Anterior|Siguiente

Spatial distribution pattern of mangrove community in tidal flats of the Qinjiang Estuary

  • role： First author第一作者
  • Affiliation：

    Qinzhou Key Laboratory for Eco-Restoration of Environment, Beibu Gulf University, Qinzhou 535011, China

    Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China

  • Email：wangriming@bbgu.edu.cn
  • Introduction：王日明，研究方向为滨海景观生态修复。E-mail： wangriming@bbgu.edu.cn
WANG Riming12,  
  • Affiliation：

    Qinzhou Key Laboratory for Eco-Restoration of Environment, Beibu Gulf University, Qinzhou 535011, China

    State Key Laboratory of Estuarine and Costal Research, East China Normal University, Shanghai 200062 ,China

LIANG Xixing13,  
  • Affiliation：

    State Key Laboratory of Estuarine and Costal Research, East China Normal University, Shanghai 200062 ,China

ZHOU Xiaoyan3,  
  • Affiliation：

    Guangxi Key Laboratory of Marine Disaster in the Beibu Gulf, Beibu Gulf University, Qinzhou 535011, China

HUANG Hu2,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Estuarine and Costal Research, East China Normal University, Shanghai 200062 ,China

  • Email：zjdai@sklec.ecnu.edu.cn
  • Introduction：戴志军，研究方向为河海相互作用及生物动力地貌过程。E-mail： zjdai@sklec.ecnu.edu.cn
DAI Zhijun3*

resumen

Mangrove community is a special ecosystem along tropical and subtropical estuaries. It has important values in attenuating large waves, promoting silting, and storing carbon. However, due to the global sea level rise and human disturbances, mangrove habitats have been destroyed with fragile community structures. Therefore, based on the UAV orthophoto image with field verification, historical remote sensing images, water salinity, and sediment samples in tidal flats along the Qinjiang estuary, the spatial distribution patterns of mangrove community in the tidal flat and associated influence factors of the Qinjiang estuary were analyzed. The results are as follows: (1) Tidal flats of the Qinjiang estuary mainly consist of A. corniculatum and S. apetala, where the “mangrove pure forest community” with A. corniculatum is an absolutely dominant species in this area. Meanwhile, gradually developed patterns from “mangrove pure forest community” in the estuarine tidal flats are found in the combination of “mangrove plant–semi-mangrove plant” and “mangrove plant–semi-mangrove plant–non-mangrove plant” in the tidal reach. (2) A. corniculatum is the frontier pioneer tree species of the seaward grown mangroves in the Qinjiang estuary. The forefront elevation of the A. corniculatum biennial seedling distribution is 0.11 m below local sea level, and the forefront elevation of A. corniculatum viviparous seedling distribution is 0.37 m below local sea level. Meanwhile, the distributed limit of the mangroves in the upstream of the Qinjiang Estuary is A. corniculatum, where the location of distribution limit in viviparous seedlings in that year is 10.18 km away from HS00 station. (3) The tidal water level and salinity of the Qinjiang estuary are the main driving factors for the distribution of mangrove communities, and the growth and development of mangrove plants were determined by the variations in grain size of sediments. These findings can provide theoretical and technical guidance for the present ecological restoration projects of mangrove communities in the mountainously tropical- estuaries of the world.

palabra clave

remote sensing;Mangrove community;distribution of limit;unmanned aerial vehicle orthoimage;estuarine tidal flat;Qinjiang estuary

