1. Introduction
The essential signals for comprehending parts of rural regional systems are geographical trends and the factors that influence rural communities [
1,
2]. However, an empirical study will be conducted on the characteristics of rural communities concerning territorial restoration and equitable growth from an agricultural perspective. Employing data from satellite imagery and isolated communities, the form, physical aspects, and epidemiological aspects of rural neighborhoods have been analyzed with geospatial examination, slope traverses, and geospatial assessment factors [
3]. The primary locations in rural regions where residents live, work, and engage in social events are small towns, and their services are connected to the standard of living for countryside inhabitants and fulfill the primary purposes of rural life and output [
3]. The complete transformation of slanting cropland, and partly abandonment, are all of the ways whereby rural area layout shifts within the farming range in the study region, expressed in the distributions of the hilly rural setting, as shown at numerous stages of evolution by each transition mode due to natural occurrence [
3,
4]. Socioeconomic considerations play a crucial role in driving the transformation of the agricultural landscape pattern in a given location [
3,
4,
5]. This characteristic is defined as the shift from the conventional evenly distributed grain-planting landscape to rearing farm livestock for domestic and commercial purposes, which is the focus of the agricultural field known as animal husbandry. This study’s findings highlight how the nation’s countryside populations in rural areas have distinctively evolved their agricultural landscape patterns. This pattern has been threatened over the years by continuous rainwater runoffs and has caused topographic erosion that has washed away the topsoil of farm settlements into the Ogun River and the seasonal stream just behind the Alabata farm settlement.
The accumulation features of sustainable farm settlements are formed by the interplay of economic, social, and cultural variables during the establishment and growth of rural communities. Thus, the essential features and trajectory of the evolution of agricultural spaces can be reflected in the spatial distribution pattern and linkage with the natural and social settings of the region [
5]. To properly formulate physical growth plans and support suburban equitable growth, it is essential to investigate the distribution of assets and factors that drive rural settlements as well as optimize the spatial structure and scientific and rational layout [
5,
6]. This assessment has significance in terms of theory as well as the reality of built-up villages, specialized villages, and empty villages, which are just a few of the rebuilding forms that have emerged as a result of the explosive growth of Nigeria’s economy and the country’s growing cities. The challenges of dispersed and disorganized farming communities, thorough preparation, creating fresh towns and ignoring traditional ones, “ broadening while participating removal in there”, overstepping on cultivable land, and declining biodiversity have all gained prominence at the precise same time as the spatial distribution scale and structure of rural settlements, which have changed substantially [
7,
8]. Villages in rural areas will continue to be the primary dwelling type for farmers engaging in agricultural production and living operations, and the degree of expansion of cities has risen substantially [
7,
8,
9]. As a result, the Federal Government highlights that to achieve excellent growth and income, farming and the countryside should be given priority. Farmers, as well as agricultural and rural areas, represent basic problems linked with the national economy [
10]. The National Strategy Plan for Rural Redevelopment (2018–2022) calls for “establishing an exquisite landscape” and “maximizing the spatial arrangement of output, living, and ecology in rural regions” [
4,
7,
8,
9]. This offers a fresh opportunity for development that will enable the restoration of rural living and production areas as well as the attainment of excellent, economically viable growth [
10]. The basis of rural planning and rational layout, as well as the main topics of ongoing research in developing rural areas and the actualization of rural redevelopment strategies, constitute the scientific evaluation of choosing appropriate remote rural sites and the appropriate utilization of agricultural assets [
10,
11].
A Review of the Rural Agricultural Landscape and Rural Resilience
The physical development and control of rural natural environments have received substantial funding as well as personnel since the detailed alleviating hunger plan was put into place [
5,
6,
9,
10,
11]. Sustainable movement, a decrease in hardship, and displacement to other locations, including the completion of agricultural transportation projects, have all occurred. In impoverished rural regions, circumstances for development and living have substantially improved, and the spatial arrangement of rural communities has undergone major alteration [
10]. There is a need to assess whether rural communities in the Alabata regions are suitable for reflecting the current development situation in rural Ogun State in a way that is reasonable after addressing impoverished rural communities and neighborhood inequality in general. The goal of this study is to stimulate further research into an operational comprehension of the sustainable landscape in rural regions. The establishment of environmentally responsible scenery in remote regions; the restoration of rural landscapes; tourism and rural development; the built environment and health in rural areas; revitalizing traditional villages; and the ecology of biological diversity in rural locales are some of the topics covered by upcoming concepts and innovations. Moreover, the link underlying production and specific property evaluation characteristics has not been sufficiently measured or integrated into current area assessments. To standardize and enhance farmland evaluation approaches, it is expected that the outcome of this research will support guiding in-field methodology, legislative proposals, and the most efficient tactics. It is easy to observe that the versatility and geographical structure of rural communities are perennially popular subjects in rural geography research [
10,
11,
12]. The creation, as well as placement, of rural towns were given more consideration in the initial studies on the spatial pattern of rural communities. The land-use-status data and the social and economic data on rural settlements in the study area in November–December for the year 2023 were obtained through field visits and interviews. Additionally, the primary role concept was used to separate the kinds of land use within the countryside communities; within these divisions, a diverse land uses indicator was set up for the diversity of varied land use in the suburban communities; furthermore, a thorough investigation was conducted into the innate influences of the environment, society, economy and other factors on mixed land use [
1,
2,
3,
10,
11,
12]. The findings revealed that farm settlements expanded along floodplains and wetlands, while vacant land eroded and sterile farmland broadened at the upper highlands of the terrain, reducing agrarian farmlands. This process provides neighborhood surroundings and landscapes with special agricultural significance at the level of the rural communities.
