Ottawa, Canada is much appreciated. The help from Shaijal Ppuoyole and Abdul-Rasheed Palakot is also much appreciated.</p>
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