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\title{Droughts in the Sudano-Sahelian Ecological Zone of Nigeria: Implications for Agriculture and Water Resources Development}
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             \author[1]{Dr.  Abaje}

             \affil[1]{  Federal University, Dutsin-ma, Katsina State-Nigeria}

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\date{\small \em Received: 16 December 2012 Accepted: 4 January 2013 Published: 15 January 2013}

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\begin{abstract}
        


This study evaluates the extent and degree of severity of droughts in the Sudano- Sahelian Ecological Zone of Nigeria using rainfall data spanning a period of 60 years (1949- 2008) for eight meteorological stations in the zone. The Normalized Rainfall Index was used in depicting periods of different drought intensities in the region. The results revealed that the zone was characterized by larger extent of severe drought since the beginning of 1968 through the early 1970s, and then the 1980s in which the drought was so severe than any other decade in the study period. The late 1990s and the 2000s on the other hand have been witnessing a decrease in the number of drought occurrences in the zone. The mean absolute probability of mild, moderate and severe droughts for the zone was 0.13 (recurrence interval of 7.7 years), 0.11 (recurrence interval of 9.1 years), and 0.08 (recurrence interval of 12.5 years) respectively.

\end{abstract}


\keywords{drought probability, normalized rainfall index, recurrence interval, severe drought.}

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\let\tabcellsep& 	 	 		 
\section[{Introduction}]{Introduction}\par
rought is one of the most important natural disasters that show its influences slowly by time. It is one of the costliest natural disaster of the world and affects more people than any other natural disaster \hyperref[b22]{(Loukas and Vasiliades, 2004;}\hyperref[b12]{Bacanli et al., 2008)}. It occurs in virtually all climatic zones, but its characteristics vary significantly from one region to another. Drought is a temporary aberration; it differs from aridity, which is restricted to low rainfall regions and is a permanent feature of climate  {\ref (NDMC, 2006)}.\par
There is no universally accepted definition of drought due to the wide variety of sectors affected by drought, its diverse geographical and temporal distribution and the demand placed on water supply by human-use systems \hyperref[b22]{(Loukas and Vasiliades, 2004)}. Based on the nature of the water deficit, many authorities such as \hyperref[b8]{Ayoade (1988}\hyperref[b9]{Ayoade ( , 2004))}, \hyperref[b13]{Barry and Chorley (2003)}, \hyperref[b28]{Okorie, (2003)},  {\ref AMS (1997} {\ref AMS ( , 2004}), \hyperref[b22]{Loukas and Vasiliades (2004)},  {\ref NDMC (2006)}, and Trenberth et al. (2007) amongst others inclusively defined four types of droughts: a) the meteorological drought which is defined as a lack of precipitation over region for a period of time, b) the hydrological drought which is related to a period with inadequate surface and subsurface water resources to supply established water uses of a given water resources management system, c) the agricultural drought, which, usually, refers to a period with declining soil moisture and consequent crop failure without any reference to surface water resources, d) the socio-economic drought which is associated to the failure of water resources systems to meet the water demands and thus, associating droughts with supply of and demand for an economic good (water).\par
One characteristic seems to be common with all the definitions: drought is caused by a deficiency in precipitation for a fairly long period of time. This may cause widespread crop failure, death of livestock, water shortages, famine and other hardships that may result in the loss of human lives.\par
Drought is an inherent characteristic of Africa. One-third of the people in Africa live in drought-prone areas and are vulnerable to the impacts of droughts \hyperref[b14]{(Bates et al., 2008)}. Since the devastating Sahelian drought of the early 1970s, drought has reoccurred in many parts of Africa \hyperref[b29]{(Oladipo, 1993)}. In West Africa, a decline in annual rainfall has been observed since the end of the 1960s, with a decrease of 20-40\% in the period 1968-1990 as compared with the 30 years between 1931 and 1960 \hyperref[b24]{(Nicholson et al., 2000;}\hyperref[b15]{Chappell and Agnew, 2004;}\hyperref[b16]{Dai et al., 2004)}.\par
The Sudano-Sahelian Ecological Zone (SSEZ) suffered from seasonal and inter-annual climatic variability, and there have been droughts and effective desertification processes, particularly since the 1960s \hyperref[b18]{(FRN, 2003)}. The Sahelian droughts of the 1970s and the 1980s ravaged this zone and left farmers impoverished \hyperref[b7]{(Ati et al., 2007)}. It has also been noted that the frequent occurrences of drought in this zone isD ( D D D D )\par
poor quality of life especially among the less privileged ones \hyperref[b3]{(Alatise and Ikumawoyi, 2007)}. The situation is being aggravated by the increase in human population, which appears to be stressing the natural support system  {\ref (FRN, 2005)}.\par
Since drought is an extreme weather event, appropriate techniques should therefore, be applied to determine its occurrence based on relevant data in order to ameliorate its impact on the people of Nigeria with particular reference to the SSEZ. This study, therefore, examines the extent and degree of severity of drought in the zone. It discusses the implications of the occurrence of droughts for agriculture and water resources development, and also recommends possible solutions based on the findings. 
