Hierarchical marginal land assessment for land use planning

Kang, Suhyun; Post, Wilfred M.; Wang, D.; Nichols, Jeffrey A.; Bandaru, Varaprasad; West, Tristram O.

doi:10.1016/j.landusepol.2012.03.002

Cited by 77 publications

(50 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to alleviate these problems, many scholars have carried out numerous studies, which cover the following aspects: urban spatial extension and sprawl [6][7][8][9][10][11], industrial spatial layout [12,13], urban land use changes [14][15][16][17], and traffic organization [18,19], all of which has provided an important theoretical support for the study of UCLE. …”

Section: Introductionmentioning

confidence: 99%

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

et al. 2017

View full text Add to dashboard Cite

Abstract:The internal structure of urban construction land expansion (UCLE) is closely related to urban sustainability, and the UCLE in China's port city has a unique pattern. This study attempted to monitor the internal structure evolution of UCLE based on construction land transfer data in Ningbo's central city from 2002 to 2015. Equality fan analysis and kernel density analysis were applied to characterize the spatial-temporal dynamics of different types of UCLE and to summarize their evolution patterns. The results revealed that in the whole study area, the rank of the expansion size and intensity of construction land was: industrial land > traffic land > residential land > public land > commercial land. The dominant directions of all types of UCLE were the directions of the port zones. In the port zones, there were more apparent expansion trends and higher expansion intensities of industrial, traffic and public lands, which meant that the port had significant impact on UCLE, especially in terms of industrial land. Additionally, commercial and residential land expansions showed a circle-shaped gradient pattern; industrial land sprawl was in a leapfrog pattern; public and traffic land sprawl was illustrated in a bi-centric pattern. In the future, local government should encourage the development of residential and public land rather than industrial land, and shift the present industry structure which dominated by industry to a more balanced structure, in order to achieve sustainable development.

show abstract

Section: Introductionmentioning

confidence: 99%

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Aiming at the screening of the indicators, the scholars at home and abroad have put forward various methods [Yu et al, 2011;Kang et al, 2013;Alvarez et al, 2015], now so many scholars among them have classified these methods and formed so many literature overviews, which are divided into stationary index screening method, quantitative index screening method and composite index screening method, among which the stationary index screening method mainly includes theoretical analysis method and Delphi method and so on; the typical quantitative index screening method includes principal component analysis method and grey correlation analysis method and so on; the composite index screening method includes analytic hierarchy process and neural network method and so on. The characteristics of each method are analyzed in the following table:…”

Section: Indicatorsmentioning

confidence: 99%

Geological risk assessment for the rapid development area of the Erhai Basin

Liu

Wang

Gui

et al. 2015

Physics and Chemistry of the Earth, Parts A/B/C

View full text Add to dashboard Cite

a b s t r a c tFor low-slope hilly land development to have more new land space in a watershed, it is particularly important that to coordinate the sharply increasing conflicts between mountainous and urban land utilization in the city. However, development of low-slope hilly land easily induce potential risks of geologic hazards such as landslide and landslip. It may lead to further environmental losses in a watershed. Hence, it is necessary to study potential risks of geo-hazards in low-slope hilly land development in urban area. Based on GIS spatial analysis technique, we select a study area, Dali City in the Erhai Basin located in watershed belt of Jinsha River, Lancang River and Red River in Yunnan Province of China. Through studying some relevant key indexes and parameters for monitoring potential risks of geo-hazards, we establish a composite index model for zoning the area with potential risks of geohazards in development of low-slope hilly land in the study area. Our research findings indicate that the potential risks of geo-hazards in eastern Dali City is relatively low while of that on slow hills with gentle slopes in the western area are relatively high. By using a zoning research method, generated maps show geological information of potential risks of geo-hazards on low-slope hilly land which provide important messages for guarding against natural geo-hazards and potential environmental losses in a watershed.

show abstract

“…The eight studies that mapped for generic bioenergy species first mapped marginal lands, then employed land use constraints, or masks, where bioenergy crops should not be planted [27][28][29][30][31]34,36,45]. Finally, three studies first targeted marginal lands for generic bioenergy species based on multiple input criteria, but employed no land cover constraints [13,40,44]. For example, performed a "hierarchical" GIS overlay in succession mapping lands that were considered physically marginal (using slope, rock fragment, bedrock depth, flooding, and ponding), biologically marginal (using temperature, moisture, soil erosion, soil depth, sand content, production, CEC, EC, sodicity, pH, drainage, water table, and soil restriction), environmentally-ecologically marginal (using soil organic carbon trend, slope, erosion, wetland), and finally lands that were economically marginal (from breakeven price or yield).…”

Section: Model Selectionmentioning

confidence: 99%

“…Other less common input layers included highly localized datasets, such as roadways and riparian corridors, which were mapped by Gopalakrishnan et al [40], but only qualitatively mentioned elsewhere [44]. Projected changes in climate were infrequently used.…”

Section: Other Datamentioning

confidence: 99%

“…Fiorese and Guariso [38] and Gelfand et al [17] excluded slopes > 20%, and three studies in China, including Schweers et al [34], Zhuang et al [26] and Lu et al [35] excluded slopes > 25%. Studies with numerous levels of marginality had multiple thresholds for slopes, including Kang et al [44] who used a physical definition of marginal lands that excluded slopes > 30%, and an environmental-ecological definition that excluded slopes < 8%. Cai et al [27] identified eight slope classes for their fuzzy analysis.…”

Section: Choice Of Data Thresholdmentioning

confidence: 99%

See 1 more Smart Citation

Mapping the Potential for Biofuel Production on Marginal Lands: Differences in Definitions, Data and Models across Scales

Lewis

Kelly

2014

IJGI

View full text Add to dashboard Cite

Abstract:As energy policies mandate increases in bioenergy production, new research supports growing bioenergy feedstocks on marginal lands. Subsequently there has been an increase in published work that uses Geographic Information Systems (GIS) to map the availability of marginal land as a proxy for bioenergy crop potential. However, despite the similarity in stated intent among these works a number of inconsistencies remain across studies that make comparisons and standardization difficult. We reviewed a collection of recent literature that mapped bioenergy potential on marginal lands at varying scales, and found that there is no common working definition of marginal land across all of these works. Specifically, we found considerable differences in mapped results that are driven by dissimilarities in definitions, model framework, data inputs, scale and treatment of uncertainty. Most papers reviewed here employed relatively simple GIS overlays of input criteria, distinct thresholds identifying marginal land, and few details describing accuracy and uncertainty. These differences are likely to be major impediments to integration of studies mapping marginal lands for bioenergy production. We suggest that there is future need for spatial modeling of bioenergy, yet further scholarship is needed to compare across countries and scales to understand the global potential for bioenergy crops.

show abstract

Hierarchical marginal land assessment for land use planning

Cited by 77 publications

References 19 publications

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

Geological risk assessment for the rapid development area of the Erhai Basin

Mapping the Potential for Biofuel Production on Marginal Lands: Differences in Definitions, Data and Models across Scales

Contact Info

Product

Resources

About