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2025 , Vol. 42 >Issue 1: 61 - 73

DOI: https://doi.org/10.7523/j.ucas.2023.039

Research Articles

Basin ecological restoration zoning and land use simulation evaluation based on multivariate coupling model: a case study of Dianchi Lake Basin

  • WANG Jiaheng ,
  • YAN Wei ,
  • DUAN Xuejun ,
  • DUAN Yanyan ,
  • LI Zhuona ,
  • ZOU Hui
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  • 1. School of Geography and Environmental Science, Tianjin Normal University, Tianjin 300387, China;
    2. Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. CAS Key Laboratory of Watershed Geographic Sciences, Nanjing 210008, China;
    5. School of Environment, Nanjing University, Nanjing 210000, China

Received date: 2022-12-12

  Revised date: 2023-04-18

  Online published: 2023-04-18

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Abstract

Scientific delineation of watershed ecological restoration zones and simulation of land use scenarios in each zone can provide important support for the design of land space-related planning schemes such as watershed ecological restoration, ecological risk avoidance and land use index formulation. Taking the Dianchi Lake Basin as an example, this paper identified the ecological restoration zones of the Dianchi Lake Basin and conducted land use simulations under different scenarios based on the ecosystem service value and ecological risk calculation model, PLUS model, GIS analysis and other methods. The results showed that: 1) From 2000 to 2020, the ecosystem service value in the Dianchi Lake Basin decreased from 20.614 billion RMB to 19.271 billion RMB, and the proportion of areas with high ecological risk and above increased from 6.24% to 19.30%; 2) The spatial distribution of ecological restoration zones in the Dianchi Lake Basin was a circular structure. From the center of Lake Dianchi to the outside, ecological restoration zones were divided into 4 categories: the core area of ecological restoration, the important area of ecological restoration, the green development area and the ecological restoration and conservation area. The occupied area was 362.09, 109.99, 791.92, and 1 590.89 km2, respectively; 3) Under the natural development scenario in 2030, the construction land in the Dianchi Lake Basin would increase by 189.92 km2; under the ecological restoration scenario, the construction land would increase by 53.75 km2, and the urban expansion rate would slow down. The ecological restoration scenario had an additional ecosystem service value of 434 million RMB in the Dianchi Lake Basin compared with the natural development scenario.

Key words： ecological restoration zoning; land use simulation assessment; ecosystem service value assessment; ecological risk assessment; Dianchi Lake Basin

Cite this article

WANG Jiaheng , YAN Wei , DUAN Xuejun , DUAN Yanyan , LI Zhuona , ZOU Hui . Basin ecological restoration zoning and land use simulation evaluation based on multivariate coupling model: a case study of Dianchi Lake Basin[J]. Journal of University of Chinese Academy of Sciences, 2025 , 42(1) : 61 -73 . DOI: 10.7523/j.ucas.2023.039

