Risk Simulation of Impact of Land Development for Lycium Barbarum Cultivation on Permanent Basic Farmland—A Case Study of Zhongning County, Ningxia Hui Autonomous Region

Zhang Jianhai; Jiang Xintong; Ma Guoqing; Shu Rui; Liang Zhewei; Ma Xiaolin; Li Zhaoying; Ma Ling; Song Tianjian; Tong Rongxin; Ding Tianzi; Liang Xun; Guan Qingfeng

doi:10.13961/j.cnki.stbctb.2024.05.018

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Risk Simulation of Impact of Land Development for Lycium Barbarum Cultivation on Permanent Basic Farmland—A Case Study of Zhongning County, Ningxia Hui Autonomous Region

- Risk Simulation of Impact of Land Development for Lycium Barbarum Cultivation on Permanent Basic Farmland—A Case Study of Zhongning County, Ningxia Hui Autonomous Region
- Bulletin of Soiland Water Conservation Vol. 43, Issue 5, Pages: 162-172(2024)
- 作者机构：
  
  1. 宁夏自然资源勘测调查院土地利用国家重点实验室宁夏科研基地,宁夏,银川,756000
  2. 中国地质大学(武汉) 自然资源部国土碳汇智能监测与空间调控工程技术创新中心,湖北,武汉,430078
  3. 中国地质大学(武汉) 未来技术学院,湖北,武汉,430078
  4. 中国地质大学(武汉) 地理与信息工程学院,湖北,武汉,430078
  5. 宁夏回族自治区农业勘查设计院,宁夏,银川,756000
  6. 中国地质大学(武汉), 国家地理信息系统工程技术研究中心,湖北,武汉,430078
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2024.05.018
  CLC： K9;S5
- Published：2024
- 稿件说明：
移动端阅览
Zhang Jianhai, Jiang Xintong, Ma Guoqing, et al. Risk Simulation of Impact of Land Development for Lycium Barbarum Cultivation on Permanent Basic Farmland—A Case Study of Zhongning County, Ningxia Hui Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 162-172.
DOI：

Zhang Jianhai, Jiang Xintong, Ma Guoqing, et al. Risk Simulation of Impact of Land Development for Lycium Barbarum Cultivation on Permanent Basic Farmland—A Case Study of Zhongning County, Ningxia Hui Autonomous Region[J]. Bulletin of Soiland Water Conservation, 2024, 43(5): 162-172. DOI： 10.13961/j.cnki.stbctb.2024.05.018.

摘要

[目的

]

科学预测宁夏回族自治区中宁县枸杞种植用地扩张带来的影响，为该区未来农业空间布局及特色产业种植发展提供科学指导。[方法

]

以中宁县为研究区，基于2005—2021年国土调查数据，结合耕地“进出平衡”政策，设置有无永久基本农田保护两个约束情景，并利用斑块生成土地利用模拟模型(PLUS)模拟了2025和2035年中宁县土地利用变化，探究了未来枸杞种植用地对永久基本农田的占用情况。[结果

]

到2035年，在有无永久基本农田约束两种情景下枸杞种植用地面积分别增长了59.81%和98.48%，且新增的枸杞大多在原来枸杞用地的周围，鸣沙镇和大战场镇的新增枸杞用地最多；另外，研究显示，在无永久基本农田约束情景下，2025和2035年永久基本农田面积分别被侵占1 100.00和 2 386.67 hm

，其中中宁县中北部地区的永久基本农田被枸杞用地侵占的风险最高。[结论

]

有必要加强对高风险镇区枸杞种植发展的监管，并合理地规划现有和未来的“非粮化”种植用地，以更好地协调研究区的经济发展和永久基本农田保护，促进区域可持续农业的发展。

Abstract

[Objective] The impact of the expansion of Lycium barbarum planting land was predict scientifically in Zhongning County

Ningxia Hui Autonomous Region

in order to provide scientific and reliable suggestions for the future agricultural spatial layout and planting development of characteristic industries in the area. [Methods] Based on land survey data from 2005 to 2021 and considering the policy of “balancing in and out” of arable land

Zhongning County was taken as the research object and two constraint scenarios-one with and the other without the protection of permanent basic farmland-were set up. These were then used to simulate the future land use change of Zhongning County in 2025 and 2035 using the patch-generating land use simulation model (PLUS). Specifically

this model helped investigate the occupation of permanent basic farmland for L. barbarum cultivation in the future. [Results] According to the model

by 2035

under the with and without permanent basic farmland constraints scenarios

the area of land used for L. barbarum will grow by 59.81% and 98.48%

respectively. Most of the newly added L. chincnse will be around the original L. barbarum land

and the main townships with increased area will be concentrated in Mingsha Town and Dazhanchang Town. Moreover

the study showed that

under the scenario without permanent basic farmland constraints

the areas of permanent basic farmland in 2025 and 2035 will be encroached by 1

100.00 hm2 and 2

386.67 hm2

respectively

in which the risk of permanent basic farmland in the north-central region being encroached by L. barbarum land will be the highest. [Conclusion] It is therefore necessary to strengthen the regulation of the development of L. barbarum cultivation in high-risk townships and rationally plan existing and future land for “non-food” cultivation in order to coordinate the economic development of the area better with the protection of permanent basic farmland and promote the development of sustainable agriculture in the region.

