<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OALibJ</journal-id><journal-title-group><journal-title>Open Access Library Journal</journal-title></journal-title-group><issn pub-type="epub">2333-9705</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/oalib.1110604</article-id><article-id pub-id-type="publisher-id">OALibJ-131872</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject><subject> Business&amp;Economics</subject><subject> Chemistry&amp;Materials Science</subject><subject> Computer Science&amp;Communications</subject><subject> Earth&amp;Environmental Sciences</subject><subject> Engineering</subject><subject> Medicine&amp;Healthcare</subject><subject> Physics&amp;Mathematics</subject><subject> Social Sciences&amp;Humanities</subject></subj-group></article-categories><title-group><article-title>
 
 
  Drought Occurrence and Community Perceptions in the Upper Ewaso Ng’iro Basin, Kenya
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bancy</surname><given-names>Mati</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Amos</surname><given-names>Karithi</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>June</surname><given-names>Kimaiyo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Community Development, Meru, Kenya</addr-line></aff><aff id="aff1"><addr-line>Soil, Water and Environmental Engineering Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya</addr-line></aff><pub-date pub-type="epub"><day>07</day><month>03</month><year>2024</year></pub-date><volume>11</volume><issue>03</issue><fpage>1</fpage><lpage>16</lpage><history><date date-type="received"><day>9,</day>	<month>August</month>	<year>2023</year></date><date date-type="rev-recd"><day>17,</day>	<month>March</month>	<year>2024</year>	</date><date date-type="accepted"><day>20,</day>	<month>March</month>	<year>2024</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  This study assessed drought occurrence and community views in the Upper Ewaso Ng’iro basin (UENB) of Kenya. Baseline data were obtained from a review of published materials and analysis of historical weather data (monthly rainfall, maximum and minimum temperatures) for a 40-year period from 1981 to 2020. Then questionnaire surveys were conducted through key informant interviews administered to government staff and other stakeholders, as well as focus group discussions with communities. A total of 187 respondents were interviewed of which 150 were community members and 37 were policy makers and other stakeholders. Typologies of respondents included small-scale farmers, pastoralists, conservancies, water user associations, government staff and non-governmental organizations (NGOs). It was found that drought is a disaster of growing concern in the Upper Ewaso Ng’iro basin. In the period from 1981-2020, drought was recorded in 58% of the 40-year span. The UENB has also been experiencing increasingly hotter weather, thus aridification. Community perceptions of drought closely mirror available records on drought occurrence. About 56% of respondents relate drought to lack or shortage of rainfall, late arrival or early cessation of the rainy season and prolonged periods of dry weather. Meanwhile, 14% considered water scarcity and associated drying of water sources as the main evidence of drought. Although there are policy instruments for drought preparedness and early warning, information does not reach land users in good time. Local communities hold some indigenous knowledge of drought prediction and preparedness, but its use has been dwindling. Research gaps exist in capturing indigenous knowledge in weather forecasting, its use, and linkages with scientific methods.
 
</p></abstract><kwd-group><kwd>Weather Data</kwd><kwd> Farmers</kwd><kwd> Pastoralists</kwd><kwd> Water</kwd><kwd> Conflicts</kwd><kwd> Indigenous Knowledge</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Drought occurs in many forms and is understood differently by various cadres of people, based on their circumstances and livelihoods. The descriptions of drought range from dictionary definitions to those by national and international organizations. One of the more widely accepted definitions [<xref ref-type="bibr" rid="scirp.131872-ref1">1</xref>] , describes drought as “an interval of time, generally of the order of months or years in duration, during which the actual moisture supply at a given place consistently falls short of the climatically expected or climatically appropriate moisture supply.” From a hydrological perspective, drought implies deficiencies in water availability, such as reduced precipitation, stream flow, soil moisture, and groundwater as a result of natural weather phenomena [<xref ref-type="bibr" rid="scirp.131872-ref2">2</xref>] . Drought was also defined [<xref ref-type="bibr" rid="scirp.131872-ref3">3</xref>] as “the naturally occurring phenomenon that exists when precipitation has been significantly below normal recorded levels, causing serious hydrological imbalances that adversely affect land resource production systems”. A common feature of all droughts is that they are caused by a deficiency in precipitation and begin as meteorological droughts [<xref ref-type="bibr" rid="scirp.131872-ref4">4</xref>] . Droughts are also described in terms of their frequency, duration severity and spatial extent.