References

[1] Suding K, Higgs E, Palmer M, et al. Committing to ecological restoration[J]. Science, 2015, 348(6235): 638-640. DOI: 10.1126/science.aaa4216.
[2] 曹宇, 王嘉怡, 李国煜. 国土空间生态修复: 概念思辨与理论认知[J]. 中国土地科学, 2019, 33(7): 1-10. DOI: 10.11994/zgtdkx.20190625.083700.
[3] 韩博, 金晓斌, 孙瑞, 等. 新时期国土综合整治分类体系初探[J]. 中国土地科学, 2019, 33(8): 79-88. DOI: 10.11994/zgtdkx.20190724.101007.
[4] 倪庆琳, 侯湖平, 丁忠义, 等. 基于生态安全格局识别的国土空间生态修复分区: 以徐州市贾汪区为例[J]. 自然资源学报, 2020, 35(1): 204-216. DOI: 10.31497/zrzyxb.20200117.
[5] 岳文泽, 侯丽, 夏皓轩, 等. 基于生态系统服务供需平衡的宁夏固原生态修复分区与优化策略[J]. 应用生态学报, 2022, 33(1): 149-158. DOI: 10.13287/j.1001-9332.202112.024.
[6] 蔡海生, 查东平, 张学玲, 等. 基于主导生态功能的江西省国土空间生态修复分区研究[J]. 地学前缘, 2021, 28(4): 55-69. DOI: 10.13745/j.esf.sf.2020.10.7.
[7] 王天福, 龚直文, 邓元杰. 基于土地利用变化的陕西省植被碳汇提质增效优先区识别[J]. 自然资源学报, 2022, 37(5): 1214-1232. DOI: 10.31497/zrzyxb.20220508.
[8] 冯兆忠, 刘硕, 李品. 永定河流域生态环境研究进展及修复对策[J]. 中国科学院大学学报, 2019, 36(4): 510-520. DOI: 10.7523/j.issn.2095-6134.2019.04.010.
[9] 周夏飞, 於方, 刘琦, 等. 东江流域突发水污染风险分区研究[J]. 生态学报, 2020, 40(14): 4813-4822. DOI: 10.5846/stxb201905090943.
[10] 高喆, 曹晓峰, 黄艺, 等. 滇池流域水生态功能一二级分区研究[J]. 湖泊科学, 2015, 27(1): 175-182. DOI: 10.3969/j.issn.1003-5427.2015.01.020.
[11] Chen G Z, Li X, Liu X P, et al. Global projections of future urban land expansion under shared socioeconomic pathways[J]. Nature Communications, 2020, 11(1): 1-12. DOI: 10.1038/s41467-020-14386-x.
[12] Güneralp B, Seto K C. Futures of global urban expansion: uncertainties and implications for biodiversity conservation[J]. Environmental Research Letters, 2013, 8(1): 014025. DOI: 10.1088/1748-9326/8/1/014025.
[13] Grundy M J, Bryan B A, Nolan M, et al. Scenarios for Australian agricultural production and land use to 2050[J]. Agricultural Systems, 2016, 142: 70-83. DOI: 10.1016/j.agsy.2015.11.008.
[14] Chotchaiwong, Wijitkosum. Predicting urban expansion and urban land use changes in Nakhon ratchasima city using A CA-markov model under two different scenarios[J]. Land, 2019, 8(9): 140. DOI: 10.3390/land8090140.
[15] Jiang W G, Chen Z, Lei X, et al. Simulating urban land use change by incorporating an autologistic regression model into a CLUE-S model[J]. Journal of Geographical Sciences, 2015, 25(7): 836-850. DOI: 10.1007/s11442-015-1205-8.
[16] Liang X, Liu X P, Li X, et al. Delineating multi-scenario urban growth boundaries with a CA-based FLUS model and morphological method[J]. Landscape and Urban Planning, 2018, 177: 47-63. DOI: 10.1016/j.landurbplan.2018.04.016.
[17] Zhou Y, Chang J, Feng S S. Effects of urban growth boundaries on urban spatial structural and ecological functional optimization in the Jining Metropolitan Area, China[J]. Land Use Policy, 2022, 117: 106113. DOI: 10.1016/j.landusepol.2022.106113.
[18] Liang X, Guan Q F, 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. DOI: 10.1016/j.compenvurbsys.2020.101569.