\section[{II.}]{II.} 
\section[{Study Area}]{Study Area}\par
The SSEZ is located in northern Nigeria between latitude 10 0 N and 14 0 N and longitude 4 0 E and 14 0 E (Fig. \hyperref[fig_0]{1}). This zone occupies almost one-third of the total land area of the country. It stretches from the Sokoto plains through the northern section of the high plains of Hausaland to the Chad Basins \hyperref[b26]{(Odekunle et al., 2008)}.\par
The climate of the zone is the tropical wet and dry type, classified by Koppen as Aw. The zone has an average annual rainfall of about 500 mm in the extreme northeastern part to 1000 mm in the southern sub-region (Abaje et al, 2012a\&b). The rainfall occurs between the months of April to October with a peak in August. The pattern of rainfall in the zone is highly variable in spatial and temporal dimensions with interannual variability of between 15 and 20\%. As a result of the large inter-annual variability of rainfall, this zone is subject to frequent dry spells which can result in severe and widespread droughts \hyperref[b29]{(Oladipo, 1993;}\hyperref[b17]{FRN, 2000;}\hyperref[b28]{Okorie, 2003)}.\par
The geology, relief and geomorphological processes that shaped the landforms have greatly influenced the soils \hyperref[b17]{(FRN, 2000)}. More than half of the region is covered by ferruginous tropical soils which are heavily weathered and markedly laterized \hyperref[b29]{(Oladipo, 1993;}\hyperref[b17]{FRN, 2000)}. They are mostly formed on granite and gneiss parent materials, and on aeolian and many sedimentary deposits \hyperref[b0]{(Abaje, 2007)}. The vegetation is the Savanna type consisting of Sudan and Sahel with the density of trees and other plants decreasing as one move northwards \hyperref[b0]{(Abaje, 2007)}. These two zones (Sudan and Sahel) are together referred to as the SSEZ. This zone has been described by many researchers as the Nigerian dry-land, containing most of the range-land of the country. It constitutes the main source of fodder and grazing land for livestock, and therefore supports large numbers of cattle and other domestic animals. Donkeys and camels are very characteristic of this zone \hyperref[b17]{(FRN, 2000)}.  
\section[{Materials and Methods}]{Materials and Methods}\par
Rainfall data spanning a period of 60 years  was used in this study (Table \hyperref[tab_0]{1}). The data were sourced from the archive of Nigerian Meteorological Agency (NIMET), Oshodi-Lagos. The data were collected at eight synoptic meteorological stations in the SSEZ of Nigeria -Yelwa, Potiskum, Maiduguri, Kano, Gusau, Sokoto, Nguru, and Katsina. These stations were selected based on the following criteria: 1) they are evenly distributed, 2) all the stations have long period of recorded rainfall data that cover the period of study, 3) they have not been affected by site relocation since their establishment, and 4) the data were tested and found to be normally distributed.  Source : Nigerian Meteorological Agency (NIMET), Oshodi-Lagos. 
