Research Article Volume 1 Issue 1
1Department of Forestry and Wildlife Management, Federal University of Agriculture, Abeokuta, Nigeria
2Department of Agricultural Economics and Farm Management, Federal University of Agriculture, Abeokuta, Nigeria
Correspondence: Idayat Ayoka Kareem, Department of Forestry and Wildlife Management, Federal University of Agriculture, Abeokuta, Nigeria
Received: July 15, 2017 | Published: August 17, 2017
Citation: Kareem IA, Adekunle MF, Adegbite DA, et al. Evaluation of selected agroforestry practices and farmers’ perceptions of climate change in Ogun state, Nigeria. Forest Res Eng Int J. 2017;1(1):9-16. DOI: 10.15406/freij.2017.01.00002
Climate change is currently the greatest environmental challenge of the 21st century. This study evaluated selected agroforestry practices and farmers’ perception of climate change in Ogun state. Multistage sampling technique was used to select 240 respondents involved in Agroforestry practices from four agricultural zones in Ogun State (Abeokuta, Ilaro, Ikenne and Ijebu-Ode). Data were collected with the aid of structured and pre-tested questionnaire administered interpersonally to the respondents. The data were analyzed using descriptive statistics, Likert scale and Chi-square analyses. Seven agroforestry practices were identified in the study area, out of which ‘scattered trees on farmland’ was predominantly practiced (77.5%) when prioritized. Likert scale analysis showed that (96.7%) agreed that there have been changes in climatic variables such as rainfall and temperature in the last five years. The Chi-square analysis revealed a significant association (p<0.05) between the perception of respondents’ need to mitigate the effect of climate change and their socio-economic variables such as age. The major problem associated with agroforestry practices was insufficient capital to run the farms.
Keywords: evaluation, climate change, perception, agroforestry, likert scale
Globally, the climate change problem is manifesting through, amongst others, unusually high temperatures, floods, droughts, unreliable water supplies, enhanced migration of flora and fauna, melting glaciers and decreasing mountain snow caps. For example, the mosquito belt has considerably expanded to higher elevations due to the temperature incline. The frequency and intensity of forest fires has increased due to abundance of fuel and droughts. The scenario is that, the interaction between climate change and national socio-economic policies will drastically reduce crop yields in the foreseeable future in most African countries. River flows and water stocks in reservoirs may decline considerably under a warmer climate while forest ecosystems are predicted to shift their ranges and lose some of their bio-diversity with consequential impoverishment in the natural heritage of the countries and a decline in tourism. The impacts of climate change, whether bio-physical, social or economic, are therefore a source of great concern to practically all African countries.
As more scientific information about global warming accumulates, climate change is emerging as perhaps the greatest environmental challenge of the 21st century. What is more, a virtual Pandora’s Box of major global threats, such as hunger, poverty, population growth, armed conflict, displacement, air pollution, soil degradation, desertification and deforestation are intricately intertwined with and all contribute to climate change, necessitating a comprehensive approach to a solution. Rising to this challenge will entail unprecedented cooperation among the world's nations and strong support from international organizations concerned. FAO is particularly implicated, as its domain encompasses major sources of greenhouse gases, major potential victims of climate change, and major mitigation potentials through carbon pools and "sinks".
Forests have four major roles in climate change. These are that they currently contribute about one-sixth of global carbon emissions when cleared, overused or degraded; they react sensitively to a changing climate; when managed sustainably, they produce wood fuels as a benign alternative to fossil fuels; they have the potential to absorb about one-tenth of global carbon emissions projected for the first half of this century into their biomass, soils and products and store them - in principle in perpetuity.1
Agroforestry – a dynamic, ecologically based natural resource management system that, through the integration of trees on farms and in agricultural landscape, diversifies and sustains production for increased social, economic and environmental benefits for land users at all levels – also contributes to climate change mitigation, since trees and shrubs absorb more carbon than crops.2 The IPCC reports that agroforestry has the potential to sequester nearly 600 Mt carbon dioxide a year by 2040.3 As a result of climate change, agriculture is being seriously threatened by rising temperatures, changes in rainfall patterns leading to drought in some regions; and flooding in other areas. Food security is an increasingly important issue for the rural communities who rely on agriculture to meet their subsistence needs. Adaptation to climate change is thus a major concern. Agro forestry practices for mitigating climate change aim at reducing deforestation and maintaining soil fertility.2 Agro forestry system of land management will allow for sustainable levels of food production while maintaining soil fertility, providing reasonable supplies of firewood, fodder for animals, traditional medicine, and ornamentals and protecting the soil and water catchments area.4 United Nations Development Program5 revealed that, the development of agriculture in Nigeria is not meeting the demand of its teeming-population, despite the country’s endowment with abundant and diversified range of natural, human and capital resources as well as oil revenue, it has remained one of the poorest countries in Africa.
