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Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin

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A special issue of Diversity (ISSN 1424-2818).

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 5613

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Special Issue Editors

Dr. Sen Ding

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Guest Editor

Institute of Water Ecology and Environment, Chinese Research Academic of Environmental Sciences, Beijing 100012, China
Interests: taxonomy systematics of fish; biomonitoring and assessment; nature-based solution

Dr. Xin Gao

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Guest Editor

Institute of Water Ecology and Environment, Chinese Research Academic of Environmental Sciences, Beijing 100012, China
Interests: taxonomy systematics of macrobenthos; conservation biology; stream ecology; basin sustainable management

Special Issue Information

Dear Colleagues,

Aquatic biodiversity is an essential basis for the health of the river ecosystem, and provides indispensable products and services for humans. As the longest river in China, the Yangtze River is rich in living resources, and has 416 fish species and subspecies, accounting for 40% of the total freshwater fish of our country. Due to various anthropogenic disturbances, such as pollution, dam, shipping or sand mining, the aquatic biodiversity of the Yangtze River has declined in recent decades. Although the tasks of aquatic organism monitoring and protection have been deployed in the Yangtze River by the Central Government, the practical application still faces many unsolved technical challenges.

This Special Issue will provide an opportunity to highlight new research on the monitoring and sustainable management of aquatic organisms in the Yangtze River. We invite manuscripts that focus on biogeography, ecology and conservation to form a platform to further our understanding of the aquatic biodiversity in the Yangtze River.

Dr. Sen Ding
Dr. Xin Gao
Guest Editors

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Keywords

diversity and biogeographical pattern
advanced biomonitoring method
bioassessment
rare and endangered species
invasive species
conservation management

Published Papers (4 papers)

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Research

11 pages, 1905 KiB

Open AccessArticle

The Effects of Sampling-Site Intervals on Fish Species Richness in Wadeable Rivers: A Case Study from Taizi River Basin, Northeastern China

by Mingqiao Yu, Zhao Li, Qian Zhao and Sen Ding

Diversity 2024, 16(6), 330; https://doi.org/10.3390/d16060330 - 4 Jun 2024

Viewed by 459

Abstract

Fish play an important role in river ecosystems, and the conservation of their diversity is a common goal worldwide. It is still unclear how fish monitoring programs should be developed in order to rationalize the monitoring of fish diversity in rivers. To help address this issue, we conducted a comparative study of fish species richness obtained through three site-interval monitoring programs (SS1: 3 km interval scheme; SS2: 6 km interval scheme; SS3: 9 km interval scheme) in wadeable rivers in northeastern China. Here, a total of 18 fish species and 4 rare species were collected from 3 rivers. The cumulative species-richness curves showed that SS1 had the highest species richness in a single river and in the whole region, and the species richness gradually decreased with increasing site intervals. The results of the cumulative percentage of species richness indicated that SS1 and SS2 could achieve a level of 80% of potential species richness, while only SS1 could achieve a level of 90% of potential species richness in the Lanhe River (where no rare species were present). However, the results of cumulative species richness per unit of effort indicated that SS2 and SS3 had higher input-output benefits. These results suggested that rare species were more susceptible to monitoring programs and that SS2 was more advantageous in terms of obtaining species richness and cost-effectiveness. This study provides a reliable reference for river fish-monitoring program development. Full article

(This article belongs to the Special Issue Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin)

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17 pages, 3216 KiB

Open AccessArticle

Phytoplankton Community Dynamics in Ponds with Diverse Biomanipulation Approaches