2. Literature Review
The connection between the rural dwellers and the farmers with the underlying ecological, economic, social, and cultural contexts of the farm settlements shapes rural communities as centers of production and living [
13]. The arrangement of things in rural villages, as the primary hub for the rural populace, demonstrates the interplay involving people and the natural setting [
13]. Rural populations select appropriate sites for township building by taking into account the overall effect of natural endowments, convenient production, customs, historical roots, and other considerations [
13,
14]. The patterns of human–land interactions in various locations and phases may be seen via research on the magnitude, form, distribution, and structure of rural communities as well as their regional differentiation and pattern evolution [
15]. Due to the relatively fast growth of the villages caused by continuous industrialization and commercialization of the rural communities by the government, major shifts have occurred in the underlying setting, agricultural way of life, economic framework, employment in agriculture approach, and geographical layout [
15,
16]. Villages are currently complex geographical units, having several functions, such as production, dwelling, and an ecological function, rather than just the one dwelling purpose that serves as the primary spatial unit [
17]. The fields of agriculture, agronomy, biodiversity conservation, and ecology are where the idea of multifunctionality initially emerged and the multipurpose in agricultural areas refers to a broad variety of possible traits, mainly associated with land use and social aspects [
16,
17,
18].
The interconnectivity of agricultural landscapes and resilient rural settlements and their transportation networks are strongly linked and connected to human activities and land-use structure [
19].
Figure 1 illustrates the importance of investigating the plurality, complexity, and flexibility of traditional community roles for long-term growth, topographic changes, landscape assessment caused by degradation, natural disaster susceptibility, microclimatic abuses, soil erosion, and agricultural landscape restoration.
Viewed as a paradigm shift in food production predicated on the harmonious development of the economy, culture, people, and the landscape, natural resources are crucial for the financial and social development of a nation [
20]. Although studies on the sustainable growth of rural neighborhoods in hilly areas are scarce, agricultural land is a significant asset of the nation and its productive usage and healthy growth must receive emphasis and consideration [
21]. In nations with low or middle incomes today, almost 65% of the entire population resides in rural regions [
22]. Reaching all seventeen Sustainable Development Goals (SDGs) that have been endorsed by the United Nations requires substantial progress in agricultural growth [
2,
7,
8,
9,
18,
19,
20,
21]. However, the preservation of natural capital is being threatened by the present rural development plans, which puts the continued existence of rural areas in jeopardy [
17,
18,
19,
20,
21,
22].
The foundation of rural renewable energy initiatives has been thought to be the long-term cooperation of several parties to create a resilient environment within agricultural regions that supports rural production and life activities as well as the processes of nature [
22,
23,
24,
25]. In light of urban–rural integration, climate change, and carbon neutrality objectives, agricultural landscape sustainability in rural communities and countryside areas is becoming increasingly relegated and abandoned by stakeholders in the nation, making it necessary for multidisciplinary studies to collaborate to determine how to develop a healthy environment in these places [
26]. Agricultural regions still fall behind in achieving the goal of an ecological terrain in terms of scholarly comprehension, practical knowledge, and strategies [
25,
26,
27,
28,
29,
30]. The main claim is that as agricultural areas differ significantly in terms of their socioeconomic performance, terrain, weather, and level of advancement, and appropriate environmentally friendly remedies must be carefully considered [
31,
32,
33,
34,
35]. Nigerian land for agriculture is experiencing increasing strain to provide more food from a decreasing amount of land because more land is being put to waste. The idea involves strategic land acquisition and land reform, which aims to change the rural environment to one that is more agricultural [
35]. About 20% of Nigeria is thought to be suitable for dryland farming, and to ensure some degree of food security for the country in the future, it is crucial to preserve farmland and make efficient use of these limited resources [
35,
36,
37,
38,
39]. A crucial instrument for achieving this objective is the appraisal of Alabata agricultural land, considering that Nigerian farm-level evaluations, the level at which choices about the land release are decided, and the advancement of updated or new land appraisal procedures have halted in the recent past.
2.1. Rural Settlements and the Livability Assessment Index
The first priority will be to investigate the spatial differentiation and evolution of the magnitude, dispersion, and shape of rural villages [
40]. The subsequent part will cover the mechanisms and laws governing the growth and development of isolated rural communities as a result of various human, financial, and natural factors [
40,
41,
42,
43]. Additionally, it will cover the layout optimization and spatial reconstruction of rural settlements using a variety of techniques, taking into account the multifunctionality of rural areas. There have been varying rises in the community’s subject matter and habitation, and, in the opinion of several scholars, suburban communities perform several functions at the village level, including income generation from agriculture, commerce, housing, and recreation [
44]. Other researchers have separated the village’s multifunction into three categories: output, existence, and biological. These categories relied on the village’s physical component features and the usage of land configuration [
43,
45,
46,
47,
48,
49,
50].
Scholars have mostly examined the evolution with the diversification of rural community activities at a large scale via the lenses of the supply–demand equilibrium and urban–rural gradients derived from internal land-use structure [
44,
45,
46,
47,
51,
52,
53]. Concerns have also been raised regarding the rural residences’ production, and environmental roles, and a few academics have also focused on the connection connecting spatial pattern and variety; their research has revealed an affinity of sorts connecting the geographic spread of rural communities and their agricultural production task [
35,
36,
37,
38,
39,
54]. The way towns and villages expand explains the symbiotic connection between dwelling and industrialization at multiple spatial scales, and it has a significant influence on the biological environment and the relationship between rural housing and industrial growth [
54,
55,
56]. More significantly, compared to plain towns, the impact of environmental terrain on the size, dispersion, and composition of mountain villages is frequently larger. Topographic variables have a major role in shaping the development and evolution of the spatial pattern and multifunctionality of rural communities in the area by limiting human use and alteration of land assets in their natural state [
13,
18,
21,
45,
46,
47,
48,
49,
50,
51]. Multiple research investigations have proven that the geographic grading of mountains, hills, and plains has a substantial impact on the territorial geometry of agricultural areas [
35,
36,
37,
38,
39,
57].
There are notable horizontal grading features in the geographic distribution of rural communities in hilly terrain [
57]. The three main geographic factors—slope (gradient), landscape components (water, vegetation, and topography), and altitude (spot heights)—have a significant impact on the size, accessibility, and form of rural communities [
57,
58]. There are notable directivities in the geographical arrangement of rural communities, including low-lying land with modest relief amplitude, moderate slope, and a low terrain niche index. Therefore, while examining the spatial structure and multifunction of rural communities in mountainous areas, it is very important to take the important topographic elements into account [
59,
60,
61]. This article examines the vulnerability of rural communities from the standpoint of geological disasters and examines the mechanisms through which elements associated with geological disasters affect the social economy, production, quality of life, and environmental conditions of towns and villages.
