Spatial and temporal distribution of submerged aquatic vegetation in a tropical coastal lagoon habitat in Viet Nam

2018 ◽  
Vol 61 (3) ◽  
pp. 213-224 ◽  
Author(s):  
T.T. Hang Phan ◽  
Iris Stiers ◽  
T.T. Huong Nguyen ◽  
T. Tuyet Pham ◽  
T. Phap Ton ◽  
...  
Keyword(s):  
Coastal Lagoon ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Coastal Lagoons ◽  
Predictor Variable ◽  
Viet Nam ◽  
Total Biomass ◽  
Sediment Types ◽  
Najas Indica ◽  
Wide Range

Abstract Submerged aquatic vegetation (SAV) is considered as a keystone habitat, contributing significantly to structure and function of coastal lagoons. However, limited understanding of the factors driving SAV distribution and abundance across a wide range of salinity in tropical coastal lagoons has restricted the effectiveness of managing and preserving the ecosystem services in coastal lagoon habitats. This study examined the distribution and abundance of SAV species in the growing season in relation to water physico-chemical variables and grain sizes of sediment types in a tropical lagoon in Viet Nam. The results revealed that Najas indica and Halophila beccarii were the dominant species in the community of 7 SAV species, accounting for 70% of the total cover and 55% of the total biomass sampled. Variation partitioning showed that both water and sediment variables were important in explaining spatial distribution and abundance of SAV species across the coastal lagoon. Salinity was the most significant predictor variable that accounted for the variation of SAV species data. The study implied that changes of salinity and silt (versus sand) particles can lead to different SAV assemblages in the lagoon.

scholarly journals Large-Scale Mapping and Predictive Modeling of Submerged Aquatic Vegetation in a Shallow Eutrophic Lake

2002 ◽  
Vol 2 ◽  
pp. 949-965 ◽  
Author(s):  
Karl E. Havens ◽  
Matthew C. Harwell ◽  
Mark A. Brady ◽  
Bruce Sharfstein ◽  
Therese L. East ◽  
...  
Keyword(s):  
Large Scale ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Eutrophic Lake ◽  
Sediment Type ◽  
Gis Technology ◽  
General Utility ◽  
Sediment Types ◽  
Wide Range ◽  
Sampling Program

A spatially intensive sampling program was developed for mapping the submerged aquatic vegetation (SAV) over an area of approximately 20,000 ha in a large, shallow lake in Florida, U.S. The sampling program integrates Geographic Information System (GIS) technology with traditional field sampling of SAV and has the capability of producing robust vegetation maps under a wide range of conditions, including high turbidity, variable depth (0 to 2 m), and variable sediment types. Based on sampling carried out in AugustœSeptember 2000, we measured 1,050 to 4,300 ha of vascular SAV species and approximately 14,000 ha of the macroalga Chara spp. The results were similar to those reported in the early 1990s, when the last large-scale SAV sampling occurred. Occurrence of Chara was strongly associated with peat sediments, and maximal depths of occurrence varied between sediment types (mud, sand, rock, and peat). A simple model of Chara occurrence, based only on water depth, had an accuracy of 55%. It predicted occurrence of Chara over large areas where the plant actually was not found. A model based on sediment type and depth had an accuracy of 75% and produced a spatial map very similar to that based on observations. While this approach needs to be validated with independent data in order to test its general utility, we believe it may have application elsewhere. The simple modeling approach could serve as a coarse-scale tool for evaluating effects of water level management on Chara populations.

Salinity as a Major Driver for Submerged Aquatic Vegetation in Coastal Lagoons: a Multi-Year Analysis in the Subtropical Laguna de Rocha

2014 ◽  
Vol 38 (2) ◽  
pp. 451-465 ◽  
Author(s):  
Lorena Rodríguez-Gallego ◽  
Viveka Sabaj ◽  
Silvana Masciadri ◽  
Carla Kruk ◽  
Rafael Arocena ◽  
...  
Keyword(s):  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Coastal Lagoons

Does the relative value of submerged aquatic vegetation for penaeid shrimps vary with proximity to a tidal inlet? Preliminary evidence from a subtropical coastal lagoon

2017 ◽  
Vol 68 (3) ◽  
pp. 581 ◽  
Author(s):  
Zeferino Blanco-Martínez ◽  
Roberto Pérez-Castañeda
Keyword(s):  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Explanatory Variable ◽  
Coastal Lagoons ◽  
Penaeid Shrimp ◽  
Preliminary Evidence ◽  
Tidal Inlet ◽  
Relative Value ◽  
A Site ◽  
Shrimp Abundance

The value of submerged aquatic vegetation (SAV) as a nursery habitat for penaeid shrimp has been recognised previously; however, the importance of SAV in terms of its distance from a tidal inlet (a site through which shrimp postlarvae migrate into coastal lagoons) has not been evaluated. In the present study, the effect of proximity to a tidal inlet on the relative importance of SAV beds for Farfantepenaeus shrimp was evaluated in the Laguna Madre of Tamaulipas (Mexico). Sampling was performed monthly from February to December 2005, diurnally and nocturnally, in two SAV bed areas, one 25km (distant) and the other 1km (nearby) from the inlet. Densities of shrimp (F. aztecus, F. duorarum and F. brasiliensis) were consistently higher in the nearby SAV bed during both the day and night. Water temperature was the most important explanatory variable of shrimp abundance in both SAV beds. The temperature–abundance relationship was negative in all cases, except in the distant SAV bed at night, when shrimp abundance was positively related to dissolved oxygen and salinity. The nearby SAV bed had higher recruit abundance and supported a greater numbers of juveniles and subadults. In contrast, shrimp abundance in the distant SAV bed was apparently limited by recruitment.