\section[{Global Journal of Human Social Science}]{Global Journal of Human Social Science} 
\section[{a) Test for Normality}]{a) Test for Normality}\par
The standardized coefficients of Skewness (Z 1 ) and Kurtosis (Z 2 ) statistics as defined by Brazel and Balling (1986) were used to test for the normality in the seasonal (April to October) rainfall series for each of the stations. These are the months during which most of the stations in the region receive over 85\% of their annual rainfall totals. The standardized coefficient of Skewness (Z 1 ) was calculated as:( ) ( ) ( ) 2 1 2 3 1 2 1 3 1 6 N x x x x Z N i N i N i N i ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? = ? ? = =\par
and the standardized coefficient of Kurtosis (Z 2 ) was determined as:( ) ( ) ( ) 2 1 2 1 2 1 4 2 24 3 N x x x x Z N i N i N i N i ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? = ? ? = =\par
Where x is the long term mean of i x values, and N is the number of years in the sample. These statistics were used to test the null hypothesis that the individual temporal samples came from a population with a normal (Gaussian) distribution. If the absolute value of Z 1 or Z 2 is greater than 1.96, a significant deviation from the normal curve is indicated at the 95\% confidence level. 
\section[{b) Drought Indexing}]{b) Drought Indexing}\par
The Normalized Rainfall Index (NRI) as defined by \hyperref[b31]{Türkes (1996)} was used in depicting periods of different drought intensities in the region. This index uses annual or seasonal rainfall totals and the standard deviation to indicate the shortage of water of any given season. The Index for a given station is computed as: In this very study, a modified classification of NRI was adopted. This is because extreme values, that is, greater than or equal to 1.76 and less than or equal to -1.76 are very infrequent throughout the period of study. This modified classification is presented in Table \hyperref[tab_1]{2}. The frequencies of occurrence of mild, moderate and severe droughts were then calculated and their absolute empirical probabilities were computed as the ratio of the number of actual occurrences of mild, moderate and severe drought to the number of possible occurrences. From these absolute probability values, drought recurrence intervals = Ny total number of possible occurrence (the period specified for the station); = Ri drought recurrence intervals (or return periods). 
\section[{IV. esults and Discussion}]{IV. esults and Discussion} 
\section[{a) Test for Normality}]{a) Test for Normality}\par
The results of the standardized coefficients of skewness (Z 1 ) and kurtosis (Z 2 ) for the eight stations are presented in Table \hyperref[tab_2]{3}. All the stations were accepted as normal at 95\% confidence level. Therefore, no transformation was made to the rainfall series. The results of analysis of Normalized Rainfall Index (NRI) in the study area are presented graphically in Figure 2 (a-h) for the 8 stations.\par
The results show that the zone is generally replete with severe and prolonged drought events. Mild to severe drought conditions existed over this zone in 1949. The only exception was Sokoto that experienced very wet condition while mildly wet condition existed in Yelwa.\par
The 1950s generally experienced normal to very wet conditions in the study area. The only exception in the zone was found at Yelwa when moderate drought affected the area in 1950 and 1952. Interestingly, the extreme northern part of the study area that was expected to be affected by drought, had a normal moisture condition throughout the decade. Nguru that is at the extreme northeastern part of the study area was the wettest in that decade.\par
The early 1960s featured generally normal to wet conditions, except in 1964 when moderate drought affected the northeastern part of the zone. In contrast, the other half of the 1960s was characterized by some isolated mild to severe droughts that affected different parts of the study area. About 29\% of the areas were affected by moderate to severe droughts in 1966 to 1968, but this was replaced by a normal condition in 1969. The year 1968 is often referred to as the beginning of the Catastrophic Sahelian Droughts; but from the results of this analysis, only 38 \% of the study area was affected by severe droughts in 1968. This implies that the Catastrophic Sahelian Droughts of 1968-1973 did not start simultaneously in the whole of the region. It started in the northern part of the West African Sahel in 1968 and retreated southwards until 1973 when the whole study area was affected by drought.\par
The Sahelian droughts of the 1970s were more severe and significant in the zone than those previously discussed. In 1971, mild to moderate drought affected some part of the zone. This drought continued in many areas in 1972 and was severe at Nguru. The drought hit the highest point in 1973 in which the whole study area was affected by 50\% of moderate and 50\% of severe drought conditions. There was a slight break in the intensity and percentage coverage of drought in 1974-1977, with only Sokoto and Potiskum area affected by severe drought in 1974 and 1977 respectively. By 1978-1979, normal conditions return to the environment.\par
