Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-07T02:05:50.446Z Has data issue: false hasContentIssue false

Species-specific effects of seagrass on belowground biomass, redox potential and Pillucina vietnamica (Lucinidae)

Published online by Cambridge University Press:  29 June 2015

Ekkalak Rattanachot
Affiliation:
Seaweed and Seagrass Research Unit, Excellence Centre for Biodiversity of Peninsular Thailand, Department of Biology, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand
Anchana Prathep*
Affiliation:
Seaweed and Seagrass Research Unit, Excellence Centre for Biodiversity of Peninsular Thailand, Department of Biology, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand
*
Correspondence should be addressed to: A. Prathep, Seaweed and Seagrass Research Unit, Excellence Centre for Biodiversity of Peninsular Thailand, Department of Biology, Faculty of Science, Prince of Songkla University, Hat Yai, Songkhla 90112, Thailand email: anchana.p@psu.ac.th
Rights & Permissions [Opens in a new window]

Abstract

The network of roots and rhizomes of seagrasses plays an important role in coastal ecosystems by anchoring the substrate firmly, controlling the biogeochemistry of the sediments and providing habitat for many infaunal organisms. The purpose of this study was to compare five seagrass communities in southern Thailand in terms of species composition, belowground biomass, redox potential and the abundance of the dominant bivalve Pillucina vietnamica. The communities of Halophila ovalis, Cymodocea rotundata, Thalassia hemprichii, H. ovalis with C. rotundata and C. rotundata with T. hemprichii were studied. Belowground biomass, redox potential, bivalve abundance and bivalve size differed among communities and depths (P < 0.05). The redox potential in vegetated areas was lower than in bare sand, showing that seagrass roots trapped more organic matter than did bare sand. The lowest redox potential was in a monospecific patch of the branching root species, C. rotundata. The abundance of P. vietnamica in vegetated areas was lower than in bare sand (P < 0.05). Pillucina vietnamica was relatively large in size in the monospecific stands of C. rotundata and T. hemprichii, where relatively high root biomass and belowground biomass, respectively, were found. Our results suggest that seagrass promotes anoxic conditions belowground by trapping sediment but could obstruct the burrowing activity of lucinids, as dense populations of lucinids occurred mainly in bare sand. However, seagrass also provided shelter for lucinids, as larger bivalves were found in seagrass areas. The interactions among belowground seagrass parts, the biogeochemistry of sediments and the lucinids are highly complex and merit further study.

Information

Type
Research Article
Copyright
Copyright © Marine Biological Association of the United Kingdom 2015 
Figure 0

Fig. 1. Root biomass (open circles), rhizome biomass (filled circles) and redox potential (open rectangular) profiles with depth in various seagrass communities. The error bars are standard error (Mean ± SE, N = 3).

Figure 1

Table 1. Root, rhizome, belowground, aboveground biomass (g DW m−2), root/belowground, rhizome/root, aboveground/belowground and leaves/roots in various seagrass communities (Mean ± SE). Values with the same letter in the same row do not differ significantly.

Figure 2

Table 2. Analysis of variance for parameters in this study in each community and at each depth. Colon (:) indicates interaction. Significant differences are in bold. **indicates significance at P < 0.01, ***indicates significance at P < 0.001.

Figure 3

Fig. 2. The relationship between the Belowground Complexity Index and (A) Pillucina vietnamica abundance; (B) shell length of Pillucina vietnamica. BS, Bare sand, Ho, Halophila ovalis, Th, Thalassia hemprichii and Cr, Cymodocea rotundata. The error bars are standard error (Mean ± SE, N = 3).

Figure 4

Table 3. List of seagrass communities studied and the Belowground Complexity Index (BCI).

Figure 5

Table 4. Mean redox potential (mV), total Pillucina vietnamica abundance (ind m−2) and mean shell length of P. vietnamica (mm) in various seagrass communities. Values with the same superscript letter do not differ significantly.

Figure 6

Table 5. Linear regression analysis of root biomass, rhizome biomass and belowground biomass of each seagrass community in response to redox potential. a0 is the intercept, a1 is the slope of the equation, F is the value from F-test, P is the significance value and R2 is the coefficient of determination.

Figure 7

Fig. 3. Root biomass (open circles), rhizome biomass (filled circles) and abundance of Pillucina vietnamica (grey bar) profiles with depth in various seagrass communities. The error bars are standard error (Mean ± SE, N = 3).

Figure 8

Table 6. Significant correlations (r, partial correlation coefficients, P 0.05) between P. vietnamica abundance, size and seagrass biomass and redox potential demonstrated by multiple regression analysis. R2, coefficient of multiple determination.

Figure 9

Fig. 4. Root biomass (open circles), rhizome biomass (filled circles) and shell length of Pillucina vietnamica (grey bars) profiles with depth in various seagrass communities. The error bars are standard error (Mean ± SE, N = 3).

Figure 10

Fig. 5. Redox potentials (open rectangular) and shell length of Pillucina vietnamica (grey bars) profiles with depth in various seagrass communities. The error bars are standard error (Mean ± SE, N = 3).

Figure 11

Table 7. Grain size composition of sediment and organic matter content in monospecific patches of seagrass and bare sand. DW, dry weight. Values in the same row with the same superscript letter do not differ significantly from each other.