Changes In Land Use Patterns Research Articles

Effects of Urbanization on Landscape Patterns in the Middle Reaches of the Yangtze River Region

The middle reaches of the Yangtze River region (MRYRR) are China’s first trans-regional urban agglomeration, located in the center of the Yangtze River Economic Belt. The MRYRR is an important ecological reserve, and its land cover changes are affected by both socio-economic development and geographical environment. In this paper, Landsat ETM/TM/OLI remote sensing images were used to monitor land use and landscape patterns from 1990 to 2015. Through supervised classification, land use transfer matrix, landscape pattern metrics and correlation analysis, the spatial-temporal patterns of land use change and its relationship with socio-economic in the study area were revealed. The results showed that: (1) the main land use types in the study area were cropland (CL) and forestland (FL), accounting for more than three-quarters of the study area. During the study period, built-up land (BL) increased, CL decreased, FL increased first and then decreased; (2) the BL expanded mainly by occupying CL and FL, and regional landscape pattern was gradually fragmented, with complex patch shape and increasing diversity and heterogeneity. Among them, the BL is gradually gathered, and the FL and CL are gradually fragmented; (3) in the past 25 years, the urbanization process in this region has been obvious, and the Gross Domestic Product (GDP) has increased by 36 times. The socioeconomic variables were positively correlated with BL, orchard (OL) and Shannon diversity index (SHID), and negatively correlated with CL, Wasteland (WL), mean patch size (MPS) and contagion size (CONTAG). The results showed that the urbanization development has a great impact on the region, and the ecological protection task is still challenging. It is necessary to protect high-quality cropland and draw a red line for ecological protection. We should strengthen the construction of ecological corridors and ecological nodes to adapt to regional sustainable development.

Impact of land use change on agriculture sector of Tamil Nadu, India

Tamil Nadu is the southern-most state of Indian peninsula, which is one of the leading states of India in terms of economic as well as social development. The state is blessed with varied geography and different agro-climatic zones. The western, southern and north-western part are surrounded by hilly region and rich in vegetation. Land use pattern in Tamil Nadu has undergone tremendous transformation over the past few decades due to the impact of urbanization and industrialization. Changes in the land use patterns are associated with ecological changes evidently proven by the recent climate scenario. In Tamil Nadu, the per capita availability of land is only 0.18 ha while the per capita net sown area is only 0.07 ha. An analysis of land use/land cover dynamics has attempted to explore the quantification of fallow land has been converted into agriculture land and then, how much of it converted into built-up area and development of urban infrastructures. Similarly due to the clearance of forests and trees outside the forests (legal and illegal) for agriculture, plantations, residential, highways, railways, and other infrastructure project, has made sever fragmentation on important forest landscapes in Tamil Nadu. According to Bhuvan Portal Analysis between 2005–06 and 2016–17 of a decadal change revealed that Agriculture (Kharif) - 6.26% and 5.37%; Agriculture (Rabi) - 9.93% and 12.18%; Agriculture (Double or Triple Cropping) 18.75% and 16.47%; Agriculture (Current Fallow) 20.17% 22.51%. In another analysis of one decadal change was observed Net sown area was 36% in 2004 whereas 2014 it has increased just 36.17%. The present study analysed the patterns of land use change for three decades in the Thanjavur and Ramanathapuram districts of Tamil Nadu. Among the thirteen land classes, the Zaid croplands has decreasing in the three decades for both the districts. Whereas, the built up and waste lands shows an increasing trend in all the assessed periods.

Analysis of Land Use Changes and Land Suitability for Rice Fields in Tanjung Jabung Barat District

Conversion of agricultural land to non-agriculture is an unavoidable phenomenon, therefore efforts are needed to regulate land use. The purpose of this study is to analyze the rate of conversion of paddy fields by identifying patterns and spatial changes in land and the factors that influence it, as well as analyzing the suitability and availability of lowland rice fields and the suitability of existing lowland rice fields with spatial pattern plans. The study used primary data in the form of semi-detailed soil maps, and secondary data in the form of supporting data and reports. The analytical tools used are Geographic Information Systems, and binary logistic regression. Based on the results of the analysis, it shows that the overall pattern of land use change is 26 patterns of change with a total change area of 127,154 ha (25.81 %), where the area of rice fields is reduced by 1,241 ha in the period 2010-2018. The locational rent factor that has the greatest chance of causing rice field conversion is the distance to the center of the kelurahan/village with a negative coefficient (-3.25461631). The most dominant actual land suitability for existing lowland rice is S1 (74.58%) then S3rf (13.86%) and S3r (10.83%), S3e (0.55%). Evaluation of the alignment of the actual land suitability of the existing rice fields with the spatial pattern plan obtained in the aligned category (67.65%) and potentially aligned (28.16%) with the proposed recommendation that existing rice fields can be one of the considerations for sustainable food land allocation by carrying out strict control on the conversion of paddy fields as well as increasing management efforts to obtain more optimal rice production results and as a material for consideration in reviewing the spatial planing in the RTRW.