by Yantao Zhang, Jie Yang, Xiaoman Lin, Biao Tian, Tanglin Zhang and Shaowen Ye

Diversity 2024, 16(2), 75; https://doi.org/10.3390/d16020075 - 25 Jan 2024

Cited by 1 | Viewed by 1568

Abstract

The rising challenge of eutrophication in aquatic systems globally necessitates an understanding of phytoplankton community dynamics under diverse biomanipulation approaches. This study, conducted from June 2022 to July 2023 in the Yuqiao Reservoir’s ponds in China, explored phytoplankton dynamics across ponds under different biomanipulation strategies. The study included a pond (BL) without fish stocking, a pond (CH) stocked with carnivorous and herbivorous fish, and another pond (CFD) incorporating a mix of carnivorous, filter-feeding, and detritus-feeding fish. Substantial seasonal variations in phytoplankton density and biomass were observed. In the BL pond, phytoplankton density ranged from 0.23 × 10⁷ to 3.21 × 10⁷ ind/L and biomass from 0.71 to 7.10 mg/L, with cyanobacteria predominantly in warmer seasons and a shift to cryptophytes and chrysophytes in winter. The CH pond exhibited a density range from 0.61 × 10⁷ to 8.04 × 10⁷ ind/L and biomass of 1.11 to 7.58 mg/L. Remarkably, the CFD pond demonstrated a significant reduction in both density (0.11 × 10⁷ to 2.36 × 10⁷ ind/L) and biomass (0.27 to 5.95 mg/L), indicating the effective implementation of its biomanipulation strategy. Key environmental factors including total nitrogen, water temperature, pH, chlorophyll-a, and total phosphorus played a significant role in shaping phytoplankton communities. The study highlights the importance of tailored biomanipulation strategies in aquatic ecosystem management, emphasizing long-term monitoring for sustainable management of eutrophication. Full article

(This article belongs to the Special Issue Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin)

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Figure 1

Figure 1
Location and configuration of the ponds within the Yuqiao Reservoir Wetland Region in Tianjin, China. The ponds, highlighted within the pre-reservoir system, are marked as BL (pond with no fish stocking, serving as a reference point), CH (pond stocked with carnivorous and herbivorous fish), and CFD (pond stocked with a suite of fish including carnivorous, filter-feeding, and detritus-feeding species). Full article ">Figure 2
Seasonal changes in phytoplankton community density and biomass in the ponds. Full article ">Figure 3
Heatmap of phytoplankton density and spatiotemporal clustering across the ponds. Full article ">Figure 4
Variation of key water quality parameters in the ponds over time, with letter annotations (a, b, c) indicating levels of statistical significance; different letters denote significant differences and identical letters indicate no significant difference. Full article ">Figure 5
(a) Redundancy Analysis (RDA) illustrating the influence of environmental factors (red lines) on phytoplankton density, and (b) Hierarchical Partitioning Analysis assessing the independent effects of these factors in the ponds. TN: total nitrogen; TP: total phosphorus; WT: water-temperature; Chl.a: chlorophyll-a; SD: transparency; Dep: water depth; DO: dissolved oxygen. “**” indicates p < 0.01; “***” indicates p < 0.001. Full article ">

14 pages, 4087 KiB

Open AccessArticle

Environmental Correlates to Genetic Diversity and Structure in Invasive Apple Snail (Pomacea canaliculata) Populations in China

by Xiongjun Liu, Yu Zhou, Shan Ouyang and Xiaoping Wu

Diversity 2023, 15(10), 1048; https://doi.org/10.3390/d15101048 - 28 Sep 2023

Cited by 1 | Viewed by 1353

Abstract

Invasive species are one of the most serious threats to biodiversity. Pomacea canaliculata is considered one of the world’s 100 worst invasive species. Major determinants of invasive species distribution are their environmental tolerances, and an understanding of correlations between local environmental variables (e.g., pH, concentration of dissolved oxygen) and genetic diversity is necessary to better prevent and manage the spread of invasive species. However, while such studies have demonstrated associations between the distribution and density of P. canaliculata and water quality correlates, the principal mechanisms relating genetic and these environmental correlates have not been fully articulated. Here, the correlation between physicochemical parameters and genetics of P. canaliculata were analyzed. The results showed that P. canaliculata among the six collection locations had robust genetic diversity, significant genetic differentiation, limited gene flow, and stable population dynamics. RDA analysis showed that genetic variation in P. canaliculata was significantly correlated with concentration of dissolved oxygen and pH. These results will provide a basis for effectively preventing and managing the spread of invasive species and identifying which habitats may be more at risk of invasion. Full article

