Construction and optimization of ecological network based on morphological spatial pattern analysis and minimum cumulative resistance models in Haihe River basin

被引:4
作者
Li, Fawen [1 ]
Zhao, Yuyao [1 ,2 ]
Zhao, Yong [3 ]
机构
[1] Tianjin Univ, State Key Lab Hydraul Engn Intelligent Constructio, Tianjin 300072, Peoples R China
[2] State Grid XinYuan Co Ltd, Pumped Storage Technol & Econ Res Inst, Beijing, Peoples R China
[3] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
基金
中国国家自然科学基金;
关键词
ecological corridors; ecological network; Haihe River basin; MCR; MSPA; IDENTIFICATION;
D O I
10.1002/eco.2620
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In recent years, landscape fragmentation has become increasingly serious due to the impact of human activities. The ecological network can ensure the ecological function of the region through linearly connecting ecological corridors and effectively solving the problem of landscape fragmentation that occurs in the evolution of landscape patterns. Based on MSPA and MCR models, the article analyses the distribution and changes of landscape types in the Haihe River basin and constructs an ecological network in the study area by combining the local ecological characteristics of the basin. The network structure is optimized in the end by selecting three large stepping stones, constructing 69 internal ecological stepping stones, identifying 212 fracture points, and adding seven ecological corridors to build a point-line surface network structure with an internal and external double-loop structure. The connectivity of the network structure is evaluated by using complex network method. It is calculated that the network connectivity performance is improved by 13.95% after optimization, which means the species exchange in the study area is closer.
引用
收藏
页数:21
相关论文
共 31 条
[1]   Construction and optimization of an ecological network based on morphological spatial pattern analysis and circuit theory [J].
An, Yi ;
Liu, Shiliang ;
Sun, Yongxiu ;
Shi, Fangning ;
Beazley, Robert .
LANDSCAPE ECOLOGY, 2021, 36 (07) :2059-2076
[2]   Model explorations of ecological network performance under conditions of global change [J].
Bakker, Martha M. ;
Opdam, Paul F. M. ;
Jongman, Rob H. G. ;
Van den Brink, Adri .
LANDSCAPE ECOLOGY, 2015, 30 (05) :763-770
[3]   基于MSPA与景观连通性分析的城市生态网络构建——以保山市隆阳区为例 [J].
陈静 ;
左翔 ;
彭建松 ;
区智 ;
孙正海 .
西部林业科学, 2020, (04) :118-123+141
[4]   Oriented Object Detection by Searching Corner Points in Remote Sensing Imagery [J].
Chen, Xueqing ;
Ma, Li ;
Du, Qian .
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
[5]  
Cui K., 2022, Hubei Agric. Sci., V61, P217, DOI [10.14088/j.cnki.issn0439-8114.2022.S1.045.+228, DOI 10.14088/J.CNKI.ISSN0439-8114.2022.S1.045.+228, 10.14088/j.cnki.issn0439-8114.2022.S1.045, DOI 10.14088/J.CNKI.ISSN0439-8114.2022.S1.045]
[6]  
[黄雪飞 Huang Xuefei], 2019, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V35, P243
[7]   Identification of ecological networks for land-use planning with spatial conservation prioritization [J].
Jalkanen, Joel ;
Toivonen, Tuuli ;
Moilanen, Atte .
LANDSCAPE ECOLOGY, 2020, 35 (02) :353-371
[8]  
[姜明 JIANG Ming], 2009, [湿地科学, Wetland Science], V7, P99
[9]   Using a Bayesian network model to assess ecological responses to hydrological factor interactions [J].
Kath, Jarrod M. ;
Le Brocque, Andrew F. ;
Maron, Martine .
ECOHYDROLOGY, 2016, 9 (01) :11-20
[10]   Complexity and stability of ecological networks: a review of the theory [J].
Landi, Pietro ;
Minoarivelo, Henintsoa O. ;
Brannstrom, Ake ;
Hui, Cang ;
Dieckmann, Ulf .
POPULATION ECOLOGY, 2018, 60 (04) :319-345