Biological connectivity and its driving mechanisms in the Liaohe Delta wetland, China

被引:11
作者
Chen, Kexin [1 ,2 ]
Cong, Pifu [2 ]
Qu, Limei [2 ]
Liang, Shuxiu [1 ]
Sun, Zhaochen [1 ]
Han, Jianbo [2 ]
机构
[1] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, 2 Linggong Rd, Dalian 116024, Peoples R China
[2] Natl Marine Environm Monitoring Ctr, 42 Linghe St, Dalian 116023, Liaoning, Peoples R China
关键词
Biological connectivity; Wetlands; Invest model; Connectivity index; MaxEnt model; POPULATIONS;
D O I
10.1016/j.ecoinf.2023.102028
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Biological connectivity plays a cricial role in maintaining biodiversity and ecosystem function. However, it is poorly understood how to quantify biological connectivity and investigate its mechanisms in estuarine wetlands. In order to address this issue, this study aims to quantify biological connectivity in the Liaohe Delta wetland by utilizing three complementary approaches: the habitat quality simulation, the vegetation connectivity index, and the maximum entropy model. These approaches focused on habitat quality, vegetation, and bird species, respectively. The established criteria for assessing vegetation connectivity blockage and the jackknife method were utilized to identify the primary drivers of biological connectivity. The study found that (1) Habitat quality declined from 1976 to 2020, with a total decrease of 3.2 x 106. (2) Vegetation patches have more fragmented and less connected over the last 45 years. There was also a higher vegetation probability density of Phragmites australis than Suaeda salsa. The area of unchanged P. australis was concentrated within the nature reserve, while the area of unchanged S. salsa was 0, indicating that P. australis was more affected than S. salsa. The vegetation connectivity blockage was 33.16%, with human activities having a greater impact compared to natural suc-cession. (3) The area of suitable habitat for birds constituted 27.48% of the study area. Distance to S. salsa was the main driving factor, followed by the distance to intertidal muds, paddy fields, P. australis, and water sources. The results demonstrate that biological connectivity has generally declined over time, with human activities being a significant contributor. Our efforts to quantify biological connectivity provided clear spatial and tem-poral information on the trends and drivers of biological connectivity in the Liaohe Delta wetland. The results of this study can provide valuable information for conservation efforts aimed at preserving wetland biodiversity.
引用
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页数:12
相关论文
共 53 条
  • [1] Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin
    Abbaszadeh Tehrani, Nadia
    Mohd Shafri, Helmi Zulhaidi
    Salehi, Sara
    Chanussot, Jocelyn
    Janalipour, Milad
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION, 2022, 13 (02) : 180 - 205
  • [2] The impacts of land-use changes on the recovery of saltmarshes in Portugal
    Almeida, Diana
    Neto, Carlos
    Esteves, Luciana S.
    Costa, Jose Carlos
    [J]. OCEAN & COASTAL MANAGEMENT, 2014, 92 : 40 - 49
  • [3] Successful conservation of global waterbird populations depends on effective governance
    Amano, Tatsuya
    Szekely, Tamas
    Sandel, Brody
    Nagy, Szabolcs
    Mundkur, Taej
    Langendoen, Tom
    Blanco, Daniel
    Soykan, Candan U.
    Sutherland, William J.
    [J]. NATURE, 2018, 553 (7687) : 199 - +
  • [4] Salt marsh fragmentation in a mesotidal estuary: Implications for medium to long-term management
    Aranda, M.
    Peralta, G.
    Montes, J.
    Gracia, F. J.
    Fivash, G. S.
    Bouma, T. J.
    van der Wal, D.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 846
  • [5] Integrating two landscape connectivity models to quantify the priorities of wetland conservation and reclamation restoration at multiple scales: A case study in the Yellow River Delta
    Bi, Xiaoli
    Wu, Yuru
    Meng, Ling
    Wu, Jingjing
    Li, Yunzhao
    Zhou, Shiwei
    Pan, Xubin
    [J]. OCEAN & COASTAL MANAGEMENT, 2022, 229
  • [6] A birds-eye view of biological connectivity in mangrove systems
    Buelow, Christina
    Sheaves, Marcus
    [J]. ESTUARINE COASTAL AND SHELF SCIENCE, 2015, 152 : 33 - 43
  • [7] Predicting Dynamics of the Potential Breeding Habitat of Larus saundersi by MaxEnt Model under Changing Land-Use Conditions in Wetland Nature Reserve of Liaohe Estuary, China
    Chang, Yu
    Chang, Chang
    Li, Yuxiang
    Liu, Miao
    Lv, Jiujun
    Hu, Yuanman
    [J]. REMOTE SENSING, 2022, 14 (03)
  • [8] Annual variation of the landscape pattern in the Liao River Delta wetland from 1976 to 2020
    Chen, Kexin
    Cong, Pifu
    Qu, Limei
    Liang, Shuxiu
    Sun, Zhaochen
    [J]. OCEAN & COASTAL MANAGEMENT, 2022, 224
  • [9] Landscape pattern changes and its drivers inferred from salt marsh plant variations in the coastal wetlands of the Liao River Estuary, China
    Chen, Xu
    Zhang, Mingliang
    Zhang, Wanchang
    [J]. ECOLOGICAL INDICATORS, 2022, 145
  • [10] Evolution and Prediction of Landscape Pattern and Habitat Quality Based on CA-Markov and InVEST Model in Hubei Section of Three Gorges Reservoir Area (TGRA)
    Chu, Lin
    Sun, Tiancheng
    Wang, Tianwei
    Li, Zhaoxia
    Cai, Chongfa
    [J]. SUSTAINABILITY, 2018, 10 (11):