Literature DB >> 31590831

Single beam sonar reveals the distribution of the eelgrass Zostera marina L. and threats from the green tide algae Chaetomorpha linum K. in Swan-Lake lagoon (China).

Shuai Xu1, Shaochun Xu1, Yi Zhou2, Peng Zhao3, Shidong Yue1, Xiaoyue Song1, Xiaomei Zhang4, Ruiting Gu1, Peiliang Wang5, Yu Zhang1.   

Abstract

Seagrass meadows are declining at alarming rates globally due to both anthropogenic activities and natural threats. Seagrasses play key ecological roles in coastal ecosystems as primary producers and providers of habitat and environmental structure. Therefore, mapping seagrass beds is indispensable for the effective monitoring and management of coastal vegetated habitats. In contrast to direct sampling techniques and optical remote sensing, active hydroacoustic techniques are relatively inexpensive and efficient for the detection of seagrass. We used a single beam echosounder to detect the spatial and temporal distribution characteristics of the eelgrass Zostera marina L. in an important overwintering habitat for the whooper swan Cygnus cygnus (Swan-Lake lagoon), northern China. We also distinguished echograms of the macroalgae Chaetomorpha linum K. and outlined its threat to seagrass. We also propose a method for calculating the accuracy of interpolation analyses. Results showed that: (1) The distribution of seagrass in Swan Lake varies with seasons, with maximum distribution area in summer. The maximum distribution area of seagrass beds in Swan Lake was 199.09 ha-231.67 ha, accounting for 41.48%-48.26% of the area of Swan Lake; (2) C. linum is a growing threat for seagrass beds of Swan-lake, with distribution area as high as 129.28 ha in May 2018. The invasion and competition by C. linum against seagrass beds could be one of the reasons for the decline in seagrass beds in Swan-Lake; (3) Topo to Raster has the highest interpolation accuracy and is the most conservative among three interpolation methods. Topo to Raster was the most suitable interpolation method for the sonar detection of seagrass beds. The findings may facilitate the application of sonar technology in seagrass monitoring and provide data for the formulation of appropriate seagrass bed management and restoration strategies and policies.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Chaetomorpha linum; Green tide macroalgae; Mapping; Seagrass beds; Single beam echosounder; Swan Lake; Zostera marina

Mesh:

Year:  2019        PMID: 31590831     DOI: 10.1016/j.marpolbul.2019.06.022

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  2 in total

1.  In situ Responses of the Eelgrass Zostera marina L. to Water Depth and Light Availability in the Context of Increasing Coastal Water Turbidity: Implications for Conservation and Restoration.

Authors:  Shaochun Xu; Pengmei Wang; Feng Wang; Peng Liu; Bingjian Liu; Xiaomei Zhang; Shidong Yue; Yu Zhang; Yi Zhou
Journal:  Front Plant Sci       Date:  2020-12-15       Impact factor: 5.753

2.  Reciprocal Field Transplant Experiment and Comparative Transcriptome Analysis Provide Insights Into Differences in Seed Germination Time of Two Populations From Different Geographic Regions of Zostera marina L.

Authors:  Yu Zhang; Shaochun Xu; Shidong Yue; Xiaomei Zhang; Yongliang Qiao; Mingjie Liu; Yi Zhou
Journal:  Front Plant Sci       Date:  2022-01-18       Impact factor: 5.753

  2 in total

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