The Objectives of the study are to:
The study area is Ogun State, otherwise known as the Gateway State. Ogun State was created out of the former Western State of Nigeria on February 3, 1976 and the State capital is Abeokuta. Ogun State is situated within the tropics, with a total land area of 16, 409.26sq.km, lies within latitude 6o20`and 7o58` in the tropics and longitude 2o40`and 4o35` East of the Greenwich Meridian, and has an estimated population of 3,728,098 people5 of which 67 percent are farmers.7 Ogun State shares boundaries with Lagos State in the south, Republic of Benin in the west, Ondo State in the East, Oyo and Osun States in the north.
This study was based on both primary and secondary data. The primary data were obtained through the administration of a structured questionnaire on the respondents. Information obtained through administration of questionnaire was supplemented with secondary data which were obtained from journals, monographs, Central Bank of Nigeria (CBN) and Food and Agricultural Organization Statistics (FAOSTAT).
A multistage Sampling technique was used to collect data for this study. Sixty (60) farmers were selected randomly from each of the four (4) agricultural zones (Abeokuta, Ilaro, Ikenne and Ijebu-ode) in the state which gave a total of two hundred and forty respondents (240) for the study. The structured questionnaire was used to elicit relevant data from the farmers. The schedule of sampling of respondents is presented in (Table 1).
Agroforestry practices |
Frequency * |
Percent |
Order of Priority |
Scattered trees on farmland |
186 |
77.5 |
1 |
Agrisilviculture |
165 |
68.7 |
2 |
Biomass Transfer |
90 |
37.5 |
3 |
Improved fallow |
83 |
34.6 |
4 |
Alley cropping/Hedgerows |
45 |
18.6 |
5 |
Home garden |
33 |
13.8 |
6 |
Live fencing |
12 |
5 |
7 |
Table 1 Prioritization of Agroforestry Practices in the Study Area
*Multiple responses
The stages of the sampling are as follows:
Multistage: Stages → Division of the zones into 4 to produce primary selection units
Stage 1: produce primary selection units → zones (4) – Abeokuta, Ilaro, Ikenne and Ijebu- ode
Stage 2: Zones→ Blocks2 blocks were purposively selected from each zone
Stage 3: Blocks → Cells 3 cells were purposively selected from each block
Stage 4: Simple Random Selection of 10 respondents from each cell which gave a total of 240 respondents
The Analysis of Variance (ANOVA): This is basically an arithmetic method for breaking down the total variation of the collected data into components representing the sources of variation recognized in the experiment. The sources of variation were determined by the criteria used to classify the observation, the possible interrelationships between these criteria, and experimental and / or sampling error in the data.
Chi-Square (X²) Test of Independence or Associations
The Chi-square analytical tool was used to test for independence or association using contingency tables. The Chi-square test helps in deciding whether to accept or reject the HO or HA hypothesis from a given set of observations.
Chi -square is calculated using the model:
Where X² = Chi - square
Σ = Symbol of sum
Oij = Observed cell frequencies
Eij = Expected cell frequencies
The degree of freedom (df) for X² test of this type is given thus:
df = (r - 1) (c - 1)
Where r is the number of rows in the contingency table, and c is the number of columns.
