Quantifying Spatiotemporal Patterns of Urban Land-use Change in Four Cities of China with Time Series Landscape Metrics

Seto, Karen C.; Fragkias, Michail

doi:10.1007/s10980-005-5238-8

Cited by 594 publications

(322 citation statements)

References 41 publications

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“…As a result, urbanization at continental scales should lead to lower variation in surface water abundance across cities relative to variation among their surrounding undeveloped hydroscapes. This pattern would show that urban surface water converges on a specific form, as observed in the constructed components of the urban environment (Seto and Fragkias 2005). Moreover, these patterns should be strongest in intensely developed urban areas, where land is most highly altered.…”

Section: Introductionmentioning

confidence: 86%

“…Although cities are highly heterogeneous at local scales (Cadenasso and others 2007), the standardization of design, construction, and land use creates urban ecosystems that are broadly similar across large regions others 2003, 2007;Pickett and others 2011;Seto and others 2012). Such similarities lead to urban growth and development patterns that converge toward a specific form (Seto and Fragkias 2005;Batty 2008). Ecological communities in cities are homogenized by the intentional and accidental shuffling of flora and fauna by commerce and through planting, which introduces a common pool of cosmopolitan species to similarly structured urban environments (McKinney 2006;Lososová and others 2012).…”

Section: Converging Urban Hydroscapesmentioning

confidence: 99%

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Convergent Surface Water Distributions in U.S. Cities

et al. 2014

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Earth's surface is rapidly urbanizing, resulting in dramatic changes in the abundance, distribution and character of surface water features in urban landscapes. However, the scope and consequences of surface water redistribution at broad spatial scales are not well understood. We hypothesized that urbanization would lead to convergent surface water abundance and distribution: in other words, cities will gain or lose water such that they become more similar to each other than are their surrounding natural landscapes. Using a database of more than 1 million water bodies and 1 million km of streams, we compared the surface water of 100 US cities with their surrounding undeveloped land. We evaluated differences in areal (A WB ) and numeric densities (N WB ) of water bodies (lakes, wetlands, and so on), the morphological characteristics of water bodies (size), and the density (D C ) of surface flow channels (that is, streams and rivers). The variance of urban A WB , N WB , and D C across the 100 MSAs decreased, by 89, 25, and 71%, respectively, compared to undeveloped land. These data show that many cities are surface water poor relative to undeveloped land; however, in drier landscapes urbanization increases the occurrence of surface water. This convergence pattern strengthened with development intensity, such that high intensity urban development had an areal water body density 98% less than undeveloped lands. Urbanization appears to drive the convergence of

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Section: Introductionmentioning

confidence: 86%

Section: Converging Urban Hydroscapesmentioning

confidence: 99%

Convergent Surface Water Distributions in U.S. Cities

et al. 2014

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“…Quantification is one of the essential goals of landscape ecology [1,40]. Because landscape metrics are highly correlated [41,42], the correlated metrics were deselected to reduce reduce redundancy, then nine landscape indices were chosen to display the land cover/land use changes in the study area. These indices include number of patches (NP), largest patch index (LPI), landscape shape index (LSI), contagion index (CONTAG), Shannon diversity index (SHDI), Shannon evenness index (SHEI), interspersion and juxtaposition index (IJI), fragmentation index (FI) and aggregation index (AI).…”

Section: Landscape Indexmentioning

confidence: 99%

Assessment of Land-Cover/Land-Use Change and Landscape Patterns in the Two National Nature Reserves of Ebinur Lake Watershed, Xinjiang, China