The 1980s were characterized by more widespread, more severe and more persistent droughts than the decade 1970-1979. This decade  {\ref (1980)} {\ref (1981)} {\ref (1982)} {\ref (1983)} {\ref (1984)} {\ref (1985)} {\ref (1986)} {\ref (1987)} {\ref (1988)} {\ref (1989)} witnessed the persistent of drought in the zone beginning in 1981. It was the decade in which severe drought became more extensive. About 63\% of moderate to severe droughts cover the zone in 1981-1987. The year 1987 was the driest in that decade in which about 37.5\% and 62.5\% of the zone was affected by moderate and severe droughts respectively. In particular, the drought of the 1987 was more severe than the driest year  {\ref (1973)}    The first half of the 1990s featured some isolated mild to severe droughts; except 1990 in which 63\% of the study area was affected by moderate to severe drought. Surprisingly, the extreme northern part of the zone had a normal moisture condition throughout that year. Contrariwise, the same extreme northern part of the zone was affected by moderate to severe drought in 1991 to 1994. Near normal to very wet conditions of about 78\% dominated the other half of the 1990s.\par
About 85\% of the study area during the period 2000-2008 generally experienced near normal to very wet conditions except some isolated mild, moderate and severe droughts that affected about 8\%, 3\% and 4\% of the area respectively. The year 2002 was the driest in the period in which the northeastern part was affected by severe drought. After that normal condition returned in 2003 which is also the wettest year in the period.\par
Generally, the SSEZ of Nigeria was characterized by larger extent of severe drought since the beginning of 1968 through the early 1970s, and then the 1980s in which the drought was so severe than any other decade in the study period. The year 1987 was the driest in the whole series of drought during the study period followed by 1973 and 1983 in that order. The late 1990s and the 2000s on the other hand have been witnessing a decrease in the number of drought occurrences in the zone. The finding is in agreement with the observation made by Abaje et al (2012a) that the SSEZ of Nigeria has been experiencing increasing wetness over the recent years. This may be due to awareness and the general reduction in human activities that causes drought and desertification as a result of the high level of commitment from International Governmental and Non-Governmental Organization such as Intergovernmental Panel on Climate Change (IPCC), United Nations Environment Program (UNEP), and National Drought Mitigation Center (NDMC) amongst others. 
\section[{c) Frequency of Drought}]{c) Frequency of Drought}\par
The absolute probabilities of occurrence of mild, moderate and severe droughts and their respective recurrence intervals were calculated for each station in the study area (Table \hyperref[tab_5]{4}). The values show variation among individual stations. Kano has the highest probability of occurrence of mild drought (0.23) than any other station in the zone with a recurrence interval (or return period) of 4.3 years, while Nguru has the least probability of occurrence of mild drought of 0.07 with a recurrence interval of 14.3 years.\par
The probabilities of occurrence of moderate drought for the 8 stations show that Nguru has the  Year 2013B Figure 2 Continued\par
highest probability of 0.15 with a return period of 6.7 years, followed by a probability of 0.13 each for Maiduguri and Kano with a recurrence interval of 7.7 years.\par
On the other hand, the probabilities of occurrence of severe drought for the 8 stations revealed Potiskum as having the highest probability of occurrence (0.12) with a recurrence interval of 8.3 years. Sokoto, Nguru and Katsina have a probability of 0.10 each with a recurrence interval of 10 years. The least probability of occurrence of severe drought (0.05) is found in Yelwa and Kano with a return period of 20 years. A closer examination of the probabilities of occurrence of severe drought in the zone shows that the extreme northern parts and northeastern parts are more susceptible to severe drought. This is in good agreement with earlier researchers that these areas are more prone to drought and desertification \hyperref[b29]{(Oladipo, 1993;}\hyperref[b17]{FRN, 2000;}\hyperref[b10]{Ayuba, 2007)}.\par
The mean absolute probability of mild drought, moderate drought and severe drought for the zone is 0.13 (recurrence interval of 7.7 years), 0.11 (recurrence interval of 9.1 years), and 0.08 (recurrence interval of 12.5 years) respectively. On the whole, the mean absolute probability of occurrence of drought in the zone is 0.11 with a recurrence interval of 9.1 years. The computed recurrence intervals are also in good agreement with the analyzed data in Fig. 2. 