Research has examined how earthquakes and other natural disasters affect the social vulnerability of rural communities in Alabata. Additionally, an assessment methodology for the social vulnerability of rural communities in geological disaster-prone areas has been developed. The majority of the environmental parameters related to geological disasters are included by this type of study in the vulnerability evaluation index system; however, regional communities’ spatial and socioeconomic aspects are not included. Simultaneously, this type of vulnerability study on rural communities assesses the resilience of rural communities against social and economic collapse following geological catastrophes, but it ignores the resilience of the physical environment surrounding rural settlements against natural hazards and the physical layout of rural communities and its social and economic component resilience to emergencies.
The objective of this research is to investigate specific features in agricultural communities that can withstand the damaging effects of environmental disasters. This study also elucidates the indicators for evaluating the geographical fragility of these rural agricultural communities while suggesting ways to lessen the negative impacts of geological catastrophes on agricultural settlements.
2.2. Agricultural Landscapes Spatial Susceptibility
The current study aims to offer solutions for reducing the spatial susceptibility of villages from the perspective of the natural environment. A GPS-based ecosystem suggests methods to reduce the spatial vulnerability of rural communities. To modify the anticipated storms of these sizable, geographically susceptible farming populations, a mechanism for arriving at observation with real-time input is set up to evaluate precipitation through regions with high vulnerability [
62,
63,
64]. This system is then combined with artificial-rainfall-reduction technological devices to protect intact hydrological routes and stream connections, control the originating location of rainstorms, and restore forests and woods to reduce the probability of a large amount of rainwater falling in a short amount of time [
23,
24,
25,
26,
27,
65].
Reducing the pace of eroding soil in areas of greatest risk is another important tactic for reducing the spatial sensitivity of rural populations. Creating hills and canals, growing new vegetation, and reducing or stopping water flow are all part of this process, and keeping the soil wet will strengthen it and make it more resistant to erosion [
64,
65,
66]. Wood collected for the conservation of the environment will control and monitor water flow, reducing soil and water loss. In the hilly and rocky regions of Ogun State’s rural settlements, strategically positioned waterways, and channelization to reduce water-induced degradation are additional tactics that can decrease the pace of soil degradation. The techniques of leveling the terrain and reinforcing geotechnical structures can also be used to eliminate concealed geophysical catastrophe sites [
66,
67]. Smart devices are used to continuously track the threat of tucked scientific tragedy points in real time in the areas where engineering measures are unable to eliminate them. This allows for the prompt reporting of disasters to the appropriate departments and the mitigation of buried geological history disaster points, which lessens the impact and the spatial vulnerability of rural settlements. Farm management officials should aim to minimize probable geological hazards when choosing a location for rural communities in high-vulnerability zones, and farming operations should not be established beneath slopes with instability [
67,
68].
In Alabata’s mountainous regions, rural villages should be situated in a level space amongst mountain ranges, appropriately separated from the valley of the river, and away from steep inclines and hillsides. Rural communities may manage their border shape by being positioned in a way that minimizes their territorial susceptibility and protects them from the negative effects of catastrophes of nature on their geospatial integrity and habitation viability [
68]. To the extent that it is achievable, the community-generating boundaries of rural communities should be laid out linearly under the assumption that there will be enough land use. This will minimize bends, and that could decrease the overall amount of small, enclosed spaces in the settlements and, ultimately, lower the rescue-effort dead point in the event of a physical tragedy. This study offers strong evidence for measuring the link between the terrain of the plain area and the geographic distribution of farmland communities, as well as for enhancing agricultural landscapes in rural communities.
3. Methodology
Alabata is a typical ecologically vulnerable location, situated in the southwest mountainous region of Ogun State. It has a limited carrying capacity for land, a tiny biological environment, poorly coordinated social and economic development, and a pronounced conflict between the people and land. The present investigation looks at the relationship between the distribution characteristics of rural settlements and various environmental factors based on an analysis of the spatial distribution characteristics of rural settlements, taking into consideration the spatial heterogeneity of geographical factors and the relationships between influencing factors. A district in the Odeda Local Government Area (LGA) is situated at the geographical coordinates of 7.2286° N, 3.4529° E, with a total area of 20.73 km
2 (8.00 mi
2) and a total perimeter distance of 20.02 km (12.44 mi). It is predominantly a tropical savanna with dense tropical forests, jungles, wetlands, and grassy fields common in regions. The study area is approximately 25.50 km (15.84 mi) from the Lafenwa district and Olumo Rock tourist centre, which are located at the city center of Abeokuta (see
Figure 2a,b) [
69].
This study employed a qualitative and geospatial analysis approach to evaluate the correlation between the distribution characteristics of rural settlements and different environmental factors. Additionally, a ranking scheme was developed to assess the suitability of farm colonies and identify critical issues that must be resolved quickly to promote high-quality development and rural revitalization in Ogun State. The study’s findings will serve as a guide for the restoration and optimization of rural settlements’ spatial layout. The following research questions were used: How do various ecological elements interact with Ogun State’s rural settlements in terms of their geographical distribution? What is an objective, analytical way to assess the appropriateness of current agricultural villages?
The study provides an important means of promoting the intensive and efficient use of land resources and stimulating endogenous development power in rural areas. The land-use-status data and the social and economic data on rural settlements in the study area in November–December for the year 2023 were obtained through field visits and interviews. Additionally, the primary role concept was used to separate the kinds of land use within the countryside communities; in terms of these divisions, a land diverse use indicator was set up for the diversity of varied land use in the suburban communities; furthermore, a thorough investigation was conducted into the influence of human anthropogenic activities on the landscapes influencing the environment, society, culture, economy, and the people using the land (rural landscape usability).