Spatial pattern change of land use change in tidal flood area of the coast of Cirebon Regency

Tidal flood is one of the threats found in the coastal areas of Cirebon Regency, especially in Pangenan, Gebang and Losari Districts. The changing coastal conditions and the changing land use have worsened the tidal flood. The purpose of this research is to analyse the spatial pattern of land use change in the tidal flood area. This study uses spatial analysis and temporal and spatial metrics. Temporal, spatial analysis is used to see changes in land use in tidal flood areas in 2002, 2009, and 2019, while spatial metrics are used to see these patterns, especially aggregation and diversity. The results of processing show that changes in land use in 2002–2019 were dominated by ponds and irrigated rice fields. The largest land use area in the tidal flood area is in ponds, but the increase has continued to occur in residential and built-up land from 2002 to 2019. Overall, the spatial metric results show that land use fragmentation in the coastal zone of Cirebon Regency in the tidal flood area is increasing. However, the development of land use in the coastal district of Cirebon Regency is low due to tidal flood.

The change of land use patterns and cover on the surface runoff in Krueng Meuraksa sub-watershed

The increasing population and the development of Lhokseumawe city from 2008-2018 resulted in changes in land use, therefore the type of land cover will be a benchmark for how much the surface run-off will occur. In this study there are six categories of land use types, thus are shrubs, plantations, settlements, open land, dryland farming and rice field. Krueng Meuraksa sub-watershed is in Lhokseumawe, North Aceh Regency, Aceh Province. The area of Krueng Meuraksa sub-watershed is 9,958.56 ha. This study aims to observe how the pattern of land use change and run-off in 2008–2018. This study uses secondary data collection methods obtained from related resources. The result shows that there is a change in land use where the area of land cover continues to increase in the residential area, on the contrary the area of land cover continues to decrease in dryland farming area. These changes lead to an increase in the coefficient of surface run-off in Krueng Meuraksa sub-watershed in 2008–2018, where in 2008 it was 0.726 and in 2018 it was 0.787. Based on the run-off coefficient, rainfall intensity and sub-watershed in Krueng Meuraksa, the amount of run-off was 333.403 m3/d in 2008 and 361.765 m3/d in 2018. The increase in the amount of run-off occurs as the run-off coefficient increases every year

Evaluation on the Change Characteristics of Ecosystem Service Function in the Northern Xinjiang Based on Land Use Change

Monitoring the interannual changes in land use and the temporal and spatial characteristics of the ecosystem services value (ESV) can help to comprehensively and objectively understand the distribution of regional ecological patterns. The mountain–oasis–desert transition zone in the northern Tianshan Mountain region of Xinjiang, China, is a geographically unique area with a highly sensitive ecosystem. As a data source, the study uses Landsat TM images from 1990, 2000, 2010, and 2018 along with GIS-extracted data to calculate the dynamic degree of land use. As well, the spatial and temporal patterns of land use change and ESV are quantitatively analyzed by using the equivalent factor method, sensitivity index, and spatial correlation studies. The results reveal the following: (1) From 1990 to 2018, the land use changes in the northern Tianshans are relatively drastic, mainly due to the increase in cultivated land, grassland and construction land, and the decrease in forest land, water, and unused land. (2) The ESV increases and then decreases, for a total loss of about 271.63 × 108 yuan. The largest decrease is in forest value, and the largest increase (around 129.94%) is in construction land. (3) The spatial distribution pattern of ESV in the northern Tianshans is apparent, showing high in the north and southwest, and low in the central and southeast portions of the study area. Additionally, there is a visible spatial correlation and aggregation in ESV. The present research can provide theoretical support for the environmental protection of the ecologically vulnerable area of the northern Tianshans as well as for further construction across the region.

