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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)
2019
Xu, Shuai | Xu, Shaochun | Zhou, Yi | Zhao, Peng | Yue, Shidong | Song, Xiaoyue | Zhang, Xiaomei | Gu, Ruiting | Wang, Peiliang | Zhang, Yu
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.
اظهر المزيد [+] اقل [-]Growth and physiological features of Chaetomorpha linum (Müller) Kütz. in high density mats
2018
Sorce, Carlo | Persiano Leporatti, Marco | Lenzi, Mauro
Seasonal changes of high density Chaetomorpha linum mats were studied in an eutrophic coastal lagoon. We measured biomass and specific growth rate and analyzed water quality, sediment labile organic matter (LOM), photosynthetic efficiency and pigments in two areas: one subjected to sediment resuspension and algal mass shuffling through specific boats and the other left undisturbed. Low disturbance enhanced algal survival under critical summer conditions, by reducing LOM and promoting growth through thalli fragmentation. Chaetomorpha linum grew fast and quickly acclimated its physiology to adverse conditions, although the mat underlayer showed low photosynthetic efficiency. Nevertheless, the ability to respond to the adverse environment was not sufficient to prevent the sudden algal decay, which occurred following a prolonged summer stress. Present results may help to plan the lagoon management through boat operations, to attain a more effective control over the algal growth and a more efficient removal of the mat.
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