Figure 3a,b and
Figure 4 show the location of Alabata, with its uneven topography, sloping hills, and intersecting valleys, which represent a significant portion of Ogun State’s mountainous hinterland. Topography largely limits the spatial arrangement and multifunction of rural communities. Studying the spatial pattern and multifunction of rural communities based on topographic gradients is crucial to satisfy the demands of the new era’s change in human–land connections and rural rehabilitation in impoverished mountainous terrain. Thus, this study’s goals are to split topographic gradients scientifically and provide a novel technique for geographical slope analysis appropriate for the study area.
The evaluation showed that the spatial arrangement and versatility of villages are differentiated by topographic gradients; it is important to measure and debate the trade-offs and synergy linkages between the spatial pattern and multifunction of rural settlements. For academics studying rural geography and land management, this work theoretically offered comparatively novel approaches, concepts, and viewpoints. When it comes to using land resources wisely, creating plans for the expansion of settlements and buildings, enhancing the quality of life in rural areas, maximizing geographical patterns, and encouraging rural regeneration are crucial throughout real life. This methodology adopted in this study follows a step-by-step process in the data sampling (defined 36 ecological sample frames) collection, analysis, and presentation as stated in the data collection sub-section.
3.1. Study Area and Sampling Techniques
In this work, the rural settlements of Alabata were considered the subject of research. The level of sustainable development of the rural settlements and the influencing factors related to both the natural environment and socioeconomic levels were qualitatively analyzed using a local spatial correlations technique. A review of the literature revealed some of the established rural settlement sustainable development strategies that could be localized in developing countries with similar microclimatic conditions like Nigeria. In terms of overall sustainability, the rural settlements in the Alabata farm settlement are poorly demonstrating a medium-to-low degree of sustainable development. The agricultural village has a clear spatial differential of ecologically sound development levels, with high-level communities mostly being located in the vicinity of metropolitan regions.
Villages with poor equitable growth stages, ranging on the other hand, are dispersed. The degree of green growth has an opposite spatial linkage with slope and a beneficial regional correlation with the GDP, arable land, elevation, water systems, roads, normalized difference vegetation index (NDVI), and elevation. The amount of arable land and elevation have a greater impact on how sustainable rural communities are. The closely related habitation kinds are mostly grouped in dispersion, whereas the negatively correlated settlement types are scattered, per the results of the localized inquiry.
Following the selection of the farm settlement within the total sampled frame area of 1.50 km
2 (16,178,290.39 ft
2), it covered a total perimeter distance of 5.11 km (3.18 mi). The sample frame was divided into 6 × 6 with a total of 36 frames with similar ecological terrain and soil types that fell into either of the two identified soil types: 1 and 2 (see
Figure 5a,b). As is highlighted in
Figure 1, the study identified the various site conditions and classified them into five categories: existing topography, type of vegetation, existing land use, geological disaster sites, and soil erosion impact on the farm settlement.
Table 1 revealed that “existing topography and accessibility” to the farm settlement plays a significant role in harnessing the product from the farm; however, the access is accessible in the dry season of August–March but impassable during the rain downpours, hence the “critical impact” rating. The “types of soil and vegetation; existing land use and land cover; soil erosion impact and dilapidation” all have an “extreme impact” on the terrain and they affect the farm settlement significantly. However, the geological conditions of the site have a lot of ecological benefits because of its natural state and a few threats to the farm products; thereby, it is rated as having either moderate or fair impacts on the farm by the onsite assessment of this study.
3.2. Data Collection
The study involved the completion of a questionnaire onsite using three major criteria. Only 23 farmers responded positively to the few questions and they are represented in
Table 2,
Table 3 and
Table 4. They were the farmers who were either living on the farm or working as hired laborers on-site at the time of the visit. They are mainly men (18) and only 5 women were seen working on the farm, giving a total of 23 respondents who were assessed. Some of the questions asked ranged from the years of experience as farmers and their level of productivity.
Only three of them stand out and they are further summarized in this study; Question 1: What is your level of awareness on the impact of rainwater on the terrain and topographical erosion on the farm settlement? Question 2: What is your understanding of the current state and conditions of the farm settlements? The third was Question 3: How has the impact of seasonal erosion and rainwater runoffs affected your farm product productivity and farmstead settlements?
The result includes several cultivation seasons, in conjunction with productivity leveling techniques. Important land assessment characteristics, such as the gradient, appropriate anchoring width and depth, surface roughness, texture, category, dampness constraints, and consistency, have been looked at to pinpoint agricultural yield determinants. Rural questionnaires, computerized topographical analyses, organic matter spectroscopic imaging, and farmland evaluation approaches were utilized to compile various characteristics to enhance output categorization. In light of such features, a couple of agriculture-related businesses within a rural community created several innovative methods that used artificial intelligence, and another depending on the ecological assessment principles. The Ogun State farm settlements and the impact were mostly felt in the farmer settlements around the Ogun River channels and seasonal streams like the Alabata village farm settlement.
3.3. Opinions, Perceptions, and Analysis of the Farmers’ Responses
Question 1: What is your level of awareness of the impact of rainwater on the terrain and topographical erosion on the farm settlement?
In this section of the survey, participants were asked to rank on a scale of 1 to 5 how aware they were of the effects of rainfall on the land, topographical erosion on farm settlements, and the likelihood of continuing the agribusiness. To prepare respondents for more inquiries, this inquiry sought to determine the extent of respondents’ awareness of the hazards posed by erosion on the terrain.
Table 2 highlighted the findings and showed that a resounding 34.78% of respondents had a ‘very high’ degree of danger awareness. Notably, 21.74% showed ‘high’ and ‘mild’ degrees of awareness, demonstrating their ability to provide thoughtful assessments and an understanding of the hazard.
Subsequent investigation showed that the ‘extremely/very low’ percentage was around 8.69%, while the ‘low’ percentage was approximately 13.04%, followed by ‘mild’ (21.74%). On the other hand, more than half were aware of the extent of the agricultural settlement’s deterioration brought on by occasional weathering and periodic precipitation (
Table 2).
Ultimately, the application of this instrument helps the farmers and rural settlers assist in the sustenance of the farm settlement for sustainable farming activities. They can assist the land assessor to better classify the production potential of the land, as well as the decision-making authority to justify preserving more land for agricultural purposes.
Question 2: What is your understanding of the current state and conditions of the farm settlements?
