scholarly journals Assessing the Extent of Historical, Current, and Future Land Use Systems in Uganda

Land ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 132 ◽  
Author(s):  
Majaliwa Mwanjalolo ◽  
Barasa Bernard ◽  
Mukwaya Paul ◽  
Wanyama Joshua ◽  
Kutegeka Sophie ◽  
...  
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Markov Chain Model ◽  
Open Water ◽  
Sustainable Land Use ◽  
Chain Model ◽  
Land Use Systems ◽  
Systems Planning ◽  
Future Prediction ◽  
Ecosystem Interactions

Sustainable land use systems planning and management requires a wider understanding of the spatial extent and detailed human-ecosystem interactions astride any landscape. This study assessed the extent of historical, current, and future land use systems in Uganda. The specific objectives were to (i) characterize and assess the extent of historical and current land use systems, and (ii) project future lan use systems. The land use systems were defined and classified using spatially explicit land use/cover layers for the years 1990 and 2015, while the future prediction (for the year 2040) was determined using land use systems datasets for both years through a Markov chain model. This study reveals a total of 29 classes of land use systems that can be broadly categorized as follows: three of the land use systems are agricultural, five are under bushland, four under forest, five under grasslands, two under impediments, three under wetlands, five under woodland, one under open water and urban settlement respectively. The highest gains in the land amongst the land use systems were experienced in subsistence agricultural land and grasslands protected, while the highest losses were seen in grasslands unprotected and woodland/forest with low livestock densities. By 2040, subsistence agricultural land is likely to increase by about 1% while tropical high forest with livestock activities is expected to decrease by 0.2%, and woodland/forest unprotected by 0.07%. High demand for agricultural and settlement land are mainly responsible for land use systems patchiness. This study envisages more land degradation and disasters such as landslides, floods, droughts, and so forth to occur in the country, causing more deaths and loss of property, if the rate at which land use systems are expanding is not closely monitored and regulated in the near future.

scholarly journals The Effect of Land Use Changes on Desertification Hazard (Case Study: Maraveh Tappeh Region of Golestan Province, Iran)

2016 ◽  
Vol 11 (1) ◽  
pp. 168
Author(s):  
Asghar Farajollahi ◽  
Hamid Reza Asgari ◽  
Majid Ownagh ◽  
Mohammad Reza Mahboubi ◽  
Abdolrasoul Salman Mahini
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Markov Chain Model ◽  
Land Use Changes ◽  
Sustainable Use ◽  
Time Interval ◽  
Chain Model ◽  
Dense Forest ◽  
The Difference ◽  
Landsat Satellite

Land degradation and desertification caused by land use change is mainly due to human activities in arid and semi-arid and affect on the sustainable use of lands. The aim of this study was to evaluate the effects of land use changes on the desertification hazard in Maraveh Tappeh region. In this research, land use maps of 1986, 2000 and 2014 is provided using images of MSS, ETM and OLI sensors of Landsat satellite and land use map of 2024 is predicted using Markov chain model. According to the results, dense forest area is decreased during study period and with passing time, the area of agricultural land has increased. The results for the time interval of 2014-2028, showed it is possible that will be decreased semi-dense forest and dense rangelands and will be increased other land-use areas according to results of model predictions. In the study years, desertification maps were prepared using ESAs method and with the assumption of fixed all factors other than land use factor. The results showed that there was a lack of desertification as a class in 1986, but this class has been removed in other study years and has been added the area of this class into other classes. The compare of desertification hazard classes and theirs percentage of area in studied time periods showed that critical (C3) and fragile (F3) classes had increasing trend, clearly. The difference between classes since 1986 to 2000 is clearer and more specific and destruction seem clearer.

scholarly journals Assessing Urban Growth Dynamics and Depletion of Agricultural Land Use in Akure Region, Nigeria

Land Science ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. p43
Author(s):  
J.O. Owoeye
Keyword(s):  
Land Use ◽  
Urban Growth ◽  
Agricultural Land ◽  
Markov Chain Model ◽  
Landsat Imagery ◽  
Growth Management ◽  
Growth Dynamics ◽  
Agricultural Land Use ◽  
Chain Model ◽  
The Impact

