Yuyu Wang’s research while affiliated with Beijing Forestry University and other places

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Publications (1)


The study area in the East China Sea.
The sensitivity analysis results for the 20% uncertainty of the Ecopath input parameters. TPP, total primary production; TR, total respiration; EE, ecotrophic efficiency; B, biomass; P/B, production/biomass; Q/B, consumption/biomass; DC, diet composition. The sensitivity analysis results for the 20% uncertainty of the Ecopath input parameters. TPP, total primary production; TR, total respiration; EE, ecotrophic efficiency; B, biomass; P/B, production/biomass; Q/B, consumption/biomass; DC, diet composition. (A) represents the impact of the input parameters (B, P/B, Q/B, DC) with 20% uncertainty on the EE of the phytoplankton (M1997); (B) represents the impact of the input parameters (B, P/B, Q/B, DC) with 20% uncertainty on the TPP/TR (M1997); (C) represents the impact of the input parameters (B, P/B, Q/B, DC) with 20% uncertainty on the EE of the phytoplankton (M2018); (D) represents the impact of the input parameters (B, P/B, Q/B, DC) with 20% uncertainty on the TPP/TR (M2018).
Biomass of the function groups in the East China Sea ecosystem in the M1997 (1997–2000) and M2018 (2018–2019) mass balance models and the M2018no-SFM (no seasonal fishing moratorium) and M2018SFM (with a seasonal fishing moratorium) dynamic simulations (1997–2018).
Keystoneness index and overall effects of each function group from the East China Sea ecosystem in the (A) M1997 (1997–2000) and (B) M2018 (2018–2019) mass balance models. 1, Phytoplankton; 2, Zooplankton; 3, Polychaetes; 4, Mollusks; 5, Benthic crustaceans; 6, Echinoderms; 7, Other invertebrates; 8, Crabs; 9, Shrimps; 10, Cephalopods; 11, Planktivores; 12, Benthivores; 13, Piscivores; 14, Hairtail; 15, Bombay duck; 16, Planktivores/Benthivores; 17, Planktivores/Piscivores; 18, Benthivores/Piscivores; 19, Omnivores; 20, Large yellow croakers; 21, Small yellow croakers; 22, Sharks; 23, Marine mammals; 24, Detritus.
Mixed trophic impacts of the function groups in the East China Sea ecosystem in the (A) M1997 (1997–2000) and (B) M2018 (2018–2019) mass balance models.

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Estimating the Impact of a Seasonal Fishing Moratorium on the East China Sea Ecosystem From 1997 to 2018
  • Article
  • Full-text available

June 2022

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220 Reads

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12 Citations

Lingyan Xu

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Yuyu Wang

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[...]

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Fisheries management policies (FMPs) have been implemented in coastal countries to ensure a sustainable supply of seafood and the recovery of species diversity. Because of the depletion of fishery stocks, China has introduced a series of FMPs since 1995, including a seasonal fishing moratorium (SFM), a zero-growth strategy, and a minimum mesh size for fishing nets. Here, we built two mass balance models for 1997–2000 (M1997) and 2018–2019 (M2018) using Ecopath with Ecosim 6.6 to illustrate the interannual changes over the past two decades in the East China Sea (ECS). We then simulated two dynamic scenarios from 1997 to 2018, SFM (M2018SFM) and no SFM (M2018no-SFM), to test the role of the SFM under fishing pressure in the ECS. Ecopath showed that the ECS ecosystem is becoming more mature, although it is still unstable, featuring lower total primary production/total respiration, longer cycles, faster organic material circulation speed, and a higher omnivorous degree. This suggests a slow recovery for the ECS ecosystem in the past two decades. The biomass of fish in the ECS—especially the planktivores, dominated by small-sized Benthosema pterotum—significantly increased in M2018 versus M1997, but there were fewer medium- and large-sized fish. The keystone species switched from the planktivores/piscivores dominated by Decapterus maruadsi in M1997 to planktivores in M2018. Ecosim illustrated that the SFM has positive effects on fishery resources recovery, especially for commercial fishes (i.e., large yellow croakers and hairtails), as reflected by the significantly higher predicted biomass of fish in M2018SFM compared to M2018no-SFM and M1997, although the bioaccumulation was consumed by the intense fishing pressure after the SFM. However, the M2018SFM prediction for nektons was still lower than the actual value, especially for planktivores, which display a sharp increase in biomass. This should be partly attributable to the policy of the minimum mesh size (<5 cm was banned), which benefits B. pterotum due to its 3.5 cm maximum body size. Therefore, a series of FMPs, rather than only the SFM, functioned together in the ECS ecosystem. However, the mixed trophic impact indicated a negative impact if the fisheries were further developed. Fishery management in the ECS needs to be strengthened by extending the SFM and reducing fishing pressure after the SFM.

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Citations (1)


... Partial findings from smaller-scale initiatives (Bos, 2025;Zou et al., 2024;Xing et al., 2020) suggest that, although the measure does not reduce total annual effort-on the contrary, it increases it-the quarterly relief offers a window for partial recovery of target species, something the Chinese fleet may later capitalize on. This outcome aligns with the logic of the compensation effect (Xu et al., 2022;Yu et al., 2017 ...

Reference:

Breaking the Commons: China’s Distant-Water Moratorium as a Game-Changer for High Seas Sustainability
Estimating the Impact of a Seasonal Fishing Moratorium on the East China Sea Ecosystem From 1997 to 2018