\section[{V. Implications for Agriculture and Water Resources Development}]{V. Implications for Agriculture and Water Resources Development}\par
Water scarcity due to the occurrence of droughts affects the agricultural outputs of the zone. Food shortages result from an abnormal reduction in crop yield. Irrigation projects which would have served to mitigate these problems are also affected by water shortages as most of the dams dry up during droughts. This implies that agro-allied industries may be affected since their raw materials will be lacking. For example, lower production of cotton, tobacco and groundnuts has made the ginneries and textiles industries, tobacco, and cooking oil companies respectively to resort to importation of their raw materials. This may leads to unemployment because most of these industries/companies have to downsize their work force.\par
During drought periods, the land is under increased stress from both humans and livestock. This often results in the depletion of the soil. Overgrazing becomes destructive during drought when large areas that would normally have been available for grazing dry up. Animal are force to feed on any available edible vegetation they could find. This may be severe enough to cause severe damage to the environment. Once the precarious equilibrium of the plant communities adapted to the characteristically variable climate is upset by persistent drought, complete ecological recovery may be impossible, even when the rains return. Thus, drought has often been regarded as the major cause of desertification.\par
The occurrence of droughts in this zone has great implications on the cattle sector. The occurrence of mild drought results in cattle losing weight, whereas the occurrence of severe drought results in increased livestock mortality rates due to scarcity or lack of feed. This affects revenue generation and household income. Subsistence farmers who derive other benefits from cattle such as milking and draught power also suffer losses because the quality and quantity of the milk is reduced and also, the weight and strength of cattle for the purpose of draught power is drastically reduced.\par
The occurrence of droughts leads to the sustenance of few rivers and streams and the lowering of the water table. This has an implication for developmental projects that depend on water from rivers and ground water sources. The lowering of the water( D D D D ) B\par
table on the other hand has an implication in digging of wells and construction of bore holes because the water table may never be reached in some places; as a result, there may be scarcity of water especially in rural areas that depend solely on underground and some surface water sources. 
\section[{VI.}]{VI.} 
\section[{Conclusions}]{Conclusions}\par
Drought occurs in every part of the globe and adversely affects the lives of a large number of people, causing considerable damage to economies, the environment, and property. It also affects countries or regions differently, having a greater impact on countries or regions with poor economic conditions.\par
Findings revealed that this zone is generally replete with severe and prolonged drought events and that the Catastrophic Sahelian Droughts of 1968-1973 did not start simultaneously in the whole of the region. It started in the northern part of the West African Sahel in 1968 and retreated southwards until 1973 when the whole study area was affected by drought. Findings further revealed that the decade (1980-1989) witnessed the persistent of drought in the zone. It was the decade in which severe drought became more extensive. In particular, the drought of the 1987 was more severe than the driest year (1973) of the Catastrophic Sahelian Droughts of 1968-1973. The late 1990s and the 2000s on the other hand have been witnessing decreasing in the number of drought occurrences in the zone.\par
The frequency of drought was computed, and the results revealed that the mean probability of mild, moderate, and severe droughts for the zone were 0.13 (recurrence interval of 7.7 years), 0.11 (recurrence interval of 9.1 years), and 0.08 (recurrence interval of 12.5 years) respectively.\par
Herd management practices are of utmost important in this zone. This is because nearly 70\% of Nigerian cattle are concentrated here. The zone supports about two-thirds of the goats and sheep and almost all the donkeys, camels and horses found in the country. Herd management practices to be adopted should include the following: The establishment and improvement of early warning systems for monitoring the occurrence of meteorological drought in these areas would help in planning of relief measures and will also provide input to determine agricultural drought.? Reduction in\par
The analysis of existing series of observed climatic data is of paramount important in order to develop the probability distribution of rainfall amount and timing. These distributions will provide information on the beginning, the end and the length of the rainy season and on the amount of available water during the season. Such knowledge is pertinent to the introduction of new, more productive and more drought resistant varieties of different crops and for introduction of improved farming systems. Where water retention and supplemental irrigation are possible, agricultural production can be boosted in a significant way through the use of high yielding varieties together with organic and inorganic sources of fertilization.\par
Construction of new wells, boreholes, and water harvesting are all mitigating measures that could be taken after the onset of drought.\par
Considering the importance of ground water as the major water resource for rural, urban, industry and agricultural applications in this zone, opportunities should be provided by the government for professionals to study and develop realistic methods for utilization of ground water without socio-political concerns. In such a case, it would be possible to counter drought crises by using static and dynamic storage capacities of ground water resources.\par
Drought and Flood Research Centers should be established in all the universities of the zone, and there should be regular organization of educational-/professional short courses on drought management for professional staff and managers and public educational programs to deal with drought problems.  