</p><p>Meanwhile, Kenyan policy documents [<xref ref-type="bibr" rid="scirp.131872-ref5">5</xref>] identify drought as “the period of deficiency of moisture in the soil such that there is inadequate water required for plants, animals and human beings”. The importance of drought becomes visible in its impacts, which can be regional or local. It has been observed [<xref ref-type="bibr" rid="scirp.131872-ref6">6</xref>] that different drought types are effective at various stages of the same natural recurring process. The longer and the more spatially extensive this deficiency of rainfall is, the more severe the adverse impacts of the drought will be.</p><p>Drought is a natural part of the climate, although it may be erroneously considered a rare, disruptive, and random event. But in reality, drought is really a “normal”, recurrent feature of climate for a given area, albeit random. It occurs in virtually all climatic zones [<xref ref-type="bibr" rid="scirp.131872-ref7">7</xref>] , although its characteristics vary significantly from one region to another. Four typologies of drought are identified [<xref ref-type="bibr" rid="scirp.131872-ref8">8</xref>] , namely; 1) Meteorological drought-when precipitation deficiency persists over a pre-determined period of time, 2) Agricultural drought-recognized by reduction or lack of normal precipitation over a specified period of time causing severe deficits in soil moisture unable to support crop and forage growth, 3) Hydrological drought-seen from deficiencies in surface and subsurface water supplies relative to average conditions at various points in time through the seasons, and 4) Socio-economic drought-when the demand for an economic good exceeds supply as a result of a weather-related shortfall in rainfall or water supply. Thus, meteorological droughts depict primarily the causes, while agricultural and hydrological droughts are indicators of the secondary impacts of meteorological droughts. The economic, social and environmental droughts, although not droughts in the strict sense, are actually consequences of the secondary drought impacts.</p><p>A number of studies have been conducted at regional, national and local levels on the occurrence and impacts of drought in Kenya [<xref ref-type="bibr" rid="scirp.131872-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref11">11</xref>] . Other studies have used sectoral data, to model the effects of climate change as evidence of drought on agricultural and other enterprises [<xref ref-type="bibr" rid="scirp.131872-ref12">12</xref>] . However, few studies have addressed drought occurrence and perceptions of communities at river basin scales. This is a knowledge gap for which this study sought to fill. Focusing on the Upper Ewaso Ng’iro Basin (UENB) of Kenya, this study sought to determine drought occurrence as well as local people’s perceptions and stakeholder views on drought risks.</p></sec><sec id="s2"><title>2. The Study Area in Context</title><p>Location and Extent: This study was carried out in the Upper Ewaso Ng’iro Basin (UENB) of Kenya. The study area constitutes the upstream catchments of the Ewaso Ng’iro river basin, the latter being the largest drainage basin in Kenya [<xref ref-type="bibr" rid="scirp.131872-ref13">13</xref>] . The UENB lies between latitudes 0˚15' south and 1˚00' north, and longitudes 36˚30' east and 37˚45' east (<xref ref-type="fig" rid="fig1">Figure 1</xref>). It covers an area of 15,200 km<sup>2</sup> varying in altitude from 5200 m a.s.l. at the top of Mt. Kenya to 862 m at Archers Post, the lowest control point. At higher altitudes on both mountains, the topography comprises rolling slopes with deeply incised valleys, but most of the basin is occupied by the extensive gently undulating to flatter Laikipia Plateau, at an elevation averaging 1500 m. The river Ewaso Ng’iro originates from the Aberdares Range but most of its flows (50%) come from tributaries that drain from Mt. Kenya [<xref ref-type="bibr" rid="scirp.131872-ref14">14</xref>] . The basin straddles six administrative Counties, namely; Nyeri, Nyandarua, Laikipia, Meru, Isiolo and Samburu [<xref ref-type="bibr" rid="scirp.131872-ref15">15</xref>] . Laikipia County occupies the largest proportion taking up about 50 percent of the area. The biggest town is Nanyuki, situated within Laikipia, some 200 km north of Nairobi.