Corresponding author: Vandick S. Batista ( vandickbatista@gmail.com ) Academic editor: Susan Barbieri
© 2019 Cynthia Diniz Souza, Vandick S. Batista, Nidia Noemi Fabré.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Souza CD, Batista VS, Fabré NN (2018) What are the main local drivers determining richness and fishery yields in tropical coastal fish assemblages? Zoologia 35: 1-12. https://doi.org/10.3897/zoologia.35.e12898
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Seasonal ecological effects caused by temperature and photoperiod are typically considered minimal in the tropics. Nevertheless, annual climate cycles may still influence the distribution and abundance of tropical species. Here, we investigate whether seasonal patterns of precipitation and wind speed influence the structure of coastal fish assemblages and fishing yields in northeast Brazil. Research trips were conducted during the rainy and dry seasons using commercial boats and gear to sample the fish community. Diversity was analyzed using abundance Whittaker curves, diversity profiles and the Shannon index. Principal Component Analysis (PCA) was used to analyze associations between the abundance of species and various environmental variables related to seasonality. A total of 2,373 fish were collected, representing 73 species from 34 families – 20 of which were classified as both frequent and abundant. Species richness was greater and more equitable during the rainy season than the dry season – driven by changes in the precipitation rather than to wind speed. Species diversity profiles were slightly greater during the rainy season than the dry season, but this difference was not statistically significant. Using PCA was identified three groups of species: the first associated with wind speed, the second with precipitation, and the third with a wide range of sampling environments. This latter group was the largest and most ecologically heterogeneous. We conclude that tropical coastal fish assemblages are largely influenced by local variables, and seasonally mediated by annual changes related to precipitation intensity and wind speed, which in turn influences fishery yields.
artisanal fishing, fishes, wind, precipitation, seasonality, gillnet.
Water quality and nutrient availability in coastal waters are influenced by environmental factors such as the spatial and temporal patterns of precipitation, land drainage, and wind patterns (
In the tropics, where annual changes in temperature and photoperiod are minimal, seasonality is heavily determined by precipitation (
Even facing those large-scale patterns, local effects are detectable after higher scale effects being known and considered. In this study, the objectives were to determine how seasonal patterns of precipitation and wind influence the temporal structure of tropical fish assemblages and the yields of the coastal gillnet fishery.
Samples were collected in the central coastal zone of the state of Alagoas, north-eastern Brazil, near the main regional fisheries harbor (Fig.
The seasonal patterns are typically tropical and consist of a rainy season from March to August and a dry season from September to February (
Trips were made on crescent moon days in an 8 m wooden boat with an ice capacity of 500 kg and a one-cylinder, diesel-powered B18 engine. Six sampling trips were conducted between October 2010 to August 2011, with three occurring during the rainy season (June/July/August) and three during the dry season (October/December/February). Each trip lasted three days, totaling 30 launches of effective fishing.
Sets were established between two fishing areas with mud and gravel substrates, known locally as “Lama Grande” and “Tira da Pedra” (Fig.
A commercial gillnet 1,330 m long and 1.5 m high was used, with a mesh size of 40 mm between opposite knots and a nylon thread size of 50 mm. Gillnets were set near the surface parallel to the seabed and was fixed at both ends with anchors. The mean ± standard deviation of the duration of each set was 3.51 ± 1.01 hours.
For each launch, the set position and duration were recorded, wind direction and intensity, the type and number of each species caught and the total length (cm) of each fish caught. All fishes were physically anesthetized by hypothermia on board and killed freezing on ice.
Additional data on precipitation, wind speed and direction were obtained from INMET/SEMARH, Brazilian government. To facilitate the communication of our results to environmental managers and members of local communities, a scale of wind intensity was created based on the reports of the fishermen on board and the daily wind speed recorded by INMET/SEMARH as follows: null = 0.0 m/s; weak ≤ 3.0 m/s; strong > 3.0 m/s. Similarly, the precipitation values recorded by INMET/SEMARH were categorized as very low = 0–31 mm; low = 32–84 mm; moderate = 85–137 mm; moderate-high = 138–196 mm; high = 197–200 mm and very high ≥ 201 mm.