\section[{Global Journal of Human Social Science}]{Global Journal of Human Social Science}\begin{figure}[htbp]
\noindent\textbf{1}\includegraphics[]{image-2.png}
\caption{\label{fig_0}Figure 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{}\includegraphics[]{image-3.png}
\caption{\label{fig_1}VolumeB}\end{figure}
      \begin{figure}[htbp]
\noindent\textbf{1} \par 
\begin{longtable}{P{0.10347826086956521\textwidth}P{0.16630434782608697\textwidth}P{0.13304347826086957\textwidth}P{0.13304347826086957\textwidth}P{0.11826086956521739\textwidth}P{0.14413043478260867\textwidth}P{0.05173913043478261\textwidth}}
Station\tabcellsep \multicolumn{3}{l}{Station No. Latitude Longitude}\tabcellsep Altitude\tabcellsep Period\tabcellsep No. of years\\
Yelwa\tabcellsep 1004.54\tabcellsep 10 0 53'N\tabcellsep 04 0 45'E\tabcellsep 224.00m\tabcellsep 1949-2008\tabcellsep 60\\
Potiskum\tabcellsep 1111.40\tabcellsep 11 0 43'N\tabcellsep 11 0 07'E\tabcellsep 487.68m\tabcellsep 1949-2008\tabcellsep 60\\
Maiduguri\tabcellsep 1113.50\tabcellsep 11 0 51'N\tabcellsep 13 0 05'E\tabcellsep 348.00m\tabcellsep 1949-2008\tabcellsep 60\\
Kano\tabcellsep 1208.03\tabcellsep 12 0 03'N\tabcellsep 08 0 32'E\tabcellsep 475.80m\tabcellsep 1949-2008\tabcellsep 60\\
Gusau\tabcellsep 1206.14\tabcellsep 12 0 10'N\tabcellsep 06 0 42'E\tabcellsep 468.00m\tabcellsep 1949-2008\tabcellsep 60\\
Sokoto\tabcellsep 1205.51 A\tabcellsep 12 0 55'N\tabcellsep 05 0 12'E\tabcellsep 309.00m\tabcellsep 1949-2008\tabcellsep 60\\
Nguru\tabcellsep 1210.52 E\tabcellsep 12 0 58'N\tabcellsep 10 0 28'E\tabcellsep 341.00m\tabcellsep 1949-2008\tabcellsep 60\\
Katsina\tabcellsep 1307.04\tabcellsep 13 0 01'N\tabcellsep 07 0 41'E\tabcellsep 516.63m\tabcellsep 1949-2008\tabcellsep 60\end{longtable} \par
 
\caption{\label{tab_0}Table 1 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{2} \par 
\begin{longtable}{P{0.4895999999999999\textwidth}P{0.3604\textwidth}}
Index\tabcellsep Character of Rainfall\\
1.31 or more\tabcellsep Very wet\\
0.86 to 1.30\tabcellsep Moderately wet\\
0.51 to 0.85\tabcellsep Mildly wet\\
0.50 to -0.50\tabcellsep Near normal\\
-0.51 to -0.85\tabcellsep Mild drought\\
-0.86 to -1.30\tabcellsep Moderate drought\\
-1.31 or less\tabcellsep Severe drought\\
\multicolumn{2}{l}{c) Drought Probabilities and Recurrence Intervals}\end{longtable} \par
 
\caption{\label{tab_1}Table 2 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{3} \par 
\begin{longtable}{P{0.31984536082474224\textwidth}P{0.05695876288659794\textwidth}P{0.11391752577319587\textwidth}P{0.03505154639175258\textwidth}P{0.05257731958762887\textwidth}P{0.14896907216494845\textwidth}P{0.03943298969072165\textwidth}P{0.03943298969072165\textwidth}P{0.04381443298969072\textwidth}}
Stations Statistics\tabcellsep Yelwa\tabcellsep \multicolumn{2}{l}{Potiskum Maiduguri}\tabcellsep Kano\tabcellsep \multicolumn{4}{l}{Gusau Sokoto Nguru Katsina}\\