</p><p>Climate: Due to its location on the lee slopes of Mt. Kenya, Aberdares Range and the Nyambene Hills (<xref ref-type="fig" rid="fig1">Figure 1</xref>), the UENB is basically a dry zone. Annual rainfall averages 700 mm but varies from a high of 1500 mm∙yr<sup>−1</sup> on the upper mountain slopes to about 250 mm in the arid lowlands around Archer’s Post. Depending on the location within the basin, the seasonal rainfall pattern is bimodal, unimodal, or trimodal. Most of the basin has a bimodal rainfall distribution, receiving long rains in March-April-May (MAM) and short rains in October-November-December (OND). In the drier areas in the north, rainfall is episodic and interspersed by lengthy dry spells. Moreover, rainfall intensities are usually high, averaging about 20 to 40 mm∙hr<sup>−1</sup> and higher intensity storms of up to 96 mm hr<sup>−1</sup> have been recorded [<xref ref-type="bibr" rid="scirp.131872-ref16">16</xref>] resulting in excessive surface runoff. The mean annual temperatures in the basin range from below 10˚C at the top of Mt. Kenya to over 24˚C in the Laikipia Plateau and up to 30˚C at Archer’s Post. Potential evapotranspiration ranges from less than 1000 mm at higher altitudes to</p><p>over 2500 mm in the lowlands [<xref ref-type="bibr" rid="scirp.131872-ref15">15</xref>] . Generally, low seasonal rainfall and high evaporation rates render rainfed agriculture unsuitable for most parts of the basin [<xref ref-type="bibr" rid="scirp.131872-ref17">17</xref>] .</p><p>Land use/Land cover types: The main land use types in the UENB (<xref ref-type="fig" rid="fig1">Figure 1</xref>) include; small-scale agriculture, both rainfed and irrigated, semi-nomadic pastoralism, large-scale commercial estates, large-scale commercial ranching, highly advanced irrigated commercial horticulture for export, dairying, conservancies holding both wildlife and livestock, eco-tourism and forestry [<xref ref-type="bibr" rid="scirp.131872-ref18">18</xref>] . The upper slopes of Mt. Kenya, Aberdares and the Nyambene hills are covered with forests and are protected zones as nature reserves. The vast Laikipia plateau is covered with grasslands and bushlands mainly for livestock grazing and commercial ranches. Cultivated lands, both small and large-scale commercial farms, are mostly found at the foot slopes of both mountains. In small-scale farms, rainfed crops are mainly for food, such as maize and beans, while irrigated crops are grown for sale, mostly potatoes, onions, cabbage, and carrots as well as exotic vegetables [<xref ref-type="bibr" rid="scirp.131872-ref19">19</xref>] . Livestock production is the most dominant land use, spread across 82% of the basin, providing the main livelihoods for pastoralists and commercial ranchers. The main livestock types are cattle, goats, sheep and poultry [<xref ref-type="bibr" rid="scirp.131872-ref20">20</xref>] . The UENB hosts substantive wildlife to the extent that it is the second-greatest wildlife abundance in Kenya after the Masai Mara National Reserve [<xref ref-type="bibr" rid="scirp.131872-ref21">21</xref>] . However wildlife populations have also suffered from years of poaching and encroachment by human settlements [<xref ref-type="bibr" rid="scirp.131872-ref22">22</xref>] . In recent years, community conservancies to protect wildlife across unfenced, communally-owned lands have been set up to benefit both wildlife and people, through livestock management integrated with conservation of natural habitats [<xref ref-type="bibr" rid="scirp.131872-ref23">23</xref>] .</p><p>Population and Ethnicity: The total population in the UENB is estimated at 1,179,436 spread across 326,199 households [<xref ref-type="bibr" rid="scirp.131872-ref24">24</xref>] . The basin hosts a rich heritage in multi-ethnic, diverse peoples, cultures, traditions and indigenous knowledge. In particular, there are large proportions of bantu peoples i.e. the Meru and Kikuyu, as well as indigenous peoples who include the Maasai and Ogiek in Laikipia, the Borana, Turkana and Somali in Isiolo and the Samburu in Samburu County. There are also smaller numbers of Caucasian settlers, Indian, urban and other ethnic groups from all over Kenya, residing and working in the UENB. In some parts of the basin, people coexist with wildlife and livestock, that share the natural resource base.