(This article belongs to the Special Issue Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin)

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Figure 1
Collection locations of P. canaliculata. Full article ">Figure 2
Phylogenetic analysis and haplotype network of P. canaliculata based on COI (A,B), 16S (C,D), and COI+16S (E,F) datasets. Full article ">Figure 3
Mismatch distribution analysis of six P. canaliculata populations and Bayesian skyline plot reconstructing the population size history using an evolutionary rate of 2.0 × 10−8 substitutions/site/year based on COI (A,B), 16S (C,D), and COI+16S (E,F) datasets. Full article ">Figure 4
Principal coordinates analysis (PCoA) on the dissimilarity of physicochemical parameters across six P. canaliculata populations in the Poyang Lake Basin. Full article ">Figure 5
Ordination biplot of genetic and physicochemical parameters obtained by redundancy analysis (RDA) across six P. canaliculata populations. Hd: haplotype diversity; π: mean nucleotide diversity; DO: dissolved oxygen; TURB: turbidity; T: water temperature; NH4+: ammonium nitrogen; NO3−: nitrate nitrogen; TDS: total dissolved solids; Chl-a: chlorophyll-a; TP: total phosphorus; TN: total nitrogen. Full article ">

13 pages, 2198 KiB

Open AccessArticle

Length–Weight Relationships and Diversity Status of Fishes in the Midstream of the Jialing River, a Tributary of the Upper Yangtze River, China

by Qiang Qin, Jianghaoyue Xu, Fubin Zhang, Shan He, Tong Zhou, Shuyin Li and Yu Zeng

Diversity 2023, 15(4), 561; https://doi.org/10.3390/d15040561 - 16 Apr 2023

Cited by 2 | Viewed by 1495

Abstract

The study described the length–weight relationships (LWRs) and diversity status of fishes in the midstream of the Jialing River, which is the largest tributary of the upper Yangtze River, China. A total of 4592 specimens from 53 fish species belonging to three orders and eight families were collected from December 2021 to November 2022. The results showed that Culter oxycephaloides, Xenocypris davidi, Hemibarbus labeo, Hemiculter tchangi were dominant fish species in the study region. Twenty-five fish species (IRI ≥ 10) were subjected to LWR analysis, and the regression parameters a and b for fish species varied from 0.006 to 0.333 and 2.129 to 3.391. Eleven fish species were determined to have isometric growth, and 14 fish species were determined to have allometric growth. The diversity analyses suggested that the diversity status of fishes were kept relatively stable during the sampling period and that the fishes suffered moderate disturbance in the midstream of the Jialing River. The present study provided basic biology data for fish conservation and management after the fishing ban in the Jialing River. Full article

(This article belongs to the Special Issue Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin)

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Figure 1
Map of study region in the Jialing River, the shaded part represents the Jialing River basin, the dotted region is the sampling area in the midstream of the Jialing River. Full article ">Figure 2
Curves of length–weight relationships (LRWs) based on the formula: BW = aSLb for 25 fish species in the midstream of the Jialing River sampled from December 2021 to November 2022, R2 represents the coefficient of determination. Full article ">Figure 2 Cont.
Curves of length–weight relationships (LRWs) based on the formula: BW = aSLb for 25 fish species in the midstream of the Jialing River sampled from December 2021 to November 2022, R2 represents the coefficient of determination. Full article ">Figure 2 Cont.
Curves of length–weight relationships (LRWs) based on the formula: BW = aSLb for 25 fish species in the midstream of the Jialing River sampled from December 2021 to November 2022, R2 represents the coefficient of determination. Full article ">Figure 2 Cont.
Curves of length–weight relationships (LRWs) based on the formula: BW = aSLb for 25 fish species in the midstream of the Jialing River sampled from December 2021 to November 2022, R2 represents the coefficient of determination. Full article ">Figure 3
The abundance-biomass curve (ABC) of fishes in the midstream of the Jialing River sampled from December 2021 to November 2022. Full article ">

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Monitoring and Conservation of Aquatic Organism in the Yangtze River Basin

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