<?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="review-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.130038.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Review</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Water-energy-food-ecosystem nexus and sustainable development in the Horn of Africa</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Kanda</surname>
                        <given-names>Edwin Kimutai</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/">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/0000-0002-5357-1005</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>Awandu</surname>
                        <given-names>Willis</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3075-5298</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Lusweti</surname>
                        <given-names>Elizabeth</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</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>Mukolwe</surname>
                        <given-names>Micah M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Civil and Structural Engineering, Masinde Muliro University of Science and Technology, P.O Box 190, Kakamega, 50100, Kenya</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ekanda@mmust.ac.ke">ekanda@mmust.ac.ke</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>7</day>
                <month>2</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>143</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>1</day>
                    <month>2</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Kanda EK et al.</copyright-statement>
                <copyright-year>2023</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/12-143/pdf"/>
            <abstract>
                <p>Water, energy and food (WEF) security are key indicators of sustainable development. Realization of sustainable development goals (SDGs) by countries is achieved through a water-energy-food-ecosystem nexus framework. Climate change is a threat to food, energy and water security in the Horn of Africa. The main aim of this review is to assess the status and prospects of WEF nexus as it relates to SDGs in the horn of Africa. The countries considered were Ethiopia, Eritrea, Somalia and Djibouti. The review indicated that the four countries have a challenge in achieving SDGs 2, 6 and 7. Djibouti had the highest (50.9) WEF index in the region followed by Ethiopia and Somalia at 47.5 and 36.8, respectively while Eritrea had the lowest WEF index of 35.8. The energy sub-index was the best performer in the region with an average index of 56 while water and food sub-indices were the worst at 36. Political instability, insecurity, inadequate infrastructure, weak institutional and legal framework are some of the challenges facing WEF and sustainable development in the region. Climate change adaptation measures should be incorporated into the water, energy, food and ecosystem (WEFE) nexus using an integrated approach. Modelling WEFE requires integration of models and should also focus on interactions among the sub-systems.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>climate change</kwd>
                <kwd>energy-water-food security</kwd>
                <kwd>renewable energy</kwd>
                <kwd>sustainable development goals</kwd>
                <kwd>water scarcity</kwd>
                <kwd>water-energy-food index</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>The provision of water in adequate quality and quantity, affordable and reliable energy services, and food security are key pillars for development of any country. These three sectors (water, energy and food) are interlinked and thus require an holistic approach to maximize and minimize the synergies and trade-offs respectively. A good understanding of the interactive nature among water, energy and food (WEF) resources in their temporal and spatial scale can enhance the resource security and facilitate the inter-sectoral and holistic approaches in decision making that will eventually lead towards the sustainability requirements (
                <xref ref-type="bibr" rid="ref11">Awandu 
                    <italic toggle="yes">et al.</italic>, 2022</xref>). The demand on the resources required in these sectors are stressed by climate change, population growth, urbanization and industrialization. Therefore, synergies in the nexus need to be addressed through coherent policies and multi-functional systems or models (
                <xref ref-type="bibr" rid="ref51">Liu 
                    <italic toggle="yes">et al.</italic>, 2017</xref>).</p>
            <p>Addressing the WEF nexus requires the knowledge of its strong links with the natural ecosystem and water-energy-food-ecosystem (WEFE) nexus is desirable. Sustainable development goals (SDGs), established by the United Nations General Assembly, on food security, water and sanitation, health, clean and affordable energy, climate action, economic growth, peace and justice, and life in water and life on land implies that an holistic approach to a WEFE system is ideal in achieving them. This is hardly the case in most countries in Africa where the WEF sectors are addressed by sector-specific institutions driven by sector mandates (
                <xref ref-type="bibr" rid="ref62">Nhamo 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). This silo approach does not achieve desirable outcomes due to the interdependence of these sectors.</p>
            <p>Sub-Saharan Africa countries have water, energy and food insecurity challenges due to a number of factors such as top-down WEF development approaches, increasing population, low economic growth, natural disasters and unfavourable climatic conditions, overexploitation of WEF resources, conflicts, poorly coordinated market reforms and poor governance in WEF sectors (
                <xref ref-type="bibr" rid="ref65">Nkiaka 
                    <italic toggle="yes">et al.</italic>, 2021</xref>). The Africa region is off-track in achieving the SDG 7 (access on affordable, reliable, sustainable and modern energy); in 2021, 43% of the population of Africa, around 600 million people, still lacked access to electricity, 590 million of them being in sub-Saharan Africa (
                <xref ref-type="bibr" rid="ref42">IEA, 2022a</xref>).</p>
            <p>The Horn of Africa is faced with serious challenges among them water scarcity, which is compounded by climate change. The countries in the Horn of Africa are either arid or arid and semi-arid land (ASAL) with Somalia and Djibouti being 100% arid while Eritrea and Ethiopia are 80% and 51% ASAL respectively (
                <xref ref-type="bibr" rid="ref68">Olet 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). The countries in the greater Horn of Africa region in general have experienced increased occurrence of drought and flood events (
                <xref ref-type="bibr" rid="ref64">Nicholson, 2014</xref>). Besides water insecurity, the region is facing environmental challenges such as deforestation, land degradation, food insecurity and loss of biodiversity (
                <xref ref-type="bibr" rid="ref55">Mohamed, 2014</xref>). For example, Ethiopia, home to a rich and diverse flora and fauna, has already been critically affected by the loss of biodiversity (
                <xref ref-type="bibr" rid="ref3">Admassu 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). The region&#x2019;s heavy reliance on economic structures in climate-sensitive sectors, such as rain-fed agriculture, pastoralism and fishing, makes them extremely vulnerable to climate induced shocks (
                <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). A study by 
                <xref ref-type="bibr" rid="ref65">Nkiaka 
                    <italic toggle="yes">et al.</italic> (2021)</xref> established that none of the countries in the Horn of Africa achieved a WEF index of above 0.5 indicating high insecurity levels with Djibouti ranking the highest at 0.42 followed by Eritrea and Ethiopia with 0.27 and 0.25 respectively.</p>
            <p>Water accessibility is a challenge in the Horn of Africa, where most people rely on water delivered by vendors on trucks or donkey carts, which has led to an increase in the cost of water with some areas worst hit by drought increasing by up to 400 per cent (
                <xref ref-type="bibr" rid="ref85">UNICEF, 2022</xref>). The water sector in the Horn of Africa countries is characterized by inadequate policy, legal and regulatory frameworks (
                <xref ref-type="bibr" rid="ref68">Olet 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). Persistent conflicts in the Horn due to political fragility is one of the key drivers of famine and strain on food, water and health systems and forced migrations or displacement (
                <xref ref-type="bibr" rid="ref85">UNICEF, 2022</xref>).</p>
            <p>The region is facing food and energy insecurity challenges. Global events such as the Covid-19 pandemic and Russia&#x2019;s war on Ukraine have increased the region&#x2019;s vulnerability in terms of food and energy security since most of the countries are net importers of gas and oil, and farm inputs such as fertilizers as well as direct importers of cereals such as wheat and maize from Ukraine and Russia (
                <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>).</p>
            <p>This review aims to understand the WEFE nexus in the Horn of Africa. An evidence search was conducted in the following databases: Web of Science, Scopus, Google Scholar and databases of organizations such as the World Bank, International Energy Agency (IEA), Food and Agriculture Organizations (FAO) and other UN agencies like the World Food Programme (WFP), United Nations Development Programme (UNDP) and United Nations Children Fund (UNICEF). The search strategy utilised the Boolean operators (OR &amp; AND) without emphasis on the publication date in order to get a wider view of the concepts. The search strategy was a trial-and-error process using title, abstract and keywords. Some of the search phrases used include &#x201c;food security&#x201d;, &#x201c;water security&#x201d;, &#x201c;energy security&#x201d; &#x201c;sustainable development goals&#x201d; &#x201c;Horn of Africa&#x201d;, &#x201c;Ethiopia&#x201d;, &#x201c;Eritrea&#x201d;, &#x201c;Somalia&#x201d;, &#x201c;Djibouti&#x201d;, water-energy-food nexus&#x201d; &#x201c;climate change impacts and water-energy-food&#x201d; &#x201c;water and energy security&#x201d;, &#x201c;water and food&#x201d;, &#x201c;energy and food&#x201d; &#x201c;water management&#x201d; &#x201c;droughts&#x201d;, &#x201c;floods&#x201d; and &#x201c;climate change&#x201d;.</p>