Hypothesis:
Ho: There is no significant difference in the perception of farmers to mitigate the effect of climate change in the study area
Ha: There is significant difference in the perception of farmers to mitigate the effect of climate change in the study area
Likert Scale Analysis: This was adopted to evaluate farmers’ perception of climate change in agroforestry practices in the study area. This is an ordered one dimensional scale from which respondents chooses one option that best aligns with their view out of five available options. A common one in this analysis was ascertained with which person may agree or disagree to varying degrees. For scoring, numbers (from 1-5) will be assigned to each option. Class boundaries of mean were also used to draw the inferences.8
The options with their grading or scoring number are: Strongly agree = 5; Agree = 4; Undecided = 3; Disagree = 2; and strongly disagree = 1. For inferences, class boundaries are:
< 1.0 < 1.5 = strongly disagree, > 1.5 < 2.5 = disagree
> 2.5 < 3.5 = undecided; > 3.5 < 4.5 = agree and
> 4.5 < 5.0 = strongly agree
Prioritization of Agroforestry Practices in the study area
Seven different agroforestry practices were identified in the study area (Table 1). Accordingly, Scattered trees on farmland was the most predominantly practiced involving 77.5% of the respondents; Agrisilviculture (which involved planting of trees with agronomic crop only) was the second in order of priority with 68.7% followed by Biomass Transfer (37.5%), and improved fallow (34.6%). Other agroforestry practices that were frequently practiced include alley cropping (18.6%); home garden (13.8%) and live fencing (5%).
Distribution of Respondents by Perception on Benefits of Agroforestry practices
The benefits of agroforestry practices across the zones were summarized in Table 1. Respondents across the zone agreed that Trees hinder the growth and yield of agronomic crops with a total mean of 4.317.
Perceptional statement |
Abeokuta |
Ijebu-ode |
Ilaro |
Ikenne |
Mean |
Inference |
Trees hinder the growth and yield of agronomic crops |
4.017 |
4.067 |
4.683 |
4.500 |
4.317 |
Agree |
Leguminous trees improve soil fertility |
4.167 |
3.900 |
4.000 |
4.367 |
4.108 |
Agree |
Leguminous trees/shrubs promote yield of crops and increase farmers’ income |
4.133 |
3.800 |
4.200 |
4.467 |
4.150 |
Agree |
Dung of animals serve as manure to crops |
3.733 |
3.400 |
3.733 |
3.983 |
3.713 |
Agree |
Trees prevent soil erosion |
4. 567 |
4.550 |
4.167 |
4.583 |
4.467 |
Agree |
Trees provide shade and protection against windbreaks |
4.517 |
4.583 |
4.317 |
4.550 |
4.492 |
Agree |
Trees, crops, animals provide food, timber fuelwood, fodder, hides, medicines for human benefits/ uses |
4.900 |
4.933 |
4.900 |
4.950 |
4.921 |
Strongly agree |
Returns from trees, crops with/ without animal put more money into farmers’ pocket to improve standard of living |
4.833 |
4.933 |
4.967 |
4.917 |
4.913 |
Strongly agree |
Table 2 Distribution of Respondents by Perception on Benefits of Agroforestry practices Zonal mean
Inferences:
< 1.0 < 1.5 = strongly disagree, > 1.5 < 2.5 = disagree
> 2.5 < 3.5 = undecided, > 3.5 < 4.5 = agree
> 4.5 < 5.0 = strongly agree
Also, majority of the agroforestry farmers across the zones agreed that leguminous trees improve soil fertility as shown in the total mean of 4.108. Furthermore, leguminous trees/shrubs promote yield of crops and increase farmers’ income; farmers agreed in all the zones with this statement indicated by total mean value of 4.150.
As regards whether the use of animals dung serve as manure to crops; some respondents were undecided about it while others agreed to it; and the total mean was 3.713 which implies that on the average, farmers agree that dung of animals serve as manure to crops.
Across the zones in the study area, it was also agreed that trees prevent soil erosion as indicated in the total mean value of 4.467 meaning that all respondents in the study area strongly agree to this fact.
Similarly, the perception of farmers as to whether ‘trees provide shade and protection against windbreaks’ was not different across the zones with the total mean value of 4.492 which implies that all respondents in the study area strongly agree to this fact.
In a similar development, most respondents strongly agree to the fact that ‘Trees agronomic crops, animals, all provide food, timber, fuel wood, fodder, hides, medicines for human benefits/uses’ as shown in the total mean value of 4.921.
Also, most respondents equally strongly agree that ‘Returns from trees, agronomic crops, with/without animals put more money into farmers’ pocket to improve standard of living’. This can be confirmed with the total mean of 4.913 which infers strongly agree to the fact.