Skewness (Z 1 )\tabcellsep 0.41\tabcellsep 0.10\tabcellsep 0.23\tabcellsep 0.84\tabcellsep 0.76\tabcellsep 0.07\tabcellsep 0.09\tabcellsep -0.24\\
Kurtosis (Z 2 )\tabcellsep 1.80\tabcellsep 0.52\tabcellsep 0.59\tabcellsep 0.48\tabcellsep 1.07\tabcellsep -0.50\tabcellsep -0.64\tabcellsep -0.17\\
\multicolumn{2}{l}{b) Occurrence of Drought}\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_2}Table 3 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.1259259259259259\textwidth}P{0.09144620811287477\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.0839506172839506\textwidth}P{0.005996472663139329\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.01948853615520282\textwidth}P{0.049470899470899464\textwidth}P{0.005996472663139329\textwidth}}
\tabcellsep 2 3\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep (f)\\
\tabcellsep Values\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
\tabcellsep NRI\tabcellsep 1949\tabcellsep 1951\tabcellsep 1953\tabcellsep 1955\tabcellsep 1957\tabcellsep 1959\tabcellsep 1961\tabcellsep 1963\tabcellsep 1965\tabcellsep 1967\tabcellsep 1969\tabcellsep 1971\tabcellsep 1973\tabcellsep 1975\tabcellsep 1977 Years 1979\tabcellsep 1981\tabcellsep 1983\tabcellsep 1985\tabcellsep 1987\tabcellsep 1989\tabcellsep 1991\tabcellsep 1993\tabcellsep 1995\tabcellsep 1997\tabcellsep 1999\tabcellsep 2001\tabcellsep 2003\tabcellsep 2005\tabcellsep 2007\\
\tabcellsep 3\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep (g)\\
\tabcellsep 2\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
2 6\tabcellsep -2 -1 0 1 NRI Values\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Volume XIII Issue IW I Version I D D D D )\tabcellsep -3 -2 -1 0 1 2 3 NRI Values\tabcellsep 1949 1949\tabcellsep 1951 1951\tabcellsep 1953 1953\tabcellsep 1955 1955\tabcellsep 1957 1957\tabcellsep 1959 1959\tabcellsep 1961 1961\tabcellsep 1963 1963\tabcellsep 1965 1965\tabcellsep 1967 1967\tabcellsep 1969 1969\tabcellsep 1971 1971\tabcellsep 1973 1973\tabcellsep 1975 1975\tabcellsep \multicolumn{2}{l}{1977 Years 1979 1981 1977 1979 1981 Years}\tabcellsep 1983 1983\tabcellsep 1985 1985\tabcellsep 1987 1987\tabcellsep 1989 1989\tabcellsep 1991 1991\tabcellsep 1993 1993\tabcellsep 1995 1995\tabcellsep 1997 1997\tabcellsep 1999 1999\tabcellsep 2001 2001\tabcellsep 2003 2003\tabcellsep \multicolumn{2}{l}{2005 2005 (h) 2007 2007}\\
(\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\
Global Journal of Human Social Science\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par
 
\caption{\label{tab_4}}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{4} \par 
\begin{longtable}{P{0.14360730593607304\textwidth}P{0.11449771689497716\textwidth}P{0.14748858447488583\textwidth}P{0.16107305936073057\textwidth}P{0.06015981735159817\textwidth}P{0.11837899543378995\textwidth}P{0.10479452054794519\textwidth}}
\tabcellsep \tabcellsep \multicolumn{3}{l}{Ecological Zone of Nigeria}\tabcellsep \tabcellsep \\