            <p>The literature on WEFE is wide and it was difficult to conduct an exhaustive search of all articles. Therefore, this review was not meant to be exhaustive but to capture key aspects of the WEF nexus as a way of understanding the status and the prospects of the nexus in achieving sustainable development in the selected countries. This will inform intervention measures for addressing the key challenges in these three critical sectors and their interactive nature with the environment which requires an integrated approach as opposed to silo or sector specific measures.</p>
            <p>The rest of the article is structured as follows: Firstly, the study countries are described and secondly WEFE indicators and sustainable development are discussed. Thirdly, the impact of climate change on the WEF nexus is presented. Fourthly, modelling WEFE nexus is highlighted and finally a conclusion is provided.</p>
        </sec>
        <sec id="sec2">
            <title>Study countries</title>
            <p>The countries considered in the Horn of Africa are Ethiopia, Eritrea, Djibouti and Somalia. This is the traditional definition of the Horn of Africa which distinguishes it with the greater Horn of Africa that includes the additional countries of Kenya, Sudan, South Sudan, Tanzania, Burundi, Rwanda and Uganda.</p>
            <p>Ethiopia is the second most populous country in Africa (after Nigeria) with a population of 115 million (
                <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). Agriculture remains the main activity in the Ethiopian economy and contributes, on average, 47 percent of GDP, employing over 85 percent of the population and accounting for about 90 percent of the country&#x2019;s total export earnings (
                <xref ref-type="bibr" rid="ref3">Admassu 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). The country is blessed with surface water resources which constitutes approximately 20% of the technically feasible water resources potential in Africa but they are under-exploited (
                <xref ref-type="bibr" rid="ref37">Hailu and Kumsa, 2021</xref>).</p>
            <p>Eritrea has an area of 101,000 km
                <sup>2</sup> and it borders the Red Sea to the northeast and east, Ethiopia to the south and west, Sudan to the west and Djibouti to the southwest (
                <xref ref-type="bibr" rid="ref2">ADB, 2021</xref>). The country had a population of 3.5 million in 2020, giving a density of 35.1 people per km
                <sup>2</sup> of land area with an urban population of 63.3% (
                <xref ref-type="bibr" rid="ref2">ADB, 2021</xref>). Eritrea has a long coastline (about 1200 km) along the Red Sea with a varying topography and climatic conditions. The climate is hot and arid on the coast of Red Sea, sub-humid in the eastern escarpments and semi-arid in the central highlands (
                <xref ref-type="bibr" rid="ref32">Ghebru 
                    <italic toggle="yes">et al.</italic>, 2013</xref>). Agriculture contributes 20% of the GDP and employs 50% of the population. Eritrea has varying agricultural systems namely rainfed, commercial and semi-commercial, peri-urban, irrigated, and agro-pastoral (
                <xref ref-type="bibr" rid="ref32">Ghebru 
                    <italic toggle="yes">et al.</italic>, 2013</xref>).</p>
            <p>The federal republic of Somalia has a total population of 15 million in an area of 637,655 km
                <sup>2</sup> and is bordered by the Indian Ocean (to the east), Kenya (to the west and south), Ethiopia to (the west) and Djibouti (to the north) (
                <xref ref-type="bibr" rid="ref59">Mourad, 2022</xref>). The country has one of the lowest GDP in sub-Saharan Africa (
                <xref ref-type="bibr" rid="ref48">Karamba, 2021</xref>) and poverty is widespread, with 70% of Somalis living on less than USD 1.90 a day (
                <xref ref-type="bibr" rid="ref89">WFP, 2022</xref>). The agriculture sector, especially the livestock sub-sector, still forms the backbone of Somalia&#x2019;s economy, accounting for about 65 percent of Somalia&#x2019;s GDP and 93 percent of total exports (
                <xref ref-type="bibr" rid="ref48">Karamba, 2021</xref>). The country is in a fragile state and one of the least environmentally sustainable countries due to deforestation occasioned by charcoal being a main source of energy in both rural and urban areas (
                <xref ref-type="bibr" rid="ref12">Aynte 
                    <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
            <p>Djibouti is located to the southern extremity of the Red Sea in the Horn of Africa bordering Eritrea to the north, Ethiopia to the west and south and Somalia to the southeast (
                <xref ref-type="bibr" rid="ref21">Dabar 
                    <italic toggle="yes">et al.</italic>, 2022</xref>). It has the smallest population in the Horn of Africa with around one million inhabitants (
                <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). The majority of the population (65%) live in the capital, Djibouti-ville, and 20% live in other urban areas. The hinterland, an extension of the arid lands of Ethiopia, Eritrea and Somalia, is sparsely populated by pastoral and nomadic populations (
                <xref ref-type="bibr" rid="ref56">Mora 
                    <italic toggle="yes">et al.</italic>, 2010</xref>). Djibouti&#x2019;s climate varies considerably with hot and dry season occurring from June to September and cooler but erratic rainfall season from October to March (
                <xref ref-type="bibr" rid="ref60">Moussa Omar 
                    <italic toggle="yes">et al.</italic>, 2021</xref>).</p>
        </sec>
        <sec id="sec3">
            <title>WEF indicators and sustainable development</title>
            <p>Achievement of water, energy and food inter-sectoral security without jeopardizing the ecosystem health with consideration of the existing and future external pressures such as population growth, increased urbanization and industrialization, and climate change can be summarized as attaining key SDG targets. This requires both national and international co-operation and partnership more so because of the transboundary nature of some of these resources such as water and food supply chains.</p>
            <p>The WEF nexus indicators obtained from 
                <xref ref-type="bibr" rid="ref75">Simpson 
                    <italic toggle="yes">et al.</italic> (2022)</xref> at 
                <ext-link ext-link-type="uri" xlink:href="https://www.wefnexusindex.org">https://www.wefnexusindex.org</ext-link> shows that the four countries have varying WEF indices, but the region has a low WEF index (42.7) which implies higher WEF insecurity. The countries are at varying levels of attaining SDG 2, SDG 6 and SDG 7. Djibouti is the only country with a WEF index above 50 (50.9) with Ethiopia, Eritrea and Somalia having indices of 47.5, 35.8 and 36.8 respectively (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). These results were more or less the same as those found by 
                <xref ref-type="bibr" rid="ref65">Nkiaka 
                    <italic toggle="yes">et al.</italic> (2021)</xref> where Djibouti ranked the highest with a WEF index of 0.42 followed by Eritrea and Ethiopia with 0.27 and 0.25 respectively with no data for Somalia.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>WEF nexus index in the Horn of Africa.</title>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/142765/2922b948-3cb9-4c2a-8a4a-6e4a72c4224c_figure1.gif"/>
            </fig>
            <p>The energy sub-index was the highest in the region with an average score of 56. Water and food sub-indices were very low with a score of 36 each implying that these two sub-indices contributed to the region&#x2019;s poor WEF status. Therefore, interventions targeting food and water but under the nexus framework will help in achieving SDGs in the region.</p>
            <p>The energy sub-index was highest in all the countries with Djibouti leading with 60.4 followed by Ethiopia and Somalia with 59.4 and 58.5 respectively. Eritrea has the lowest score of 45.8. Energy data for Somalia and Djibouti is scant (
                <xref ref-type="table" rid="T1">Table 1</xref>) and thus the indices obtained in 
                <xref ref-type="fig" rid="f1">Figure 1</xref> may not be a true representation of the energy situation. Somalia has the lowest electricity access in the region with only 36% of the population being able to access the service (
                <xref ref-type="table" rid="T1">Table 1</xref>) but this value is offset by a 0.95 (the highest in the region) ratio of renewable energy consumption to final energy consumption. Djibouti has the highest access to electricity in the region at 61% while Ethiopia and Eritrea have 48% and 50% respectively. Therefore, these countries must work very hard to achieve SDG 7.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>WEF indicators in the Horn of Africa.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">WEF</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Indicator</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Description of indicators</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Ethiopia</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Eritrea</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Somalia</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Djibouti</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="center" colspan="1" rowspan="6" style="background-color:#C6D9F1" valign="middle">Water</td>
                            <td align="center" colspan="1" rowspan="3" style="background-color:#C6D9F1" valign="middle">Accessibility</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">The number of people using at least basic drinking water services (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">49.6</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">51.8</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">56.5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">76</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">The number of people using at least basic sanitation services (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">8.9</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">39.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">66.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">Degree of IWRM implementation (1-100).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">41</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">22</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">-</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="4" style="background-color:#C6D9F1" valign="middle">Availability</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">Annual freshwater withdrawals, total (% of internal resources).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">8.6</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">20.8</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">55</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">6.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">Renewable internal freshwater resources per capita (m