This study examined the Akure urban growth dynamics and the impact on agricultural land use in the region between 1985 and 2014. It makes use of Aerial Imagery Interpolation (AII) of Landsat imagery of 1986, 2002, 2007 and 2014 to determine LULC change pattern, the extent and direction of the expansion. As at 1986, only 5.1% (6384 ha.) of land area was developed while over 90% were covered with thick (64.5%) and light (30.33%) vegetation which were lands used for agricultural purposes. By 2014, the built-up area had increased to 26.33% while the thick vegetation reduced drastically to 15.6%. Further investigation revealed that the growth dynamics and loss of agricultural land use in the region were products of increased population and continued urbanization process. There were incompatible conversions in LULC and unguided expansions leading to undue encroachment into green areas at the suburbs. With the aid of Markov chain model, the trend was predicted over a period of 20 years (2014-2034). Variability in this relationship suggests the need of concerted urban growth management efforts by different stakeholders in urban planning to check the shoddy expansion with a view to securing agricultural lands for sustainable food security in the region.

scholarly journals Using a Citizen Science Approach with German Horse Owners to Study the Locomotion Behaviour of Horses on Pasture

2020 ◽  
Vol 12 (5) ◽  
pp. 1835
Author(s):  
Anja Schmitz ◽  
Bettina Tonn ◽  
Ann-Kathrin Schöppner ◽  
Johannes Isselstein
Keyword(s):  
Land Use ◽  
Citizen Science ◽  
Agricultural Land ◽  
Agricultural Research ◽  
Real Life ◽  
Sustainable Land Use ◽  
Walking Distance ◽  
Pasture Management ◽  
Science Approach ◽  
Simple Technology

Engaging farmers as citizen scientists may be a cost-efficient way to answering applied research questions aimed at more sustainable land use. We used a citizen science approach with German horse farmers with a dual goal. Firstly, we tested the practicability of this approach for answering ‘real-life’ questions in variable agricultural land-use systems. Secondly, we were interested in the knowledge it can provide about locomotion of horses on pasture and the management factors influencing this behaviour. Out of 165 volunteers, we selected 40 participants to record locomotion of two horses on pasture and provide information on their horse husbandry and pasture management. We obtained complete records for three recording days per horse from 28 participants, resulting in a dataset on more individual horses than any other Global Positioning System study published in the last 30 years. Time spent walking was greatest for horses kept in box-stall stables, and walking distance decreased with increasing grazing time. This suggests that restrictions in pasture access may increase stress on grass swards through running and trampling, severely challenging sustainable pasture management. Our study, involving simple technology, clear instructions and rigorous quality assessment, demonstrates the potential of citizen science actively involving land managers in agricultural research.

scholarly journals Predicting Land use and land cover spatiotemporal changes utilizing CA-Markov model in Duhok district between 1999 and 2033

2020 ◽  
Author(s):  
shamal
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Cellular Automata ◽  
Land Cover ◽  
Markov Model ◽  
Markov Chain Model ◽  
United States Geological Survey ◽  
Chain Model ◽  
Lulc Changes ◽  
Spatiotemporal Changes

