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Forest and Grassland Resources Research >

2022 , Vol. 0 >Issue 3: 81 - 88

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2022.03.013

Scientific Research

Simulation of Landscape Pattern of Agricultural and Forestry Land in Hegang City Based on Ann-CA-Markov Model

  • Jingmo JIA ,
  • Zhao SUN ,
  • Xinru GUI ,
  • Liang MAO
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  • 1. School of Landscape Architecture,Northeast Forestry University,Harbin 150040,China
    2. Chinese Academy of Forestry,Beijing 100091,China

Received date: 2022-04-21

  Revised date: 2022-05-10

  Online published: 2022-08-04

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Abstract

Hegang City,Heilongjiang Province was selected as the research area.Based on its Landsat remote sensing images and DEM data in 2000,2010 and 2020,Fragstats 4.0 software was used,and the Ann-CA-Markov coupling model was utilized to study the changes in the landscape pattern of agricultural and forestry land in the city from 2000 to 2020,and simulated and predicted the landscape pattern in 2030.The results showed that from 2000 to 2020,the area of cultivated land in Hegang City decreased by 197.9824 km2,and the area of forest decreased by 52.7252 km2;the land use situation in 2030 was simulated and predicted,the area of cultivated land was expected to increase by 1.0368 km2,and the area of forest was expected to decrease by 0.0648 km2;and relevant pattern index was calculated.The degree of fragmentation of agricultural and forestry land in Hegang City was relatively low,but it was subject to strong external interference.Further optimization and adjustment of the landscape pattern should be carried out to continuously reduce the impact on the ecological environment and ensure food and ecological security.

Key words： landscape pattern; simulation forecast; agricultural and forestry land; urban area; fragmentation

Cite this article

Jingmo JIA , Zhao SUN , Xinru GUI , Liang MAO . Simulation of Landscape Pattern of Agricultural and Forestry Land in Hegang City Based on Ann-CA-Markov Model[J]. Forest and Grassland Resources Research, 2022 , 0(3) : 81 -88 . DOI: 10.13466/j.cnki.lyzygl.2022.03.013

References

[1] GB50137-2011,城市用地分类与规划建设用地标准[S].
[2] 党安荣, 田颖, 甄茂成, 等. 中国国土空间规划的理论框架与技术体系[J]. 科技导报, 2020, 38(13):47-56.
[3] 李保杰, 顾和和. 矿区土地复垦景观格局变化和生态效应[J]. 农业工程学报, 2012, 28(3):251-256.
[4] 谢花林. 典型农牧交错区土地利用变化驱动力分析[J]. 农业工程学报, 2008, 24(10):56-62.
[5] Geist H J, Lamnin E F. Proximate causes and underlying driving forces of tropical deforestation[J]. Bilogical Science, 2002, 52(2):143-150.
[6] Tong S T Y, Sun Y, Yang Y J. Generating a future land use change scenario with a modified population-coupled markov cellular automata model[J]. Journal of Environmental Informatics, 2012, 19(2):108-119.
[7] Hana E, Joseph M, Jala K. Land use change assessment in coastal mangrove forests of Iran utilizing satellite imagery and CA-Markov algorithms to monitor and predict future change[J]. Environmental Earth Sciences, 2018, 77:208.
[8] 欧维新, 肖锦成, 李文昊. 基于BP-CA的海滨湿地利用空间格局优化模拟研究--以大丰海滨湿地为例[J]. 自然资源学报, 2014, 29(5):744-756.
[9] 范晓锋. 基于ANN-CA模型的珲春市土地利用格局模拟研究[D]. 长春: 吉林大学, 2016.
[10] 张红华, 万鲁河, 郝景莹. 小兴安岭湿地景观格局模拟及动态演变分析[J]. 测绘科学, 2021, 46(8):197-204.
[11] 幸瑞燊, 周启刚. 基于Ann-CA-Markov模型的生态空间预测模拟:以重庆市万州区为例[J]. 生态与农村环境学报, 2021, 37(6):740-750.
[12] 吴欣昕, 刘小平, 梁迅, 等. FLUS-UGB多情景模拟的珠江三角洲城市增长边界划定[J]. 地球信息科学学报, 2018, 20(4):532-542.
[13] Xu Ying, Tang Haiping, Wang Bojie, et al. Effects of land-use intensity on ecosystem services and human well-being:acase study in Huailai County,China[J]. Environ Earth Sci, 2016, 75(5):416-425.
[14] Brown G, Weber D. Public participation GIS:A new method for nation al parkpalanning[J]. Landscape and urban planning, 2011, 102(1):1-15.
[15] Serneel S, Lambin E F. Proximate causes of land-use changes in Narok district,Kenya:A spatial statistical model[J]. Agriculture,ecosystem and environment, 2001, 85:65-81.
[16] 罗紫薇, 胡希军, 韦宝婧, 等. 基于多准则CA-Markov模型的城市景观格局演变与预测--以上杭县城区为例[J]. 经济地理, 2020, 40(10):58-66.
[17] Wickham J D, Riitters K H, Wade T G, et al. Temporal change in fragmentation of continental US forests[J]. Landscape Ecology, 2008, 23(8):891-898.
[18] 鲁亚楠, 姚顺波. 基于经济和政策双重作用的南方集体林区土地利用时空变化[J]. 南京林业大学学报:自然科学版, 2018, 42(5):163-171.
[19] 毛靓, 贾京默. 黑龙江县域农林用地景观格局变化特征[J]. 森林工程, 2022, 38(2):44-53.
[20] 韩蕾, 孔祥斌, 郭洪峰, 等. 西南山区生态敏感区土地生态安全评价:以秀山县为例[J]. 水土保持研究, 2015, 22(1):229-234.
[21] 刘亚香, 李阳兵, 易兴松, 等. 贵州典型坝子土地利用强度空间演变及景观格局响应[J]. 应用生态学报, 2017, 28(11):3691-3702.
[22] 张晓松, 杜尚泽. 奋力书写东北振兴的时代新篇--习近平总书记在东北三省考察调研并主持召开深入推进东北振兴座谈会纪实[J]. 党的生活(黑龙江), 2018(10):6-10.
[23] 李玲, 应佳明, 徐卫红. 基于GIS技术的山地度假别墅选址分析--以云天海度假村为例[J]. 上饶师范学院学报, 2018, 38(6):61-66.
[24] 李明诗, 徐祎凡, 李云梅, 等. 南方集体林区森林破碎化模式及趋势遥感刻画以浙江余杭为例[J]. 南京林业大学学报:自然科学版, 2010, 34(4):135-139.
[25] 张吕成, 张一帆, 董灵波. 基于Landsat TM数据的大兴安岭森林景观空间格局及其关联性[J]. 森林工程, 2021, 37(6):1-9.
[26] 李淑娟, 王明玉, 李文友, 等. 东北林业大学帽儿山实验林场景观格局及破碎化分析[J]. 东北林业大学学报, 2002, 30(3):49-52.
[27] 李连刚, 张平宇, 刘文新, 等. 吉林省市域环境污染的时空演变特征与影响因素[J]. 应用生态学报, 2019, 30(7):2361-2370.
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