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      A Meta-Analysis of Global Urban Land Expansion

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          Abstract

          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.

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          Most cited references25

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          Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island

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            Suppression of rain and snow by urban and industrial air pollution

            Rosenfeld (2000)
            Direct evidence demonstrates that urban and industrial air pollution can completely shut off precipitation from clouds that have temperatures at their tops of about -10 degrees C over large areas. Satellite data reveal plumes of reduced cloud particle size and suppressed precipitation originating from major urban areas and from industrial facilities such as power plants. Measurements obtained by the Tropical Rainfall Measuring Mission satellite reveal that both cloud droplet coalescence and ice precipitation formation are inhibited in polluted clouds.
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              Blaming cities for climate change? An analysis of urban greenhouse gas emissions inventories

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                18 August 2011
                : 6
                : 8
                : e23777
                Affiliations
                [1 ]Yale School of Forestry and Environmental Studies, Yale University, New Haven, Connecticut, United States of America
                [2 ]International Human Dimensions Programme on Global Environmental Change, Urbanization and Global Environmental Change Project, Global Institute for Sustainability, Arizona State University, Tempe, Arizona, United States of America
                [3 ]Department of Environmental Earth System Science, Stanford University, Stanford, California, United States of America
                Universidade de Vigo, Spain
                Author notes

                Conceived and designed the experiments: KCS MF BG MKR. Performed the experiments: KCS MF BG MKR. Analyzed the data: KCS MF BG MKR. Contributed reagents/materials/analysis tools: KCS MF BG MKR. Wrote the paper: KCS MF BG MKR.

                [¤a]

                Current address: Department of Geography, Texas A&M University, College Station, Texas, United States of America

                [¤b]

                Current address: Association of Bay Area Governments, Oakland, California, United States of America

                Article
                PONE-D-10-04605
                10.1371/journal.pone.0023777
                3158103
                21876770
                a26a9066-9864-4a96-a2be-c76506bb89d4
                Seto et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 4 November 2010
                : 27 July 2011
                Page count
                Pages: 9
                Categories
                Research Article
                Earth Sciences
                Environmental Sciences
                Environmental Geography
                Medicine
                Clinical Research Design
                Systematic Reviews
                Social and Behavioral Sciences
                Geography
                Geoinformatics
                Environmental Systems Modeling
                Remote Sensing Imagery
                Human Geography
                Nature and Society Interactions
                Regional Geography
                Settlement Patterns

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                Uncategorized

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