The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Land cover change or land‐use intensification: simulating land system change with a global‐scale land change model
Abstract
Land‐use change is both a cause and consequence of many biophysical and socioeconomic changes. The CLUMondo model provides an innovative approach for global land‐use change modeling to support integrated assessments. Demands for goods and services are, in the model, supplied by a variety of land systems that are characterized by their land cover mosaic, the agricultural management intensity, and livestock. Land system changes are simulated by the model, driven by regional demand for goods and influenced by local factors that either constrain or promote land system conversion. A characteristic of the new model is the endogenous simulation of intensification of agricultural management versus expansion of arable land, and urban versus rural settlements expansion based on land availability in the neighborhood of the location. Model results for the OECD Environmental Outlook scenario show that allocation of increased agricultural production by either management intensification or area expansion varies both among and within world regions, providing useful insight into the land sparing versus land sharing debate. The land system approach allows the inclusion of different types of demand for goods and services from the land system as a driving factor of land system change. Simulation results are compared to observed changes over the 1970–2000 period and projections of other global and regional land change models.
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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
Freshwater biodiversity: importance, threats, status and conservation challenges
Dudgeon, D., Arthington, A. H., Gessner, M. O., Kawabata, Z., Knowler, D. J., Lévêque, C., Naiman, R. J., Prieur‐Richard, A., Soto, D., Stiassny, M. L. J., et al. (2006) · Biological Reviews · doi:10.1017/s1464793105006950 · Cited by 8,489
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
The Spatial Economy: Cities, Regions, and International Trade
Fujita, M., Krugman, P., & Venables, A. J. (1999) · doi:10.7551/mitpress/6389.001.0001 · Cited by 4,788 · cited 1×
“This applies for example to urban area: urban expansion preferably occurs adjacent to existing cities (Fujita et al., 1999).”
BackgroundThe causes of land-use and land-cover change: moving beyond the myths
Lambin, E. F., Turner, B. L., Geist, H. J., Agbola, S. B., Angelsen, A., Bruce, J. W., Coomes, O. T., Dirzo, R., Fischer, G., Folke, C., et al. (2001) · Global Environmental Change · doi:10.1016/s0959-3780(01)00007-3 · Cited by 3,788
Proximate Causes and Underlying Driving Forces of Tropical Deforestation
GEIST, H. J., & LAMBIN, E. F. (2002) · BioScience · doi:10.1641/0006-3568(2002)052[0143:pcaudf]2.0.co;2 · Cited by 3,123
Livestock production: recent trends, future prospects
Thornton, P. K. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0134 · Cited by 2,215
Scenarios for Global Biodiversity in the 21st Century
Pereira, H. M., Leadley, P. W., Proença, V., Alkemade, R., Scharlemann, J. P. W., Fernandez-Manjarrés, J. F., Araújo, M. B., Balvanera, P., Biggs, R., Cheung, W. W. L., et al. (2010) · Science · doi:10.1126/science.1196624 · Cited by 2,077
Global food security, biodiversity conservation and the future of agricultural intensification
Tscharntke, T., Clough, Y., Wanger, T. C., Jackson, L., Motzke, I., Perfecto, I., Vandermeer, J., & Whitbread, A. (2012) · Biological Conservation · doi:10.1016/j.biocon.2012.01.068 · Cited by 2,066
Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response
MacDonald, D., Crabtree, J. R., Wiesinger, G., Dax, T., Stamou, N., Fleury, P., Gutierrez Lazpita, J., & Gibon, A. (2000) · Journal of Environmental Management · doi:10.1006/jema.1999.0335 · Cited by 2,035
Cited by
Global effects of land use on local terrestrial biodiversity
Newbold, T., Hudson, L. N., Hill, S. L. L., Contu, S., Lysenko, I., Senior, R. A., Börger, L., Bennett, D. J., Choimes, A., Collen, B., et al. (2015) · Nature · doi:10.1038/nature14324 · Cited by 4,352
Liu, X., Liang, X., Li, X., Xu, X., Ou, J., Chen, Y., Li, S., Wang, S., & Pei, F. (2017) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2017.09.019 · Cited by 1,744
Has land use pushed terrestrial biodiversity beyond the planetary boundary? A global assessment
Newbold, T., Hudson, L. N., Arnell, A. P., Contu, S., De Palma, A., Ferrier, S., Hill, S. L. L., Hoskins, A. J., Lysenko, I., Phillips, H. R. P., et al. (2016) · Science · doi:10.1126/science.aaf2201 · Cited by 1,119
Kennedy, C. M., Oakleaf, J. R., Theobald, D. M., Baruch‐Mordo, S., & Kiesecker, J. (2019) · Global Change Biology · doi:10.1111/gcb.14549 · Cited by 722
Li, X., Chen, G., Liu, X., Liang, X., Wang, S., Chen, Y., Pei, F., & Xu, X. (2017) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1303357 · Cited by 389
Metadata
- Authors
- van Asselen, S., & Verburg, P. H.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2013-08-18
- Volume
- 19
- Issue
- 12
- Pages
- 3648-3667
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2091316306
- Cited by
- 411
- References
- 56
- FWCI
- 10.83
- Type
- journal article
- Language
- en
- Open access
- closed
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