Geo-ecological cues for mass nesting synchronization of Olive Ridley turtles along Rushikulya estuary in Odisha, east coast of India

In this study, we have analyzed how geo-ecological cues for endangered Olive Ridley turtles’ mass nesting behavior got modified by impact of four severe cyclones during 2010-2019 that made landfall in the vicinity of Rushikulya estuary, which is one of the largest mass nesting congregation (arribada) sites in the world. Analyzing last 10 years of shoreline dynamics, we show that even the slightest modification in beach morphology influenced their nesting behavior in Rushikulya rookery. Shoreline change analysis showed periodic phases of high/low erosion and the northward longshore sediment movement, which becomes impeded by the southern spit, the length of which increased by about 1800 m. During the analyzed period, the nesting behavior of Olive Ridley turtle was greatly influenced by changes in land use and land cover pattern around the Rushikulya rookery. Such reductions in tree cover and marshy land areas were majorly driven by anthropogenic activities and extreme weather events, such as cyclones. We also report increased mortality of turtles, no or false mass nesting events due to significant loss and/or erosion of the nesting sites due to cyclones. The results indicate that conservation of Olive Ridley turtles should be more holistic, or ecosystem centric, rather than species centric. It is important to maintain the ecological integrity of their habitat for highly synchronized mass nesting event and eventually their survival.

Simulation and Analysis of Land Use Changes Applying Cellular Automata in the South of Quito and the Machachi Valley, Province of Pichincha, Ecuador

Rapid urban growth has historically led to changes in land use patterns and the degradation of natural resources and the urban environment. Uncontrolled growth of urban areas in the city of Quito has continued to the present day since 1960s, aggravated by illegal or irregular new settlements. The main objective of this paper is to generate spatial predictions of these types of urban settlements and land use changes in 2023, 2028 and 2038, applying the Dinamica EGO cellular automata and multivariable software. The study area was the Machachi Valley between the south of the city of Quito and the rural localities of Alóag and Machachi. The results demonstrate the accuracy of the model and its applicability, thanks to the use of 15 social, physical and climate predictors and the validation process. The analysis of the land use changes throughout the study area shows that urban land use will undergo the greatest net increase. Growth in the south of Quito is predicted to increase by as much as 35% between 2018 and 2038 where new highly vulnerable urban settlements can appear. Native forests in the Andes and forest plantations are expected to decline in the study area due to their substitution by shrub vegetation or agriculture and livestock land use. The implementation of policies to control the land market and protect natural areas could help to mitigate the continuous deterioration of urban and forest areas.

Relationship of Ecosystem Services in the Beijing–Tianjin–Hebei Region Based on the Production Possibility Frontier

The supply and demand of ecosystem services are affected by land use. Only a few studies have conducted in-depth quantitative analyses. This study adopted the Beijing–Tianjin–Hebei region as the research area. The CLUMondo model was adopted to infer the land-use pattern under protection, development, and natural scenarios in 2035. Moreover, the InVEST model was utilized to evaluate carbon sequestration, water yield, and soil conservation under multiple land-use patterns. The production possibility frontier was drawn to visualize the trade-off relationship further. The trade-off intensity index was calculated to quantify the magnitude of the trade-off. (1) Under the development scenario, the accelerated expansion of urbanized land will occupy a large amount of arable and forest land, which should be planned and controlled. (2) The trade-off and synergistic relationships could be transformed under the different land-use scenarios. (3) The production possibility frontier curve for each ecosystem service trade-off and the optimal value of the trade-off configuration were plotted for the different scenarios. The trade-off intensity of ecosystem services was also calculated. This study combined ecosystem services with land-use regulations and revealed the link between ecosystem services and regional land-use pattern change. The aim is to provide a reference for the synergistic progress of the ecological economy in the Beijing–Tianjin–Hebei region.

Monitoring Land Use Changes and Their Future Prospects Using GIS and ANN-CA for Perak River Basin, Malaysia