                                <sup>3</sup>).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">114.6</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">820.4</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">411.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">317.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">Environmental flow requirements (10
                                <sup>6</sup> m
                                <sup>3</sup>/annum).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">89.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">2.1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">1.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">-</td>
                        </tr>
                        <tr>
                            <td colspan="1" rowspan="1" style="background-color:#C6D9F1"/>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">Average precipitation in depth (mm/annum).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">848</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">384</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">282</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#C6D9F1" valign="top">220</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="6" style="background-color:#FFC000" valign="middle">Energy</td>
                            <td align="center" colspan="1" rowspan="4" style="background-color:#FFC000" valign="middle">Accessibility</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Number of people with access to electricity (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">48.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">50.4</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">36</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">61.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Renewable energy consumption (% of total final energy consumption).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">89.9</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">73.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">94.9</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">27.8</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Renewable electricity output (% of total electricity output).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">CO
                                <sub>2</sub> emissions (metric tons per capita).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">0.5</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="2" style="background-color:#FFC000" valign="middle">Availability</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Electric power consumption (kWh/capita).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">69.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">96.6</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Energy imports, net (% of energy use).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">5.9</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">22.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">-</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="8" style="background-color:#00B050" valign="middle">Food</td>
                            <td align="center" colspan="1" rowspan="4" style="background-color:#00B050" valign="middle">Accessibility</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Prevalence of undernourishment (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">16.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">59.5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">16.2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Percentage of children under 5 years of age affected by wasting (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">7.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">14.6</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">14.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">21.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Percentage of children under 5 years of age who are stunted (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">35.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">49.1</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">27.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">34</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Prevalence of obesity in the adult population (18 years and older).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">4.5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">8.3</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">13.5</td>
                        </tr>
                        <tr>
                            <td align="center" colspan="1" rowspan="4" style="background-color:#00B050" valign="middle">Availability</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Average protein supply (grams/capita/day).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">65.7</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">65.3</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Cereal yield (kg/hectare).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">2394.5</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">652.4</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">828.2</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">2104.7</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Average Dietary Energy Supply Adequacy (ADESA) (%).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">111</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">-</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">79</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">111</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">Average value of food production (I$/capita).</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">35</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">23</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">39</td>
                            <td align="left" colspan="1" rowspan="1" style="background-color:#00B050" valign="top">26</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Key: WEF &#x2013; Water&#x2013;Energy-Food; IWRM &#x2013; integrated water resources management.</p>
                    <p>Source: 
                        <ext-link ext-link-type="uri" xlink:href="https://www.wefnexusindex.org">https://www.wefnexusindex.org</ext-link> (
                        <xref ref-type="bibr" rid="ref75">Simpson 
                            <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
                </table-wrap-foot>
            </table-wrap>
            <p>The water sub-index was highest in Djibouti (52.5) while the rest of the countries were below 40 with Ethiopia, Eritrea and Somalia achieving 34.5, 29.3 and 27.3 respectively (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). Djibouti&#x2019;s performance is buttressed by a higher number of people having access to basic drinking water and sanitation services, 76% and 67% respectively (
                <xref ref-type="table" rid="T1">Table 1</xref>). Ethiopia&#x2019;s water index is dwarfed by the sanitation component where more than 90% of the population lack access to at least basic sanitation services.</p>
            <p>The food sub-index was poor in the region with all the countries reaching less than 50 in this category, which was driven by the malnutrition component. Ethiopia was the highest with a food index of 48.5 while Somalia was the lowest at 24.5 (
                <xref ref-type="table" rid="T1">Table 1</xref>) with the high prevalence of under-nourishment (59.5%) contributing to the latter score. Stunting in children is prevalent in the region affecting an average of 36% of children under five years. This is critical in Eritrea where almost half of the children under five years are stunted.</p>
            <sec id="sec4">
                <title>Water security</title>
                <p>Water is central to environmental, economic and social development. Water security is defined in the context of water quantity, quality and accessibility. It is the availability of, and access to sufficient and good quality water for human use and ecosystem functioning (
                    <xref ref-type="bibr" rid="ref65">Nkiaka 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Water quantity and quality affect ecosystem functions. There is variation in water availability regionally and within countries in the Horn of Africa; for example, the Ethiopian highlands are regarded as the water tower of the Horn of Africa and the greater region through its contribution to the Nile basin (
                    <xref ref-type="bibr" rid="ref61">M&#x00fc;ller-Mahn and Gebreyes, 2019</xref>). Though, water may be adequate in quantity and quality, its accessibility is influenced by socio-economic resources. For example, water insecurity in Ethiopia and Somalia is compounded by inadequate infrastructure and institutional capacity to exploit and manage both surface and groundwater resources (
                    <xref ref-type="bibr" rid="ref44">Jemmali and Sullivan, 2014</xref>). In the Horn of Africa, water is the major contributor to the region&#x2019;s food crisis as well as its recurrent famine and social instability (
                    <xref ref-type="bibr" rid="ref55">Mohamed, 2014</xref>).</p>
                <p>Increased surface water stress due to climate change will occur in countries facing politically and environmentally fragile situations like Somalia and Eritrea (
                    <xref ref-type="bibr" rid="ref68">Olet 
                        <italic toggle="yes">et al.</italic>, 2020</xref>). In Somalia, onsite sanitation systems, open defaecation and poor hygiene practices are a threat to groundwater sources (
                    <xref ref-type="bibr" rid="ref59">Mourad, 2022</xref>). Djibouti has some of the lowest water resources in the world, with no perennial rivers, and thus most of its water sources are from groundwater aquifers which is threatened by over-exploitation leading to high salinity levels (
                    <xref ref-type="bibr" rid="ref58">Mouhoumed 
                        <italic toggle="yes">et al.</italic>, 2020</xref>) and risk of sea water intrusion in case of over-exploitation of coastal aquifers (
                    <xref ref-type="bibr" rid="ref71">Razack 
                        <italic toggle="yes">et al.</italic>, 2019</xref>).</p>
                <p>Somalia relies heavily on water from the Juba and Shabelle rivers where 90% of the flows originate from Ethiopia (
                    <xref ref-type="bibr" rid="ref9">Arcanjo, 2020</xref>). Therefore, any major water abstractions in Ethiopia jeopardize livelihoods in Somalia. 