After determining that most of the participants were somewhat familiar with the farm settlement terrain, the current level of dilapidation, and abandonments, the next question asked was whether they were aware of its purpose and aims. The following is some of the feedback that was received from the 23 respondents, who were mostly unskilled farm workers.
Table 3 ranked the 1st–5th positions in line with the responses and according to the firsthand experiences, impacts, and knowledge of the respondents from the lowest to the most extreme impacts.
Question 3: How has the impact of seasonal erosion and rainwater runoffs affected your farm product productivity and farmstead settlements?
The information was collected from the rural dwellers and their experiences with terrain degradation in a farm settlement. Some of the responses given have been outlined and the remarks from on-site interviews with the farmers’ inventories and assessment of the sites.
Table 4 somewhat aligns with
Table 1 in the ranking of **** (extreme impact), *** (critical impact), ** (moderate impact), * (fair impact), and 0 (no impact) but this time was taken as face-to-face feedback and comments considering their daily life experiences. It further shows some of the challenges being faced by the local farmers that reduce their productivity and sometimes displace them from their original habitat. Most of the time, this renders large areas of the farm settlements degraded and sterile due to the washing off of the fertile topsoil.
An overwhelming 65.21% of respondents gave the most regrettable information about how the impact of erosion on the terrain has affected their farming activities (see
Table 4). Notably, 17.39% expressed the critical impact of the natural occurrences on the farm, how deplorable it has been, and how it has worsened in the past ten years. Only 4.35% of the respondents, which is a small fraction of the farmers, expressed their ignorance of the threats that erosion has caused the village in the past years.
However, this set of people could be heard saying that they were new in the village and that they were not in the best position to give accurate reports of the events on the farm, only having undertaken their primary activities on the farmland in the previous year (2023).
Figure 6 shows the condition of the ground surface from the onsite data collected in the year 2023.
While establishing both the terrain slope and contour of the farm settlement, it was divided into different sample frames showing predominantly two soil types; the surface could be seen flowing towards the adjoining seasonal streams and the Ogun River waterway (see
Figure 7). Within the 36 ecological sampled frames,
Figure 7 (below) shows the grid info report and spot heights of the terrain in a regular sequence, as determined by the Surfer 27.3 software during computation (see
Figure 7 below).
Figure 6,
Figure 7 and
Figure 8 show that the gentle slope could be allowing the sharp fall of rainwater runoff. This has a hazardous impact on the farm and the farmhouses are entirely vulnerable. The velocity of the water runoff is represented using two types of directional arrows (short and long arrows), as shown in
Figure 8. The short arrows represent slow runoffs, while the long arrows represent fast water runoffs at the slopy gradients of the terrain.
Table 1,
Table 2,
Table 3 and
Table 4 have identified that some of these vulnerabilities are extremely low and high, as the case may be, depending on the predominant current situation that was captured during physical assessment and inquiries (interviews). Furthermore, the study’s qualitative data reveals an inverse sentiment among certain respondents who, although acknowledging the natural occurrence and disintegration of the terrain, claimed never to have encountered it or known anything about it. These respondents will not be taken into consideration. This calls for a more thorough qualitative analysis of the effects of erosion and village spheres, indicating that characteristics such as exposure to individuals and knowledge emphasis may influence variability. The disparity between awareness and knowledge highlights the need for Ogun State and its neighboring states to promote more inclusive discussion to enable constructive conversations with educated opinions.
4. Results, Findings, and Discussion
On the other hand, the geographical distribution characteristics of the agricultural production and the value of the agroforestry farm products are not commensurate with the population density. There are notable regional variations in how geographical variables influence the diversity of settlement features. Furthermore, the distribution of cultivated land and other natural biological features like elevation and landform have a significant impact on the spatial pattern of the studied region. The results of the study can help rural authorities and town planners create viable rural communities. The geographical layout of rural communities in Nigeria and throughout Sub-Saharan Africa has undergone substantial change as a result of the acceleration of urbanization and the execution of the rural regeneration plan, which cannot occur unless these remote communities are thriving, sustainable, and resilient.
These data collected on-site quantitatively revealed whether building rural villages in mountainous regions is a suitable way to end hunger and poverty, and hasten the pace of new urbanization. A suitability rating simulation was adopted using both ArcGIS 10.8 and Surfer 27.3 to calculate the surface area and volume of the ground surface degraded and exposed to harsh weather conditions due to both natural and man-made anthropogenic activities causing runoffs and continuous soil erosion. This was carried out to make the evaluation results more reasonable and scientific.
This has had an impact on agricultural output, forcing some farmers to move and leave their farms to resolve the arbitrary priority allocation issue and take into account the interactions between the affecting elements. The majority of rural settlement areas are found in river valleys and steep, low-lying higher elevations, with two descending zones of rather soft terrain separating them in the center. The neighboring livable regions are mostly home to the somewhat appropriate rural villages. This research might improve the methods for evaluating the viability of rural residential areas and serve as a guide for the development and rebuilding of rural agricultural habitation locales in mountainous locations. It is also applicable in various circumstances.
Grid Contour Volume and Area Report
This study used a grid input of a minimum contour of 65 m with a maximum contour of 130 m and a contour interval of 5 m. The grid volume computations are revealed in the table below. The upper surface uses 50 rows × 100 columns grid sizes with average reports, as stated in
Table 5 below.
This study calculated the volume and surface area of the terrain contour value, the surface above the contour, and the surface area below the contour, which are the study indicators for rural resilience and settlements in the farmland ecological niche in
Table 6. Due to their provision of living and working, and the natural settings for rural inhabitants, rural communities have played an essential role in the development of humanity. The geographical layout change in the countryside especially reflects a progressive optimization of their cohabitation with the socioeconomic system, natural environment, and other surrounding variables. The study’s rural communities and the variations in the surrounding environment influenced the degree of mixed land use as well as the fundamental patterns of its spatial differentiation and deterioration, according to the findings. Significant rural influence elements comprised social and monetary elements, including the average low-income family and the number of residents in each rural family unit. Through onsite data collection and evaluation, as represented in
Table 7 (also see
Appendix A for details), the rate of ground-surface erosion, the amount of geophysical catastrophe concealed threat, and environmental factors are shown to be the primary factors determining the temporal susceptibility of villages in mountainous parts of Alabata. Increased average annual rainfall correlates with increased geographical vulnerability in rural communities, according to the statistical climatic component statistics, as a percentage of yearly rainwater to inhabitants.
