Multi Scenario Simulation of Landscape Structure and Network Connectivity of Ecological Land in Nanchang City

Xie Mingrui; Wei Xiaojian; Zhao Li; Cheng Penggen

doi:10.13961/j.cnki.stbctb.2023.02.024

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Multi Scenario Simulation of Landscape Structure and Network Connectivity of Ecological Land in Nanchang City

- Multi Scenario Simulation of Landscape Structure and Network Connectivity of Ecological Land in Nanchang City
- Bulletin of Soiland Water Conservation Vol. 43, Issue 2, Pages: 202-211(2023)
- 作者机构：
  
  1. 东华理工大学自然资源部环鄱阳湖区域矿山环境监测与治理重点实验室,江西,南昌,330013
  2. 东华理工大学测绘与空间信息工程学院,江西,南昌,330013
  3. 江西省测绘地理信息工程技术研究中心,江西,南昌,330013
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2023.02.024
  CLC： F301.2
- Published：2023
- 稿件说明：
移动端阅览
Xie Mingrui, Wei Xiaojian, Zhao Li, et al. Multi Scenario Simulation of Landscape Structure and Network Connectivity of Ecological Land in Nanchang City[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 202-211.
DOI：

Xie Mingrui, Wei Xiaojian, Zhao Li, et al. Multi Scenario Simulation of Landscape Structure and Network Connectivity of Ecological Land in Nanchang City[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 202-211. DOI： 10.13961/j.cnki.stbctb.2023.02.024.

摘要

[目的

]

探究未来不同发展情境下，江西省南昌市生态用地景观结构与网络连通性变化差异，以期为该市环境保护规划与工程建设提供科学参考。 [方法

]

基于PLUS模型对未来南昌市生态用地格局进行多情景预测，并通过景观格局指数、形态学空间格局分析(MSPA)与网络连接度分析，从数量与结构两个角度，研究不同开发强度下，城市不同区域与结构的生态用地景观结构与网络连通的差异。 [结果

]

①不同发展情境下，生态用地破坏均主要集中于安义县、新建区境内； ②草地破碎化极为严重，在任意发展情景下景观结构差异不大，而林地与水域在情景ED(经济优先)与EP(环境保护)下，景观指数差异较小，对中高强度的开发表现出较强的抗性； ③不同发展情景下，生态核心区面积之间的差异高达90.36 km

，且多类型均匀混合结构的生态用地可以有效抑制孤岛的产生，维护区域生态安全； ④相较于2020年，在各情景下，南昌市等效可能连通性指数EC(PC)下降了18.76%～23.24%，新建区、安义县境内网络连通性下降较为明显。 [结论

]

生态保护情景(EP)发展方案可以有效地保护南昌市生态景观结构与网络安全，保障城市的可持续发展；同时在进行生态保护规划与修复工程时，优先考虑在新建区、安义县等生态景观结构脆弱区域开展，可以较好地维护南昌市生态安全。

Abstract

[Objective] The changes and differences in landscape structure and network connectivity of ecological land in Nanchang City

Jiangxi Province under different development scenarios in the future in order to provide a reference for environmental protection planning and project construction in Nanchang City. [Methods] Based on the PLUS model

the future ecological land use pattern of Nanchang City was predicted for multiple scenarios. Differences in landscape structure and network connectivity of ecological land in different regions and the structures of the city under different development intensities were studied from the perspectives of quantity and structure through landscape pattern index

morphological spatial pattern analysis (MSPA)

and network connectivity analysis. [Results] ① Under different development scenarios

the destruction of ecological land was mainly concentrated in Anyi County and Xinjian District; ② The fragmentation of grassland was very serious

and there was little difference in landscape structure under any development scenario. The difference in landscape index between forest land and water area was small under the ED and EP scenarios

showing strong resistance to medium and high intensity development; ③ Under different development scenarios

the difference in ecological core area was as high as 90.36 km2. Ecological land with multiple types of uniform mixed structure can effectively suppress the generation of isolated islands and maintain regional ecological security; ④ Compared with 2020

under various scenarios

the equivalent possible connectivity index EC (PC) of Nanchang City decreased by 18.76%~23.24%

and the network connectivity in Xinjian District and Anyi County decreased significantly. [Conclusion] The ecological protection scenario (EP) development plan can effectively protect the ecological landscape structure and network security of Nanchang City

thereby ensuring the sustainable development of the city. At the same time

when carrying out ecological protection planning and restoration projects

priority should be given to the construction of new areas

Anyi County

and other fragile ecological landscape areas so as to better maintain the ecological security of Nanchang.