                    <xref ref-type="bibr" rid="ref54">Mohamed (2013)</xref> argued that the planned dam projects in the Juba and Shabelle rivers will have an economic and ecological impact in Somalia through reduction of water flows in the rivers. This will cause a collapse of existing irrigation schemes and planned irrigation developments and have a negative effect on the wetlands in the Shabelle depression areas and the Juba estuary at the mouth of the river causing seawater intrusions. Climatic events such as droughts and floods also impact the basin affecting both water supplies and crop production in the southern region of Somalia where irrigation is practiced. Groundwater is also an important source of water where boreholes have been sunk to a depth of 400 m in some areas and shallow wells with some less than 20 m deep (
                    <xref ref-type="bibr" rid="ref41">Idowu and Lasisi, 2020</xref>).</p>
                <p>The solution to addressing water insecurity in the region lies in the management of shared water resources. The countries in the region share a number of surface and groundwater sources. The major shared river basins and water bodies include Nile River basin (Burundi, Congo, Egypt, Ethiopia, Kenya, Rwanda, South Sudan, Sudan, Tanzania, Uganda), Juba River Basin (Ethiopia, Kenya and Somalia), Laag Dheere (Kenya and Somalia), Shabelle River (Ethiopia and Somalia), Omo River Basin (Ethiopia and Kenya), Awash River (Djibouti and Ethiopia), Tekeze or Atbara (Eritrea, Ethiopia and Sudan), Mereb River (Eritrea, Ethiopia and Sudan), Baro-Akobo (Ethiopia, South and Sudan), Sobata River (Ethiopia and Kenya), Lake Turkana (Ethiopia and Kenya), Merti Aquifer (Kenya and Somalia), and Shabelle Aquifer between Ethiopia and Somalia (
                    <xref ref-type="bibr" rid="ref55">Mohamed, 2014</xref>). However, the countries in the region do not have regional policies on shared water resources and each state pursues unilateral legislations and frameworks (
                    <xref ref-type="bibr" rid="ref55">Mohamed, 2014</xref>). These unilateral water policies and development plans are not only unsustainable but also a source of conflict in the region. The construction of the Grand Ethiopian Renaissance Dam (GERD) is one example of individual states pursuing their national projects on a shared water course, in this case the Nile basin, without adequate regional consensus on the effect on downstream riparian countries. The Nile basin is the largest project in the region comprising ten riparian countries with Ethiopia contributing a significant proportion of water through the Blue Nile. The shared rivers and water basins in the region instead of being a source of economic and political integration have become sources of tension and conflict due to declining water availability (
                    <xref ref-type="bibr" rid="ref55">Mohamed, 2014</xref>). Co-operation among riparian states sharing transboundary river basins and aquifer systems is part of integrated water resources management (IWRM) as anchored in SDG 6.5 and therefore necessary for national and regional WEFE security (
                    <xref ref-type="bibr" rid="ref78">Stephan 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). The degree of implementation of IWRM in the region is low with Ethiopia and Somalia at 41% and 22% respectively (
                    <xref ref-type="table" rid="T1">Table 1</xref>) while there was no data for Eritrea and Djibouti.</p>
            </sec>
            <sec id="sec5">
                <title>Energy security</title>
                <p>Energy security components are availability, affordability and reliability (
                    <xref ref-type="bibr" rid="ref11">Awandu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>), which consequently affect access to energy options. It is the access to reliable and affordable energy for cooking, heating, lighting, communications and productive use (
                    <xref ref-type="bibr" rid="ref65">Nkiaka 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Access to affordable, reliable and modern energy services will transform the region&#x2019;s development agenda by achieving SDG 7. Generally, energy infrastructure in the Horn of Africa has struggled to match the region&#x2019;s growth and thus electricity grids remain unreliable rendering many countries dependent on costly fuel imports, and energy utilities are in financial stress (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>).</p>
                <p>Ethiopia suffers from acute electricity shortages due to a faster population growth than development in the energy sector and also due to over-reliance on hydro-electric power. This is affected by several factors such as trade-offs with domestic, industrial and agricultural water needs, droughts, dam siltation due to catchment degradation, and transboundary water conflicts (
                    <xref ref-type="bibr" rid="ref34">Guta and B&#x00f6;rner, 2017</xref>). There are three main sources of energy in Ethiopia: biomass, petroleum, and electricity, with supply accounting for 90%, 8.2% and 1.8% respectively in 2014 (
                    <xref ref-type="bibr" rid="ref13">Benti 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Electricity in the country is mainly supplied by hydro-power plants. Hydropower potential is 45,000 MW while geothermal sources have a potential of 1,070 MW (
                    <xref ref-type="bibr" rid="ref14">Berta and Zerga, 2015</xref>). Traditional biomass energy is not sustainable due to environmental and social costs. Women and children spend hours trekking long distances to fetch firewood while urban dwellers spend a substantial amount of income on fuel (
                    <xref ref-type="bibr" rid="ref28">Gebremeskel and Tesfaye, 2008</xref>). The country does not have a physical energy scarcity as it is endowed with sufficient potential renewable energy sources, but economic energy scarcity is the major challenge (
                    <xref ref-type="bibr" rid="ref80">Tesfaye 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Adoption of modern energy sources by rural households in Ethiopia is hindered by shortage of capital, lack of access to alternative energy sources, durability problems associated with renewable sources such as solar, and lack of awareness (
                    <xref ref-type="bibr" rid="ref83">Tofu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). The country aims to develop renewable sources of energy such as solar and wind, but its capability is limited by a lack of investment capital, an underdeveloped solar and wind supply chain, lack of a skilled workforce, unclear policy and strategies and regulatory uncertainties (
                    <xref ref-type="bibr" rid="ref29">Gebreslassie, 2021</xref>). The recent political unrest in the country, which has triggered war in the northern region of Tigray, has slowed down access to electricity with destruction of electricity infrastructure (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). The completion of the 5,150 MW GERD hydropower plant (the largest in Africa) in addition to the Koysha (Gibe IV) hydropower plant (1,500 MW) will boost Ethiopia&#x2019;s universal access to electricity (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>) and consequently achieve the SDG 7 target.</p>
                <p>Somalia is rich in renewable energy resources including solar, wind, hydropower, and vast geothermal energy but their exploitation is limited by political, financial, and institutional factors (
                    <xref ref-type="bibr" rid="ref87">Warsame 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). It is worth noting that Somalia does not have state-owned energy utility and a national grid and most of the energy services are from private entities (
                    <xref ref-type="bibr" rid="ref12">Aynte 
                        <italic toggle="yes">et al.</italic>, 2022</xref>; 
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). The government has tried to increase electricity access through provision of incentives to the private sector such as subsidies and tax exemptions (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). Most of the energy use in the country comes from generators running on imported diesel or from burning charcoal and other biomass (
                    <xref ref-type="bibr" rid="ref12">Aynte 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). Despite the long-running civil war and low development, the country has the potential to achieve sustainable development and contribute to the reduction of greenhouse gases (
                    <xref ref-type="bibr" rid="ref87">Warsame 
                        <italic toggle="yes">et al.</italic>, 2022</xref>) through implementation of policies and encouraging investments in renewable and clean energy production such as solar, wind and hydroelectric power, and reduction in biomass energy (charcoal and firewood) use (
                    <xref ref-type="bibr" rid="ref86">Warsame and Sarkodie, 2022</xref>). Somalia, through its updated nationally determined contribution, has identified the promotion of clean and fuel-efficient cooking as a pathway for reduced GHG emissions through adaptation actions such as increasing the production of non-forest fuel briquettes, including from agricultural residues and waste (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>).</p>
