A meta-analysis of global urban land expansion.

The conversion of Earth's land surface to urban uses is one of the most irreversible human impacts on the global biosphere. It drives the loss of farmland, affects local climate, fragments habitats, and threatens biodiversity. Here we present a meta-analysis of 326 studies that have used remote...

Full description

Bibliographic Details
Main Authors: Karen C Seto, Michail Fragkias, Burak Güneralp, Michael K Reilly
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3158103?pdf=render
id doaj-dd3b557eeb444c5088e37da26bd115e1
record_format Article
spelling doaj-dd3b557eeb444c5088e37da26bd115e12020-11-25T01:47:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0168e2377710.1371/journal.pone.0023777A meta-analysis of global urban land expansion.Karen C SetoMichail FragkiasBurak GüneralpMichael K ReillyThe conversion of Earth's land surface to urban uses is one of the most irreversible human impacts on the global biosphere. It drives the loss of farmland, affects local climate, fragments habitats, and threatens biodiversity. Here we present a meta-analysis of 326 studies that have used remotely sensed images to map urban land conversion. We report a worldwide observed increase in urban land area of 58,000 km(2) from 1970 to 2000. India, China, and Africa have experienced the highest rates of urban land expansion, and the largest change in total urban extent has occurred in North America. Across all regions and for all three decades, urban land expansion rates are higher than or equal to urban population growth rates, suggesting that urban growth is becoming more expansive than compact. Annual growth in GDP per capita drives approximately half of the observed urban land expansion in China but only moderately affects urban expansion in India and Africa, where urban land expansion is driven more by urban population growth. In high income countries, rates of urban land expansion are slower and increasingly related to GDP growth. However, in North America, population growth contributes more to urban expansion than it does in Europe. Much of the observed variation in urban expansion was not captured by either population, GDP, or other variables in the model. This suggests that contemporary urban expansion is related to a variety of factors difficult to observe comprehensively at the global level, including international capital flows, the informal economy, land use policy, and generalized transport costs. Using the results from the global model, we develop forecasts for new urban land cover using SRES Scenarios. Our results show that by 2030, global urban land cover will increase between 430,000 km(2) and 12,568,000 km(2), with an estimate of 1,527,000 km(2) more likely.http://europepmc.org/articles/PMC3158103?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Karen C Seto
Michail Fragkias
Burak Güneralp
Michael K Reilly
spellingShingle Karen C Seto
Michail Fragkias
Burak Güneralp
Michael K Reilly
A meta-analysis of global urban land expansion.
PLoS ONE
author_facet Karen C Seto
Michail Fragkias
Burak Güneralp
Michael K Reilly
author_sort Karen C Seto
title A meta-analysis of global urban land expansion.
title_short A meta-analysis of global urban land expansion.
title_full A meta-analysis of global urban land expansion.
title_fullStr A meta-analysis of global urban land expansion.
title_full_unstemmed A meta-analysis of global urban land expansion.
title_sort meta-analysis of global urban land expansion.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description The conversion of Earth's land surface to urban uses is one of the most irreversible human impacts on the global biosphere. It drives the loss of farmland, affects local climate, fragments habitats, and threatens biodiversity. Here we present a meta-analysis of 326 studies that have used remotely sensed images to map urban land conversion. We report a worldwide observed increase in urban land area of 58,000 km(2) from 1970 to 2000. India, China, and Africa have experienced the highest rates of urban land expansion, and the largest change in total urban extent has occurred in North America. Across all regions and for all three decades, urban land expansion rates are higher than or equal to urban population growth rates, suggesting that urban growth is becoming more expansive than compact. Annual growth in GDP per capita drives approximately half of the observed urban land expansion in China but only moderately affects urban expansion in India and Africa, where urban land expansion is driven more by urban population growth. In high income countries, rates of urban land expansion are slower and increasingly related to GDP growth. However, in North America, population growth contributes more to urban expansion than it does in Europe. Much of the observed variation in urban expansion was not captured by either population, GDP, or other variables in the model. This suggests that contemporary urban expansion is related to a variety of factors difficult to observe comprehensively at the global level, including international capital flows, the informal economy, land use policy, and generalized transport costs. Using the results from the global model, we develop forecasts for new urban land cover using SRES Scenarios. Our results show that by 2030, global urban land cover will increase between 430,000 km(2) and 12,568,000 km(2), with an estimate of 1,527,000 km(2) more likely.
url http://europepmc.org/articles/PMC3158103?pdf=render
work_keys_str_mv AT karencseto ametaanalysisofglobalurbanlandexpansion
AT michailfragkias ametaanalysisofglobalurbanlandexpansion
AT burakguneralp ametaanalysisofglobalurbanlandexpansion
AT michaelkreilly ametaanalysisofglobalurbanlandexpansion
AT karencseto metaanalysisofglobalurbanlandexpansion
AT michailfragkias metaanalysisofglobalurbanlandexpansion
AT burakguneralp metaanalysisofglobalurbanlandexpansion
AT michaelkreilly metaanalysisofglobalurbanlandexpansion
_version_ 1725015570183618560