关键词

Keywords

references

尹海伟,孔繁花,祈毅,等.湖南省城市群生态网络构建与优化[J].生态学报,2011,31(10):2863-2874.

Young C H, Jarvis P J. Measuring urban habitat fragmentation: An example from the Black Country, UK [J]. Landscape Ecology, 2001,16(7):643-658.

张应杭.十九大报告关于生态文明建设的3个创新[J].人民论坛,2017(31):27.

Arora A, Pandey M, Mishra V N, et al. Comparative evaluation of geospatial scenario-based land change simulation models using landscape metrics [J]. Ecological Indicators, 2021,128:107810.

王旭,马伯文,李丹,等.基于FLUS模型的湖北省生态空间多情景模拟预测[J].自然资源学报,2020,35(1):230-242.

刘建华,张启斌, Yang Di,等.基于MCR-ANN-CA模型的包头市生态用地演变模拟[J].农业机械学报,2019,50(2):187-194.

刘彦文,刘成武,何宗宜,等.基于地理加权回归模型的武汉城市圈生态用地时空演变及影响因素[J].应用生态学报,2020,31(3):987-998.

杨伟青,张会兰.基于GeoSOS-FLUS的涪江流域生态系统服务价值评估及多情景模拟[J].水土保持研究,2022,29(5):253-262.

璩路路,刘彦随,周扬,等.罗霄山区生态用地时空演变及其生态系统服务功能的响应:以井冈山为例[J].生态学报,2019,39(10):3468-3481.

Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model(FLUS)for simulating multiple land use scenarios by coupling human and natural effects [J]. Landscape and Urban Planning, 2017,168:94-116.

李慧颖,李晓燕,贾明明,等.基于CA-Markov模型的长吉示范区土地利用格局多情景预测研究[J].地理信息世界,2019,26(3):18-24.

林彤,冯兆华,吴大放,等.基于FLUS模型的喀斯特地区生态用地时空变化及多情景预测:以湖南省宁远县为例[J].水土保持通报,2022,42(2):219-227.

张晓瑶,张潇,李冬花,等.城市土地利用变化对生态系统服务价值影响的多情景模拟:以深圳市为例[J].生态学报,2022,42(6):2086-2097.

Li Yanan. Research progress of landscape ecology [J].Journal of Landscape Research,2021,13(4):67-68,72.

龙花楼,刘永强,李婷婷,等.生态用地分类初步研究[J].生态环境学报,2015,24(1):1-7.

Liang X, Guan Q, 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.

Yao Yao, Liu Xiaoping, Li Xia, et al. Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata [J]. International Journal of Geographical Information Science, 2017, 31(11/12):2452-2479.

Liu Xiaoping, Liang Xun, Li Xia, et al. A future land use simulation model(FLUS) for simulating multiple land use scenarios by coupling human and natural effects [J]. Landscape and Urban Planning, 2017, 168:94-116.

Verburg P H, Overmars K P. Combining top-down and bottom-up dynamics in land use modeling: Exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model [J]. Landscape Ecology, 2009,24(9):1167-1181.

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(01):84-94.

白军红,欧阳华,王庆改,等.基于Apack的若尔盖高原湿地景观空间格局分析[J].中国生态农业学报,2008,NO.67(05):1253-1256.

李秀珍，布仁仓，常禹，等.景观格局指标对不同景观格局的反应[J].生态学报,2004,24(1):123-134.

黄辉.长沙市河流廊道景观格局及连通性动态变化研究[D].湖南长沙：湖南师范大学,2016.

许峰,尹海伟,孔繁花,等.基于MSPA与最小路径方法的巴中西部新城生态网络构建[J].生态学报,2015,35(19):6425-6434.

Pierre S, Peter V. Morphological segmentation of binary patterns [J]. Pattern Recognition Letters, 2008,30(4): 456-459.

于亚平,尹海伟,孔繁花,等.南京市绿色基础设施网络格局与连通性分析的尺度效应[J].应用生态学报,2016,27(7):2119-2127.

吴钰茹,吴晶晶,毕晓丽,等. 综合模型法评估黄河三角洲湿地景观连通性[J].生态学报,2022,42(4):1315-1326.

Santiago S, Josep T. Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity [J]. Environmental Modelling and Software, 2008,24(1):135-139.

陈晨,徐威杰,张彦,等.独流减河流域绿色基础设施空间格局与景观连通性分析的尺度效应[J].环境科学研究,2019,32(9):1464-1474.

邬建国.景观生态学:格局、过程、尺度与等级[M].北京：高等教育出版社,2007.

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