Earth erosion is the subsequent most significant impacting element; depending on how acute the amount of soil deterioration is, with greater geographic susceptibility in the regions and communities. Natural risks are an extra important contributing element; the deeper the likelihood of hazards associated with geology, the greater the geographical susceptibility.
While demographic and socioeconomic factors exert essentially little effect on the geographical risk of agricultural villages, some environmental and physical characteristics related to land use seem to have some effect. The distributional characteristics that influence the physical vulnerability of isolated villages in the mountainous areas of Ogun State are delineated, as these communities become progressively geographically susceptible concerning the neighboring cities and regions next to the tectonic fracture zone.
Additionally, there is no variation across selected communities when it comes to the topographical susceptibility of agricultural communities on steep terrain; it is more prevalent in some parts than others. The research allows the suggestion of methods and ideas to lessen the overall exposure of farming neighborhoods, on the previously mentioned results. It also provides neighborhood planning agencies with data assistance and sources of information for their efforts in remote farm settlements.
5. Conclusions
The assessment created an approach for evaluating the geographical fragility and susceptibility of villages in the rolling hills of Ogun State by gathering information on ecological geographic parameters, the physical form, and social and economic factors of these villages. According to the studies, eroded land, possible geophysical catastrophes, and ecology are the primary elements influencing the geographical vulnerabilities of villages. Simultaneously, from the onsite physical assessment and geospatial analysis conducted on the site, it could be inferred that the magnitude of the consequences measured and the results of geographical information associated with rural villages such as the surrounding area disintegration are caused by continuous erosion. The geometry perimeter ranking of farmland impacts the geographical exposure of those villages to some extent, albeit not to the same extent as the effects of weather, damage to the soil, possible disasters, and surface slopes. Analyzing the agricultural landscape patterns in mountainous areas is critical to clarify the dynamic changes and development direction of agricultural landscapes. This also plays a significant role in the rational planning and management of agricultural land. The study provides an important means of promoting the intensive and efficient use of land resources and stimulating endogenous development power in rural areas.
Ultimately, the geographical spread pattern of the geospatial susceptibility, fragility, and exposure of agricultural settlements in hilly regions was discovered by merging the location-based knowledge with the geographical fragility details of this investigation. Severe location-based-exposure farms tend to be close to the Abeokuta township. Simultaneously, the spatially vulnerable rural settlement district and county distributions frequently align with the approximate site of a possible natural disaster. Given that the Alabata communities are situated in the highlands and mountainous regions within the Southwestern region of Nigeria. The landscape arrangement and rural settlements are relatively scattered and isolated and the less developed areas of the region are along the Ogun River.
The variables influencing the susceptibility of Alabata’s hilly regions, which in turn contribute to the key variables influencing the overall susceptibility of farmland villages across the world, are the severity of eroded soil, the possibility of geologic risks, and the environmental conditions. The risk of natural catastrophic occurrences occurring is significantly influenced by rainfall in climatic conditions. A short period of rainfall will result in an abrupt rise in aquifers, improve the total mass of the earth and its mineral layers, and decrease the contact that occurs between rock and dirt fragments. These factors will increase the likelihood of flooding and erosion, and these will negatively impact the rural region’s geographical exposure and damage the area around villages.
The amount of soil breakdown increases the separation across fragments in the rock-based soil layer, and these decrease the rock debris layer’s physical features and enhance unsteadiness. This increases the likelihood of natural disasters in rural settlements and increases their spatial vulnerability. In the past, there have been significant geological catastrophes in the region due to the presence of concealed geological dangers in rural settlements. This region has all the prerequisites for geological disasters in terms of unforeseen circumstances, and as the likelihood of geophysical hazards in coming years increases, it also increases agricultural spatiotemporal fragility.
One of the main worries associated with ecological and landscape catastrophes as identified in this study is the seasonal irregularity and periodic happenings of the disasters. Following the tremors, several subsequent natural events might occur as a result of the outermost areas and slopes being destroyed. The massive amount of topsoil that was released, for example, could cause surface fissures that could eventually lead to disintegration and mudslides, a blocked pond from the soil slipping into the river, and catastrophic events on both upward and downward slopes. Unpredictably fractured terrain and flooding build-up could also cause these problems at a later date.
To sum up, the data collected demonstrate that promoting heterogeneous adaptive land use is a crucial strategy for enhancing village revival. The rural-land-use pattern and growth might be included in the village management strategic plan and the agricultural-land-use productivity, modifying site usage designed and enforced to local conditions, and fostering the seamless growth of all sorts of agribusinesses in agricultural regions. Furthermore, it will increase the effectiveness with which local agricultural infrastructure and publicly owned local assets exist and are guided by rational thought and inquiry, to form sustainable rural agribusiness and agroforestry productivity.
Author Contributions
J.A.A. prepared the introduction, the literature review, conceptualization, methodology resources, data curation, visualization, and writing of the manuscript. J.A.A. writing—original draft preparation analyzed the collected data, prepared the maps, investigation, software, formal analysis, and analyzed all geospatial information. Y.L., X.T., and Y.R. supervision writing—review and editing, validation, reviewed, and revised the manuscript to this present form. X.T. provided funding acquisition. J.A.A., and Y.R. project administration. J.A.A., Y.L., X.T., and Y.R. have read and agreed to the submitted version of the manuscript. All authors contributed to critically fine-tuning the paper. All authors have read and agreed to the published version of the manuscript.
Funding
Humanities and Social Sciences Fund of the Ministry of Education [Grant Numbers 22YJA760075 and 23YJCZH177].
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Acknowledgments
The authors acknowledge first, the MDPI Land Editorial Team for their review of this article. Second, the College of Landscape Architecture, Nanjing Forestry University, China for funding and technical inputs. Third and finally, the Department of Architecture University of Lagos, Lagos, Nigeria for technical supports.