</p><p>Conflicts: The UENB attracts high immigration rates and coupled with pressure from increasing population, land conversion through settlements and small-scale agriculture has encroached into the drier zones previously occupied by pastoralists and ranches. The expansion of commercial horticultural farms occurs on the upper slopes of Mt. Kenya, and is associated with excessive water abstractions resulting in drying up of rivers and streams in the downstream reaches [<xref ref-type="bibr" rid="scirp.131872-ref25">25</xref>] . The pastoralists occupy the driest lower parts of the basin, where pasture and water shortages are common occurrences, especially during the dry season [<xref ref-type="bibr" rid="scirp.131872-ref26">26</xref>] . Due to land use changes and expansion of cultivation, livestock herd sizes have been reducing especially among the pastoralists [<xref ref-type="bibr" rid="scirp.131872-ref27">27</xref>] , while natural grasslands have become denuded. As a result, the UENB faces numerous conflicts, especially in terms of upstream-downstream water users [<xref ref-type="bibr" rid="scirp.131872-ref28">28</xref>] . Other conflicts are between pastoralists-ranchers over grazing resources, pastoralists-cultivators, human-wildlife encroachment and conflicts over water, all of which escalate in times of drought.</p></sec><sec id="s3"><title>3. Data Collection and Sources</title><sec id="s3_1"><title>3.1. Data Sources</title><p>This paper utilized data and information obtained from both secondary and primary sources. The secondary data were obtained from published papers, reports, government records as well a review of global literature. Primary data were collected between 2020 and 2022 in the study area, while weather data were obtained from the Kenya Meteorological Department. The perceptions of communities as regards drought and its occurrence were assessed using semi-structured questionnaires administered through focus group discussions (FGD), while key informant interviews (KII) were used to gather data and insights from policymakers, County government staff, private sector actors and other stakeholders.</p></sec><sec id="s3_2"><title>3.2. Data Collection</title><p>Community perceptions of drought were assessed through interviews with the local people, who included farmers, pastoralists, water user associations, conservancies, and self-help groups from the areas within the UENB in Laikipia, Isiolo and Meru counties. The local areas (villages) where the fieldwork was conducted were: Matanya, Umande, Sweetwaters, Nanyuki, Mukogodo, Laikipia East and North in Laikipia. In Meru, respondents were interviewed in Buuri, Kiirua, Naari, Timau, Kisima, Kibirichia, while in Isiolo, respondents were from Oldonyiro, Sericho, Burat, Wabera, Waso, Mashambani, Ngaremara, Cherab and Isiolo Central. In addition, water resources users associations (WRUAs) were interviewed. They included Nturukuma, Ngusishi, Nanyuki, Naomoru, Likii and Isiolo WRUAs. Field visits were made to gain insights into drought as evidenced by water scarcity, crop failures, livestock, wildlife, environment and livelihood impacts.</p><p>A total of 187 respondents were interviewed of which 37 were reached through KII and 150 through FGDs (<xref ref-type="table" rid="table1">Table 1</xref>). The selection of respondents was stratified to ensure that the major livelihood groups were represented. In Isiolo, respondents were mostly pastoralists and agro-pastoralists, while in Laikipia and Meru, they were small-scale farmers, practising both rainfed and irrigated mixed agriculture. Large-scale farmers, conservancies, self-help and water user groups were also interviewed in all the counties.</p><p>The climate data was acquired from the Kenya Meteorological Department, comprising a database of 40-year (1981-2020) historical records of monthly rainfall and mean monthly maximum and minimum temperatures. Focusing on meteorological drought, annual rainfall data for Archers Post, which is the driest point, as well as for Segera farm which lies within the central Laikipia plateau were analyzed for deviation from mean annual rainfall. In addition, long-term temperature data for Archers post was analyzed to determine trends in climate variability. These data were analyzed using spreadsheet trend analysis.</p><p>The questionnaire surveys sought to determine community observations and understanding of drought, and their experiences including social, cultural, economic and environmental aspects. Also, respondents listed the years when drought had occurred and its indicators and impacts as well as any other issues. Moreover, communities have traditional indicators of drought and these were sought. The data collected from communities was the main source of insights into community perceptions. Since mostly qualitative data was collected, it was analyzed through categorical clustering using the spreadsheet to derive mostly qualitative findings.