Are agricultural land-use models able to predict changes in land-use intensity?
By Eric F. Lambin, Mark D. Rounsevell, H. Geist. 2000
682 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Soil Science
View Paper: https://www.semanticscholar.org/paper/ad8fab49eda0e9643f8402e8db28db33f25c9680
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In Global and Planetary Change
- Peter H. Verburg
- Xiangzheng Deng
- A. Veldkamp
- Erwin Schmid
- Karen C. Seto
- Rajendra Prasad Shrestha
- Brian C. O'Neill
- G. Hughes
In Soil Science
Citations in the corpus
- Land use change modelling: current practice and research priorities (2004, methodology): “…land use models are provided by Lambin (1997) and Kaimowitz and Angelsen (1998) for deforestation, Miller et al. (1999) for integrated urban models, Lambin et al. (2000a) for agricultural intensification models, and by Bockstael and Irwin (2000) for land use models based on economic theory.”
- Assessing Land Use Change and Its Impact on Ecosystem Services in Northern Thailand (2016, background): “Land use change is the result of both direct and indirect causes [4], often characterized as multiple interacting factors, such as natural variability, economic and technological factors, demographic, and institutional and policy, in addition to cultural factors [7,8].”
- Impacts of population growth, economic development, and technical change on global food production and consumption (2011, methodology): “For details on existing land use models, we refer to Lambin et al. (2000), Heistermann et al. (2006) and van der Werf and Peterson (2007).”
- Crossing spatial analyses and livestock economics to understand deforestation processes in the Brazilian Amazon: the case of Sao Felix do Xingu in South Para (2002, background): “One of the main weaknesses of such regression analyses is the difficulty to separate correlation from causality, or determine the direction of causality (Lambin et al., 2000).”
- Spatial modeling of agricultural land use change at global scale (2013, background): “…of agricultural land use intensification have recently become available to foster modeling efforts (Kuemmerle et al., 2013), although substantial data gaps, uncertainties, and conceptual challenges exist (Keys and McConnell, 2005; Erb et al., 2013; Kuemmerle et al., 2013; Lambin et al., 2000).”
- The impact of urban expansion on agricultural land use intensity in China (2013, background): “However, few studies have revealed the factors and mechanism that lead to changes in land use management (Lambin et al., 2000).”
- Spatial autocorrelation in multi-scale land use models (2003, methodology): “approaches have been adopted in the study of land use/land-cover change (see reviews by Sklar and Costanza, 1991; Lambin, 1994; Riebsame and Parton, 1994; Kaimowitz and Angelsen, 1998; Lambin et al., 2000; Veldkamp and Lambin, 2001).”
- Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review (2020, background): “, droughts, floods, and natural fires) [2].”
- Vulnerability of African mammals to anthropogenic climate change under conservative land transformation assumptions (2006, background): “…and LT, as well as the importance of r 2006 Blackwell Publishing Ltd, Global Change Biology, 12, 424–440 decision making by land managers when facing a range of response options (Lambin et al., 2000), components that are currently poorly known at the African scale and relatively fine resolution.”