Conflicts of Interest
The authors declare no conflicts of interest.
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Figure 1.
Study indicators for rural resilience and settlements in farmland ecological niche.
Figure 1.
Study indicators for rural resilience and settlements in farmland ecological niche.
Figure 2.
(a) Map of Nigeria, Ogun State and the subdivisions of the Local Government Areas; (b) Map showing Alabata village community within the Odeda LGA. Source: Google Maps, 2024.
Figure 2.
(a) Map of Nigeria, Ogun State and the subdivisions of the Local Government Areas; (b) Map showing Alabata village community within the Odeda LGA. Source: Google Maps, 2024.
Figure 3.
(a) Map showing the position of Alabata village, which is about 25.50 km from the city center of Abeokuta; (b) Map showing the Alabata village community and the surrounding villages. Source: Google Maps, 2024.
Figure 3.
(a) Map showing the position of Alabata village, which is about 25.50 km from the city center of Abeokuta; (b) Map showing the Alabata village community and the surrounding villages. Source: Google Maps, 2024.
Figure 4.
(a–c) Maps showing the selected farm settlement within the Alabata village. Source: Google Maps, 2024.
Figure 4.
(a–c) Maps showing the selected farm settlement within the Alabata village. Source: Google Maps, 2024.
Figure 5.
(a) The selected farm settlement is divided into different sample frames and two different locations of the soil types (1 and 2); (b) the selected farm settlement shows the perimeter boundary of the adjoining seasonal streams and the Ogun River.
Figure 5.
(a) The selected farm settlement is divided into different sample frames and two different locations of the soil types (1 and 2); (b) the selected farm settlement shows the perimeter boundary of the adjoining seasonal streams and the Ogun River.
Figure 6.
The 2D and 3D Digital Elevation Model (DEM) of the land shows the existing landform.
Figure 6.
The 2D and 3D Digital Elevation Model (DEM) of the land shows the existing landform.
Figure 7.
Terrain slope and contour (above). The grid info report and spot heights of the terrain (below).
Figure 7.
Terrain slope and contour (above). The grid info report and spot heights of the terrain (below).
Figure 8.
Drainage and hydrology map showing the direction of rainwater runoff.
Figure 8.
Drainage and hydrology map showing the direction of rainwater runoff.
Table 1.
Table showing the impact of rainwater and terrain slope on the existing site conditions and assessment of the farm settlement.
Table 1.
Table showing the impact of rainwater and terrain slope on the existing site conditions and assessment of the farm settlement.
Existing Topography and Accessibility |
---|
| The farm settlement is accessible and the roads are untarred and inaccessible when it rains. The signposts are conspicuously visible for prompt accessibility. | ** |
| The connecting road through the community to the farm site is under study. Muddy and slippery roads are inaccessible when it rains. | *** |
| The node where three roads are lined is still untarred and inaccessible after a few downpours. | *** |
Types of Soil and Vegetation |
| Surface roughness, texture, category, dampness constraints, and consistency. This area has soil type 1. | **** |
| Surface roughness, texture, dampness constraints, and consistency. This area has soil types 1 and 2. | **** |
| Surface roughness, texture, dampness constraints, and consistency; it is muddy toward the lower region. This area has soil type 2. | **** |
Existing Land Use and Land Cover |
| In November–December 2023 during the site visit. With the low volume of rainfall during this period. Some trees could be seen to have already fallen. | **** |
| Soil conditions are to be seen without vegetation as farmers are preparing for the next planting season of January 2024. | **** |
| A few farmers could be seen preparing the site by cutting down more trees and channeling the terrain to divert the direction of rainwater and runoff. | **** |
Geological Conditions of the Site |
| Rocky area around the Ogun River waterway and wetlands. The area is not suitable for farming activities but a safe zone for farmers who want to relax after a long day of work. | ** |
| Turbid water and sediments due to limited rainfall during the site visit; usually the rocky pieces are always submerged in the river but they are now visible because of the low water level. | ** |
| The tree could be seen between the buffer of the river and the farm. There are a lot of monkeys and birds hopping around the cool ecological zone. | * |
| A narrow pathway that connects the Ogun River. The river cascades into the footpaths whenever the water table goes up. It makes the water a threat to the farm due to the influx of wild reptiles (snakes). | ** |
Soil Erosion Impact and Dilapidation |
| The continuous dilapidation of the piggery has caused the death of a lot of pigs in recent times due to disease attacking the swine. It has also led to non-usage and abandonment. | **** |
| The ceiling and part of the walls of the poultry area and fishery pull out and the farmhouse is no longer conducive for the chicks, chicken, hens, and fish. | **** |
| Open storehouse where harvested products are kept before being transported to the city. No longer habitable due to abandonment and erosion that has washed off part of the foundation. | **** |
Table 2.
Level of awareness of the impact of rainwater on terrain and topographical erosion.
Table 2.
Level of awareness of the impact of rainwater on terrain and topographical erosion.
Scale | Farmers’ Awareness | Frequency | Percentage |
---|
1 | Very Low | 2 | 8.69% |
2 | Low | 3 | 13.04% |
3 | Mild | 5 | 21.74% |
4 | High | 5 | 21.74% |
5 | Very High | 8 | 34.79% |
| | 23 | 100% |
Table 3.
Farmer’s Perception Level of Dilapidation and Abandonments.
Table 3.
Farmer’s Perception Level of Dilapidation and Abandonments.
Farmers’ Perception Statements | Mean (1–5) | Percentage Average (%) | Rank |
---|
“Is the farm settlement and its existing topography and accessibility a major factor for rural resilience and settlements in farmland ecological niche” | 2.5 | 10.87 | 1st |
“Types of soil and vegetation a factor rural resilience and settlements in farmland ecological niche” | 3.25 | 14.13 | 2nd |
“Existing land use and land cover affects the rural resilience and settlements in farmland” | 4.00 | 17.39 | 3rd |
“Geological conditions of the site impact rural resilience and settlements in farmland” | 5.55 | 24.13 | 4th |
“Soil erosion impact and dilapidation impact the rural resilience and settlements in farmland ecological niche” | 7.65 | 33.26 | 5th |
| 23 | 100 | |
Table 4.