[19] 邢可霞, 郭怀成, 孙延枫, 等. 流域非点源污染模拟研究: 以滇池流域为例[J]. 地理研究, 2005, 24(4): 549-558. DOI: 10.3321/j.issn: 1000-0585.2005.04.009.
[20] 刘永, 阳平坚, 盛虎, 等. 滇池流域水污染防治规划与富营养化控制战略研究[J]. 环境科学学报, 2012, 32(8): 1962-1972. DOI: 10.13671/j.hjkxxb.2012.08.024.
[21] 张振华, 高岩, 郭俊尧, 等. 富营养化水体治理的实践与思考: 以滇池水生植物生态修复实践为例[J]. 生态与农村环境学报, 2014, 30(1): 129-135. DOI: 10.3969/j.issn.1673-4831.2014.01.022.
[22] 李文朝, 潘继征, 陈开宁, 等. 滇池东北部沿岸带生态修复技术研究及工程示范: 生态修复目标的确定及其可行性分析[J]. 湖泊科学, 2005, 17(4): 317-321. DOI: 10.18307/2005.0406.
[23] 杜建海, 彭明春, 王崇云, 等. 基于可视域分析的滇池流域面山植被恢复方案设计[J]. 云南大学学报(自然科学版), 2012, 34(S1): 129-134.
[24] 杨枫, 许秋瑾, 宋永会, 等. 滇池流域水生态环境演变趋势、治理历程及成效[J]. 环境工程技术学报, 2022, 12(3): 633-643. DOI: 10.12153/j.issn.1674-991X.20210248.
[25] 余中元, 李波, 张新时. 湖泊流域社会生态系统脆弱性分析: 以滇池为例[J]. 经济地理, 2014, 34(8): 143-150. DOI: 10.15957/j.cnki.jjdl.2014.08.050.
[26] 王启名,杨昆,李立晓, 等.滇池流域水文生态系统服务权衡与协同时空异质性及其归因分析[J].生态学报,2023，43(12):4876-4891.DOI：10.5846/stxb202205241459.
[27] 金杰. 基于土地利用的滇池流域生态系统服务价值时空分异及影响[J]. 水土保持研究, 2022, 29(6): 344-351. DOI: 10.13869/j.cnki.rswc.20220706.001.
[28] 谢高地, 张彩霞, 张雷明, 等. 基于单位面积价值当量因子的生态系统服务价值化方法改进[J]. 自然资源学报, 2015, 30(8): 1243-1254. DOI: 10.11849/zrzyxb.2015.08.001.
[29] 徐羽, 钟业喜, 冯兴华, 等. 鄱阳湖流域土地利用生态风险格局[J]. 生态学报, 2016, 36(23): 7850-7857. DOI: 10.5846/stxb201512152507.
[30] 王佳恒, 颜蔚, 段学军, 等. 湖泊生态缓冲带识别与生态系统服务价值评估: 以滇池为例[J]. 生态学报, 2023, 43(3): 1005-1015. DOI: 10.5846/stxb202112223629.
[31] Zhang S H, Zhong Q L, Cheng D L, et al. Landscape ecological risk projection based on the PLUS model under the localized shared socioeconomic pathways in the Fujian Delta region[J]. Ecological Indicators, 2022, 136: 108642. DOI: 10.1016/j.ecolind.2022.108642.
[32] 陈理庭, 蔡海生, 张婷, 等. 基于Markov-FLUS模型的饶河流域土地利用多情景模拟分析[J]. 生态学报, 2022, 42(10): 3947-3958. DOI: 10.5846/stxb202106271705.
[33] 李琛, 高彬嫔, 吴映梅, 等. 基于PLUS模型的山区城镇景观生态风险动态模拟[J]. 浙江农林大学学报, 2022, 39(1): 84-94. DOI: 10.11833/j.issn.2095-0756.20210237.
[34] 谢丽霞, 白永平, 车磊, 等. 基于价值-风险的黄河上游生态功能区生态分区建设[J]. 自然资源学报, 2021, 36(1): 196-207. DOI: 10.31497/zrzyxb.20210113.
[35] 乔斌, 曹晓云, 孙玮婕, 等. 基于生态系统服务价值和景观生态风险的生态分区识别与优化策略: 以祁连山国家公园青海片区为例[J]. 生态学报, 2023, 43(3): 986-1004. DOI: 10.5846/stxb202112263653.
[36] 丹宇卓, 彭建, 张子墨, 等. 基于 “退化压力-供给状态-修复潜力” 框架的国土空间生态修复分区: 以珠江三角洲为例[J]. 生态学报, 2020, 40(23): 8451-8460. DOI: 10.5846/stxb202004240982.
[37] 韩博, 金晓斌, 项晓敏, 等. 基于“要素-景观-系统”框架的江苏省长江沿线生态修复格局分析与对策[J]. 自然资源学报, 2020, 35(1): 141-161. DOI: 10.31497/zrzyxb.20200113.
[38] 马世发, 劳春华, 江海燕. 基于生态安全格局理论的国土空间生态修复分区模拟: 以粤港澳大湾区为例[J]. 生态学报, 2021, 41(9): 3441-3448. DOI: 10.5846/stxb202003290741.
[39] Zhu E Y, Deng J S, Zhou M M, et al. Carbon emissions induced by land-use and land-cover change from 1970 to 2010 in Zhejiang, China[J]. Science of the Total Environment, 2019, 646: 930-939. DOI: 10.1016/j.scitotenv.2018.07.317.
[40] Newbold T, Hudson L N, Hill S L L, et al. Global effects of land use on local terrestrial biodiversity[J]. Nature, 2015, 520(7545): 45-50. DOI: 10.1038/nature14324.
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