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. 2022 Sep 12;8(9):e10584.
doi: 10.1016/j.heliyon.2022.e10584. eCollection 2022 Sep.

Temporal distribution of fishery resources in Payra River: relationship with climatological changes, ecological assessment, and threat assessment

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Temporal distribution of fishery resources in Payra River: relationship with climatological changes, ecological assessment, and threat assessment

Md Asikur Rahaman Rahat et al. Heliyon. .

Abstract

The Payra river is one of the large coastal rivers in Bangladesh which supports incredible fish species and has been affected by extensive human disturbance due to huge fishing pressure. The present study provides information about the temporal diversity of finfish and shellfish concerning climatological variables and ecological pollution along with threat assessment in the Payra river, Bangladesh. During the entire study, a total of 61 species including 56 finfish and 5 shellfish species were recorded under 22 families belonging to 11 orders. The order-wise fish species availability showed that the Perciformes (29.49%) was the dominant order based on species richness. Among them, 4 endangered, 6 vulnerable, 4 near threatened, 42 least concern, and 5 data deficient species were found. During the study period, the average Shannon-Weaver diversity index value was (3.33 ± 0.12) indicating a good spread of fish population in the Payra river. Average Margalef richness index value was found (7.60 ± 0.32), Pielou's evenness index (0.48 ± 0.05), and Simpson dominance index (0.93 ± 0.02) in the Payra river. The dominance and Richness index value indicates a clear water environment with slight pollution in the Payra river. Ten different kinds of fishing gears were identified under 3 major groups including 5 nets, 3 hooks and lines, and 2 traps. Canonical correspondence analysis ordination plot showed that rainfall was the most influencing driving force among the meteorological parameters. The cluster analysis based on the Bray-Curtis similarity matrix showed that the winter season formed a separate cluster. In the recapitulation, the Payra river is a highly productive system that provides a favorable environment for a large variety of finfish and shellfish species assemblages. The findings of the conducted study are expected to be helpful for the respective researchers, policymakers, managers, and conservationists for the sustainable management of this water body and the interconnected surrounding neighboring countries.

Keywords: Biodiversity indices; Ecological pollution; Finfish; Payra river; Shellfish.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The map shows the reference to the record and geographical location of the study area in Payra river, Patuakhali. The red arrows on the map indicate the direction of water flow in the Payra river system. 1) Karkhana river (Pandab point)- Latitude (22° 29′40.31″N) and Longitude (90° 21′23.10″E); 2) Karkhana river- Latitude (22° 29′18.23″N) and Longitude (90° 22′54.39″E); 3) Khairabad river- Latitude (22° 30′34.52″N) and Longitude (90° 21′24.88″E); and 4) Bighai river- Latitude (22° 48′45.25″N) and Longitude (90° 21′14.17″E).
Figure 2
Figure 2
Data collection methods from fishermen to trace probabilistic risk factors and decision-making after validation.
Figure 3
Figure 3
Relationships between climatological parameters during the study period a) Relationship between air temperature (°C) and photoperiod (hrs./day); b) air temperature (°C) and rainfall (mm); c) air temperature (°C) and relative humidity (%); and c) photoperiod (hrs./day) and rainfall (mm). The p-value indicates significance at p < 0.05 (Two-way ANOVA).
Figure 4
Figure 4
(a) Order-based fish species available in the study area, (b) threatened fish availability according to IUCN status (Bangladesh, 2015), and (c) IUCN status (global, 2015).
Figure 5
Figure 5
Different diversity indices values were measured in the Payra river, a) Shannon-Weaver diversity index (H'); b) Margalef richness index (d); Pielou's evenness index (J′); and Simpson dominance index (c). Values differed significantly at (p < 0.05) among seasons. ‘ns’ indicates no significant difference.
Figure 6
Figure 6
Temporal cluster of fish composition based on Bray–Curtis similarity matrix.
Figure 7
Figure 7
The CCA illustrates the link between climatic variables and the dominant 10 fish species in the study area.
Figure 8
Figure 8
The current state of fish and shellfish biodiversity in the Payra River, as well as the government's ongoing threats mitigation measures.
Figure 9
Figure 9
Driving forces of finfish and shellfish temporal distribution at Payra river Bangladesh.

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