Abstract
We use Bayesian methods with a weights of evidence approach to model the probability of land use change over the Western part of Switzerland. This first model is followed by a cellular automata model for spatial allocation of land use classes. Our results extend and enhance current land use scenarios studies by applying Dinamica Environment for Geoprocessing Objects (Dinamica EG) to a study area comprising of the upper Rhone river basin in the Cantons of Vaud and Valais. In order to take into account the topography, we divide the study area into four regions, based on their altitude and administrative region. We show that the different regions are affected in differing ways by the same driving forces. We analyse possible outcomes in land use change in 2050 for three different scenarios: “business as usual”, “liberalisation” and a “lowered agriculture production”. The “business-as-usual” scenario results indicate a decrease in agriculture, mostly in extensive agriculture, with a share in the total area of 12.3% in 2009 decreasing by 3.3% in 2050. Losses expected under a “business-as-usual” scenario in agriculture, are mostly due to the conversion to shrubland and forest. Further losses in extensive agriculture are expected under the “liberalisation” scenario, decreasing by 10.3 % in 2050. Along with a marked increase in the closed and open forest area, increasing from 27.1% in 2009 to 42.3% by 2050. Gains in open land habitat with the increase of the share of extensive agriculture area under the “lowered agricultural production” scenario are expected to increase by 3.2% in 2050, while the share of intensive agriculture area is expected to decrease by 5.6%.
Highlights
The land use/cover change field of research is concerned with modelling changes, as well as creating plausible scenarios, and has been broadly discussed and recognized in the context of global and regional change [1,2,3,4,5]
At each time step the shape formed by a group of land use/cover cells evolves according to the defined transition rules, geometry, as well as the neighbourhood influence, and can, incorporate a random variable to allow for some unpredictability [8]
The second step is to study how each variable can impact the changes in the landscape we compared to the distribution of the driving forces in each region (Tables S1–S4)
Summary
The land use/cover change field of research is concerned with modelling changes, as well as creating plausible scenarios, and has been broadly discussed and recognized in the context of global and regional change [1,2,3,4,5]. Scenarios of land use/land cover change offer the possibility to project current and alternative future changes and, allowing the mitigation of potential impacts and improve planning [2,5]. They try to replicate the behaviour of past land use/land cover by considering the environmental suitability of the land to support specific land use/cover categories, but social and economic driving forces as well [2,3,17,18,19,20]. The CA model is a valuable tool for modelling scenarios [9,24,25]
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