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  "author": "Quintino, V., Freitas, R., Mamede, R., Ricardo, F., 
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  "author": "Quintino, V., Freitas, R., Mamede, R., Ricardo, F., 
            
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Rodrigues, A.M., Mota, J., Perez-Ruzafa, A. y Marcos, C.",
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      "name": "Quintino, V., Freitas, R., Mamede, R., Ricardo, F., 
            
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  "notes": "A single-beam, acoustic, ground-discrimination system (QTC 
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  "notes": "A single-beam, acoustic, ground-discrimination system (QTC 
            
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VIEW, Series V) was used to study the distribution of underwater 
95
VIEW, Series V) was used to study the distribution of underwater 
            
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macrophytes in a shallow-water coastal system, employing frequencies 
96
macrophytes in a shallow-water coastal system, employing frequencies 
            
97
of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, 
97
of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, 
            
98
where the expansion of Caulerpa prolifera has contributed to the 
98
where the expansion of Caulerpa prolifera has contributed to the 
            
99
silting up of the superficial sediments. A direct relationship was 
99
silting up of the superficial sediments. A direct relationship was 
            
100
identified between algal biomass and sediment-fines content. Acoustic 
100
identified between algal biomass and sediment-fines content. Acoustic 
            
101
information on sediment grain size and data on algal biomass were 
101
information on sediment grain size and data on algal biomass were 
            
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obtained in muddy and sandy sediments, including vegetated and 
102
obtained in muddy and sandy sediments, including vegetated and 
            
103
non-vegetated seabed. Non-vegetated muddy areas were created by diving 
103
non-vegetated seabed. Non-vegetated muddy areas were created by diving 
            
104
and handpicking the algae. The multivariate acoustic data were 
104
and handpicking the algae. The multivariate acoustic data were 
            
105
analysed under the null hypotheses that there were no acoustic 
105
analysed under the null hypotheses that there were no acoustic 
            
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differences between bare seabeds with contrasting superficial sediment 
106
differences between bare seabeds with contrasting superficial sediment 
            
107
types or among low, medium, and high algal-biomass areas, having in 
107
types or among low, medium, and high algal-biomass areas, having in 
            
108
mind that grain size can act as a confounding factor. Both null 
108
mind that grain size can act as a confounding factor. Both null 
            
109
hypotheses were rejected, and the results showed that 200 kHz was 
109
hypotheses were rejected, and the results showed that 200 kHz was 
            
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better than 50 kHz in distinguishing cover levels of algal biomass. 
110
better than 50 kHz in distinguishing cover levels of algal biomass. 
            
111
The relationship between the 200-kHz acoustic data and algal biomass 
111
The relationship between the 200-kHz acoustic data and algal biomass 
            
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suggests utility in modelling the latter using the former.",
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suggests utility in modelling the latter using the former.",
            
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    "es": "A single-beam, acoustic, ground-discrimination system (QTC 
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    "es": "A single-beam, acoustic, ground-discrimination system (QTC 
            
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VIEW, Series V) was used to study the distribution of underwater 
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VIEW, Series V) was used to study the distribution of underwater 
            
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macrophytes in a shallow-water coastal system, employing frequencies 
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macrophytes in a shallow-water coastal system, employing frequencies 
            
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of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, 
117
of 50 and 200 kHz. The study was conducted in Mar Menor, SE Spain, 
            
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where the expansion of Caulerpa prolifera has contributed to the 
118
where the expansion of Caulerpa prolifera has contributed to the 
            
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silting up of the superficial sediments. A direct relationship was 
119
silting up of the superficial sediments. A direct relationship was 
            
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identified between algal biomass and sediment-fines content. Acoustic 
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identified between algal biomass and sediment-fines content. Acoustic 
            
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information on sediment grain size and data on algal biomass were 
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information on sediment grain size and data on algal biomass were 
            
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obtained in muddy and sandy sediments, including vegetated and 
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obtained in muddy and sandy sediments, including vegetated and 
            
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non-vegetated seabed. Non-vegetated muddy areas were created by diving 
123
non-vegetated seabed. Non-vegetated muddy areas were created by diving 
            
124
and handpicking the algae. The multivariate acoustic data were 
124
and handpicking the algae. The multivariate acoustic data were 
            
125
analysed under the null hypotheses that there were no acoustic 
125
analysed under the null hypotheses that there were no acoustic 
            
126
differences between bare seabeds with contrasting superficial sediment 
126
differences between bare seabeds with contrasting superficial sediment 
            
127
types or among low, medium, and high algal-biomass areas, having in 
127
types or among low, medium, and high algal-biomass areas, having in 
            
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mind that grain size can act as a confounding factor. Both null 
128
mind that grain size can act as a confounding factor. Both null 
            
129
hypotheses were rejected, and the results showed that 200 kHz was 
129
hypotheses were rejected, and the results showed that 200 kHz was 
            
130
better than 50 kHz in distinguishing cover levels of algal biomass. 
130
better than 50 kHz in distinguishing cover levels of algal biomass. 
            
131
The relationship between the 200-kHz acoustic data and algal biomass 
131
The relationship between the 200-kHz acoustic data and algal biomass 
            
132
suggests utility in modelling the latter using the former."
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suggests utility in modelling the latter using the former."
            
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