scholarly journals Land Use Changes and its Driving Factors in a Coastal Zone

2020 ◽  
Vol 29 (2) ◽  
pp. 1143-1150
Author(s):  
Xuncheng Fan ◽  
Lili Zhao ◽  
Dongjin He
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Land Use Changes ◽  
Driving Factors

Modeling the impacts of coastal land use changes on regional carbon balance in the Chiku coastal zone, Taiwan

2019 ◽  
Vol 87 ◽  
pp. 104079
Author(s):  
Chang-Chieh Chiu ◽  
Pierre-Alexandre Château ◽  
Hsing-Juh Lin ◽  
Yang-Chi Chang
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Carbon Balance ◽  
Land Use Changes ◽  
Coastal Land Use ◽  
Coastal Land

scholarly journals Exploring an integrated spatially model for land-use scenarios simulation in a metropolitan region

2021 ◽  
Author(s):  
H Dadashpoor ◽  
Hossein Panahi
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Land Use Changes ◽  
Current Trend ◽  
Driving Factors ◽  
Metropolitan Region ◽  
Future Scenarios ◽  
Agricultural Lands ◽  
Ecological Resources ◽  
The Impact

Spatial simulation of land-use change scenarios in metropolitan areas is essential for analyzing both the causes and consequences of various future scenarios and is also valuable for land-use planning and management. However, current simulation models primarily focus on spatial and rarely on quantitative driving factors. This article aims to simulate future scenarios of land-use changes in the Tehran metropolitan region (TMR) by combining different models to fill this gap. Thus, in the first step, land-use changes were analyzed in the period 1985, 2000, and 2015. Then, by identifying the impact of driving factors and land-use transition potentials with Logistic regression (LR), land-use changes were allocated using the Cellular Automata (CA) method. Finally, with the validation of the model, four scenarios of the current trend(CT), socioeconomic growth(SEG), ecological-oriented(EO), and integrated development(ID) were suggested with the combination of the System Dynamic (SD) model. The results show that the trend of land-use changes in TMR has led to the destruction of grassland, agricultural, and uncultivated lands and the continuation of this trend will increase the damage of built-up areas on valuable natural and ecological resources. In this way, proximity to roads, distance from built-up areas, and natural factors had the greatest impact on changes. Based on future scenarios in 2030, the change in the SEG-scenario shows a rapid increase in built-up areas (2858km and encroachment on agricultural lands (2171km . In the EO-scenario, destruction of grassland and agricultural lands and the growth of built-up areas will be limited, while CT-scenario leads to the high growth of built-up areas along with destructive impacts on natural and open spaces. In the ID-scenario, the built-up areas and grasslands will increase to 2808km and 7438km , respectively. Accordingly, policy-makers can use simulation of different scenarios to mitigate probable consequences of land-use changes in the metropolitan regions. 2) 2) 2 2

Changes in gully sizes: the role of interactions between land-use changes and other driving factors

2021 ◽  
Author(s):  
Ikenna Osumgborogwu ◽  
John Wainwright ◽  
Laura Turnbull-Lloyd
Keyword(s):  
Land Use ◽  
Multiple Regression ◽  
Surface Runoff ◽  
Land Use Changes ◽  
Surface Flow ◽  
Driving Factors ◽  
Regression Result ◽  
Maximum Slope ◽  
Relative Relief ◽  
Gully Head