Natural landscapes have changed significantly through anthropogenic activities, particularly in areas that are severely impacted by climate change and population expansion, such as countries in Southeast Asia. It is essential for sustainable development, particularly efficient water management practices, to know about the impact of land use and land cover (LULC) changes. Geographic information systems (GIS) and remote sensing were used for monitoring land use changes, whereas artificial neural network cellular automata (ANN-CA) modeling using quantum geographic information systems (QGIS) was performed for prediction of LULC changes. This study investigated the changes in LULC in the Perak River basin for the years 2000, 2010, and 2020. The study also provides predictions of future changes for the years 2030, 2040, and 2050. Landsat satellite images were utilized to monitor the land use changes. For the classification of Landsat images, maximum-likelihood supervised classification was implemented. The broad classification defines four main classes in the study area, including (i) waterbodies, (ii) agricultural lands, (iii) barren and urban lands, and (iv) dense forests. The outcomes revealed a considerable reduction in dense forests from the year 2000 to 2020, whereas a substantial increase in barren lands (up to 547.39 km2) had occurred by the year 2020, while urban land use has seen a rapid rise. The kappa coefficient was used to assess the validity of classified images, with an overall kappa coefficient of 0.86, 0.88, and 0.91 for the years 2000, 2010, and 2020, respectively. In addition, ANN-CA simulation results predicted that barren and urban lands will expand in the future at the expense of other classes in the years 2030, 2040, and 2050. However, a considerable decrease will occur in the area of dense forests in the simulated years. The study successfully presents LULC changes and future predictions highlighting significant pattern of land use change in the Perak River basin. This information could be helpful for land use administration and future planning in the region.

New migration and distribution patterns of Atlantic walruses (Odobenus rosmarus rosmarus) around Nunavik (Qu\xe9bec, Canada) identified using Inuit Knowledge

Environmental changes are affecting the Arctic at an unprecedented rate, but limited scientific knowledge exists on their impacts on species such as walruses (Odobenus rosmarus). Inuit Traditional and Local Ecological Knowledge (Inuit TEK/LEK) held by Inuit walrus harvesters could shed light on walrus ecology and related environmental changes. Our main objective was to study spatial and temporal changes in Atlantic walrus (Odobenus rosmarus rosmarus) distribution in Nunavik (northern Québec, Canada) using Inuit TEK/LEK. To do so, we documented the knowledge and observations of 33 local hunters and Elders as part of a larger project on Atlantic walruses in Nunavik. We first gathered information on changes in Inuit land use patterns and harvesting practices through time and space, which was a crucial step to avoid potential biases in interpreting local observations on walrus distribution. We found that walrus hunters are now covering smaller hunting areas over shorter time periods, reducing in space and time their observations of Atlantic walruses around Nunavik. While clearly taking these limitations into account, we learned from interviews that some areas abandoned by Atlantic walruses in the past were now being re-occupied. Importantly, Atlantic walruses, which migrate following the melting ice, are now traveling along the eastern coast of Nunavik one month earlier, suggesting that Atlantic walrus migration has changed due to variations in sea-ice coverage around Nunavik. Our study not only highlighted important changes in Atlantic walrus distribution and migration in Nunavik, but also sheds light on the importance of documenting temporal and spatial changes in Inuit land use patterns and harvesting practices to understand the ecology of Arctic species using Inuit Knowledge.

Impact of Port Construction on the Spatial Pattern of Land Use in Coastal Zones Based on CLDI and LUT Models: A Case Study of Qingdao and Yantai

Ports are an important type of land use in coastal cities, and the development of ports has a significant influence on the spatial pattern of land use in port cities. However, the research focusing on economic indicators hardly reflects the process of changes in the spatial distribution of land development in coastal port cities. This paper introduces a spatial association rule method to establish a coastline and land development intensity (CLDI) model and land use transfer (LUT) model in the vertical direction of coastal zones to mine the association rules between shoreline change and land development intensity along the sea–land gradient in the Qingdao and Yantai coastal zones and to explore the important land development sequence patterns. The results showed that, in the early stage of regional development, the land development intensity decreased from sea to land. In the later stage, as the industry transferred to nearby towns, the land units with extremely strong and strong levels started to move to the end or middle of the sequence. With the improvement of the urban construction level, the simple LUT pattern sequence that increased building land through the occupation of cultivated land and forestland was replaced gradually by complex sequences with multiple components. The relationship between land development and distance from the port showed that the areas with strong land development intensity gradually moved from coastal to inland areas over time. Port shipping has a profound influence on port city land use patterns. Industrial transfer drives the development of surrounding towns during the metaphase. This trend was used to build a second port to realize the division of transportation capacity, as the old port’s carrying capacity tended to become saturated. This paper revealed the general changes in the important land use patterns in port areas through a comparative study of the Qingdao and Yantai port areas and the differences among different geographical locations and development processes. This study provides a reference for the rational planning of coastal zone spatial layouts and provides a model basis for the analysis of the spatial structure of coastal zones. This information can be used to coordinate the relationship between ports and cities and promote the sustainable development of coastal zones.