</p></sec></sec><sec id="s4"><title>4. Drought Occurrence at National Levels</title><p>Common disasters in Kenya include; droughts, floods, fires, accidents, diseases</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Respondents were interviewed by county</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >County</th><th align="center" valign="middle" >Policymakers &amp; Leaders</th><th align="center" valign="middle" >Community members</th><th align="center" valign="middle" >Total Respondents</th></tr></thead><tr><td align="center" valign="middle" >Isiolo</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >65</td></tr><tr><td align="center" valign="middle" >Laikipia</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >69</td></tr><tr><td align="center" valign="middle" >Meru</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >53</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >187</td></tr></tbody></table></table-wrap><p>and epidemics [<xref ref-type="bibr" rid="scirp.131872-ref29">29</xref>] . However, drought is the most common and devastating of all-natural disasters in the country, in terms of the large areas covered, populations adversely affected and socio-economic losses [<xref ref-type="bibr" rid="scirp.131872-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref30">30</xref>] . From a national perspective, Kenya has suffered from periodic droughts throughout history. Past records indicate that drought due to shortfalls in rainfall occurred in 1928, 1933/34, 1937, 1939, 1942/44, 1947, 1951, 1952/55, 1957/58 and 1965 [<xref ref-type="bibr" rid="scirp.131872-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref33">33</xref>] . In addition, since the 1970s, serious droughts have been recorded in 1971, 1974/75, 1977, 1980, 1982, 1983/84, 1987, 1991/92, 1995/96, 1999/2000, 2004, 2006, 2009 and in 2010/2011 [<xref ref-type="bibr" rid="scirp.131872-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref35">35</xref>] . More recently, droughts were recorded in 2016, 2019 and in 2021-2023 [<xref ref-type="bibr" rid="scirp.131872-ref36">36</xref>] . The areas prone to drought include the ASALs which are hot and receive less rainfall [<xref ref-type="bibr" rid="scirp.131872-ref34">34</xref>] . Other pressures, such as population growth and settlements, result in over-exploitation of natural resources such as from overgrazing, exacerbating the impacts of drought.</p><p>Generally, drought cycles in Kenya have become shorter, more frequent and intense due to global climate change and environmental degradation [<xref ref-type="bibr" rid="scirp.131872-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref37">37</xref>] . The average incidence of serious drought has increased from around seven serious droughts during the period 1980-1990 to 10 in the period 1991 to 2003, while over the last decade, drought events occurred every two years. At least 80 percent of Kenya’s land mass is drought-prone [<xref ref-type="bibr" rid="scirp.131872-ref34">34</xref>] . About 6.5 million people (13% of the total population) per year are exposed to droughts in Kenya and this number is expected to increase to 34% (more than 25 million people) by 2050 in tandem with population growth [<xref ref-type="bibr" rid="scirp.131872-ref38">38</xref>] .</p><p>Despite drought being a well-known, recurrent disaster in Kenya, it usually finds poor preparedness at local and national levels, yet the same is espoused in the country’s policies, strategies and development plans [<xref ref-type="bibr" rid="scirp.131872-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref34">34</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref40">40</xref>] . Generally, drought response is usually slow as contingency plans are activated during the disaster resulting in widespread loss of assets and suffering of the people. The prolonged drought of 2021-2023 is estimated [<xref ref-type="bibr" rid="scirp.131872-ref36">36</xref>] to have affected 5.4 million people. In real terms, drought as a national disaster is escalated at the local level.