<p>Changes in gully sizes are brought about by the interactions among gully-driving factors. The aim of this paper is to understand how interactions among land-use changes and other gully-drivers: relative relief, maximum slope, proximity to rivers and roads influence changes in gully length and gullied area. The study area covers 535 km<sup>2</sup> in the Orlu region of southeast Nigeria. Gully heads were mapped using high resolution data (0.61 – 5m) acquired in November 2009 and December 2018 while supervised land-use classification was undertaken for both years. Three land-use classes were identified: non-vegetated, open vegetation and fallow. Geomorphic variables were acquired from the 30 m SRTM-DEM while gully head distances from rivers and roads were calculated using the distance tool in ArcGIS. Two sets of multiple regression analyses were undertaken, first to understand effects of land-use changes and secondly to ascertain influence of the other driving factors on changes in gully sizes. Non-vegetated surfaces increased from 58.6 km<sup>2</sup> to 144.7 km<sup>2</sup> between 2009 and 2018, while reduction in fallowed lands from 281.2 km<sup>2</sup> to 57.8 km<sup>2</sup> was observed. Of the 58.6 km<sup>2</sup> of non-vegetated lands in 2009, 10.9 km<sup>2</sup> were converted to open vegetation, while 0.18 km<sup>2</sup> was transformed to fallow in 2018, 50.9 km<sup>2</sup> of fallow-cover remained the same between 2009 and 2018 while 29 km<sup>2</sup> were converted to non-vegetated and 201.3 km<sup>2</sup> were used for open vegetation in 2018. These land use changes will likely increase volume of surface runoff.  Gully numbers grew from 26 to 39, mean gully length increased from 0.26 to 0.43 km which translates to a mean headward retreat of 17 m yr<sup>-1</sup>. Total length of all gullies changed from 10.22 to 16.63 km. Mean gullied area increased from 13775 to 16183 m<sup>2</sup>, indicating an areal retreat of 241 m<sup>2</sup> yr<sup>-1</sup>, total gullied area grew from 0.36 km<sup>2 </sup>to 0.62 km<sup>2</sup>. Relative relief ranged between 6 – 46 m, lands around the rivers had the highest concentration of gullies, and there was a sharp rise in slope from 0 – 58.2% within a distance less than 500 m from the rivers. The first Multiple regression result indicated that associations between changes in gully length, non-vegetated and fallow land-use classes were significant at 0.05. Results of the second multiple regression analysis showed that only gully head distance from rivers had a significant positive effect on changes in gullied area. Bearing in mind the configuration of the land and rise in slope from rivers, increased volume of surface runoff (caused by changes in land use and higher slope rise) can attain higher erosive power as it approaches the river. This increased surface flow passing through gully channels on its way to the river, can enhance gully length and areal retreat.</p><p><strong>Keywords: Gully erosion, land-use changes, gully-drivers, south east Nigeria</strong></p>

scholarly journals An Historical Analysis of Agricultural Land Use Dynamics in Delaware's Coastal Zone

1979 ◽  
Vol 8 (2) ◽  
pp. 117-132
Author(s):  
Gerard L. Esposito ◽  
Gerald L. Cole
Keyword(s):  
Land Use ◽  
Coastal Zone ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Historical Analysis ◽  
Primary Data ◽  
Agricultural Land Use ◽  
Outer Continental Shelf ◽  
Land Use Patterns ◽  
Use Patterns

This paper presents one component of a larger research project which was conducted to provide a source of data on historical land use trends in the Delaware Coastal Zone. That study used its established data base to predict how past land use patterns may be altered in the future, due to potential Outer Continental Shelf (OCS) onshore impacts. Primary data were generated for selected regions in Delaware's and Louisiana's Coastal Zone to accomplish the study's intended purposes. One of the important characteristics of the effort was the evaluation of the manner in which gross land use changes occurred in and out of selected categories. Most land use analyses have depicted only net changes, which can mask dynamically shifting phenomena. This paper demonstrates the utility of analyzing both the gross and net changes in agricultural land use for the period 1954–75.

scholarly journals Spatial-Temporal Changes and Driving Factors of Land-Use Eco-Efficiency Incorporating Ecosystem Services in China

2021 ◽  
Vol 13 (2) ◽  
pp. 728
Author(s):  
Yahong Liu ◽  
Hailian Sun ◽  
Lei Shi ◽  
Huimin Wang ◽  
Zhai Xiu ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Use Changes ◽  
Land Development ◽  
Well Being ◽  
Temporal Changes ◽  
Driving Factors ◽  
Stirpat Model ◽  
Rapid Urbanization ◽  
The Impact