Changes of vegetation coverage in Beijing in the background of urbanization based on the data from 2000 to 2019

With the rapid development of urbanization, high-intensity human activities in Beijing profoundly impact the changes of ecological environment, especially on vegetation coverage. Vegetation can provide a variety of ecological services for the city. Based on the data of NDVI (Normalized vegetation Index) from 2000 to 2019, the study analysed the Spatio-temporal changes of vegetation variation and land use pattern in Beijing by GIS analysis. The proportion of the significantly increased pixels of NDVI occupied 76.71% while that of the significantly decreased pixels only occupied 4.99% of the total. The significant positive trends of NDVI were concentrated in the urban core functional areas within the Fifth Ring Road and in the northern and western mountainous areas. The significant negative trends of NDVI were concentrated from the 5th Ring Road to the outside areas of the 6th Ring Road. And the gradual change of land use type is a prominent feature in significantly positive trend area. The reflection of the vegetation coverage and land use change on a large time scale in Beijing has a certain reference value for future land pattern planning and urban policy revision.

Rapid growth of the Bar-headed Goose Anser indicus wintering population in Tibet, China: 1991–2017

Summary Four of China’s six wintering populations of “grey” geese Anser spp. declined during the last decade. In contrast, the Bar-headed Goose A. indicus wintering population in China’s Tibet Autonomous Region more than doubled. During six surveys in Tibet over a 27-year period (1991/92 to 2017/18 winters) we documented an annual growth rate of 6.8% in the Bar-headed Goose population – an increase from approximately 10,100 to 68,100 birds. We propose that in addition to the cessation of hunting, the population growth of Bar-headed Goose is being driven by changes in agricultural land use patterns in Tibet, the establishment of protected areas on the wintering and breeding grounds, and the impacts of climate change across the Tibetan Plateau. Consistent with this hypothesis, the sown area of winter wheat in Tibet has increased and geese have shifted from primarily feeding in crop stubble to planted winter wheat fields. We also found that the most rapid population growth coincided with a 1998 climate regime shift across the Tibetan Plateau resulting in warmer temperatures, an increase in net precipitation, the appearance of new lakes and changes in the water levels and surface area of historical lakes. We suggest that warmer temperatures and high-quality forage on the south-central Tibet wintering grounds may be enhancing over-winter survival, while on the breeding grounds the expansion of lakes and wet meadows is augmenting breeding and brood-rearing habitat.

A Study to Suggest Monthly Baseflow Estimation Approach for the Long-Term Hydrologic Impact Analysis Models: A Case Study in South Korea

Changes in both land use and rainfall patterns can lead to changes in the hydrologic behavior of the watershed. The long-term hydrologic impact analysis (L-THIA) model has been used to predict such changes and analyze the changes in mitigation scenarios. The model is simple as only a small amount of input data are required, but it can predict only the direct runoff and cannot determine the streamflow. This study, therefore, aimed to propose a method for predicting the monthly baseflow while maintaining the simplicity of the model. The monthly baseflows for 20 watersheds in South Korea were estimated under different land use conditions. Calibration of the monthly baseflow prediction method produced values for R2 and the Nash–Sutcliffe efficiency (NSE) within the ranges of 0.600–0.817 and 0.504–0.677, respectively; during validation, these values were in the ranges of 0.618–0.786 and 0.567–0.727, respectively. This indicates that the proposed method can reliably predict the monthly baseflow while maintaining the simplicity of the L-THIA model. The proposed model is expected to be applicable to all the various forms of the model.

Reed Canary Grass for Energy in Sweden: Yields, Land-Use Patterns, and Climatic Profile

Research Highlights: (1) Reed canary grass (RCG) is analysed in Sweden compared to willow and poplar for 2001–2020. (2) Each crop presents a different land-use and climatic profile. (3) Average yield records of RCG are similar to willow and poplar. (4) There are divergences between trial-based and commercial yields. (5) Existing land-use change patterns suggest meadow > RCG and RCG > cereal. (6) RCG land area is very sensitive to policy incentives. Background and objectives: RCG is an alternative crop for biomass-to-energy due to high yield and frost tolerance. We assess the cultivation in Sweden by using an extensive compilation of data, with emphasis on the extent of the cultivation, climatic profile, land-use patterns, and productivity. Material and methods: RCG plantations are analysed for 2001–2020. A geostatistical analysis is performed to characterize where it is cultivated and the land uses associated. Climatic, productivity, and yield profiles are compared to willow and poplar plantations from experiments and from commercial plantations. Results: The results show that the cultivation of RCG expanded after 2005, with a maximum of 800 ha in 2009, to then decrease to the current levels of about 550 ha. It is mainly grown in colder climatic areas, with lower agricultural productivity than willow and poplar. Mean yields from trials are 6 oven dry tonnes (odt) ha−1 year−1; commercial yields are 3.5 odt ha−1 year−1. RCG replaces meadow land and then is replaced by cereals when abandoned. Conclusions: RCG is an interesting alternative with similar yields (commercial and trials) as other energy crops, but its success is more sensitive to policy incentives.

