The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Meta-Analysis of Global Urban Land Expansion
Open accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global Consequences of Land Use
Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., et al. (2005) · Science · doi:10.1126/science.1111772 · Cited by 13,272
Research works printed but not linked: 17
- NB Grimm, 2008, Global change and the ecology of cities., Science, 319, 756, 10.1126/science.1150195 · DOI
- AK Hahs, 2009, A global synthesis of plant extinction rates in urban areas., Ecology Letters, 12, 1165, 10.1111/j.1461-0248.2009.01372.x · DOI · Paper page
- KC Seto, 2000, Landsat reveals China's farmland reserves, but they're vanishing fast., Nature, 406, 121, 10.1038/35018267 · DOI
- VC Radeloff, 2010, Housing growth in and near United States protected areas limits their conservation value., Proceedings of the National Academy of Sciences of the United States of America, 107, 940, 10.1073/pnas.0911131107 · DOI
- AJ Arnfield, 2003, Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island., International Journal of Climatology, 23, 1, 10.1002/joc.859 · DOI · Paper page
- D Rosenfeld, 2000, Suppression of rain and snow by urban and industrial air pollution., Science, 287, 1793, 10.1126/science.287.5459.1793 · DOI · Paper page
- JM Shepherd, 2002, Rainfall modification by major urban areas: Observations from spaceborne rain radar on the TRMM satellite., Journal of Applied Meteorology, 41, 689, 10.1175/1520-0450(2002)041<0689:RMBMUA>2.0.CO;2 · DOI
- AM Bento, 2005, The effects of urban spatial structure on travel demand in the United States., Review of Economics and Statistics, 87, 466, 10.1162/0034653054638292 · DOI · Paper page
- D Brownstone, 2009, The impact of residential density on vehicle usage and energy consumption., Journal of Urban Economics, 65, 91, 10.1016/j.jue.2008.09.002 · DOI
- C Vance, 2007, The impact of urban form on automobile travel: disentangling causation from correlation., Transportation, 34, 575, 10.1007/s11116-007-9128-6 · DOI
- H Akbari, 2009, Global cooling: increasing world-wide urban albedos to offset CO2., Climatic Change, 94, 275, 10.1007/s10584-008-9515-9 · DOI
- D Dodman, 2009, Blaming cities for climate change? An analysis of urban greenhouse gas emissions inventories., Environment and Urbanization, 21, 185, 10.1177/0956247809103016 · DOI · Paper page
- D Potere, 2007, A critical look at representations of urban areas in global maps., GeoJournal, 69, 55, 10.1007/s10708-007-9102-z · DOI
- RJ Nicholls, 2010, Sea-level rise and its impact on coastal zones., Science, 328, 1517, 10.1126/science.1185782 · DOI · Paper page
- K Gerxhani, 2004, The informal sector in developed and less developed countries: A literature survey., Public Choice, 120, 267, 10.1023/B:PUCH.0000044287.88147.5e · DOI · Paper page
- A Perlstein, (In review) China' Boom Heads Inland: Understanding Planning, Growth, and Environmental Change in a Central Chinese City.
- G McGranahan, 2007, The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones., Environment and Urbanization, 19, 17, 10.1177/0956247807076960 · DOI · Paper page
Cited by
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086
Self-citationPervasive human-driven decline of life on Earth points to the need for transformative change
Díaz, S., Settele, J., Brondízio, E. S., Ngo, H. T., Agard, J., Arneth, A., Balvanera, P., Brauman, K. A., Butchart, S. H. M., Chan, K. M. A., et al. (2019) · Science · doi:10.1126/science.aax3100 · Cited by 2,926
Urban land teleconnections and sustainability
Seto, K. C., Reenberg, A., Boone, C. G., Fragkias, M., Haase, D., Langanke, T., Marcotullio, P., Munroe, D. K., Olah, B., & Simon, D. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117622109 · Cited by 905
Self-citationGlobal scenarios of urban density and its impacts on building energy use through 2050
Güneralp, B., Zhou, Y., Ürge-Vorsatz, D., Gupta, M., Yu, S., Patel, P. L., Fragkias, M., Li, X., & Seto, K. C. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606035114 · Cited by 543
Self-citationBreaking new ground in mapping human settlements from space – The Global Urban Footprint
Esch, T., Heldens, W., Hirner, A., Keil, M., Marconcini, M., Roth, A., Zeidler, J., Dech, S., & Strano, E. (2017) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2017.10.012 · Cited by 403
Metadata
- Authors
- Seto, K. C., Fragkias, M., Güneralp, B., & Reilly, M. K.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2011-08-18
- Volume
- 6
- Issue
- 8
- Pages
- e23777
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2004056710
- Cited by
- 2,344
- References
- 1
- FWCI
- 7.20
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.