Seasonal changes in the abundance and distribution of submerged aquatic vegetation in a highly managed coastal lagoon

Hydrobiologia ◽  
2007 ◽  
Vol 596 (1) ◽  
pp. 105-120 ◽  
Author(s):  
D. Lirman ◽  
G. Deangelo ◽  
J. Serafy ◽  
A. Hazra ◽  
D. Smith Hazra ◽  
...  
Keyword(s):  
Coastal Lagoon ◽  
Seasonal Changes ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Abundance And Distribution

scholarly journals Remote sensing of submerged aquatic vegetation: an introduction and best practices review

2020 ◽  
Author(s):  
Gillian Rowan ◽  
Margaret Kalacska
Keyword(s):  
Remote Sensing ◽  
Best Practices ◽  
Large Scale ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Global Climate ◽  
Underwater Environment ◽  
Sensor Platform ◽  
Wide Range ◽  
Optical Imagery

Submerged aquatic vegetation (SAV) is a critical component of aquatic ecosystems. It is however understudied and rapidly changing due to global climate change and anthropogenic disturbances. Remote sensing can provide the efficient, accurate and large-scale monitoring needed to ensure proper SAV management. Our objective is to introduce remote sensing to researchers in the field of aquatic ecology. Applying remote sensing to the underwater environment is more complex in comparison to terrestrial studies due to the water column. A wide range of sensors and platforms from remotely operated vehicles to satellites are available for use in the underwater environment, a sample of which being presented herein. The utility of any sensor/platform combination varies depending on the aquatic conditions being observed. An overview of the required corrections, processing, and analysis methods for passive optical imagery is presented and discussed. Previous applications of remote sensing to identify and detecting SAV are briefly presented and notable results and lessons are discussed.

Distribution of Farfantepenaeus aztecus and F. duorarum on submerged aquatic vegetation habitats along a subtropical coastal lagoon (Laguna Madre, Mexico)

2009 ◽  
Vol 90 (3) ◽  
pp. 445-452 ◽  
Author(s):  
Roberto Pérez-Castañeda ◽  
Zeferino Blanco-Martínez ◽  
Jesús Genaro Sánchez-Martínez ◽  
Jaime L. Rábago-Castro ◽  
Gabriel Aguirre-Guzmán ◽  
...  
Keyword(s):  
Coastal Lagoon ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Negative Relationship ◽  
Laguna Madre ◽  
Farfantepenaeus Aztecus ◽  
Seagrass Biomass ◽  
Hypersaline Coastal Lagoon ◽  
Drifting Algae ◽  
Shrimp Abundance

The spatial distribution of Farfantepenaeus shrimp was analysed in the Laguna Madre of Tamaulipas, Mexico. Sampling was carried out on submerged aquatic vegetation (SAV) habitats at five sites located along the coastal lagoon. Two nocturnal surveys were conducted during winter in 2005 (January–February), collecting a total of 3268 shrimp individuals. SAV beds were composed of a mixture of drift algae (mainly Digenia simplex), attached algae (mainly Penicillus capitatus and Udotea occidentalis) and seagrass (mainly Halodule wrightii). Farfantepenaeus aztecus was more abundant (39.5%) than F. duorarum (36.8%), and the remaining 23.7% corresponding to small unidentified Farfantepenaeus spp. were classified as recruits. Abundance of F. aztecus was significantly higher at sites 2 and 4, whereas F. duorarum did not show significant distribution differences along the Laguna Madre. Recruits, juveniles and total shrimp tended to decrease significantly at the northern part of the lagoon (site 1), where substrate was dominated by drifting algae and seagrasses were scarce or absent. The abundance of shrimp was positively related to seagrass biomass and/or water temperature, whereas there was a negligible or negative relationship with algal biomass. With the exception of subadults, a significant positive linear relationship between seagrass and shrimp abundance was fitted, indicating an increase in number of individuals of both species with increasing seagrass biomass. This suggests that seagrass is the most important component of SAV beds influencing the abundance of F. aztecus and F. duorarum along this hypersaline coastal lagoon.

scholarly journals Novel approach for large‐scale monitoring of submerged aquatic vegetation – a nationwide example from Sweden

2021 ◽  
Author(s):  
Silvia Huber ◽  
Lars B. Hansen ◽  
Lisbeth T. Nielsen ◽  
Mikkel L. Rasmussen ◽  
Jonas Sølvsteen ◽  
...  
Keyword(s):  
Large Scale ◽  
Submerged Aquatic Vegetation ◽  
Aquatic Vegetation ◽  
Novel Approach
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