A Trophic Model for Kuosheng Bay in Northern Taiwan

Lin, Hsing‐Juh; Shao, Kwang‐Tsao; Hwang, Jiang‐Shiou; Lo, Wen-Tseng; Cheng, I-Jiunn; Lee, Lih-Huwa

doi:10.51400/2709-6998.2264

Cited by 27 publications

(5 citation statements)

References 20 publications

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“…To the extent of our knowledge, the absolute (1163.88 g*m −2 ) and relative (93%) biomasses of benthos recorded in Araçá Bay are the highest biomass entered in Ecopath models found so far. Despite the role of benthos' biomass, it has been shown relatively relevant in other bay Ecopath models (Du et al, 2015;Dutta et al, 2017) sometimes resulting in high recycling (Lin et al, 2004;Byron et al, 2011;Frisk et al, 2011). The biomass unveiled in Araçá Bay produced a high Detritivore/Herbivore rate (more than 1000) and a Finn recycling index of 32%, higher than values previously registered in Ecopath models in other bay areas (see for example, Sakamoto and Shirakihara, 2017;Chen et al, 2015).…”

Section: Discussionmentioning

confidence: 81%

Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil)

Angelini

Contente

Rossi-Wongtschowski

et al. 2018

Ocean & Coastal Management

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Section: Discussionmentioning

confidence: 81%

Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil)

Angelini

Contente

Rossi-Wongtschowski

et al. 2018

Ocean & Coastal Management

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“…In herbivores, Hd equals 1, whereas it is equal to zero in carnivores and omnivores. In species for which the required data (biomass, production/biomass, or consumption/biomass ratios) are not available, the values are obtained using models developed for ecosystems in adjacent regions (Lin et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

“…are not available, the values are obtained using models developed for ecosystems in adjacent regions (Lin et al, 2004).…”

Section: Catch (T)mentioning

confidence: 99%

Trophic structure using ecological relationships between five dominant commercial fish in Kolahi to Dargahan

et al. 2023

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The purpose of this study was to determine the effects of frequent species population fluctuations and the impact of different rates of exploitation on other ecological links in the food web. The mass-balanced Ecopath model represents the trophic interactions among the 31 defined functional groups in the Kolahi to Dargahan area, with five main species, including Trichiurus lepturus, Saurida tumbil, Nemipterus japonicus, Sillago sihama, and Cynoglossus arel (from April 2018 to April 2019). To investigate the effects of fishing and environmental disturbances, the Ecopath modeling approach combines software for analyzing ecosystem trophic-level balances with population dynamic models. In the past 5 years, Hormozgan province has caught more than 45% of the benthic fish caught off the northern coasts of the Persian Gulf. From Kolahi to Dargahan, one of the most important fishing grounds in this province's southeast is located. Food web models are used to represent a marine system's current state, assess stock levels, and predict change over time. Over a year, the first five dominant fish in the study area, S. tumbil, S. sihama, C. arel, N. japonicus, and T. lepturus, were biometrically measured, and their population dynamics parameters as well as feeding ecology indices were analyzed. According to the trophic-level index results, the five most common species studied in this study belonged to the third (N. Japonicas, S. sihama, and C. arel) and fourth (T. lepturus, and S. tumbil) trophic levels. The key species with the greatest impact on other groups of studied species were identified as S. tumbil and T. lepturus, respectively. The estimated ecosystem indicators were the system operational power (75846.797), the primary production/respiration ratio (0.034), the connectance index (0.159), and the system omnivory index (0.253). A pedigree index (PI) of 0.38 was estimated for the present model. Overexploitation of T. lepturus could disrupt the aquatic food web and adversely affect the long-term sustainable use of aquatic resources, according to data. As a result, ecosystem-based fisheries management should be implemented to find a more appropriate solution to sustainable exploitation in the studied habitat, an important fishing area in the Persian Gulf's north.

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“…Resource management based on an ecosystem approach has been used in the Northeastern Atlantic [18]. However, despite the work by Lin et al [19,20] and Liu et al [21] on small-scale coral reefs or estuaries in the coastal waters of Taiwan, this approach has never been used to assess the fishery impact on a large-scale marine ecosystem in Taiwan waters. Thus, how the Taiwanese fishery affects the marine ecosystem and its structure is still unknown.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Fishing Impact on the Marine Ecosystem of Guishan Island in the Northeastern Waters of Taiwan Using Ecopath and Ecosim

Chin,

Su,

Liu

2023

JMSE

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The northeastern waters of Guishan Island constitute one of the crucial fishing grounds for coastal trawl fishery in Taiwan and have been exploited for many decades. To construct the marine ecosystem and to examine the interactions among trophic levels of fisheries resources in the waters of Guishan Island, historical catch, catch composition, biological information, fishing effort, environmental data such as sea surface temperature, salinity, and nutrients were analyzed using Ecopath with Ecosim. The results indicated that the longline and drift net fisheries have a very minor incidental catch of cetaceans, with a fishing mortality (F) of 0.01 year−1 and an exploitation rate (E) of 0.03. The F and E were 0.308 year−1 and 0.617 for small skates and rays, and were 0.261 year−1 and 0.580, respectively, for small sharks. The F and E of the dolphinfish, Coryphaena hippurus, an important pelagic species, were 0.411 year−1 and 0.245, respectively. Fisheries had negative impact on major commercial species except the dolphinfish and the oil fish, Lepidocybium spp., which benefited from the reduction of their predators or competitors. The keystone species of the Guishan Island marine ecosystem is phytoplankton, which has the lowest trophic level and great biomass, and is an important energy source of the ecosystem. The influences of zooplankton and anchovy rank as second and third, respectively, with regard to the keystone species in the ecosystem due to their great biomass. Regarding the biomass of less abundant species, carangids had the highest influence followed by hairtail due to their feeding habits. The results of simulations using Ecosim indicated that the hairtail, small sharks, skates and rays, mackerels, and marine eels will benefit if fishing efforts are reduced by 30%. On the other hand, the biomass of phytoplankton, zooplankton, demersal benthivores, and shrimps will decrease due to the increase in the biomass of their predators.

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A Trophic Model for Kuosheng Bay in Northern Taiwan

Cited by 27 publications

References 20 publications

Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil)

Ecosystem modeling as a framework to convert a multi-disciplinary research approach into a useful model for the Araçá Bay (Brazil)

Trophic structure using ecological relationships between five dominant commercial fish in Kolahi to Dargahan

Assessing the Fishing Impact on the Marine Ecosystem of Guishan Island in the Northeastern Waters of Taiwan Using Ecopath and Ecosim

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