Farmers’ Perception of changes in climatic variables
Farmers’ perception of changes in climatic variables across the zones in the study area was shown by Table 3. Respondents agree that ‘Temperature has been increasing in the last five years’ with total mean of 4.233 which implies that most respondents agreed with the statement.
Perceptional statement |
Abeokuta |
Ijebu-ode |
Ilaro |
Ikenne |
Mean |
Inference |
Temperature has been increasing in the last five years |
4.117 |
4.217 |
4.167 |
4.433 |
4.233 |
Agree |
There has been decrease in rain intensity in the last five years |
4.750 |
4.767 |
4.633 |
5.000 |
4.788 |
Strongly agree |
There has been decrease in rain duration |
4.733 |
4.867 |
4.750 |
4.533 |
4.721 |
Strongly agree |
Yield of crops affected (Decrease) |
4.783 |
4.933 |
4.867 |
5.000 |
4.896 |
Strongly agree |
Change in vegetation pattern |
3.583 |
4.183 |
3.967 |
4.450 |
4.046 |
Agree |
Pests effects |
3.533 |
3.767 |
3.567 |
3.917 |
3.696 |
Agree |
Table 3 Farmers’ Perception of changes in climatic variables Zonal mean
Inferences:
< 1.0 < 1.5 = strongly disagree, > 1.5 < 2.5 = disagree
> 2.5 < 3.5 = undecided, > 3.5 < 4.5 = agree
> 4.5 < 5.0 = strongly agree
Also in the same vein, most respondents strongly agree that ‘there has been decrease in rain intensity in the last five years’ as shown by a total mean of 4.788 which implies that most respondents strongly agree to the fact.
As to whether ‘there has been decrease in rain duration’ most respondents also strongly agree that it is so; as confirmed by the total mean value of 4.721. Also regarding whether yield of crops was affected (decrease), most respondents strongly agree that the yield of crops has been affected by the change in climatic variables mentioned above and this was shown in the total mean value of 4.896.
Also most respondents agree that there has been ‘change in vegetation pattern’ as shown by the total mean value of 4.046 meaning that most respondents also agree to this fact.
In the same vein, farmers’ agree that there has been ‘pest effect’ on yield of crops as a result of changes in climatic variables mentioned earlier. This was evident in the total mean values of 3.696 which imply that most respondents agree to this fact.
Therefore, it can be concluded that there has been changes in climatic variables in the last five years across the zones in the study area, since most farmers perceived it to be so.
Farmers’ Perceived causes of climate change
Farmers’ Perception on causes of Climate Change was summarized in Table 4. As one of the perceived causes of climate change, Modernization has been agreed upon by most respondents across the zones as indicated by the total mean values of 3.846 which imply that respondents in the study area agreed that modernization in terms tractorization, use of modernized farm equipment, deforestation and establishment of quarries within and around farm locations are causes of climate change.
Causes |
Abeokuta |
Ijebu-ode |
Ilaro |
Ikenne |
Mean |
Inference |
Modernization (Tractorization) |
3.750 |
3.400 |
4.133 |
4.100 |
3.846 |
Agree |
Population Increase |
3.583 |
3.683 |
3.033 |
3.867 |
3.542 |
Agree |
Divine |
4.950 |
4.950 |
4.817 |
5.000 |
4.929 |
strongly agree |
Slash & Burn system for Agriculture |
2.967 |
3.183 |
2.683 |
2.867 |
2.925 |
Undecided |
Firewood collection |
3.233 |
3.250 |
3.250 |
3.200 |
3.233 |
Undecided |
Other Perceived causes of climate change |
.167 |
.000 |
.000 |
.000 |
.042 |
strongly disagree |
Table 4 Farmers’ Perceived causes of climate change
Inferences:
< 1.0 < 1.5 = strongly disagree, > 1.5 < 2.5 = disagree
> 2.5 < 3.5 = undecided, > 3.5 < 4.5 = agree
> 4.5 < 5.0 = strongly agree
Also in a similar development, population increase was also agreed on by most respondents as a cause of climate change as shown by the total mean values of 3.542 which infer that most respondents agree to this fact.