</p></sec><sec id="s5"><title>5. Drought Occurrence in the Upper Ewaso Ng’iro Basin</title><p>Drought occurrence in the Upper Ewaso Ng’iro Basin mirrors that of other arid and semi-arid lands (ASAL) of Kenya [<xref ref-type="bibr" rid="scirp.131872-ref31">31</xref>] . The earliest rain gauges in the UENB were installed by settlers in the Laikipia plateau in 1911 [<xref ref-type="bibr" rid="scirp.131872-ref17">17</xref>] . Thus, rainfall records for parts of the basin exist going back over 110 years. However, the data is discontinuous and thus, in terms of drought analysis, available records are rather more recent. This study made use of long-term data obtained from Segera Farm and Archers posts from 1981 to 2020. Segera farm has higher rainfall as it is situated in the sub-humid Laikipia Plateau, while Archers post has low rainfall, being situated in the dry north of the basin. It was found that annual rainfall at both Segera farm and Archers post depicted a high frequency of drought (<xref ref-type="fig" rid="fig2">Figure 2</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>). The 40-year rainfall records at both stations show that there were 23 drought years, compared to 17 years of above average rains, depicting a 58% drought prevalence. The plot of deviation from mean annual rainfall for both Segera and Archers post (<xref ref-type="fig" rid="fig4">Figure 4</xref>) indicated a declining trend showing rainfall had reduced.</p><p>These results are in line with the findings of other studies, which indicated that drought incidences have been increasing in both frequency and magnitude [<xref ref-type="bibr" rid="scirp.131872-ref41">41</xref>] . The average duration of drought-months increased from a low of 1.4 months in the 1960s to a high of 4.8 months in the 2000s. In essence, droughts occur every 2 - 3 years, bearing impacts on agriculture, livestock, wildlife, water availability and livelihoods. In addition, other studies in the basin [<xref ref-type="bibr" rid="scirp.131872-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.131872-ref42">42</xref>] showed that droughts occurred in 1976, 1980, 1982, 1983, 1984, 1985, 1987, 1991, 1992, 1993, 1994, 1995, 1996, 1999, 2000, 2002, 2005, 2006, 2008 and 2009 in the UENB. Also, over the last decade, droughts were recorded in 2011, 2014, 2017, 2019 and 2021-2023 [<xref ref-type="bibr" rid="scirp.131872-ref43">43</xref>] . A recent drought that sustained for five consecutive crop seasons, from 2021 to 2023, was considered the most severe drought in the last 40 years [<xref ref-type="bibr" rid="scirp.131872-ref36">36</xref>] .</p><p>In addition to declining rainfall, the UENB has experienced increasingly hotter weather. For example, the long-term (1981-2020) mean monthly maximum temperature for September at Archers Post depicts an increasing trend (<xref ref-type="fig" rid="fig5">Figure 5</xref>). These trends indicate climate variability with declining rainfall and thus aridification of the basin. Other indicators of escalating drought include the drying out of rivers which used to be perennial. The Ewaso Ng’iro River suffers frequent hydrological droughts, even completely drying out [<xref ref-type="bibr" rid="scirp.131872-ref43">43</xref>] . Within the duration of this study, the Ewaso Ng’iro River completely dried out during the 2021-2023 prolonged droughts.</p></sec><sec id="s6"><title>6. Community Perceptions of Drought</title><p>It is important to gain an understanding of what communities, i.e. farmers, pastoralists and other land users, perceive as drought since they hold vast experiences from generations of observations [<xref ref-type="bibr" rid="scirp.131872-ref44">44</xref>] . Generally, all the respondents</p><p>interviewed stated that they had experienced drought in their lifetimes. However small-scale farmers rarely keep records of rainfall or crop yields. Also, whereas pastoralists know the number of livestock they have, they do not keep written records. Thus, information on drought occurrence and impacts was presented in qualitative terms. The most common response to what communities recognize as drought was deficiencies in rainfall amounts, stated by 56% of respondents (<xref ref-type="table" rid="table2">Table 2</xref>). Some 14% of the respondents considered drought was evident from water scarcity associated with the drying of water sources. Other perceptions of drought were the shortage of pasture and fodder, crop failure and food shortage including famines.</p><p>Respondents also stated that rainfall sometimes fails completely causing severe drought, which is usually accompanied by hot, dry weather that continues for prolonged periods of time. Farmers in Isiolo, Laikipia and Meru relate drought to water shortages, crop failures, lack of pasture and other aspects that affect their livelihoods. This is because crop farmers in the UENB keep diverse livestock and thus, practice mixed farming or agro-pastoralism. Generally, crop farmers also require fodder and drinking water for their livestock. In Isiolo, these effects are more pertinent as the majority of land users are pastoralists who depend on livestock. The pastoralists inhabit the arid and semi-arid zones in the north of the basin, mostly in Isiolo and some parts of Laikipia. For them, the drying up of rivers and lack of pasture are major indicators of drought [<xref ref-type="bibr" rid="scirp.131872-ref45">45</xref>] .