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.
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