Abstract

The SLEUTH model is one of the recent methodological advances, but its data sources are mainly interpreted from remote sensing images. It doesn’t cover the whole urban area and exhibits technical errors. Moreover, the relationships between land use and land cover change (LUCC) and sustainability have seldom been discussed. Aimed at addressing these shortcomings, we focus on a wider range and use different data sources to simulate and predict the boundary of urban construction land expansion, and analyze the relationship between the expansion style of urban land and the change of ecological service value. Based on Shanghai land use map data, which covers the whole city scope and eliminates the error in data processing, we use a SLEUTH model to simulate the urban growth mode in Shanghai in 2020 under two scenarios, i.e., the natural growth mode and ecological priority mode, which are different from the previous scenario modes such as unprotected, light protected, moderately protected, and heavily protected modes. The results are as follows: (1) The development of urban land in Shanghai is most reasonable under the ecological priority mode as its ecological service value is higher than that of the natural growth mode; (2) Construction land expansion in Shanghai is very slow under the ecological priority mode, wherein construction land growth mainly occurs in the northwest, southwest, and southeast of Shanghai, and the northwest part of Chongming Island; (3) The surrounding area of the central city is given priority over edge growth, where the growth range is small. The outer suburbs are given priority for widespread growth, which is synchronous with the slow growth of roads.

Highlights

  • Over the past 20 years, land use and land cover change (LUCC) has become one of the core research concepts in global environmental change research

  • The simulation models employed for urban expansion and land use change include the Markov, CA (Cellular Automata)-Markov, ANN (Artificial Neural Network)-Markov, LTM (Land Transformation Model), ABM, CLUE-S, and SLEUTH models [18,19]

  • The Urban Growth Model (UGM) sub-model can be performed separately, and the Land Cover Deltatron Model (LCDM) sub-model is capable of further considering the interaction between urban land and other land use types based on the UGM sub-model

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Summary

Introduction

Over the past 20 years, land use and land cover change (LUCC) has become one of the core research concepts in global environmental change research. A CA model is a lattice dynamical model with time, space, and state as discrete, spatially interacting, and time-dependent variables This model has a strong capability to simulate the spatio-temporal evolution of complex space systems [14,20,21,22]. In the LUCC models research field, another noteworthy trend is that some scholars have begun to pay close attention to the relationships between LUCC and sustainability, e.g., the impacts of LUCC on global food security and biodiversity [29,30], the cycling of carbon and water [31], soil fertility and natural values [32], landscape value [33,34], water management [35], the relationship between land cover and vulnerability to climate change [36], and so on. To meet the world’s future food security and sustainability needs, we must seek reasonable strategies and solutions [29,30]

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