Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Oceanography
Link
https://link.springer.com/content/pdf/10.1007/s00343-021-1040-y.pdf
Reference47 articles.
1. Chen Y L, Wan J H, Zhang J, Ma Y J, Wang L, Zhao J H, Wang Z Z. 2019. Spatial-temporal distribution of golden tide based on high-resolution satellite remote sensing in the south Yellow Sea. Journal of Coastal Research, 90(S1): 221–227, https://doi.org/10.2112/SI90-027.1.
2. Cui T W, Zhang J, Sun L E, Jia Y J, Zhao W J, Wang Z L, Meng J M. 2012. Satellite monitoring of massive green macroalgae bloom (GMB): imaging ability comparison of multi-source data and drifting velocity estimation. International Journal of Remote Sensing, 33(17): 5513–5527, https://doi.org/10.1080/01431161.2012.663112.
3. Fu Q Q, Li H X, Wu H L, Xu J T. 2018. Effects of light intensity on photosynthetic physiology characteristic and short-time temperature reaction of Ulva linza. Oceanologia et Limnologia Sinica, 49(5): 967–974, https://doi.org/10.11693/hyhz20180400074. (in Chinese with English abstract)
4. Gao G, Clare A S., Rose C, Caldwell G S. 2017. Intrinsic and extrinsic control of reproduction in the green tide-forming alga, Ulva rigida. Environmental and Experimental Botany, 139: 14–22, https://doi.org/10.1016/j.envexpbot.2017.03.016.
5. Gower J, Young E, King S. 2013. Satellite images suggest a new Sargassum source region in 2011. Remote Sensing Letters, 4(8): 764–773, https://doi.org/10.1080/2150704X.2013.796433.
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. All-Weather Monitoring of Ulva prolifera in the Yellow Sea Based on Sentinel-1, Sentinel-3, and NPP Satellite Data;Remote Sensing;2023-12-18
2. Multi-Factors Synthetically Contribute to Ulva prolifera Outbreaks in the South Yellow Sea of China;Remote Sensing;2023-10-27
3. Effects of Ulva prolifera dissipation on the offshore environment based on remote sensing images and field monitoring data;Acta Oceanologica Sinica;2023-06
4. Distinguishing Ulva prolifera and Sargassum horneri by using multi-feature-based ResUnet algorithm;Marine Geodesy;2023-05-03
5. Environmental variables affecting Sargassum distribution in the East China Sea and the Yellow Sea;Frontiers in Marine Science;2022-12-08
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3