Also, across the zones in the study area, most respondents strongly perceived that climate change was divinely retributed as confirmed by the total mean value of 4.929 which infer that most respondents agree that ‘Divine Retribution’ is a main cause of climate change in the study area.
In contrast, most farmers in the study area were undecided about whether slash and burn system of agriculture is also a cause of climate change. This was evident in the total mean values of 2.925 meaning that the respondents are undecided about it.
Also, most respondents were undecided as to whether firewood collection is a cause of climate change; as indicated by the total mean of 3.233 which implies that the respondents are undecided about this point.
As regards other perceived causes of climate change, respondents across all the zones strongly disagree that there were other measures that could cause climate change in the study area as indicated by the total mean value of 0.042 which implies that majority of the respondents strongly disagree to this fact.
Measures to mitigate the effect of climate change in the study area
The measures to mitigate the effect of climate change are summarized in Table 5. As part of measures to mitigate the effect of climate change, most of the agroforestry farmers were undecided as to whether late planting is a measure to mitigate the effect of climate change; this is reflected in the total mean value of 2.829 meaning undecided to the fact.
|
Abeokuta |
Ijebu- ode |
Ilaro |
Ikenne |
Mean |
Inference |
Late |
2.883 |
2.600 |
2.900 |
2.933 |
2.829 |
Undecided |
Reduced length |
4.417 |
4.133 |
4.350 |
4.217 |
4.279 |
Agree |
Involve in off-farm activities |
4.467 |
4. 267 |
4.233 |
4.467 |
4.358 |
Agree |
Change crop |
4.250 |
4.717 |
4.750 |
4.033 |
4.438 |
Agree |
Other measures |
.833 |
.083 |
.000 |
.000 |
.229 |
Strongly disagree |
Table 5 Farmers’ perceived measures to mitigate the effect of climate change Zonal mean
Inferences:
< 1.0 < 1.5 = strongly disagree, > 1.5 < 2.5 = disagree
> 2.5 < 3.5 = undecided, > 3.5 < 4.5 = agree
> 4.5 < 5.0 = strongly agree
Reduced length of crop cycle was another measure which most respondents across the zones strongly agree that could mitigate the effect of climate change as shown by the total mean of 4.279 which infer that most respondents strongly agree that reduced length of crop cycle can mitigate the effect of climate change across the zones.
Also, Involvement in off-farm activities was perceived by farmers as another measure to mitigate the effect of climate change; this was evident in the total mean value of 4.358 which implies that most respondent agree with this fact.
Also as part of measures to mitigate the effect of climate change, most of the respondents agree that changing the crop mix could assist; as indicated by the total mean value of 4.438 which implies that most respondents agree with this fact.
Other measures perceived by agroforestry farmers to mitigate the effect of climate change across the zones include use of irrigation techniques, early planting and monitoring of weather forecast. However, some of the respondents strongly disagree with this; as shown by the total mean value of 0.229 which implies strongly disagree to the statement.
The Chi-square results
The chi-square analysis on the benefits of agroforestry practices show that the test was significantly different from zero at 5% level of significance, since the chi-square calculated was greater than the tabulated (Table 6).
|
O |
E |
O-E |
(O-E)2 |
(O-E)2 / E |
Strongly Disagree |
2 |
96 |
-94 |
8836 |
92.04167 |
Disagree |
16 |
216 |
-200 |
40000 |
185.1852 |
Undecided |
151 |
456 |
-305 |
93025 |
204.0022 |
Agree |
821 |
576 |
245 |
60025 |
104.2101 |
Strongly Agree |
930 |
576 |
354 |
125316 |
217.5625 |
|
|
|
|
Chi-Square |
710.96 |
Table 6 Chi-square Analysis on Benefits of Agroforestry Practices Zonal mean
Degree of freedom = (r-1) (c-1) =7*4=28
Chi-square Cal = 710.96
Chi-square Obs/tab/stat (p<0.05) = 41.34
Also, the chi-square analysis on Farmers’ perceived changes and causes of climate change were significant (Table 7) (Table 8).