关键词

Keywords

references

赵梦珠.耕地多功能视角下都市区永久基本农田综合评价及分级研究: 以杭州市为例[D].浙江杭州:浙江大学,2019. Zhao Mengzhu. Comprehensive evaluation and classification of permanent basic farmland in metropolitan area from the perspective of farmland multi-function: A case study of Hangzhou City [D]. Hangzhou Zhejiang: Zhejiang University, 2019.

汤怀志,桑玲玲,郧文聚.我国耕地占补平衡政策实施困境及科技创新方向[J].中国科学院院刊,2020,35(5):637-644. Tang Huaizhi, Sang Lingling, Yun Wenju. China’s cultivated land balance policy implementation dilemma and direction of scientific and technological innovation [J]. Bulletin of Chinese Academy of Sciences, 2020,35(5):637-644.

牛善栋,方斌.中国耕地保护制度70年:历史嬗变、现实探源及路径优化[J].中国土地科学,2019,33(10):1-12. Niu Shandong, Fang Bin. Cultivated land protection system in China from 1949 to 2019: Historical evolution, realistic origin exploration and path optimization [J]. China Land Science, 2019,33(10):1-12.

梁健,梁婧祎.县域“进出平衡”耕地资源补充潜力分析：以重庆市巴南区为例[J/OL].自然资源情报,1-8.[2024-09-04].http://kns.cnki.net/kcms/detail/10.1798.N.20230620.0910.002.html. Liang jian, Liao Jingwei. Analysis of “In-out balance” cultivated land resources supplement potential: Taking Banan District of Chongqing as an example [J/OL]. Natural Resource Information, 1-8.[2024-09-04]. http://kns.cnki.net/kcms/detail/10.1798.N.20230620.0910.002.html.

Wang Liye, Zheng Weiwei, Tang Lanping, et al. Spatial optimization of urban land and cropland based on land production capacity to balance cropland protection and ecological conservation [J]. Journal of Environmental Management, 2021,285:112054.

Tian Yasi, Chen Junyi. Suburban sprawl measurement and landscape analysis of cropland and ecological land: A case study of Jiangsu Province, China [J]. Growth and Change, 2022,53(3):1282-1305.

吴丽叶,张雁.大力垦造水田落实耕地占补平衡的广西模式[J].中国土地,2023(2):30-32. Wu Liye, Zhang Yan. The Guangxi model of vigorously reclaiming paddy fields to implement the balance of cultivated land occupation and compensation [J]. China Land, 2023(2):30-32.

袁承程,魏雪,王林林,等.2009—2018年耕地占补平衡政策对湖南省湿地变化的影响机制与特征研究[J].长江流域资源与环境,2022,31(12):2642-2652. Yuan Chengcheng, Wei Xue, Wang Linlin, et al. Impacting mechanism and characteristics of cultivated land requisition-compensation balance policy on wetlands change in Hunan Province from 2009 to 2018[J]. Resources and Environment in the Yangtze Basin, 2022,31(12):2642-2652.

谭春婵,熊侣英,朱君玉,等.“进出平衡”背景下广东省耕地恢复研究[J].中国国土资源经济,2023,36(9):63-69. Tan Chunchan, Xiong Lvying, Zhu Junyu, et al. Research on arable land restoration in Guangdong Province under the background of “in-out balance” [J]. China Land and Resources Economy, 2023,36(9):63-69.

Ke Xinli, van Vliet J, Zhou Ting, et al. Direct and indirect loss of natural habitat due to built-up area expansion: A model-based analysis for the city of Wuhan, China [J]. Land Use Policy, 2018,74:231-239.

Li Xia, Chen Yimin. Projecting the future impacts of China’s cropland balance policy on ecosystem services under the shared socioeconomic pathways [J]. Journal of Cleaner Production, 2020,250:119489.

Hou Yifeng, Chen Yaning, Li Zhi, et al. Land use dynamic changes in an arid inland river basin based on multi-scenario simulation [J]. Remote Sensing, 2022,14(12):2797.

