Version 1
: Received: 22 May 2023 / Approved: 23 May 2023 / Online: 23 May 2023 (04:49:47 CEST)
How to cite:
Mo, J.; Sun, P.; Shen, D.; Li, N.; Zhang, J.; Wang, K. Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP-Markov-PLUS Model: A Case Study of Yimengshan Geopark, China. Preprints2023, 2023051571. https://doi.org/10.20944/preprints202305.1571.v1
Mo, J.; Sun, P.; Shen, D.; Li, N.; Zhang, J.; Wang, K. Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP-Markov-PLUS Model: A Case Study of Yimengshan Geopark, China. Preprints 2023, 2023051571. https://doi.org/10.20944/preprints202305.1571.v1
Mo, J.; Sun, P.; Shen, D.; Li, N.; Zhang, J.; Wang, K. Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP-Markov-PLUS Model: A Case Study of Yimengshan Geopark, China. Preprints2023, 2023051571. https://doi.org/10.20944/preprints202305.1571.v1
APA Style
Mo, J., Sun, P., Shen, D., Li, N., Zhang, J., & Wang, K. (2023). Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP-Markov-PLUS Model: A Case Study of Yimengshan Geopark, China. Preprints. https://doi.org/10.20944/preprints202305.1571.v1
Chicago/Turabian Style
Mo, J., Jinye Zhang and Kun Wang. 2023 "Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP-Markov-PLUS Model: A Case Study of Yimengshan Geopark, China" Preprints. https://doi.org/10.20944/preprints202305.1571.v1
Abstract
The foundation for accurately understanding regional land-use structures and pursuing the coordination of human–land relations is the scientific identification and simulation of temporal and spatial evolution patterns of land-use spatial conflict (LUSC). Taking the Yimengshan Geopark (YG) as an example, based on the productional–living–ecological space (PLES) perspective, which constructs a land-use spatial conflict identification and intensity diagnosis model (LUCSII) using the landscape ecology index. We apply geographic information system (GIS) and other methods to achieve the spatial pattern of LUSC over the last 20 years, and we use the GMOP–Markov–PLUS model to simulate the evolution of LUSC in the future under various scenarios. From 2000 to 2020, the LUSC values in the YG were mainly stable and controllable, with mild conflict, while the areas of severe conflict were mainly concentrated in the central urban area of Mengyin County and in low and flat terrain areas such as southern Bailin Town. The LUSC in the YG showed a significant positive spatial correlation, and spatial agglomeration is gradually strengthening. The high–high clusters are found in contiguous areas at the junction of Changlu Town, Gaodu Town, and Mengyin Street, as well as in the southern hilly areas. The low–low clusters were concentrated in Yedian Town, Daigu Town inarea north of the study, and areas surrounding Yunmeng Lake Wetland Park. In the next ten years, the ecological priority scenario (EPD) and sustainable development scenario (ESD) will both be reasonable options for easing and controlling LUSC in YG. Local governments and park management bureaus should determine the three lines and three zones based on the needs of social and economic development, particularly the boundary red line for construction land growth, and plan production and living spaces to alleviate land-use conflicts and stabilize the land-use system. Regional ecological security can be maintained, and future deterioration of the park’s ecological environment avoided, by performing well in terms of ecological isolation.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