AbstractTHE PROCESS OF SPATIOTEMPORAL CHANGES IN LAND USE LAND COVER (LULC) AND PREDICTING THEIR FUTURE CHANGES ARE HIGHLY IMPORTANT FOR LULC MANAGERS. ONE OF THE MOST IMPORTANT CHALLENGES IN LULC STUDIES IS CONSIDERED TO BE THE CREATION OF SIMULATION OF FUTURE CHANGE IN LULC THAT INVOLVE SPATIAL MODELING. THE PURPOSE OF THIS STUDY IS TO USE GIS AND REMOTE SENSING TO CLASSIFY LULC CLASSES IN DUHOK DISTRICT BETWEEN 1999 AND 2018, AND THEIR RESULTS CALCULATED USING AN INTEGRATED CELLULAR AUTOMATA AND CA-MARKOV CHAIN MODEL TO SIMULATE LULC CHANGES IN 2033. IN THIS STUDY, SATELLITE IMAGES FROM LANDSAT7 ETM AND LANDSAT8 OLI USED FOR DUHOK DISTRICT WHICH IS LOCATED IN THE NORTHERN PART OF IRAQ OBTAINED FROM UNITED STATES GEOLOGICAL SURVEY (USGS) FOR THE PERIODS (1999 AND 2018) ANALYZED USING REMOTE SENSING AND GIS TECHNIQUES IN ADDITION TO THE GROUND CONTROL POINTS, FOR EACH CLASS 60 GROUND POINTS HAVE TAKEN. TO SIMULATE FUTURE LULC CHANGES FOR 2033, INTEGRATED APPROACHES OF CELLULAR AUTOMATA AND CA-MARKOV MODELS UTILIZED IN IDRISI SELVA SOFTWARE. THE OUTCOMES DEMONSTRATE THAT DUHOK DISTRICT HAS EXPERIENCED A TOTAL OF 184.91KM CHANGES DURING THE PERIOD (TABLE 4). THE PREDICTION ALSO INDICATES THAT THE CHANGES WILL EQUAL TO 235.4 KM BY 2033 (TABLE 8). SOIL AND GRASS CONSTITUTES THE MAJORITY OF CHANGES AMONG LULC CLASSES AND ARE INCREASING CONTINUOUSLY. THE ACHIEVED KAPPA VALUES FOR THE MODEL ACCURACY ASSESSMENT HIGHER THAN 0.93 AND 0.85 FOR 1999 AND 2018 RESPECTIVELY SHOWED THE MODEL’S CAPABILITY TO FORECAST FUTURE LULC CHANGES IN DUHOK DISTRICT. THUS, ANALYZING TRENDS OF LULC CHANGES FROM PAST TO NOW AND PREDICT FUTURE APPLYING CA-MARKOV MODEL CAN PLAY AN IMPORTANT ROLE IN LAND USE PLANNING, POLICY MAKING, AND MANAGING RANDOMLY UTILIZED LULC CLASSES IN THE PROPOSED STUDY AREA

Modelling Land-Use and Land-Cover Changes

2021 ◽  
pp. 57-102
Author(s):  
Raquel Faria de Deus ◽  
José António Tenedório ◽  
Jorge Rocha
Keyword(s):  
Land Use ◽  
Logistic Regression ◽  
Land Cover ◽  
Land Use Planning ◽  
Markov Chain Model ◽  
Hybrid Approach ◽  
Chain Model ◽  
Lulc Change ◽  
Massive Growth ◽  
Urban Settlements

In this chapter, a hybrid approach integrating cellular automata (CA), fuzzy logic, logistic regression, and Markov chains for modelling and prediction of land-use and land-cover (LULC) change at the local scale, using geographic information with fine spatial resolution is presented. A spatial logistic regression model was applied to determine the transition rules that were used by a conventional CA model. The overall dimension of LULC change was estimated using a Markov chain model. The proposed CA-based model (termed CAMLucc) in combination with physical variables and land-use planning data was applied to simulate LULC change in Portimão, Portugal between 1947 and 2010 and to predict its future spatial patterns for 2020 and 2025. The main results of this research show that Portimão has been facing massive growth in artificial surfaces, particularly near the main urban settlements and along the coastal area, and reveal an early and intensive urban sprawl over time.

scholarly journals Spiders (Arachnida: Araneae) in Agricultural Land Use Systems in Subtropical Environments

2018 ◽  
Vol 42 (0) ◽  
Author(s):  
Marcio Gonçalves da Rosa ◽  
Júlio Cesar Pires Santos ◽  
Antônio Domingos Brescovit ◽  
Álvaro Luiz Mafra ◽  
Dilmar Baretta
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Agricultural Land Use ◽  
Land Use Systems
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