Your Location:
Home >
Browse articles >
Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China
Continued from the back cover | Updated:2023-05-20
    • Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China

    • Journal of Oceanology and Limnology   Vol. 40, Issue 3, Pages: 1070-1084(2022)
    • DOI:10.1007/s00343-021-1040-y    

      CLC:
    • Published:2022-03

    Scan QR Code

  • Longxiao ZHENG, Mengquan WU, Min ZHOU, et al. Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China[J]. Journal of Oceanology and Limnology, 2022, 40(3): 1070-1084. DOI: 10.1007/s00343-021-1040-y.

  •  
  •  
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

0

Views

3

Downloads

4

CSCD

Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

S-nitrosylation coordination enhances high salt tolerance in Ulva prolifera
Ulva prolifera subpixel mapping with multiple-feature decision fusion
Tempo-spatial distribution of Ulva spp. micro-propagules in the Yellow Sea during and after green tide in 2019
Comparative chloroplast genomes of Ulva prolifera and U. linza (Ulvophyceae) provide genetic resources for the development of interspecific markers
Potential of Ulva prolifera in phytoremediation of seawater polluted by cesium and cobalt: an experimental study on the biosorption and kinetics

Related Author

Dongren ZHANG
Xiuwen YANG
Jingwei DONG
Hongyan HE
Aurang ZEB
Ruyi SONG
Bing HAN
Songdong SHEN

Related Institution

School of Basic Medical Sciences, Soochow University
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources (MNR)
National Satellite Ocean Application Service
Qingdao Ecological and Environment Monitoring Center of Shandong Province
College of Oceanography and Space Informatics, China University of Petroleum (East China)
0