|
O |
E |
O-E |
(O-E)2 |
(O-E)2/E |
||
Strongly Disagree |
0 |
0 |
0 |
0 |
0 |
||
Disagree |
5 |
260 |
-255 |
65025 |
250.0962 |
||
Undecided |
122 |
260 |
-138 |
19044 |
73.24615 |
||
Agree |
778 |
580 |
198 |
39204 |
67.5931 |
||
Strongly Agree |
775 |
580 |
195 |
38025 |
65.56034 |
||
|
|
|
|
Chi-Square |
456.49 |
Table 7 Chi-square Analysis on Farmers’ Observed Changes in climatic variables
Degree of freedom=(r-1) (c-1)=6*4=24
Chi-square Cal=456.49
Chi-square Obs/tab/stat (p<0.05)=36.42
|
O |
E |
O-E |
(O-E)2 |
(O-E)2/E |
Strongly Disagree |
3 |
96 |
-93 |
8649 |
90.09375 |
Disagree |
212 |
276 |
-64 |
4096 |
14.84058 |
Undecided |
251 |
276 |
-25 |
625 |
2.264493 |
Agree |
416 |
276 |
140 |
19600 |
71.01449 |
Strongly Agree |
320 |
396 |
-76 |
5776 |
14.58586 |
|
|
|
|
Chi-Square |
192.79 |
Table 8 Chi-square Analysis on Farmers’ Perceived Causes of Climate Change
Degree of freedom = (r-1) (c-1) =5*4=20
Chi-square Cal = 192.79
Chi-square Obs/tab/stat (p<0.05) = 31.41
In the same vein, the chi-square analysis on the measures to mitigate the effect of climate change was also significant (Table 9).
|
O |
E |
O-E |
(O-E)2 |
(O-E)2/E |
|
Strongly Disagree |
1 |
48 |
-47 |
2209 |
46.02083 |
|
Disagree |
127 |
168 |
-41 |
1681 |
10.00595 |
|
Undecided |
139 |
248 |
-109 |
11881 |
47.90726 |
|
Agree |
320 |
248 |
72 |
5184 |
20.90323 |
|
Strongly Agree |
384 |
368 |
16 |
256 |
0.695652 |
|
|
|
|
|
Chi-Square |
125.53 |
Table 9 Chi-square Analysis on Measures to mitigate effect of climate change
Degree of freedom = (r-1) (c-1) =4*4=16
Chi-square Cal = 125.53
Chi-square Obs/tab/stat (p<0.05) = 26.29
Conclusively, it can be inferred that there is significant difference in the perception of farmers to mitigate the effect of climate change in the study area since chi-square calculated was greater than the tabulated in all instances; therefore, the null hypothesis Ho is rejected and Ha is accepted.
Problems Faced by Agroforestry Farmers in the study area
Figure 1 shows the Problems facing Agroforestry practices in the study area: The most prominent problem associated with agroforestry practices was insufficient capital or funds to run the farm with 100%, followed by Rodent Infestation with (99.6%), while Inadequate Rainfall had 99.2%. Other pressing problems include Pest Attack (97.5%) and Instability of market prices 93.3%.
On Farmers’ Perception of climate change, majority (97.5%) of the farmers agreed that temperature has been increasing in the last five years. This result agreed with9 that 89.5% of farmers perceived that long-term temperatures are increasing. Climate changes adversely affect the population and variety of plant and animal species in the forest, resulting in the scarcity or out-right extinction of many important plant and animal species.10 Some plant and animal genetic resources that could be used in producing new pharmaceuticals or traditional medicine are lost as a result of the destruction of forest cover by climate change.
The perception of farmers on decrease in rain intensity and rain duration shows that majority (99.2%) agreed that rain intensity and (99.6%) agreed that rain duration have decreased respectively. This finding is also in line with9 that 54.3% and 36.5% of the farmers perceived that there have been changes in timing of rains and decrease in rainfall pattern respectively in Ondo State. The results also agreed with11 findings that perception on climate change showed that a significant number of farmers believe that temperature has already increased and that rainfall pattern has declined for eleven African countries. Also, the result of12 revealed that larger percentage of the farmers observed the effect of change in rainfall on their crop produce13 reported that the effect of change in rainfall resulted in adjusting the timing of farm operations such as planting or sowing dates and treatments; the study shows that 89.89% of the respondents observed change in rainfall during the year while 64.04% of the respondents observed that change in rainfall usually occurred seasonally.