\tabcellsep \multicolumn{2}{l}{Mild Drought}\tabcellsep \multicolumn{2}{l}{Moderate Drought}\tabcellsep \multicolumn{2}{l}{Severe Drought}\\
Stations\tabcellsep Probability\tabcellsep Recurrence Interval\tabcellsep \multicolumn{2}{l}{Probability Recurrence Interval}\tabcellsep Probability\tabcellsep Recurrence Interval\\
Yelwa\tabcellsep 0.08\tabcellsep 12.5\tabcellsep 0.12\tabcellsep 8.3\tabcellsep 0.05\tabcellsep 20.0\\
Potiskum\tabcellsep 0.13\tabcellsep 7.7\tabcellsep 0.05\tabcellsep 20.0\tabcellsep 0.12\tabcellsep 8.3\\
Maiduguri\tabcellsep 0.10\tabcellsep 10.0\tabcellsep 0.13\tabcellsep 7.7\tabcellsep 0.08\tabcellsep 12.5\\
Kano\tabcellsep 0.23\tabcellsep 4.3\tabcellsep 0.13\tabcellsep 7.7\tabcellsep 0.05\tabcellsep 20.0\\
Gusau\tabcellsep 0.17\tabcellsep 5.9\tabcellsep 0.08\tabcellsep 12.5\tabcellsep 0.07\tabcellsep 14.3\\
Sokoto\tabcellsep 0.15\tabcellsep 6.7\tabcellsep 0.10\tabcellsep 10.0\tabcellsep 0.10\tabcellsep 10.0\\
Nguru\tabcellsep 0.07\tabcellsep 14.3\tabcellsep 0.15\tabcellsep 6.7\tabcellsep 0.10\tabcellsep 10.0\\
Katsina\tabcellsep 0.08\tabcellsep 12.5\tabcellsep 0.10\tabcellsep 10.0\tabcellsep 0.10\tabcellsep 10.0\\
Mean for the Zone\tabcellsep 0.13\tabcellsep 7.7\tabcellsep 0.11\tabcellsep 9.1\tabcellsep 0.08\tabcellsep 12.5\end{longtable} \par
 
\caption{\label{tab_5}Table 4 :}\end{figure}
 \begin{figure}[htbp]
\noindent\textbf{} \par 
\begin{longtable}{P{0.85\textwidth}}
? Strategic Weaning of Calves: During a drought, the\\
production of milk rapidly depletes a cow's body\\
reserves, while the calf derives little benefit.\\
Weaning the calf gives the cow a better chance of\\
survival. In drought years, early weaning is\\
recommended. However, calves should not be\\
weaned before 3 months of age unless absolutely\\
necessary.\\
? Herd Segregation: Segregating animals into classes\\
gives the herd a better chance of getting needed\\
feed supplies. Segregation makes possible the\\
preferential treatment of vulnerable classes. Preg-\\
nancy testing is a useful tool to identify heavily\\
pregnant cows for special feeding, especially young\\
cows that are pregnant for a second time.\\
?\end{longtable} \par
  {\small\itshape [Note: Herd Numbers: When feed resources are getting short, one solution is to critically evaluate the members of the herd and eliminate those that are less useful. Sale or adjustment (relocating herd to non-affected pastures) are the two options available to reduce stock numbers.]} 
\caption{\label{tab_6}}\end{figure}
 			\footnote{© 2013 Global Journals Inc. (US)} 			\footnote{© 2013 Global Journals Inc. (US) Droughts in the Sudano-Sahelian Ecological Zone of Nigeria: Implications for Agriculture and Water Resources Development2 20} 			\footnote{Droughts in the Sudano-Sahelian Ecological Zone of Nigeria: Implications for Agriculture and Water Resources Development © 2013 Global Journals Inc. (US)} 		 		\backmatter  			  				\begin{bibitemlist}{1}
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\end{document}