2017

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Abstract:Land-cover and land-use change (LCLUC) alters landscape patterns and affects regional ecosystems. The objective of this study was to examine LCLUC and landscape patterns in Ebinur Lake Wetland National Nature Reserve (ELWNNR) and Ganjia Lake Haloxylon Forest National Nature Reserve (GLHFNNR), two biodiversity-rich national nature reserves in the Ebinur Lake Watershed (ELW), Xinjiang, China. Landsat satellite images from 1972, 1998, 2007 and 2013 were used to calculate the dynamics of a land-cover and land-use (LCLU) transition matrix and landscape pattern index using ENVI 5.1 and FRAGSTATS 3.3. The results showed drastic land use modifications have occurred in ELWNNR during the past four decades. Between 1972Between and 1998Between , 1998Between and 2007Between , and 2007Between and 2013.50 km 2 (7.93%), 122.70 km 2 (3.87%), and 195.40 km 2 (6.16%) of wetland were turned into salinized land. In GLHFNNR both low and medium density Haloxylon forest area declined while high density Haloxylon forest area increased. This contribution presents a method for characterizing LCLUC using one or more cross-tabulation matrices based on Sankey diagrams, demonstrating the depiction of flows of energy or materials through ecosystem network. The ecological landscape index displayed that a unique landscape patches have shrunk in size, scattered, and fragmented. It becomes a more diverse landscape. Human activities like farming were negatively correlated with the landscape diversity of wetlands. Furthermore, evidence of degraded wetlands caused by air temperature and annual precipitation, was also observed. We conclude that national and regional policies related to agriculture and water use have significantly contributed to the extensive changes; the ELWNNR and GLHFNNR are highly susceptible to LCLUC in the surrounding Ebinur Lake Watershed.

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“…In recent years, the greater availability of land-cover data derived from remotely sensed images has made it easier to study urban growth and sprawl (Dietzel et al 2005;Stefanov et al 2001;Vogelmann et al 1998;Yang and Lo 2002;Wang and Moskovits 2001) and to detect urban land fragmentation (Luck and Wu 2002;Wu et al 2010). Landsat images have been used in some cross-site studies to study urban land-use fragmentation (e.g., Luck and Wu 2002;Schneider and Woodcock 2008;Seto and Fragkias 2005;Wu et al 2010). In this study, we use remote sensing images, landscape metrics, gradient analysis, and socioeconomic data to analyze the effects of five drivers -water, population dynamics, transportation, topography, and institutions -on the spatial and temporal patterns of land fragmentation.…”

Section: Socio-politicaleconomic Template Pulsesmentioning

confidence: 99%

Land fragmentation under rapid urbanization: A cross-site analysis of Southwestern cities

et al. 2011

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Explosive population growth and increasing demand for rural homes and lifestyles fueled exurbanization and urbanization in the western USA over the past decades. Using National Land Cover Data we analyzed land fragmentation trends from 1992 to 2001 in five southwestern cities associated with Long Term Ecological Research (LTER) sites. We observed two general fragmentation trends: expansion of the urbanized area leading to Urban Ecosyst (2011) fragmentation in the exurban and peri-urban regions and decreased fragmentation associated with infill in the previously developed urban areas. We identified three fragmentation patterns, riparian, polycentric, and monocentric, that reflect the recent western experience with growth and urbanization. From the literature and local expert opinion, we identified five relevant drivers -water provisioning, population dynamics, transportation, topography, and institutions -that shape land use decision-making and fragmentation in the southwest. In order to assess the relative importance of each driver on urbanization, we linked historical site-specific driver information obtained through literature reviews and archival analyses to the observed fragmentation patterns. Our work highlights the importance of understanding land use decision-making drivers in concert and throughout time, as historic decisions leave legacies on landscapes that continue to affect land form and function, a process often forgotten in a region and era of blinding change.

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Quantifying Spatiotemporal Patterns of Urban Land-use Change in Four Cities of China with Time Series Landscape Metrics

Cited by 594 publications

References 41 publications

Convergent Surface Water Distributions in U.S. Cities

Convergent Surface Water Distributions in U.S. Cities

Assessment of Land-Cover/Land-Use Change and Landscape Patterns in the Two National Nature Reserves of Ebinur Lake Watershed, Xinjiang, China

Land fragmentation under rapid urbanization: A cross-site analysis of Southwestern cities

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