                <p>Eritrea initiated reforms in the energy sector in 2007, which revolved around four areas: expansion of the national grid to cover rural areas, adoption of renewable energy technologies, promotion of energy efficiency and saving techniques, and liberation of the energy market (
                    <xref ref-type="bibr" rid="ref35">Habtetsion and Tsighe, 2007</xref>). However, the country has low hydropower potential and still relies on oil and gas imports to meet its energy demand (
                    <xref ref-type="bibr" rid="ref19">Chandrasekharam 
                        <italic toggle="yes">et al.</italic>, 2018</xref>). The grid is supplied only by electricity from fossil fuels (
                    <xref ref-type="bibr" rid="ref5">Alam and Islam, 2019</xref>).</p>
                <p>Improving energy security in the region requires integration through bodies such as the Intergovernmental Authority on Development (IGAD) where its energy sector strategy for 2050 envisages an interconnected system that harnesses the abundant renewable resources within its member states (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). Already, Ethiopia has an electricity interconnection arrangement with Djibouti which has boosted the latter&#x2019;s electricity access (
                    <xref ref-type="bibr" rid="ref21">Dabar 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). The regional efforts can be complemented by Africa-wide interventions through the African Union&#x2019;s (AU) 2063 agenda which seeks expansion of renewable and clean energy sources to ensure energy security and reduction in carbon emissions (
                    <xref ref-type="bibr" rid="ref42">IEA, 2022a</xref>).</p>
                <p>Achievement of the SDG 7 in the region requires countries to expand the national grid and development of mini-grids and stand-alone (off-grid) systems (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). The Horn of Africa countries have high solar energy potential (
                    <xref ref-type="bibr" rid="ref24">EIB, 2018</xref>) which can be used to power rural populations not covered by the national grid systems.</p>
            </sec>
            <sec id="sec6">
                <title>Food security</title>
                <p>Countries in the Horn of Africa are facing serious food security challenges. In this context, food security is parameterized in terms of availability, accessibility and quality (
                    <xref ref-type="bibr" rid="ref11">Awandu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). Food security is attained when people have physical, social and economic access to enough, safe and nutritious food which meets their dietary needs and food preferences for an active and healthy life (
                    <xref ref-type="bibr" rid="ref65">Nkiaka 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). 
                    <xref ref-type="bibr" rid="ref20">Clapp 
                        <italic toggle="yes">et al.</italic> (2021)</xref> made a case for dimensionality of food security to include six components i.e. availability, access, utilization, stability, sustainability and agency with the last two being new concepts. Agency in this context refers to the sovereignty of individuals and groups in the food sector as a way of addressing widening inequities and power imbalances of actors within food systems (
                    <xref ref-type="bibr" rid="ref20">Clapp 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Sustainability in this context refers to food practices which adhere to the three elements of sustainable development i.e. social, economic and environmental. We are of the view that the expanded dimensions of food security will help its advancement in this era of climate change and other externalities in the food and agricultural sector.</p>
                <p>Ecological systems are important in providing the material sources for food production and dietary diversity and thus relevant in ensuring nutritional quality and quantity (
                    <xref ref-type="bibr" rid="ref20">Clapp 
                        <italic toggle="yes">et al.</italic>, 2021</xref>) and therefore should be given special reference for holistic assessment of food sustainability. Therefore, sustainable agricultural practices need to be adopted to address food security challenges.</p>
                <p>The Horn of Africa is considered one of the most food insecure regions in the world, which is exacerbated by persistent conflicts, climate shocks and economic instability (
                    <xref ref-type="bibr" rid="ref1">Abebe, 2021</xref>). Eritrea is a low-income country with at least 70 percent of the population depending on traditional subsistence agriculture (
                    <xref ref-type="bibr" rid="ref32">Ghebru 
                        <italic toggle="yes">et al.</italic>, 2013</xref>), which is prone to climate change induced shocks. The country is highly food insecure and relies on imports which account for about 46% of food demand (
                    <xref ref-type="bibr" rid="ref19">Chandrasekharam 
                        <italic toggle="yes">et al.</italic>, 2018</xref>).</p>
                <p>Food accessibility in Somalia is affected by poor transport infrastructure and distribution networks which limits price arbitrage between regions (
                    <xref ref-type="bibr" rid="ref39">Hussein 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). The poor transport infrastructure and food distribution channels in Somalia can be attributed to a long period of armed conflict. Somalia&#x2019;s food insecurity is compounded by climate variables such as droughts and floods, which have increased in frequency and intensity (
                    <xref ref-type="bibr" rid="ref88">WFP, 2021</xref>). The unsustainable consumption pattern of traditional biomass (charcoal and firewood) has affected forest resources in the country, leading to desertification and loss of grazing and arable lands (
                    <xref ref-type="bibr" rid="ref87">Warsame 
                        <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
                <p>Ethiopia suffers from chronic and acute food insecurity partly due to climate variability and susceptibility to drought and poorly developed water resource infrastructure (
                    <xref ref-type="bibr" rid="ref30">Gebreyes 
                        <italic toggle="yes">et al.</italic>, 2020</xref>). Food security in Ethiopia is vulnerable to climate change and variability due to the fact that 80% of the population rely on rainfed agriculture coupled with low income which decreases their resilience (
                    <xref ref-type="bibr" rid="ref8">Alemu and Mengistu, 2019</xref>). Use of firewood and charcoal as sources of energy has contributed to deforestation and consequently affected land productivity and ultimately contributed to food insecurity in Ethiopia (
                    <xref ref-type="bibr" rid="ref83">Tofu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). In the Tana basin, it was established that the continued use of biomass for energy purposes include deforestation and a depletion of soil organic matter and nutrients from agricultural soils and thus this is unsustainable in the long term (
                    <xref ref-type="bibr" rid="ref49">Karlberg 
                        <italic toggle="yes">et al.</italic>, 2015</xref>).</p>
            </sec>
        </sec>
        <sec id="sec7">
            <title>Impact of climate change on the WEF nexus</title>
            <sec id="sec8">
                <title>Water and energy</title>
                <p>Human activities have played a pivotal role in enhancing the extreme effects of climate change impact on day-to-day life. Human beings are the perpetrators of the current and projected global warming of earth and are also the victims of the aftermath of the effects of extreme climate change (
                    <xref ref-type="bibr" rid="ref67">Ofori 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). The global mean temperature ascertained in 2017 depicted an increase of 1&#x00b0;C higher than the pre-industrial values with a projected increase of 0.2&#x00b0;C/decade (
                    <xref ref-type="bibr" rid="ref16">Bruhwiler 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). The temperature increase and warming of the continent of Africa is projected to be a higher value than the global average with anticipated temperature of 3&#x2013;4&#x00b0;C over the 22
                    <sup>nd</sup> century (
                    <xref ref-type="bibr" rid="ref82">Thompson 
                        <italic toggle="yes">et al.</italic>, 2010</xref>; 
                    <xref ref-type="bibr" rid="ref94">Zewdie, 2014</xref>). As a result, various regions within the African continent already experience unique extreme changes in precipitation patterns as discussed in 
                    <xref ref-type="bibr" rid="ref67">Ofori 
                        <italic toggle="yes">et al.</italic> (2021)</xref>.</p>
                <p>Climate change, just like other anthropogenic activities such as changes in land use/cover, diversions, withdrawal of water from rivers and lakes etc., impacts freshwater ecosystems and contributes to their degradation. Climate change has led to a shift in precipitation patterns in the Horn of Africa thereby resulting in decreased precipitation and increased evaporation. For example, projections indicate that the Lake Tana Basin in Ethiopia will decrease in surface water discharge and seasonal run-off volumes (
                    <xref ref-type="bibr" rid="ref63">Niang 