</p><p>In terms of years when drought had occurred, respondents listed the following years: 1979, 1981, 1984, 1989, 1982, 1992, 1994, 1999, 2001, 2002, 2009, 2011, 2015, 2017, 2019, 2022 and 2022. This agrees with published data [<xref ref-type="bibr" rid="scirp.131872-ref43">43</xref>] which reveals that since the 1980s, the UENB basin has experienced drought in; 1983/84, 1987,1991/92, 1995/96, 1999, 2001, 2004/2005, 2006, 2009 [<xref ref-type="bibr" rid="scirp.131872-ref42">42</xref>] . The periods 1982-1985, 1987-1988, 1991-1993, 1995-1996 and 1999-2000 had recorded extreme droughts in other parts of Kenya as well [<xref ref-type="bibr" rid="scirp.131872-ref9">9</xref>] . Over the last decade, droughts have also been recorded in 2011, 2014, 2017, 2019 and 2021-2023. This drought was rated as one of the most severe in 40 years, enduring continuously over 5 crop seasons [<xref ref-type="bibr" rid="scirp.131872-ref36">36</xref>] .</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Perception of drought by communities</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Drought Indicator</th><th align="center" valign="middle"  colspan="5"  >Number of respondents</th></tr></thead><tr><td align="center" valign="middle" >Isiolo</td><td align="center" valign="middle" >Laikipia</td><td align="center" valign="middle" >Meru</td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >% of total</td></tr><tr><td align="center" valign="middle" >Rainfall failure</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >56</td></tr><tr><td align="center" valign="middle" >Water Shortage</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >14</td></tr><tr><td align="center" valign="middle" >Crop failure</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >9</td></tr><tr><td align="center" valign="middle" >Food shortage</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Pasture/fodder scarcity</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >150</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap></sec><sec id="s7"><title>7. Policy Initiatives for Drought Information and Early Warning</title><p>Generally in Kenya, drought monitoring and early warning systems are handled at national levels and then cascaded to the counties. The Kenya Meteorological Department (KMD) is the custodian of the national weather stations and databases. But counties also collate rainfall records at local levels. The Intergovernmental Authority on Development (IGAD) Centre for Drought Monitoring and Early Warning serves the horn of Africa countries, of which the UENB is among its mandate areas [<xref ref-type="bibr" rid="scirp.131872-ref10">10</xref>] . The linkages to grassroots stakeholders on matters of drought early warning, preparedness, response and relief are led by the National Drought Management Authority (NDMA), working with other relevant agencies. Thus, drought early warning aggregates data and information from multiple sources, adopting a unified management system so that response can be provided in a timely manner. Pursuant to this, the Strategy on Ending Drought Emergencies [<xref ref-type="bibr" rid="scirp.131872-ref39">39</xref>] was designed to facilitate information on drought, climate and socio-economic situations in ASAL areas, so as to facilitate concerted and timely action by relevant stakeholders and well-coordinated assistance to drought-affected populations. The Strategy had a timeline of 2022, by which time, drought emergencies were supposed to have been controlled in Kenya. The reality is that drought emergencies have been getting worse, as press reports in February 2023 indicated a prolonged drought affecting 3.1 million people in Kenya, who required relief food [<xref ref-type="bibr" rid="scirp.131872-ref36">36</xref>] . The fact that drought emergencies still persist, means that not much has changed in how drought disasters are addressed in Kenya.