References

  1. 1.
    Chang T, Wu Z Q, Huang L L, Geng J J, Zhu Z J and Wu W L. 2015. Community structures of fish larvae and its relation with environmental factors in the mangrove of Maoweihai Bay. Journal of Applied Oceanography, 34(02): 219-226
  2. 2.
    Chen C P, Wang W Q and Lin P. 2000. Influences of salinity on the growth and some ecophysiological Characteristics of Mangrove species, Sonneratia apetala Seedlings. Chinese Bulletin of Botany, 17(5): 457-461
  3. 3.
    Chen Y J, Chen W P, Zheng S F, Zheng D Z, Liao B W and Song X Y. 2001. Researches on the mangrove plantation in Panyu, Guangdong. Ecologic Science, 20(1/2): 25-31
  4. 4.
    Doyle T W, Krauss K W and Wells C J. 2009. Landscape analysis and pattern of hurricane impact and circulation on mangrove Forests of the Everglades. Wetlands, 29(1): 44-53
  5. 5.
    Feng J L, Liu K, Zhu Y H, Li Y, Liu L and Meng L. 2015. Application of unmanned aerial vehicles to mangrove resources monitoring. Tropical Geography, 35(1): 35-42
  6. 6.
    Hu T Y, Zhang Y Y, Su Y J, Zheng Y, Lin G H and Guo Q H. 2020. Mapping the global mangrove forest aboveground biomass using multisource remote sensing data. Remote Sensing, 12(10): 1690
  7. 7.
    Jia M M. 2014. Remote Sensing Analysis of China’s Mangrove Forests Dynamics During 1973 to 2013. Changchun: Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
  8. 8.
    Jia M M, Wang Z M, Li L, Song K S, Ren C Y, Liu B and Mao D H. 2014. Mapping China’s mangroves based on an object-oriented classification of Landsat imagery. Wetlands, 34(2): 277-283
  9. 9.
    Jiang P. 2011. Study on Soil Anti-Erodibility Characteristics of Red Soil Slope Land in South China Under Hedgerow Planted. Hangzhou: Zhejiang University
  10. 10.
    Kovacs J M, De Santiago F F, Bastien J and Lafrance P. 2010. An assessment of mangroves in Guinea, West Africa, using a field and remote sensing based approach. Wetlands, 30(4): 773-782
  11. 11.
    Li B F, Feng H and Wu P T. 2007. Studies on optimum low limits of soil moisture index for deficit irrigation of crops. Agricultural Research in the Arid Areas, 25(3): 227-231
  12. 12.
    Li C G. 2002. Review on mangrove mapping base on remote sensing. Central South Forest Inventory and Planning, 21(4): 52-55, 58
  13. 13.
    Li C G and Dai H B. 2015. Mechanism analysis of temporal dynamics in mangrove spatial distribution in Guangxi, China: 1960-2010. Acta Ecologica Sinica, 35(18): 5992-6006
  14. 14.
    Liao B W. 2010. The Adaptability of Seedlings of Three Mangrove Species to Tide-flooding and Water Salinity. Beijing: Chinese Academy of Forestry
  15. 15.
    Liao Y, Lan Z H and Chen G Z. 2007. The effect of salt stress on membrane protection system for roots, stems and leaves of Rhizophora stylosa seedlings. Ecology and Environment, 16(5): 1449-1454
  16. 16.
    Liu D H, Liao W L, Deng F D, Chen Z T and Zhou J F. 2020. Effects of salt stress on germination characteristics of Clerodendrum inerme seeds. Forestry and Environmental Science, 36(1): 68-72
  17. 17.
    Long C Q, Dai Z J, Wang R M, Lou Y Y, Zhou X Y, Li S S and Nie Y H. 2022. Dynamic changes in mangroves of the largest delta in northern Beibu Gulf, China: Reasons and causes. Forest Ecology and Management, 504(2022) 119855
  18. 18.
    Long C Q, Dai Z J, Zhou X Y, Mei X F and Van C M. 2021. Mapping mangrove forests in the Red River Delta, Vietnam. Forest Ecology and Management, 483: 118910
  19. 19.
    Lovelock C, Cahoon D R, Friess D A, Guntenspergen G R, Krauss K W, Reef R, Rogers K, Saunders M L, Sidik F, Swales A, Saintilan N, Thuyen L X and Triet T. 2015. The vulnerability of Indo-Pacific mangrove forests to sea-level rise. Nature, 526(7574): 559-563
