Model based analysis of future land-use development in China

By Günther W. Fischer, Laixiang Sun. 2001

185 citations recorded by the source corpus.

Subfields: Environmental Engineering, General Agricultural and Biological Sciences, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b1b8c85d57fecb0fee3807e5ecbb54a12f6a2cd0

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In Environmental Engineering

In General Agricultural and Biological Sciences

In Global and Planetary Change

Citations in the corpus

Socio-economic and climate change impacts on agriculture: an integrated assessment, 1990–2080 (2005, methodology): “Fischer & Sun 2001; Fischer et al. 2002a; ). Importantly, AEZ is one of the main tools used by FAO for analyses of present and future land resources, both regionally and globally (e.g.”
Cultivated land conversion and potential agricultural productivity in China (2006, unknown): “To ensure that the results relate to sustainable production, LUC imposes fallow periods and excludes terrain slopes and soils that are highly susceptible to topsoil erosion (Fischer and Sun, 2001; Fischer et al., 2000; 2005).”
Assessing the impact of urban expansion on potential crop yield in China during 1990–2010 (2014, unknown): “Figure 2 shows a flowchart used to calculate farmland yield based on the GAEZ model.”
Prediction of Land Use and Land Cover Changes for North Sumatra, Indonesia, Using an Artificial-Neural-Network-Based Cellular Automaton (2019, methodology): “Multivariate spatial models [4], Markov analysis [5], cellular automata (CA) [3,6–9], neural-network-based CA [2], empirical-statistical models [10,11], optimization models [12], and agent-based models [13,14] have all been used in the simulation of land use change.”
Spatio-temporal change of urban–rural equalized development patterns in China and its driving factors (2013, background): “A first-order Markov model is the model of a system inwhich probability distribution over next state is assumed to only depend on current state, but not on previous ones (non-aftereffect) (Veldkamp and Lambin, 2001; Fischer and Sun, 2001; Pijanowski et al., 2002; Guan et al., 2011).”
Selecting among five common modelling approaches for integrated environmental assessment and management (2013, background): “…Uncertainty in parameterization through conditional probabilities, no estimate of structural uncertainty Coupled component models Fischer and Sun (2001) Analysing and projecting regional land use China Terrestrial ecology Economics Optimisation N/A Krol et al. (2001) Semi-arid…”
Land use change modelling: current practice and research priorities (2004, methodology): “Model based analysis of future land-use development in China.”