                        <italic toggle="yes">et al.</italic>, 2014</xref>). The climate variability and trends in Ethiopia for instance show no consistent changes in the frequency or intensity of extreme events (
                    <xref ref-type="bibr" rid="ref81">Tessema and Lamb, 2003</xref>; 
                    <xref ref-type="bibr" rid="ref72">Seleshi and Camberlin, 2006</xref>), with extreme tendency towards lower rainfall during crop growing seasons. Historical flood disruption is an unheard of hazard in Ethiopia but recent years have recorded significant socio-economic disruption in Ethiopia due to flooding in 1997 and 2002 (
                    <xref ref-type="bibr" rid="ref45">Jury, 2002</xref>). Similar trends of extreme droughts followed by extreme flooding that have led to deaths and destruction in the northeast of Kenya and parts of Somalia have been experienced frequently.</p>
                <p>The Horn of Africa region continues to experience high water scarcity risks due to reduced streamflow and intensified water abstraction (
                    <xref ref-type="bibr" rid="ref38">Hirpa 
                        <italic toggle="yes">et al.</italic>, 2019</xref>). Water related conflicts are rampant in the region. The situation has been made worse by the impact of climate change which has exposed the vulnerability of the region through successive droughts, water shortages, floods, and desertification (
                    <xref ref-type="bibr" rid="ref18">Burgess, 2008</xref>).</p>
                <p>Hydropower production is heavily relied on by Ethiopia, Eritrea, Somalia and Djibouti. The man-made energy generation dams are susceptible to extreme climate change resultants such as floods, drought and cyclones (
                    <xref ref-type="bibr" rid="ref40">ICPAC, 2007</xref>). Climate change influences the spatial and temporal rainfall distribution and intensity, which is an essential determinant of catchment hydrology. The increase in temperature coupled with decrease in rainfall are two hydrological processes that have profound influence on hydropower generation potential (
                    <xref ref-type="bibr" rid="ref17">Bunyasi, 2012</xref>). Reduced river flows significantly affect hydropower generation due to inadequate reservoir levels. Due to extreme low rainfall in the vast Horn of Africa ASAL regions, the low flows have constantly resulted in power outages thus negatively affecting energy security in the region and encouraging overdependence on fossil fuels for running generators to provide power (
                    <xref ref-type="bibr" rid="ref11">Awandu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
                <p>Mitigating the effects of climate change in the region requires adoption of mix of renewable energy options. For example, a study by 
                    <xref ref-type="bibr" rid="ref69">Oyewo 
                        <italic toggle="yes">et al.</italic> (2021)</xref> found that it is least-cost to supply about 66% of electricity demand with solar PV, 14% with wind and 10% with hydropower in Ethiopia as a best policy scenario in 2050. However, 
                    <xref ref-type="bibr" rid="ref15">Boke 
                        <italic toggle="yes">et al.</italic> (2022)</xref>, noted that the stochastic nature of solar and wind energy sources threatens the stability of the electricity grid. Use of geothermal energy sources offers baseload power generation making it a great option to complement the intermittent power supply from solar and wind with Ethiopia planning to expand its geothermal power capacity to 10,000 MW by 2030 (
                    <xref ref-type="bibr" rid="ref43">IEA, 2022b</xref>). Ethiopia has also developed energy policy and biofuels strategy with the aim of supporting energy diversification and development of renewable energy options and biofuel development as an energy security and climate change mitigation measure (
                    <xref ref-type="bibr" rid="ref57">Motuma, 2017</xref>). Eritrea has huge potential for geothermal energy. Adoption of renewable energy options in Somalia is hindered by weak and fragmented independent electricity service providers facing financial challenges and limited support from federal and regional state governments (
                    <xref ref-type="bibr" rid="ref12">Aynte 
                        <italic toggle="yes">et al</italic>., 2022</xref>).</p>
            </sec>
            <sec id="sec9">
                <title>Water and agriculture</title>
                <p>Climate change events such as drought and floods have a negative impact on food security in Africa, particularly in the horn of Africa. Drought is a serious environmental problem in the Horn of Africa countries of Ethiopia, Somalia, Eritrea and Djibouti (
                    <xref ref-type="bibr" rid="ref4">AghaKouchak, 2015</xref>). Agriculture is more affected than any other sector because it is susceptible to climate variability and change such as extreme weather events of droughts and floods, irregular rainfall patterns and increase in temperature. Drought decreases water availability for irrigation thus leading to a decrease in yield, which enhances food insecurity and also increases irrigation water demand. Water is required at various stages of food production and in the Horn of Africa rain-fed agriculture is heavily impacted by climate change.</p>
                <p>Low-income countries such as those in the Horn of Africa largely depend on the agriculture sector as it contributes a significant proportion of their GDP. The high dependency on the agriculture sector and lack of climate change adaptation policies make developing countries more vulnerable (
                    <xref ref-type="bibr" rid="ref31">Ghebrezgabher and Yang, 2018</xref>). Therefore, there is need for the development of policies and institutions for climate change adaptation and resilience building at regional or national levels.</p>
                <p>Somalia faced drought in 2017 leading to the monetary loss of USD 71 million for the maize, sorghum, cowpeas and sesame industries; these are the four most important crops for the country (
                    <xref ref-type="bibr" rid="ref91">World Bank and FAO, 2018</xref>). On the other hand, floods that occurred in 2019 claimed many lives and led to 412,000 individuals being displaced and substantial damage to crops (
                    <xref ref-type="bibr" rid="ref27">FAO, 2020</xref>). A study on the climate change and crop production nexus in Somalia revealed that climate change is a significant determinant of Somalis&#x2019; crop production specifically rain fed crops as Somalia&#x2019;s agricultural land totals about 3 million hectares (
                    <xref ref-type="bibr" rid="ref91">World Bank and FAO, 2018</xref>).</p>
                <p>El Nino led to a drought in the Horn of Africa in 2015 where Ethiopia faced severe hunger with 15 million people needing immediate food aid (
                    <xref ref-type="bibr" rid="ref84">UNICEF, 2015</xref>). In 50 years, it is predicted that Ethiopia will experience erratic weather patterns, higher intensity rainfall and temperature rise (
                    <xref ref-type="bibr" rid="ref53">Mcsweeney 
                        <italic toggle="yes">et al.</italic>, 2010</xref>). This climate change could result in prolonged periods of drought and floods, which might lead to crop yield reduction and resource use conflicts (
                    <xref ref-type="bibr" rid="ref74">Simane 
                        <italic toggle="yes">et al.</italic>, 2012</xref>). However, using agroecology analysis with the Ricardian model, 
                    <xref ref-type="bibr" rid="ref77">Solomon 
                        <italic toggle="yes">et al.</italic> (2021)</xref> established that climate change in Ethiopia will have marginal effects on crop yields as a result of changes in temperature and rainfall</p>
                <p>Climate change in Eritrea is associated with environmental problems such as desertification, deforestation, soil erosion and overgrazing (
                    <xref ref-type="bibr" rid="ref66">Nyssen 
                        <italic toggle="yes">et al.</italic>, 2004</xref>). It has been established that climate change and drought are serious long term environmental problems due to the long-term trend in annual precipitation decrease and temperature increase (
                    <xref ref-type="bibr" rid="ref31">Ghebrezgabher and Yang, 2018</xref>). Global warming is a great threat in Eritrea affecting crop production and increasing crop water requirements (
                    <xref ref-type="bibr" rid="ref6">Alam, 2017</xref>).</p>
                <p>Djibouti has limited arable land (0.1% by area), rainfall and groundwater reserves (
                    <xref ref-type="bibr" rid="ref70">Ozer and Mahamoud, 2013</xref>). Vulnerability to natural hazards is enhanced by poor water resources management and by environmental degradation and/or contamination (
                    <xref ref-type="bibr" rid="ref90">Wilby 
                        <italic toggle="yes">et al.</italic>, 2010</xref>). In the past decades, Djibouti has experienced increased occurrence of climate change induced shocks especially droughts and floods which have decimated the country&#x2019;s economic pillars of food security, water supply, public health systems and environment (
                    <xref ref-type="bibr" rid="ref93">Yamin 
                        <italic toggle="yes">et al.</italic>, 2005</xref>). 
