Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Allan, Andrew; Soltani, Alì; Abdi, Mohammad Hamed; Zarei, Melika

doi:10.3390/land11081222

Cited by 38 publications

(19 citation statements)

References 128 publications

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“…Changes in land use in urbanized areas can be caused by many factors, among which demographic, economic, policy or geographical factors are mainly indicated [ 52 ]. Among the demographic factors, the most important are population growth, population density, and migration of people from rural to urban areas [ 53 , 54 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

“…As a result, new, often luxurious, residential districts are created, for example in CZs or on urban peripheries [ 56 ]. This is accompanied by the phenomenon of the so-called second homes, consisting in investing capital in real estate located on the outskirts of the city by residents living and working in UC [ 52 ]. Another important factor affecting LUM, in particular within the FUAs, is the transport infrastructure.…”

Section: Discussionmentioning

confidence: 99%

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Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012

Kudas

Wnęk

Tátošová

2022

IJERPH

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The land use mix (LUM) is among the critical issues in spatial planning because it can determine the occurrence and structure of various land use and cover types (LUC) and prevent any adverse patterns. The paper focuses on the LUM in functional urban areas (FUAs) in Czechia, Slovakia, Poland, and Hungary. The research employed Urban Atlas (UA) data on LUC in 2006 and 2012 to characterise LUM in the FUAs. The research follows the division of the FUA into the urban area (urban core, UC) and its functional surroundings (commuting zones, CZ). We further characterised the phenomena investigated for the entire country, region, and Europe using Corine Land Cover (CLC) data. The LUM was quantified with the entropy index (EI), dissimilarity index (DI), and multi-dimensional balance index (MBI). The EI demonstrated that the investigated FUAs went through more substantial LUM changes than the 27 European Union member states (EU27) from 2006 to 2012. Moreover, it has been demonstrated that LUM overspill was more intensive in CZs than in UCs on the regional and national levels. We found out that urbanised areas grew at the expense of agricultural areas in both UCs and CZs with similar dynamics in 2006–2012 in all the analysed countries.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012

Kudas

Wnęk

Tátošová

2022

IJERPH

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“…LULC change pattern is correlated with numerous interconnected parameters including legislation, land development, environmental, socio-economic, and demographic conditions [9]. Monitoring spatiotemporal patterns of the LULC change could potentially reveal the role of socio-economic drivers of change in sustainable landscape management [10].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Shoreline and Land Use/Land Cover Changes in Sandbanks Provincial Park Using Remote Sensing and Climate Data

Kouhgardi

Hemati

Shakerdargah

et al. 2022

Water

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Climate change-driven forces and anthropogenic interventions have led to considerable changes in coastal zones and shoreline positions, resulting in coastal erosion or sedimentation. Shoreline change detection through cost-effective methods and easy-access data plays a key role in coastal management, where other effective parameters such as land-use/land-cover (LULC) change should be considered. This paper presents a remotely sensed shoreline monitoring in Sandbanks Provincial Park, Ontario, Canada, from 1984 to 2021. The CoastSat toolkit for Python and a multilayer perceptron (MLP) neural network classifier were used for shoreline detection, and an unsupervised change detection framework followed by a postclassification change detection method was implemented for LULC classification and change detection. The study assessed the recent coastal erosion and accretion trends in the region in association with spatiotemporal changes in the total area of the West and East Lakes, the transition between LULC classes, extreme climate events, population growth, and future climate projection scenarios. The results of the study illustrate that the accretion trend apparently can be seen in most parts of the study area since 1984 and is affected by several factors, including lake water-level changes, total annual precipitations, sand movements, and other hydrologic/climatic parameters. Furthermore, the observed LULC changes could be in line with climate change-driven forces and population growth to accelerate the detected accretion trend in the East and West Lakes. In total, the synergistic interaction of the investigated parameters would result in a greater accretion trend along with a lower groundwater table amid even a low carbon scenario. The discussed findings could be beneficial to regional/provincial authorities, policymakers, and environmental advocates for the sustainable development of coastal communities.

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“…However, natural resource availability, dynamics, and management differ temporarily and spatially. Likewise, factors driving LULCC depend on humans' exact conditions and environments [16] [39] [40]. The magnitude and dynamics of these changes have not been extensively studied in the study area.…”

Section: Introductionmentioning

confidence: 99%

Identifying the Rates and Drivers of Spatiotemporal Patterns of Land Use and Land Cover Changes in the Hurungwe District, Zimbabwe: A GIS and Remote Sensing Approach

Sibanda¹,

Tsuyuki²

2022

JGIS

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Identifying spatiotemporal patterns of land use and land cover changes (LULCC) and their impacts on the natural environment is essential in policy decisions for effective, sustainable natural resource management solutions. This study employed supervised image classification in Google Earth Engine (GEE) cloud-based platform to assess the land cover land use changes for the past 30 years (1989-2020), as well as predict the land cover states and the risk of future forest loss in the next ten years, using TerrSet 20 software in Hurungwe district, Zimbabwe. The study findings revealed a net forest area and shrub loss of 32% and 10%, while croplands, water bodies, and bare lands have increased by about 171%, 7%, and 119% between 1989 and 2020, respectively. Croplands are the major contributor to the net change in forests, particularly tobacco farming. The predictive model estimated that by 2030 the district would lose approximately 7% of the current forest cover area, most likely converted into croplands, shrubs, and settlements. The results reinforce the importance of bridging the gap between socioeconomic activities and institutional policies to ensure proper natural resource management. Integrating institutional policy and socioeconomic goals is indispensable to ensure sustainable development.

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Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

Cited by 38 publications

References 128 publications

Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012

Land Use Mix in Functional Urban Areas of Selected Central European Countries from 2006 to 2012

Monitoring Shoreline and Land Use/Land Cover Changes in Sandbanks Provincial Park Using Remote Sensing and Climate Data

Identifying the Rates and Drivers of Spatiotemporal Patterns of Land Use and Land Cover Changes in the Hurungwe District, Zimbabwe: A GIS and Remote Sensing Approach

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