</p></sec><sec id="s8"><title>8. Indigenous Knowledge in Drought Prediction</title><p>Indigenous knowledge plays an important role, mostly in predicting rainfall and sometimes drought. Within the UENB, local communities have ingenious ways of predicting drought and other natural disasters. These range from weather changes such as a dry wind, changes in vegetation, insects and biodiversity. In particular, indigenous peoples, especially the pastoralists e.g. the Maasai, Samburu, Boran and Turkana, have retained much of their traditional ways of life [<xref ref-type="bibr" rid="scirp.131872-ref46">46</xref>] . They hold vast local knowledge and experiences, including in weather forecasting, drought prediction and coping strategies [<xref ref-type="bibr" rid="scirp.131872-ref46">46</xref>] . Indigenous knowledge can be useful as a drought early warning system [<xref ref-type="bibr" rid="scirp.131872-ref45">45</xref>] . Indigenous knowledge has two sides; the knowledge related to the production systems, such as livestock, that is often used to gauge environmental change, and the knowledge of the environment itself in terms of grazing landscapes, soils, vegetation types and land use. In Kenya, and more so in the UENB, indigenous peoples live in the driest and harshest drought-prone areas and are marginalized [<xref ref-type="bibr" rid="scirp.131872-ref46">46</xref>] . The people are also experienced in the management of ecosystems and livelihoods in times of drought, having survived in harsh conditions for centuries. They can predict drought, find pastures and water during drought and diagnose, prevent and treat livestock and human diseases [<xref ref-type="bibr" rid="scirp.131872-ref47">47</xref>] . They use indigenous knowledge to manage harsh living conditions. The use of indigenous knowledge for drought prediction has not been adequately studied in the UENB and remains a research gap requiring attention.</p></sec><sec id="s9"><title>9. Conclusions</title><p>This study was focused on drought occurrence in the UENB. It collated the views of 187 respondents comprising 150 land users and 37 policy makers and other stakeholders. It was found that drought is a serious disaster in the UENB to the extent that, 58% of the years from 1981 to 2020 had below-average rainfall.</p><p>Community perceptions of drought closely mirror available records on drought occurrence. Communities relate drought to lack or shortage of rainfall, late onset or early cessation of the rainy season and dry weather for prolonged periods of time.</p><p>Generally, smallholder farmers do not keep records of rainfall or crop yields, thus, indicators of drought are mainly qualitative. Drought affects all stakeholders across the different land user categories in the UENB. But small-scale farmers reliant on rainfed systems and pastoralists who inhabit the driest zones of the basin are more vulnerable.</p><p>Water scarcity is linked to various types of conflicts which escalate during drought. During drought periods, pastoral grazing lands and conservancies face pasture and water shortages for livestock and wildlife. These lead to drought-associated conflicts that take the form of upstream-downstream water users, pastoralists-ranchers over grazing resources and trespass issues, pastoralists-cultivators, human-wildlife encroachment and general insecurity.</p><p>In general, despite the existence of indigenous knowledge among local communities for drought prediction and preparedness, its use is poorly acknowledged.</p></sec><sec id="s10"><title>10. Recommendations</title><p>Although policy initiatives exist to avail drought early warning, such information does not reach communities in good time. Thus, drought early warning information is needed for communities in a format they can access, understand and apply.</p><p>There is a need for research to capture indigenous knowledge in drought forecasting and management, and use it alongside scientific methods, for improved preparedness and response.</p><p>There is also a need for further research on modalities for sustainably reducing conflicts as well as options for their resolution, before, during and after droughts in the UENB.</p></sec><sec id="s11"><title>Acknowledgements</title><p>This work was supported by the UKRI GCRF Equitable Resilience grant ES/T003006. The authors wish to thank the Jomo Kenyatta University of Agriculture and Technology (JKUAT) in Kenya and Cranfield University of the United Kingdom, for their support during the study.</p></sec><sec id="s12"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest.</p></sec><sec id="s13"><title>Cite this paper</title><p>Mati, B., Karithi, A. and Kimaiyo, J. (2024) Drought Occurrence and Community Perceptions in the Upper Ewaso Ng’iro Basin, Kenya. Open Access Library Journal, 11: e10604. http://doi.org/10.4236/oalib.1110604</p></sec></body><back><ref-list><title>References</title><ref id="scirp.131872-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Palmer, W.C. (1965) Meteorological Drought. 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