A better understanding of farmers’ perceptions regarding long-term climatic changes (such as rainfall, and temperature), current adaptation measures and their determinants will be important to inform policy for future successful adaptation of the agricultural and forestry sector.
This study found that agroforestry has socio-economic benefits in the study area, 89.6% of respondents agreed that leguminous trees/shrubs promote yield of crops and increase farmers’ income and all (100%) of the farmers agreed that trees prevent soil erosion, provide shade and protection against wind. Also, 98% of the farmers agreed that returns from trees, crops with or without animal put more money into farmers’ pocket to improve welfare. These findings are in line with the results of14 that the presence of trees on agricultural plots apart from allowing its various components to withstand shock and climate variability can also provide alternatives and additional source of income, thereby strengthening the socio-economic resilience of the people.15,16 Tree products are usually of more economic value than most crops such as sorghum and millet, and can therefore buffer against income risk of crop failure. Agroforestry as an integrated land use system has been reported to incorporate high value multi-purpose trees with soil/water conservation structures. The value produced in the form of food, fuel wood, forage, plant nutrients and biomass for mulch contribute to increased infiltration of rain water, and addition of organic matter and control of soil erosion.17
The effect of climate change on the farming activities in the study area were evident with low soil moisture content, slow growth rate of crops, increased growing season of crops and reduced yield from farm produce. These claims were confirmed by the findings of18 and9; they claimed that all these problems were as a result of the changes in timing of rainfall. It is no longer easy to predict the onset and cessation period of rains. The prediction of onset and cessation date of rains determines the cultural practice of farmers. Nevertheless, the respondents claimed that they have no choice than to adapt.
Majority (72.9%) of farmers’ perceived causes of climate change to be outcome of modernization and naturally changing times, 59.6% reported that it was due to high population growth, 97.9% agreed that it was a divine retribution and 42.9% attributed it to excessive firewood collection. This report agrees with the result of19 that majority (86%) of the farmers agreed that there have been profound changes in climatic effects in the last decade which have directly affected crop production practices.
The various measures perceived by agroforestry farmers to mitigate the effects of climate change as revealed in Tables 9 and 23 include planting of short rotation crop (96.6%) involvement in off-farm activities (82.9%) and changing of crop mix (86.3%). These findings were in line with the results of9 and were also confirmed by.20 They reported that crop diversification can serve as insurance against rainfall variability as different crops are affected differently by climate events. However, 22.5% of the farmers agreed that late planting can mitigate the effect of climate change and only 4.6% agreed that irrigation can be used as other measures to mitigate climate change. These adaptation / mitigation options used by the farmers in the study area can be classified into two main modifications in the production systems. The modifications are increase in diversification and escaping sensitive growth stages through crop management practices. This ensures that critical crop growth stages do not coincide with very harsh climatic conditions in the season. According to,21 increased diversification through engaging in production activities that are more drought- tolerant and or resistant to temperature stresses as well as activities that make efficient use and take full advantage of the prevailing water are important forms of insurance against rainfall variability. Growing a number of different crops on the same plot or in different plots reduces the risk of complete crop failure as different crops are affected differently by climate events.
The adaptation strategies farmers perceive as appropriate (as opposed to the strategies they actually carry out) include crop diversification; using different crop varieties; varying the planting and harvesting dates; increasing the use of irrigation; increasing the use of water and soil conservation techniques, shading and shelter; shortening the length of the growing season; and diversifying from farming to non–farming activities.
This study evaluated selected agroforestry practices and farmers’ perception of climate change in Ogun State. The findings of the research can be concluded thus: Seven agroforestry practices were identified in the study area; these include: scattered trees on farmland, agrisilviculture, biomass transfer, improved fallow, alley cropping, home garden and live fencing. A scattered tree on farmland was the most common agroforestry practice and this was followed by agrisilviculture. Most of the farmers in the study area agreed that there had been changes in climatic variables such as rainfall and temperature which in turn had affected the yield and productivity of the farmers. The most prominent problem that affected the farmers and agroforestry production in the study area was the lack of sufficient capital or funds to run the farm.
Based on the findings of this research, the following suggestions were recommended:
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Author declares that there is no conflict of interest.
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