With rapid urbanization in China, the dramatic land-use changes are one of the most prominent features that have substantially affected the land ecosystems, thus seriously threatening sustainable development. However, current studies have focused more on evaluating the economic efficiency of land-use, while the loss and degradation of ecosystem services are barely considered. To address these issues, this study first proposed a land use-based input–output index system, incorporating the impact on ecosystem services value (ESV), and then by taking 30 provinces in China as a case study. We further employed the super-efficiency slacks-based model (Super-SBM) and the Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model to explore the spatial–temporal changes and driving factors of the evaluated land-use eco-efficiency. We found that the evaluated ESV was 28.09 trillion yuan (at the price of 2000) in 2015, and that the total ESV experienced an inverted U-shaped trend during 2000–2015.The average land-use eco-efficiency exhibited a downward trend from 0.87 in 2000 to 0.68 in 2015 with distinct regional differences by taking into account the ESV. Our results revealed that northeastern region had the highest efficiency, followed by the eastern, western, and central region of China. Finally, we identified a U-shaped relationship between the eco-efficiency and land urbanization, and found that technological innovation made great contributions to the improvement of the eco-efficiency. These findings highlight the importance of the ESV in the evaluation of land-use eco-efficiency. Future land development and management should pay additional attention to the land ecosystems, especially the continuous supply of human well-being related ecosystem services.

scholarly journals Perubahan Penggunaan Tanah dan Faktor Pendorongnya di Kabupaten Karimun

2019 ◽  
Vol 16 (2) ◽  
pp. 136
Author(s):  
Rangga Olenka ◽  
Adrimas Adrimas ◽  
Melinda Noer
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Free Trade ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Driving Factors ◽  
Free Trade Zone ◽  
Forest Conversion ◽  
Land Use Patterns ◽  
Use Patterns

ABSTRACTEarly detection is important to looking at the phenomenon of massive land use changes. Karimun Regency is one of the areas designated as one of the National Strategic Areas (KSN) for the benefit of economic growth. In addition, parts of the Karimun Regency are also designated as Free Trade Zone (FTZ). This has led to changes in land use patterns. This study analyzes changes in land use in Karimun Regency and its driving factors. Analysis of land use changes was carried out using land use map  and socio-economic data in 2008 - 2017. Methods of data analysis using spatial analysis and analysis of driving factors. The results showed that there were significant changes that occurred in land use. The rate of forest conversion and the decline in the area of agricultural land are very alarming. Growth of the built up area continues to increase. Development pattern of built area only concentrates on center of economic activity that already exists and also on transportation routes. Meanwhile the drivers of change in land use vary. Economic factors such as GRDP Karimun Regency and Investment and social factors such as urbanization and residents working in the primary sector drives land use change in Karimun Regency in 2008 – 2017. Key words: land use, land use change, driven factor ABSTRAKDeteksi dini penting dalam melihat fenomena perubahan penggunaan tanah yang masif. Kabupaten Karimun merupakan salah satu wilayah yang ditetapkan sebagai salah satu Kawasan Strategis Nasional (KSN) untuk kepentingan pertumbuhan ekonomi. Selain itu sebagian wilayah Kabupaten Karimun juga ditetapkan sebagai Kawasan Perdagangan Bebas dan Pelabuhan Bebas (Free Trade Zone). Hal tersebut mendorong perubahan pola penggunaan tanah. Studi ini menganalisis perubahan penggunaan tanah dan faktor pendorongnya yang terjadi di Kabupaten Karimun. Analisis perubahan penggunaan tanah dilakukan menggunakan peta penggunaan tanah dan data sosial ekonomi pada tahun 2008 - 2017. Metode analisis data menggunakan analisis spasial dan analisis faktor pendorong. Hasil penelitian menunjukkan bahwa ada perubahan signifikan yang terjadi pada penggunaan tanah. Laju konversi hutan sangat mengkhawatirkan. Pertumbuhan area terbangun terus meningkat. Pola pengembangan area terbangun hanya berkonsentrasi pada pusat kegiatan ekonomi yang sudah ada dan juga pada jalur transportasi. Sementara itu pendorong perubahan penggunaan tanah bervariasi. Faktor ekonomi seperti PDRB Kabupaten Karimun dan Investasi sedangkan faktor sosial seperti urbanisasi dan penduduk yang bekerja di sektor primer mendorong perubahan penggunaan tanah di Kabupaten Karimun tahun 2008 – 2017.  Kata Kunci: penggunaan tanah, perubahan penggunaan tanah, faktor pendorong.

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