Integrating Remote Sensing and a Markov-FLUS Model to Simulate Future Land Use Changes in Hokkaido, Japan

As the second largest island in Japan, Hokkaido provides precious land resources for the Japanese people. Meanwhile, as the food base of Japan, the gradual decrease of the agricultural population and more intensive agricultural practices on Hokkaido have led its arable land use to change year by year, which has also caused changes to the whole land use pattern of the entire island of Hokkaido. To realize the sustainable use of land resources in Hokkaido, past and future changes in land use patterns must be investigated, and target-based land use planning suggestions should be given on this basis. This study uses remote sensing and GIS technology to analyze the temporal and spatial changes of land use in Hokkaido during the past two decades. The types of land use include cultivated land, forest, waterbody, construction, grassland, and others, by using the satellite images of the Landsat images in 2000, 2010, and 2019 to achieve this goal to make classification. In addition, this study used the coupled Markov-FLUS model to simulate and analyze the land use changes in three different scenarios in Hokkaido in the next 20 years. Scenario-based situational analysis shows that the cultivated land in Hokkaido will drop by about 25% in 2040 under the natural development scenario (ND), while the cultivated land area in Hokkaido will remain basically unchanged in cultivated land protection scenario (CP). In forest protection scenario (FP), the area of forest in Hokkaido will increase by 1580.8 km2. It is believed that the findings reveal that the forest land in Hokkaido has been well protected in the past and will be protected well in the next 20 years. However, in land use planning for future, Hokkaido government and enterprises should pay more attention to the protection of cultivated land.

Human-Derived Environmental Consequences for Three Sedimentary Systems of The Canary Islands (Spain) – a Study of Changes and Impacts: a Synthesis

This paper explores the relationship in three sedimentary systems of the Canary Islands (Spain) between four major land change processes (resource extraction, urbanization, tourism and nature protection) and six main environmental consequences (impacts on aeolian sedimentary dynamics, changes in sand landforms, disappearance of sand landforms and entire systems, changes in vegetation, impacts on the socioeconomic system, and changes in land use patterns). The results show that all the environmental consequences have impacted all three study sites, except in one of them (La Graciosa island) in producing disappearance of sand landforms and entire systems. It should be noted that the environmental consequences described concerns different scales (from entire systems to landforms). All the impacts are described and analyzed separately, and the results are discussed in detail and in relation to the presence of these environmental consequences in other parts of the world.

Threats of Changes in Land-Use and Drivers on Owabi and Barekese Watershed Forests in Ghana

This study analyzes the patterns of land-use and land-cover changes for the last three decades (1986–2017) and its drivers for Owabi and Barekese watersheds in the moist semi-deciduous forest of Ghana. The study used Landsat satellite imageries of 1986, 1998, 2007, and 2017 and population data to analyze land cover and use changes of the two watersheds. A decline in natural vegetation cover by 57% and 71.3% has occurred for Owabi and Barekese watersheds respectively. Cropland increased by 77.1% and 105.2% while settlement has increased by 1,018% and 4%, respectively, for Owabi and Barekese watersheds. Cropland is the main form of land-use change for Barekese watershed while settlement is the main land-use change in the Owabi watershed. Annual expansion of settlement within the Owabi site was 38.1%, and cropland was 5.2% for the Barekese site. Population trends had a significant negative relationship with forest cover and a positive relationship with settlement and cropland. Catchment degradation was also influenced by the management model used.

Land Use and Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria

Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decrease of about 1.71 million ha of forest cover between 1995 to 2020, indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018, with a view to providing adequate information on the pattern and trend of land use and land cover changes for proper monitoring and effective planning. The study utilized satellite images from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use and land cover is a result of anthropogenic activities in the study area.