From these data, there was calculated: the number of species and specimens per set, the mean length per species per set, the catch per set (kg), the CPUE (catch per unit effort) with standardized effort (1,330 m gillnet * set hours), the mean wind speed in m/s (mean of 6 hours per day: 3 hours before + 2 hours during the set + 1 hour after) and the total monthly precipitation (mm). All data were compared between the dry and rainy seasons.
Samples of all species were taken to the laboratory (SISBIO 1837810) after each fishing trip and identified using a variety of keys (
Analyses of diversity were conducted using three different methods: Whittaker abundance curves (
Variables were analyzed by univariate and factorial analyses of variance (ANOVA). The frequency of wind direction during the surveys was analyzed using the chi-square test (
The classification of abundant and frequent species by season was based on numerical abundance (PN %) and the frequency of occurrence (FO %), and the classification included four categories (
Because the variables used in the exploratory analysis were all quantitative and linear, a Principal Component Analysis (PCA) was performed (
There were collected 2,373 fishes representing 73 species and 34 families (Suppl. material
The size and slope of the curves in the Whittaker abundance diagram indicated that the rainy season (Fig.
The diversity profiles indicated that diversity was marginally higher in the rainy season than in the dry season. The relevant alpha values are close to one indicating greater abundance. Diversity varied more in richness than in abundance between seasons (Fig.
Analysis of variance tables to compare seasonal effects on species number, number of fishes, CPUE and mean length for fishes caught at the coast of Alagoas.
Effect | df | SS | MS | F | p |
---|---|---|---|---|---|
Species number | |||||
Intercept | 1 | 4392.30 | 4392.30 | 276.58 | <0.01 |
Season | 1 | 208.03 | 208.03 | 13.10 | <0.01 |
Error | 28 | 444.67 | 15.88 | ||
Total | 29 | 652.70 | |||
Number of fishes | |||||
Intercept | 1 | 187704.30 | 187704.30 | 73.28 | <0.01 |
Season | 1 | 28644.30 | 28644.30 | 11.18 | <0.01 |
Error | 28 | 71716.40 | 2561.30 | ||
Total | 29 | 100360.70 | |||
CPUE (Kg)/(m*h) | |||||
Intercept | 1 | 0.00 | 0.00 | 51.53 | <0.01 |
Season | 1 | 0.00 | 0.00 | 8.02 | 0.01 |
Error | 28 | 0.00 | 0.00 | ||
Total | 29 | 0.00 | |||
Mean length (cm) | |||||
Intercept | 1 | 27394.55 | 27394.55 | 1171.77 | <0.01 |
Season | 1 | 369.39 | 369.39 | 15.80 | <0.01 |
Error | 28 | 654.60 | 23.38 | ||
Total | 29 | 1024.00 |
The univariate ANOVA showed significant differences between season in the number of species, number of fish, CPUE and mean species length (Tab.
To identify those variables responsible for these seasonal differences, the influences of precipitation and wind speed were tested using a factorial ANOVA. Neither wind speed nor the interaction between precipitation and wind speed had significant seasonal effects (Tab.
Analysis of variance tables comparing effects of rainfall and winds on species number, number of fishes, CPUE and mean length for fishes caught at the coast of Alagoas.
Effect | df | SS | MS | F | p |
---|---|---|---|---|---|
Species number | |||||
Intercept | 1 | 3280.08 | 3280.08 | 281.60 | <0.01 |
Rainfall | 5 | 331.79 | 66.36 | 5.70 | <0.01 |
Wind | 1 | 26.45 | 26.45 | 2.27 | 0.15 |
Rainfall * Wind | 5 | 84.59 | 16.92 | 1.45 | 0.25 |
Error | 18 | 209.67 | 11.65 | ||
Total | 29 | 652.70 | |||
Number of fishes | |||||
Intercept | 1 | 161309.48 | 161309.48 | 86.87 | <0.01 |
Rainfall | 5 | 41261.62 | 8252.32 | 4.44 | 0.01 |
Wind | 1 | 3445.32 | 3445.32 | 1.86 | 0.19 |
Rainfall * Wind | 5 | 17838.55 | 3567.71 | 1.92 | 0.14 |
Error | 18 | 33422.58 | 1856.81 | ||
Total | 29 | 100360.70 | |||
CPUE (kg)/(m*h) | |||||
Intercept | 1 | 0.00 | 0.00 | 38.50 | <0.01 |
Rainfall | 5 | 0.00 | 0.00 | 2.27 | 0.09 |
Wind | 1 | 0.00 | 0.00 | 0.03 | 0.87 |
Rainfall * Wind | 5 | 0.00 | 0.00 | 0.67 | 0.65 |
Error | 18 | 0.00 | 0.00 | ||
Total | 29 | 0.00 | |||
Mean length (cm) | |||||
Effect | 1 | 24276.52 | 24276.52 | 1016.97 | <0.01 |
Intercept | 5 | 522.17 | 104.43 | 4.37 | 0.01 |
Rainfall | 1 | 27.11 | 27.11 | 1.14 | 0.30 |
Wind | 5 | 144.26 | 28.85 | 1.21 | 0.34 |
Rainfall * Wind | 18 | 429.68 | 23.87 | ||
Error | 29 | 1024.00 |
The chi-square (χ2) indicated that the winds of the northeast quadrant (NE) predominated during the dry season, and the winds of the southeast quadrant (SE) predominated during the rainy season. No quadrants predominated with respect to source winds in December (i.e. during the rainy season) (Fig.
