Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Zhao, Kangshun; Li, Chao; Wang, Tao; Hu, Bowen; Zhang, Min; Xu, Jun

doi:10.3390/w11061217

Cited by 3 publications

(3 citation statements)

References 41 publications

(50 reference statements)

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“…The expansion of the invasive sh species could result in reduced abundance of native sh and species diversity, and lead to the extinction of native sh species (Gaye-Siessegger et al 2022; Zhao et al 2019). This phenomenon is exempli ed by the unfortunate loss of native sh species such as Adrianichthys kruyti and Xenopoecilus poptae in Lake Poso, attributed to the introduction of Nile Tilapia (Yanuarita et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Characterizing spatial patterns among freshwater fishes and shrimps of the Poso River (Sulawesi, Indonesia) using DNA barcoding

Wibowo,

Kurniawan,

Prakoso

et al. 2024

Preprint

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Fish biodiversity assessments play a crucial role in identifying potential threats, and the overall health of aquatic ecosystems. Poso River in Sulawesi, Indonesia presents a complex scenario where changes in fish biodiversity can be influenced by habitat alteration, the introduction of non-native fish species and overfishing. In this study, we assessed fish biodiversity in Poso River to gain a better understanding of the challenges to its aquatic biodiversity. This knowledge is critical for enhancing fisheries management and conservation programs, and is essential for improving the fishway system integrated into hydropower dams. The biodiversity study utilized a comprehensive methodology that encompassed both traditional taxonomic approaches and DNA barcoding, specifically targeting the mitochondrial Cytochrome C Oxidase Subunit-1 (COI) gene for accurately identify species and validate their boundaries. It was conducted in upstream, environmental flows of hydropower dams, and downstream areas of the river. We found 27 species of fish in the Poso River, including both native and non-native species. Two endangered species were also observed. DNA barcoding was performed to examine species boundaries and identity. The fish population in the Poso River is dominated by non-native species, accounting for 85.70% of the total population. The upstream area had the highest fish abundance and diversity, while the downstream area had the lowest. There was no significant difference in species richness and diversity across different locations and seasons. The dominance of non-native species in the Poso River necessitates the improvement of existing fish passages equipped in hydropower dams through the development of selective fish passages that can block the distribution of these invasive species. This research highlights the critical issue of non-native species proliferation and its potential threat they pose to native fish populations, providing valuable insights for conservation and management efforts in Indonesia and similar ecosystems worldwide.

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Section: Discussionmentioning

confidence: 99%

Characterizing spatial patterns among freshwater fishes and shrimps of the Poso River (Sulawesi, Indonesia) using DNA barcoding

Wibowo,

Kurniawan,

Prakoso

et al. 2024

Preprint

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show abstract

“…Therefore, it is necessary to strengthen the detection of aquatic biodiversity and the investigation and research of invasive species distribution in the Liaohe River National Park. At the same time, it is also very important to carry out the investigation and management of breeding and trading conditions (Zhao et al, 2019). OTU upset of different sampling stations in Liaohe National Park.…”

Section: Fish Species Compositionmentioning

confidence: 99%

Environmental DNA metabarcoding reveals fish diversity, community assembly and one invasive species prevalence in a National Park of Liaohe in September

Xin,

Li,

Jiang

et al. 2024

Front. Mar. Sci.

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The escalating environmental changes are imposing multiple pressures on biodiversity conservation, thereby, more attention has been paid to fish diversity and community assembly patterns. Fish diversity in Liaohe River has deteriorated significantly due to overfishing, environmental pollution and other reasons, in addition, no fish survey related research has been published in Liaohe National Park in recent years. In order to study the diversity of fish species in the area and to investigate the presence of any invasive species. This study used eDNA metabarcoding to explore the distribution and diversity of fish communities in the Liaohe National Park. The study showed that a total of 54 species of fish from six orders, 14 families, and 39 genera were detected, meantime, the invasive species Lepomis cyanellus was found at two sampling sites. The α-diversity results showed that estuarine sites had the highest species diversity. The spatial structure of fish communities in the upstream and downstream reaches were similar as indicated by non-metric multidimensional scaling. In our study, the fish community is influenced by both deterministic and stochastic processes, with the stochastic processes being the main factor. The potential existence of L. cyanellus in Liaohe National Park might be resulted from aquaculture, ornamental pet trade, other economic fish farming, artificial release. The relatively low number of fish species in this study may be attributed to the limited number of sampling events and sampling sites. In addition to these factors, over exploitation of resources, water pollution, and the invasion of alien species have directly impacted the biodiversity of aquatic life. The results of this study lay a foundation for the future biodiversity investigation in National Parks of China, meantime, the use of eDNA monitoring is crucial to prevent, to control and limit the spreading of invasive species in advance.

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“…Therefore, comprehensive knowledge of the species distribution patterns of recently populated areas is of both theoretical and practical importance. However, several challenges remain due to methodological and data limitations (Alonso, 2019 ; Jarrad et al, 2015 ; Rosenberg & Anderson, 2016 ; Zhao et al, 2019 ). For example, simple visual observation may result in misidentification of distribution patterns; an agglomeration of isolated patches situated close to each other may appear to be continuous front spatial distribution, even though it is actually a patchy spatial pattern (Petrovskaya & Zhang, 2020a , 2020b ).…”

Section: Introductionmentioning

confidence: 99%

Expansion of non‐native plant Flaveria bidentis (L.) Kuntze driven by a range of factors leading to patchy distribution patterns

et al. 2022

Ecology and Evolution

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Given the growing concern over the ecological impacts of non‐native species, exploring these species' expansion edge and distribution patterns and their driving factors is important for developing suitable management measures. Flaveria bidentis (L.) Kuntze, a non‐native plant that was introduced to China in the 1990s, has spread from southern Hebei Province, where it first took root, to the surrounding regions and has become one of the most notorious invasive weeds in northern China. Based on 15 years (2006–2021) of extensive field investigations, the spatial distribution of sampling and occurrence points were mapped in the recently expanded region of F. bidentis' population. Then, nearest neighbor analysis is used to characterize the spatial pattern differences between samplings and occurrences. An exponential decay function was used to elucidate the driving factors contributing to the presence and absence of F. bidentis. Our results demonstrated an effective random sampling setup, a heterogeneous spatial distribution of F. bidentis, and a multi‐regional independent aggregation distribution pattern (p < .01). There were significant spatial correlations between the aggregation areas of plant occurrence points and the locations of roads and construction sand distribution centers. These findings suggest that human activities involving major roads and construction sand distribution centers were driving factors contributing to this long‐distance dispersal and spatially discontinuous distribution patterns. The presence of these patchy distribution patterns has important implications for ongoing efforts to manage populations of non‐native species.

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Distribution and Trophic Pattern of Non-Native Fish Species Across the Liao River Basin in China

Cited by 3 publications

References 41 publications

Characterizing spatial patterns among freshwater fishes and shrimps of the Poso River (Sulawesi, Indonesia) using DNA barcoding

Characterizing spatial patterns among freshwater fishes and shrimps of the Poso River (Sulawesi, Indonesia) using DNA barcoding

Environmental DNA metabarcoding reveals fish diversity, community assembly and one invasive species prevalence in a National Park of Liaohe in September

Expansion of non‐native plant Flaveria bidentis (L.) Kuntze driven by a range of factors leading to patchy distribution patterns

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