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Journal ArticleDOI

Land cover change or land‐use intensification: simulating land system change with a global‐scale land change model

Sanneke van Asselen, +1 more
- 01 Dec 2013 - 
- Vol. 19, Iss: 12, pp 3648-3667
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TLDR
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.
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. © 2013 John Wiley & Sons Ltd.

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Citations
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A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects

TL;DR: A future land use simulation (FLUS) model that explicitly simulates the long-term spatial trajectories of multiple LUCCs, and the simulation accuracy is higher than other well-accepted models, such as CLUE-S and CA models.
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Global protected area expansion is compromised by projected land-use and parochialism

TL;DR: It is shown that with a coordinated global protected area network expansion to 17% of terrestrial land, average protection of species ranges and ecoregions could triple and a major efficiency gap between national and global conservation priorities is demonstrated.
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Managing the middle: A shift in conservation priorities based on the global human modification gradient.

TL;DR: A cumulative measure of human modification of terrestrial lands based on modeling the physical extents of 13 anthropogenic stressors and their estimated impacts using spatially explicit global datasets with a median year of 2016 suggests that most of the world is in a state of intermediate modification and moderately modified ecoregions warrant elevated attention.
References
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Book

The conditions of agricultural growth

Ester Boserup
TL;DR: In this paper, Boserup argues that changes and improvements occur from within agricultural communities, and that improvements are governed not simply by external interference, but by those communities themselves using extensive analyses of the costs and productivity of the main systems of traditional agriculture.
Journal ArticleDOI

Proximate causes and underlying driving forces of tropical deforestation.

Helmut Geist, +1 more
- 01 Feb 2002 - 
TL;DR: Tropical deforestation is driven by identifiable regional patterns of causal factor synergies, of which the most prominent are economic factors, institutions, national policies, and remote influences driving agricultural expansion, wood extraction, and infrastructure extension (at the proximate level).
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