The PCA clustered species into three groups (Fig.
Similarity percentage analysis (SIMPER) tested for differences in the main species composition and abiotic variables (rainfall and wind strength) at the coast of Alagoas.
Variable | Contribution | % |
Rainfall | 34.62 | 55.67 |
Caranx crysos | 3.72 | 61.65 |
Euthynnus alletteratus | 3.43 | 67.17 |
Larimus breviceps | 3.43 | 72.68 |
Scomberomorus brasiliensis | 2.92 | 77.38 |
Conodon nobilis | 1.72 | 80.15 |
Opisthonema oglinum | 1.30 | 82.24 |
Chloroscombrus chrysurus | 1.09 | 84.00 |
Menticirrhus littoralis | 0.88 | 85.42 |
Bagre bagre | 0.82 | 86.74 |
Cathorops spixii | 0.71 | 87.88 |
Caranx hippos | 0.70 | 89.01 |
Macrodon ancylodon | 0.62 | 90.01 |
Lutjanus synagris | 0.59 | 90.96 |
Centropomus parallelus | 0.56 | 91.86 |
Cetengraulis edentulus | 0.43 | 92.56 |
Haemulopsis corvinaeformis | 0.39 | 93.18 |
Wind strength | 0.30 | 93.66 |
The results support the hypothesis that precipitation and winds are significant drivers of fish species richness and fishing yields in the coastal tropical waters. The temporal dynamics and quality of water and nutrients are ultimately affected by climate variation, especially in precipitation and wind, generating environmental conditions that can affect the structure of estuarine and marine systems (
More generally, there was found that the communities sampled with a bottom gillnet off the coast of Alagoas were characterized by relatively high species richness (n = 73), corresponding to 72 % of richness as estimated by the bootstrap method. The 16 most frequent species (Suppl. material
Mean yield was higher during the rainy season than during the dry season. This is not straightforward to interpret and the results of other seasonality studies vary widely with respect to periods of higher yield depending on the type of gear used, the amount of effort (
The pattern of wind direction affected the seasonality of assemblage structure, with a predominance of trade winds from the northeast quadrant (NE) in the dry season and a predominance of those from the southeast quadrant (SE) in the rainy season – this is typical of regional atmospheric patterns (
Our multivariate analysis separated species into three groups. All species that were both abundant and frequent in the dry season where associated with wind. An example of this group is L. breviceps, a demersal species that is one of the most abundant fish on the Brazilian coast (
Group two contained no estuarine resident species, only pelagic or reef species. Group two species are more flexible to environmental changes related to seasonality and its effects on marine dynamics (
Gillnets were chosen to collect data because they are the favored fishing method of artisanal fishers in tropical regions (
Species co-occurrence is complex and poorly understood along neotropical waters (
This study was financially supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) – process 560385/2008-0 and 482201/2010-0, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) and the Fundação de Amparo à Pesquisa do Estado de Alagoas (FAPEAL) – process 20080531775-5. We are particularly grateful to the “Jupirá” and its crew. We are also thankful for the assistance of the LAEPP team, the comments on earlier versions of this manuscript by A.R. Carvalho and C.L. Sampaio. Thanks also to R.J. Ladle for his comments and English revision.