Variation of sediment grain size parameters, fish diversity, and phytoplankton richness in relation to sand and silt fractions in estuaries

Figures & data

Table 1. Data source.

Nr	Country	Estuary/Site	Sediment	Phytoplankton	Fish Diversity
1	India	Arasalar	Ramesh G et al.(2015)	Annalakshmi G and Amsath A, (2012)	Mogalekar HS et al. (2017)
2	India	Coleroon	Anithamary I et al. (2011a)	Rajasekar KT et al.(2005)	Balakrishnan T et al(2015)
3	India	Kayamkulam	Reji S (2002)	Nandan (2008)	Remya R and Amina S (2017)
4	India	Pichavaram	Krishna M and Ramanathan AL (2008)	Rajkumar M et al.(2009)	Mogalekar HS et al. (2017)
5	India	Tirumalairajan	Venkatramanan S et al. (2010)
6	India	Uppanar	Sheeba SJ (2016)	Periyanayagi R et al. (2007)	Veerasingam S et al., (2011)
7	China	Pearl	Wang S et al.(2008)	Huang L et al.(2004)	Zhang X et al (2020)
8	South Korea	Nakdong	Yoon EC and Lee JS (2008)
9	South America	Rio de la Plata	Moreira D et al. (2016)		Jaureguizar AJ et al (2016)
10	India	West Coast of India	(2017)^(a)
11	India	Eastern Indian Ocean	Thayer PA et al.(1974)^(a)
12	India	Tropical River-Estuary	Prasad MB et al.(2020)^(a)
13	India	Bengal	Adhikari SK et al.(2018)^(a)

^(a)Used for testing formulae.

Table 2. Specification of generalized linear models terms used in the analysis of sediment texture in relation to sediment grain size.

Model	Dataset	Response Variable	Initial Full Model		Actual Full Model
			Predictors	Controls	Predictors	Controls
1	Main	Square rooted Mean Size	Cube rooted Sand %, Cube rooted Silt %, Cube rooted Clay % Locality	Seasons Methods	Cube rooted Sand %, Cube rooted Silt % Locality	Seasons
2		Logarithmic Standard Deviation
3		Cube rooted Skewness
4		Logarithmic Kurtosis
5	Sub	Mean Size	Cube rooted Sand %, Square rooted Silt %, Cube rooted Clay %, Square rooted Organic Matter % Locality		Cube rooted Sand %, Square rooted Organic Matter %
6		Logarithmic Standard Deviation
7		Cube rooted Skewness
8		Logarithmic Kurtosis

Figure 1. Variation of sediment mean size (a & b) and standard deviation (c & d) in relation to sand and silt fractions.

Figure 2. Variation of sand (a), silt (b), and clay (c) fractions across seasons.

Table 3. Variation of sediment grain size parameters across the study variables.

Variable	Group Level	Kruskal-Wallis chi-squared	Degree of Freedom	P-Value
Mz	Estuaries	227.07	8	<0.001
	Analytical Methods	206.2	6	<0.001
	Seasons	21.61	2	<0.001
	Fish diversity	126.18	2	<0.001
	Phytoplankton	126.18	2	<0.001
σI	Estuaries	120.08	8	<0.001
	Analytical Methods	117.61	6	<0.001
	Seasons	16.48	2	<0.001
	Fish diversity	31.56	2	<0.001
	Phytoplankton	31.56	2	<0.001
Ski	Estuaries	111.02	8	<0.001
	Analytical Methods	110.4	6	<0.001
	Seasons	17.65	2	<0.001
	Fish diversity	21.75	2	<0.001
	Phytoplankton	21.75	2	<0.001
KG	Estuaries	14.5	7	<0.05
	Analytical Methods	14.1	5	<0.05
	Seasons	6.41	2	<0.05
	Fish diversity	0.09	2	0.96
	Phytoplankton	0.09	2	0.96

Figure 3. Variation of sediment skewness (a & b) and kurtosis (c & d) in relation to sand and silt fractions.

Table 4. Comparison of null to full models estimating grain size parameters from texture.

Model	Type	Degree of freedom in the denominator	Residual Sum of Squares	Degree of freedom in the numerator	Sum of Squares	F -ratio	P-value
1	Null Model	489	212.834
	Full Model	484	87.515	5	165.47	338.13	<0.001
2	Null Model	489	346.03
	Full Model	484	171.48	5	174.56	98.54	<0.001
3	Null Model	323	19.869
	Full Model	328	57.599	-5	-37.73	122.67	<0.001
4	Null Model	459	110.64
	Full Model	463	123.48	-4	-12.842	13.318	<0.001
	Null Model	72	76.038
5	Full Model	71	66.061	1	9.9766	10.723	<0.01
6	Null Model	72	36.603
	Full Model	71	8.041	1	28.562	252.18	<0.001
7	Null Model	72	8.721
	Full Model	71	3.517	1	5.204	105.07	<0.001
8	Null Model	46	1.145
	Full Model	45	1.113	1	0.0326	1.317	0.257

Figure 4. Variation of sediments mean size (a), standard deviation (b), skewness (c) and kurtosis (d) in relation to locality.

Figure 5. Variation of sediments mean size (a), skewness (b), and kurtosis (c) versus silt percentage.

Figure 6. Variation of sediments mean size (a), standard deviation (b), and skewness (c) versus organic matter percentage.

Figure 7. Phytoplankton richness in relation to silt and sand fractions.

Figure 8. Phytoplankton richness in relation to linearity of silt and sand.

Figure 9. Predicted values of mean size (a), standard deviation (b), skewness (c) and kurtosis (d).

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