                    <xref ref-type="bibr" rid="ref70">Ozer and Mahamoud (2013)</xref> conducted a study which analyzed changes in extreme precipitation between 1980 and 2011 and found a strong decline in total precipitation &#x2212;17.4% per decade.</p>
                <p>The increasing threat of climate change coupled with urbanization, population and industrialization pressures require interventions aimed at improving water use in agriculture by improving crop water productivity in order to ensure sustainability of resources. Some of the techniques for improving crop water productivity include efficient irrigation systems and agronomic practices such as deficit irrigation and soil water conservation (
                    <xref ref-type="bibr" rid="ref47">Kanda 
                        <italic toggle="yes">et al.</italic>, 2021</xref>). Despite the importance of efficient irrigation systems and prudent agricultural water management, most countries in the Horn of Africa still use traditional methods of irrigation such as furrow and spate irrigation systems. For example, irrigation development in Ethiopia has failed to enhance food security in the country (
                    <xref ref-type="bibr" rid="ref50">Kassa and Andualem, 2020</xref>) due to a myriad of challenges such as low technology adoption, lack of technical support given to smallholder farmers, lack of awareness of irrigation water management practices such as irrigation scheduling techniques, water saving irrigation technologies, operation and maintenance of irrigation facilities (
                    <xref ref-type="bibr" rid="ref36">Haile, 2015</xref>).</p>
                <p>The four pathways identified by the African Union (AU) for improving agricultural production is one of the holistic approaches for addressing water and food nexus challenges. These pathways are (1) improved water control and watershed management in rain-fed farming, (2) farmer-led irrigation development (FLID), (3) irrigation scheme development and modernization, and (4) unconventional water use for irrigation (
                    <xref ref-type="bibr" rid="ref10">AU, 2020</xref>). These pathways are necessary for the Horn of Africa where climate change is a threat to water resources and consequently food production. The unconventional use of water in agriculture (pathway 4) requires consideration of food safety and improvement in sewerage and wastewater treatment infrastructure. This may be a challenge in the Horn of Africa where sanitation systems are poorly developed. According to 
                    <xref ref-type="bibr" rid="ref7">Alemngus 
                        <italic toggle="yes">et al.</italic> (2017)</xref>, wastewater is used for irrigation in Asmara, Eritrea though it could not qualify as wastewater re-use since there is no wastewater treatment facility. Use of untreated wastewater for irrigation presents food safety risks which can cause harm to human health.</p>
            </sec>
            <sec id="sec10">
                <title>Energy and food</title>
                <p>Food production accounts for 30% of energy use in the world (
                    <xref ref-type="bibr" rid="ref26">FAO, 2011</xref>). Energy inputs are required throughout the food production chain; from farm, storage, processing, handling, distribution and preparation for consumption (
                    <xref ref-type="bibr" rid="ref11">Awandu 
                        <italic toggle="yes">et al.</italic>, 2022</xref>). Poor access to energy sources is one of the main causes of post-harvest losses in the agricultural sector in Africa and thus a big contributor to chronic food insecurity and malnutrition (
                    <xref ref-type="bibr" rid="ref52">Lynd 
                        <italic toggle="yes">et al.</italic>, 2015</xref>).</p>
                <p>Biomass energy is a classic example of a direct link between agriculture (food) and energy production (
                    <xref ref-type="bibr" rid="ref79">Tashtoush 
                        <italic toggle="yes">et al.</italic>, 2019</xref>). Therefore, reliance on biomass energy by households in Africa and specifically in the Horn of Africa exposes them to the risks of climate variability and change. Also, feedstocks used for biofuel production are mainly rainfed with few under irrigation. Therefore, climate change impacts on energy production from agricultural biomass cannot be ignored.</p>
                <p>Bioenergy production requires land, and is thus inextricably linked with social development, agriculture, and environmental quality and if these links are not managed properly it can lead to undesirable consequences (
                    <xref ref-type="bibr" rid="ref52">Lynd 
                        <italic toggle="yes">et al.</italic>, 2015</xref>).</p>
                <p>Production of biofuel from sugarcane mollases, 
                    <italic toggle="yes">Jatropha</italic> and castor beans in Ethiopia has improved social security by creating employment but increased the risk of food insecurity due to competition for land resources (
                    <xref ref-type="bibr" rid="ref28">Gebremeskel and Tesfaye, 2008</xref>). Land grabbing for biofuel crop production has diminished the land for food crops. For example, Ethiopia has allocated 700,000 ha and 23 million ha to multinational companies for cultivation of sugarcane and 
                    <italic toggle="yes">Jatropha</italic> for biofuel production respectively (
                    <xref ref-type="bibr" rid="ref22">Dobaa 
                        <italic toggle="yes">et al.</italic>, 2014</xref>). The use of animal dung as bioenergy presents a direct competition from agriculture where it is used as manure and thus contributes to low agricultural productivity.</p>
                <p>The pressure to feed an increasing population requires increasing food production from existing agricultural land or expanding the area under crop production. Since most areas in the Horn of Africa are ether arid or semi-arid, rainfed agriculture is vulnerable to climate change and variability and thus irrigation is necessary. Irrigation requires energy for pumping and distribution of water and thus expanding irrigation areas increases energy demand. For example, in Ethiopia electricity demand from large-scale irrigation schemes is increasing and is projected to reach about 13,000 GWh in 2030 (
                    <xref ref-type="bibr" rid="ref92">Yalew, 2022</xref>). As discussed in the previous section, hydropower is vulnerable to climate variability and change and consequently irrigated agriculture is affected.</p>
                <p>Adoption of climate-smart energy use and management practices can help in climate change adaptation and mitigation as described by 
                    <xref ref-type="bibr" rid="ref33">Girmay and Gebreegziabher (2019)</xref> in the context of Ethiopia (
                    <xref ref-type="table" rid="T2">Table 2</xref>). These practices can apply to other Horn of Africa countries.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Climate-smart energy practices in Ethiopia.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Climate-smart energy use</th>
                                <th align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Climate change adaptation and mitigation benefits</th>
                                <th align="left" colspan="1" rowspan="1" style="background-color:#FFC000" valign="top">Challenges</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#B8CCE4" valign="top">Biogas technology</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#B8CCE4" valign="top">- Mitigating global-warming and associated carbon credit earnings from a family-size biogas plant
                                    <break/>- The aggregate GHG mitigation potential (GMP) of biogas plants at a region or country level
                                    <break/>- Eliminates nutrient losses when slurry effluent is used for soil fertility improvement and thus contribute to food security and poverty alleviation</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#B8CCE4" valign="top">- Lack of policy framework
                                    <break/>- Inadequate participation and thus lack of sense of ownership
                                    <break/>- Lack of awareness
                                    <break/>- Lack of technical support services</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#9BBB59" valign="top">Agro-forestry</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#9BBB59" valign="top">- Farm productivity (food security and poverty reduction) through intercropping food crops with nitrogen fixing trees
                                    <break/>- Commercial agro-forestry improves resilience through increased household income
                                    <break/>- Enhancing above- and below-ground carbon sequestration in an ecosystem and conserving natural forests</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#9BBB59" valign="top">- Land tenure and security</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#948A54" valign="top">Improved (fuel efficient) biomass cook stoves</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#948A54" valign="top">- Decrease in deforestation as a result of reduced fuelwood consumption;
                                    <break/>- Decrease in smoke and indoor air pollution, and consequently, reduction in respiratory diseases, infection, and death
                                    <break/>- Improved quality of life for rural people.</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#948A54" valign="top">- Lack of awareness and access</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FABF8F" valign="top">Transitioning to modern energy sources (solar, wind, bioenergy, geothermal)</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FABF8F" valign="top">- Clean energy sources</td>
                                <td align="left" colspan="1" rowspan="1" style="background-color:#FABF8F" valign="top">- Affordability at household level
                                    <break/>- Lack of technical capacity</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Source: Inferred from 
                            <xref ref-type="bibr" rid="ref33">Girmay and Gebreegziabher (2019).</xref>
                        </p>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec11">
            <title>Modelling the WEFE nexus</title>
            <p>Modelling the WEF nexus requires integration of models/tools in the energy, water and food spheres. 