Jiao Mengyu, Hu Mengmeng, Xia Beicheng. Spatiotemporal dynamic simulation of land-use and landscape-pattern in the Pearl River delta, China [J]. Sustainable Cities and Society, 2019,49:101581.

Wu Hao, Li Zhen, Clarke K C, et al. Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change [J]. International Journal of Geographical Information Science, 2019,33(5):1040-1061.

Wang Qihao, Liu Dongya, Gao Feiyao, et al. A partitioned and heterogeneous land-use simulation model by integrating CA and Markov model [J]. Land, 2023,12(2):409.

Gharaibeh A, Shaamala A, Obeidat R, et al. Improving land-use change modeling by integrating ANN with Cellular Automata-Markov Chain model [J]. Heliyon, 2020,6(9)e05092.

Mozaffaree Pour N, Karasov O, Burdun I, et al. Simulation of land use/land cover changes and urban expansion in Estonia by a hybrid ANN-CA-MCA model and utilizing spectral-textural indices [J]. Environmental Monitoring and Assessment, 2022,194(8):584.

Xie Hualin, Zhu Zhenhong, He Yafen. Regulation simulation of land-use ecological security, based on a CA model and GIS: A case-study in Xingguo County, China [J]. Land Degradation & Development, 2022,33(10):1564-1578.

Molinero-Parejo R, Aguilera-Benavente F, Gmez-Delgado M, et al. Combining a land parcel cellular automata (LP-CA) model with participatory approaches in the simulation of disruptive future scenarios of urban land use change [J]. Computers, Environment and Urban Systems, 2023,99:101895.

Liao Guitang, He Peng, Gao Xuesong, et al. Land use optimization of rural production-living-ecological space at different scales based on the BP-ANN and CLUE-S models [J]. Ecological Indicators, 2022,137:108710.

Kucsicsa G, Popovici E A, Bǎlteanu D, et al. Future land use/cover changes in Romania: Regional simulations based on CLUE-S model and CORINE land cover database [J]. Landscape and Ecological Engineering, 2019,15(1):75-90.

Huang Qiang, Song Wei. A land-use spatial optimum allocation model coupling a multi-agent system with the shuffled frog leaping algorithm [J]. Computers, Environment and Urban Systems, 2019,77:101360.

Xia Min, Zhang Yanyuan, Zhang Zihong, et al. Modeling agricultural land use change in a rapid urbanizing town: Linking the decisions of government, peasant households and enterprises [J]. Land Use Policy, 2020,90:104266.

Gao Lina, Tao Fei, Liu Runrui, et al. Multi-scenario simulation and ecological risk analysis of land use based on the PLUS model: A case study of Nanjing [J]. Sustainable Cities and Society, 2022,85:104055.

Liang Xun, Guan Qingfeng, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China [J]. Computers, Environment and Urban Systems, 2021,85:101569.

Xu Linfeng, Liu Xuan, Tong De, et al. Forecasting urban land use change based on cellular automata and the PLUS model [J]. Land, 2022,11(5):652.

李安林,周艳,唐丽毅,等.怒江州土地利用模拟及生态系统服务价值评估: 基于PLUS模型的多情景分析[J].中国农业资源与区划,2023,44(1):140-149. Li Anlin, Zhou Yan, Tang Liyi, et al. Land use simulation and ecosystem services values evaluation in Nujiang Prefecture: A multiple-scenario analysis based on plus model [J]. Chinese Journal of Agricultural Resources and Regional Planning, 2023,44(1):140-149.

李香芳,李栋梁,段晓凤,等.宁夏枸杞生长季气候变化特征及其影响[J].中国生态农业学报(中英文),2019,27(12):1789-1798. Li Xiangfang, Li Dongliang, Duan Xiaofeng, et al. Variations and effects of climate in growth period of

Lycium barbarum

L. in Ningxia [J]. Chinese Journal of Eco-agriculture, 2019,27(12):1789-1798.

王朝良.宁夏中宁县枸杞产业发展创新与配套制度[J].沈阳农业大学学报(社会科学版),2007,9(5):670-673. Wang Chaoliang. On development innovation and supporting system of agricultural industry in Zhongning County, Ningxia Autonomous Region [J]. Journal of Shenyang Agricultural University (Social Sciences Edition), 2007,9(5):670-673.

李强,梁勇,闵庆文,等.宁夏中宁枸杞产业发展现状及对策研究[J].北方园艺,2015(9):168-171. Li Qiang, Liang Yong, Min Qingwen, et al. Development status and countermeasures of

Lycium barbarum

L. Industry in Zhongning County [J]. Northern Horticulture, 2015(9):168-171.

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