Farmers’ perception of the impact of seasonal erosion and rainwater runoffs on farm product productivity and farmstead settlements.
Table 4.
Farmers’ perception of the impact of seasonal erosion and rainwater runoffs on farm product productivity and farmstead settlements.
Respondents’ Perception Statements | Mean | Percentage Average (%) | Rank |
---|
“No impact” | 0.00 | 0.00 | 1st |
“Fair impact” | 1.00 | 4.35 | 2nd |
“Moderate impact” | 3.00 | 13.04 | 3rd |
“Critical impact” | 4.00 | 17.39 | 4th |
“Extreme impact” | 15.00 | 65.21 | 5th |
| 23 | 100 | |
Table 5.
Table showing the surface area and volume.
Table 5.
Table showing the surface area and volume.
Grid Volume Computations (m3) and Area Report (m2) (Upper Surface) |
---|
X Minimum: | 546,930.572 |
X Maximum: | 554,824.1041 |
X Spacing: | 79.732647474747 |
Minimum: | 807,230.112 |
Maximum: | 811,144.065 |
Spacing: | 79.876591836734 |
Minimum: | 0.00096910819013662 |
Z Maximum: | 0.045692186943825 |
Lower Surface |
Level Surface defined by Z = | 0 |
Volumes (m3) |
Z Scale Factor: | 1 |
Total Volumes by: | |
Trapezoidal Rule: | 257,304.55335127 |
Simpson’s Rule: | 258,513.03175463 |
Simpson’s 3/8 Rule: | 258,364.51256342 |
Cut and Fill Volumes (m3) |
Positive Volume [Cut]: | 257,304.55335127 |
Negative Volume [Fill]: | 0 |
Net Volume [Cut–Fill]: | 257,304.55335127 |
Areas (Planar Areas) | |
Positive Planar Area [Cut]: | 29,035,232.178977 |
Negative Planar Area [Fill]: | 0 |
Total Planar Area: | 30,894,913.643391 |
Surface Areas (m2) |
No Data Planar Area: | 1,859,681.4644136 |
Positive Surface Area [Cut]: | 29,035,232.181716 |
Negative Surface Area [Fill]: | 0 |
Table 6.
Table showing the surface contour area, hydrological values and characteristics of the rural settlement landform.
Table 6.
Table showing the surface contour area, hydrological values and characteristics of the rural settlement landform.
Contour Areas |
---|
Contour Value | Planar Area Above Contour | Planar Area Below Contour | Planar Area Between Contour | Surface Area Above Contour | Surface Area Below Contour | Surface Area Between Contour |
---|
65 | 30,894,913.64 | 0 | 254,885.5723 | 30,896,655.84 | 0 | 254,898.6827 |
70 | 30,640,028.07 | 254,885.5723 | 1,105,113.244 | 30,641,757.15 | 254,898.6827 | 1,105,204.774 |
75 | 29,534,914.83 | 1,359,998.817 | 1,733,782.274 | 29536552.38 | 1,360,103.456 | 1,733,954.929 |
80 | 27,801,132.55 | 3,093,781.09 | 1,558,937.231 | 27,802,597.45 | 3,094,058.386 | 1,559,133.362 |
85 | 26,242,195.32 | 4,652,718.322 | 1,510,896.508 | 26,243,464.09 | 4,653,191.747 | 1,511,101.835 |
90 | 24,731,298.81 | 6,163,614.83 | 1,574,858.367 | 24,732,362.25 | 6,164,293.583 | 1,575,071.517 |
95 | 23,156,440.45 | 7,738,473.197 | 1,774,374.038 | 23,157,290.74 | 7,739,365.099 | 1,774,582.894 |
100 | 21,382,066.41 | 9,512,847.235 | 2,137,610.538 | 21,382,707.84 | 9,513,947.993 | 2,137,801.931 |
105 | 19,244,455.87 | 11,650,457.77 | 2,753,008.057 | 19,244,905.91 | 11,651,749.92 | 2,753,180.638 |
110 | 16,491,447.81 | 14,403,465.83 | 3,678,969.225 | 16,491,725.27 | 14,404,930.56 | 3,679,080.352 |
115 | 12,812,478.59 | 18,082,435.05 | 3,983,334.402 | 12,812,644.92 | 18,084,010.91 | 3,983,400.843 |
120 | 8,829,144.187 | 22,065,769.46 | 4,598,612.001 | 8,829,244.079 | 22,067,411.76 | 4,598,670.02 |
125 | 4,230,532.186 | 26,664,381.46 | 4,230,532.186 | 4,230,574.058 | 26,666,081.78 | 4,230,574.058 |
130 | 0 | 30,894,913.64 | n/a | 0 | 30,896,655.84 | n/a |
Table 7.
Table showing the volumes of the contours.
Table 7.
Table showing the volumes of the contours.
Contour Volumes |
---|
Contour Value | Volume Above Contour | Volume Below Contour | Volume Between Contour |
---|
65 | 1,303,552,828 | 0 | 154,185,902.5 |
70 | 1,149,366,925 | 288,665.7363 | 150,784,490.6 |
75 | 998,582,434.6 | 3,978,743.33 | 143,288,982.7 |
80 | 855,293,451.9 | 15,164,328.87 | 135,059,033.2 |
85 | 720,234,418.7 | 34,579,863.85 | 127,435,101.9 |
90 | 592,799,316.8 | 61,619,330.16 | 119,774,443.6 |
95 | 473,024,873.2 | 96,319,454.78 | 111,459,044.1 |
100 | 361,565,829 | 139,334,978.9 | 101,759,352.7 |
105 | 259,806,476.3 | 192,050,194.3 | 89,683,765.12 |
110 | 170,122,711.2 | 256,840,997.4 | 73,456,437.92 |
115 | 96,666,273.25 | 337,859,127.7 | 54,260,761.82 |
120 | 42,405,511.43 | 438,072,934.1 | 33,044,711.74 |
125 | 9,360,799.697 | 559,502,790.6 | 9,360,799.697 |
130 | 0 | 704,616,559.1 | n/a |
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