                <xref ref-type="bibr" rid="ref46">Kaddoura and El Khatib (2017)</xref> reviewed tools developed to model the WEF nexus. Some of these tools included Climate, Land-use, Energy, and Water (CLEW), the Water, Energy, Food Tool 2.0 and MARKAL/TIMES (MARKet Allocation). These tools were found to be useful in modelling the synergies in the WEF nexus but the problem was intensive data requirements. Therefore, these models may have limited applications in countries where data are limited.</p>
            <p>Water resource (hydrological) models which focus on integrated water resource management are important as water affects both energy and food production. Some of the common hydrological integrated tools include SWAT (Soil and Water Assessment Tool) and WEAP (Water Evaluation and Planning system) models. The water and food sectors can be modelled using water allocation tools such as WEAP while the energy sector can be through the LEAP (Long-Range Energy Alternatives Planning System) model (
                <xref ref-type="bibr" rid="ref49">Karlberg 
                    <italic toggle="yes">et al.</italic>, 2015</xref>). The advantage of WEAP is its applicability on many scales: municipal and agricultural systems, single catchments or complex transboundary river systems (
                <xref ref-type="bibr" rid="ref23">Droogers 
                    <italic toggle="yes">et al.</italic>, 2012</xref>). WEAP can also extend to model energy, biomass and climate (
                <xref ref-type="bibr" rid="ref73">Shannak 
                    <italic toggle="yes">et al.</italic>, 2018</xref>). Agricultural water management models such as the FAO&#x2019;s AquaCrop helps in improving crop water productivity under rainfed or irrigation conditions thus linking the idea of more yields (food for human and animal use) using less water. However, some of these water resources models do not include the energy component.</p>
            <p>A systems dynamic modelling (SDM) approach was applied in understanding the effects of the GERD dam and its implications on the WEF nexus of riparian states. This SDM approach was appropriate because it addresses the interdependent relationships among the WEFE nexus components and the spatio-temporal socio-economic dynamics. This is due to its ability to provide both a qualitative and quantitative modelling framework without the need for additional software modules (
                <xref ref-type="bibr" rid="ref25">Elsayed 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). The study established that GERD will impact the water, energy and food sectors in the countries considered and downstream Egypt will have reduced hydropower generation, water flows and food production by an average of 6%, 23% and 10% respectively. This will depend on the filling rates with less reductions during operation while boosting hydropower generation of Ethiopia by 360% (
                <xref ref-type="bibr" rid="ref25">Elsayed 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). Thus, GERD can be a source of co-operation or conflicts among the countries affected depending on how the issue is handled.</p>
            <p>It is difficult to find a model which meets the integrated nature of the WEF nexus and achieves a balance between simplicity, in data requirements and model structure, and accuracy. 
                <xref ref-type="bibr" rid="ref73">Shannak 
                    <italic toggle="yes">et al.</italic> (2018)</xref> identified four key challenges in modelling the WEF nexus: a) complex interactions and dynamics between WEF resources; b) high temporal and spatial variations of WEF parameters necessitating detailed data; c) difficulty in incorporation of spatial and temporal WEF resource variation in planning; d) factoring external forcing variables into the modelling and planning approaches. The existing WEF nexus models such as CLEW have limitations in terms of spatial representation and inadequate inclusion of WEF sub-system interactions (
                <xref ref-type="bibr" rid="ref76">Soleimanian 
                    <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
        </sec>
        <sec id="sec12" sec-type="conclusions">
            <title>Conclusions</title>
            <p>This review aimed to understand the WEFE nexus in the Horn of African countries of Ethiopia, Eritrea, Somalia and Djibouti and the status of achieving sustainable development. The review established that the region is highly WEF insecure with an index of 42.7 and performance in the food and water sub-indices poorest compared to the energy sub-index. Djibouti is the only country with a WEF index above 50. Therefore, attaining SDG 2, 6 and 7 is a challenge in the region.</p>
            <p>The WEF nexus is highly impacted by climate change through droughts which has reduced water availability for both water and sanitation, energy production and agricultural use. Lack of a regional framework for managing transboundary water resources is a source of tension and conflict in the region. Other challenges facing the WEF nexus include political, legal and institutional factors and persistent armed conflicts which undermine the efforts to adapt to climate change.</p>
            <p>There is need for improved water governance at country and regional level as well as adoption of efficient irrigation systems, rainwater harvesting, improvements in water supply and energy infrastructure, climate-smart energy technologies, and climate-smart agricultural practices.</p>
            <p>Modelling the WEF nexus requires use of models which not only simulate the individual components but also their interactions in the system. The model should strike a balance between simplicity and accuracy while considering the spatial and temporal dynamics of the WEF resources.</p>
        </sec>
    </body>
    <back>
        <sec id="sec15" sec-type="data-availability">
            <title>Data availability</title>
            <p>No data are associated with this article.</p>
        </sec>
        <ref-list>
            <title>References</title>
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    <sub-article article-type="reviewer-report" id="report269823">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.142765.r269823</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Sivasubramanian</surname>
                        <given-names>Raghavendran</given-names>
                    </name>
                    <xref ref-type="aff" rid="r269823a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2913-6422</uri>
                </contrib>
                <aff id="r269823a1">
                    <label>1</label>Civil and Environmental Engineering, The University of Iowa, Iowa City, Iowa, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>2</day>
                <month>5</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Sivasubramanian R</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report 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>
            <related-article ext-link-type="doi" id="relatedArticleReport269823" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.130038.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article is a review paper on the status of the water-energy-food nexus in four countries: Ethiopia, Eritrea, Somalia, and Djibouti. Comparisons were made on the accessibility and availability of the services, impact of the climate change on the interrelationships of these parameters and how it affects the regions specifically, and the available tools used to predict the dynamic modeling of the nexus. Index rates are compared, and the reasons for challenges in sustainable development are also explored for the 4 countries.</p>
            <p> Verdict: Accepted- No modifications needed!</p>
            <p> This is a brilliant paper! It is very well-reviewed and well-written!</p>
            <p> Only suggestion: It will be nicer if there is also a WEFE nexus diagram/ flowchart that encompasses the food, energy, and water security programs pointing out commonalities among the Horn of African regions.</p>
            <p>Is the review written in accessible language?</p>
            <p>Yes</p>
            <p>Are all factual statements correct and adequately supported by citations?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn appropriate in the context of the current research literature?</p>
            <p>Yes</p>
            <p>Is the topic of the review discussed comprehensively in the context of the current literature?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Wastewater treatment, Aerobic sludge, Linear regression statistics, Algae biodiesel, Advanced reduction process, Environmental Sustainability</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