  20. 20.
    Mazzini A, Svensen H, Akhmanov G G, Aloisi G, Planke S, Malthe-Sørenssen A and Istadi B. 2007. Triggering and dynamic evolution of the LUSI mud volcano, Indonesia. Earth and Planetary Science Letters, 261(3/4): 375-388
  21. 21.
    Proisy C, Couteron P and Fromard F. 2007. Predicting and mapping mangrove biomass from canopy grain analysis using Fourier-based textural ordination of IKONOS images. Remote Sensing of Environment, 109(3): 379-392
  22. 22.
    Rumondang A L, Kusmana C and Budi S. W, 2022. Species composition and structure of mangrove forest exposed to plastic waste in Angke Kapuk mangrove protected forest, Jakarta. IOP Conference Series: Earth and Environmental Science, 950(1)
  23. 23.
    Satyanarayana B, Mohamad K A, Idris I F, Husain M L and Dahdouh-Guebas F. 2011. Assessment of mangrove vegetation based on remote sensing and ground-truthme asurements at Tumpat, Kelantan Delta, East Coast of Peninsular Malaysia. International Journal of Remote Sensing, 32(6): 1635-1650
  24. 24.
    Shah D G, Bahuguna A, Deshmukh B, Nayak S R, Singh H S and Patel B H. 2005. Zoning and monitoring dominant mangrove communities of a part of the marine national park, Gulf of Kachchh. Journal of the Indian Society of Remote Sensing, 33(1): 155-163
  25. 25.
    Simard M, de Grandi G E, Saatchi S and Mayaux P. 2002. Mapping tropical coastal vegetation using JERS-1 and ERS-1 radar data with a decision tree classifier. International Journal of Remote Sensing, 23(7): 1461-1474
  26. 26.
    Song F M, Zhou J, Liu W Z and Wu Z. 2017. Research progress on application of salt tolerant wetland plants. Tianjin Agricultural Sciences, 23(9): 101-109
  27. 27.
    Wang L, Jia M M, Yin D M and Tian J Y. 2019. A review of remote sensing for mangrove forests: 1956-2018. Remote Sensing of Environment, 231: 111223
  28. 28.
    Wang R M, Dai Z J, Huang H, Liang X X, Li S S, Hu B Q, Zhou X Y and Wu T L. 2020. Spatial patterns of the mangrove along the riverine estuaries, Nanliujiang River and Dafengjiang River of the Beibu Gulf. Haiyang Xuebao, 42(12): 54-61
  29. 29.
    Wang W Q and Lin P. 1999. Influence of substrate salintity on the growth of mangrove species of Bruguiera gymnorrhiza Seedling. Journal of Xiamen University (Natural Science), 38(2): 273-279
  30. 30.
    Woodroffe C D, Rogers K, McKee K L, Lovelock C E, Mendelssohn I A and Saintilan N. 2016. Mangrove sedimentation and response to relative sea-level rise. Annu. Rev. Mar. Sci., 8, 243-266
  31. 31.
    Wulder M A, White J C, Nelson R F, Næsset E, Ørka H O, Coops N C, Hilker T, Bater C W and Gobakken T. 2012. Lidar sampling for large-area forest characterization: a review. Remote Sensing of Environment, 121: 196-209
  32. 32.
    Ye Y, Lu C Y, Hu H Y and Tan F Y. 2004. Comparisons of tolerances to salt stress among three salt-secreting mangrove species. Acta Ecologica Sinica, 24(11): 2444-2450
  33. 33.
    You H M. 2015. Adaptability of mangrove Kandelia obovata seedlings to salinity-waterlogging. Chinese Journal of Applied Ecology, 26(3): 675-680
  34. 34.
    Zhu H, Hu H Y and Lu C Y. 2008. Effects of salinity on the germination and growth of a medicinal mangrove plant: Acanthus ilicifolius. Journal of Xiamen University (Natural Science), 47(1): 131-135

Leer el texto completo

The above content is generated by Large Model Translation. The translated content is for reference only. We do not assume any commercial or legal responsibilty for any consequences arising from the use of our website