Ecological rehabilitation prediction of enhanced key-food-web offshore restoration technique by wall roughening

Guan, Meng-Ling; Zheng, Ting; You, Xue-yi

doi:10.1016/j.ocecoaman.2016.04.008

Cited by 4 publications

(1 citation statement)

References 32 publications

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“…Ecosystem development is to culminate in a stable system with maximum biomass and/or information content, a state referred to as ecosystem maturity (Christensen 1995). Guan et al (2016) showed that a restoration project aimed at enhancing biological habitat and improving biotic environment using ARs (Pitcher et al 2002), hard slope roughing (Moschella et al 2005) and stock releasing (Borsje et al 2011) resulted in increased ecosystem maturity in the harbor of the Tianjin Lin Gang Economic Zone, PR China. Similarly, in Hangzhou Bay, China, Xu et al (2011) found that an artificial coastal ecosystem enhanced system maturity.…”

Section: Ar Deployment Contributed To the Maturity Of The Improved Ecosystemmentioning

confidence: 99%

Ecosystem attributes of trophic models before and after construction of artificial oyster reefs using Ecopath

Xu¹,

Qi²,

Zhang³

et al. 2019

Aquacult. Environ. Interact.

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The deployment of artificial reefs (ARs) is currently an essential component of sea ranching practices in China due to extensive financial support from the government and private organizations. Blue Ocean Ltd. created a 30.65 km 2 AR area covered by oysters in the eastern part of Laizhou Bay, Bohai Sea. It is important for the government and investors to understand and assess the current status of the AR ecosystem compared to the system status before AR deployment. We provide that assessment, including trophic interactions, energy flows, keystone species, ecosystem properties and fishing impacts, through a steady-state trophic flow model (Ecopath with Ecosim). The model estimated values of 4721.2 and 4697.276 t km −2 yr −1 for total system throughput and 534.74 and −519.9 t km −2 yr −1 for net system production before and after AR deployment, respectively. After AR deployment, sea cucumber and oyster showed the same trophic level (TL = 2.0) while veined whelk Rapana venosa had TL = 3.0. The mean TL of catches was 2.484 after AR deployment and the primary production required to support fisheries (PPR) was 1104 t km −2 . Detritus production dominated over primary production and represented 73.82% (2530.82 t km −2 ) of total primary production required. The sea cucumber showed the lowest PPR/catch value (5.6) among functional groups, indicating that fishing catch biomasses were close to primary production values. The total primary production to total respiration and total primary production to total biomass ratios showed higher system maturity after AR deployment. The trophic flow diagram showed 1 grazing and 2 detritus food chains. Pelagic and bottom fish and different benthic organisms, including large crustaceans and zoobenthos, were the dominant community before AR deployment. Zoobenthos was the key functional group, followed by large crustaceans and Gobiidae, which were the most important prey for top predators after AR deployment. We draw the following conclusions for the management of this area: (1) AR deployment contributes to the maturity of the improved ecosystem; (2) the artificial oyster system is similar to a natural reef system; (3) the enhancement and release of benthic animals in the AR area benefit the ecosystem; and (4) low TL catches do not cause the system to collapse.

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Section: Ar Deployment Contributed To the Maturity Of The Improved Ecosystemmentioning

confidence: 99%

Ecosystem attributes of trophic models before and after construction of artificial oyster reefs using Ecopath

Xu¹,

Qi²,

Zhang³

et al. 2019

Aquacult. Environ. Interact.

View full text Add to dashboard Cite

show abstract

Overview and trends of ecological and socioeconomic research on artificial reefs

Lima¹,

Zalmon²,

Love

2019

Marine Environmental Research

116

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Evaluating the performance and management of artificial reefs using artificial reef multimetric index (ARMI)

Lima¹,

Atalah

Sánchez-Jérez

et al. 2020

Ocean & Coastal Management

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Ecological rehabilitation prediction of enhanced key-food-web offshore restoration technique by wall roughening

Cited by 4 publications

References 32 publications

Ecosystem attributes of trophic models before and after construction of artificial oyster reefs using Ecopath

Ecosystem attributes of trophic models before and after construction of artificial oyster reefs using Ecopath

Overview and trends of ecological and socioeconomic research on artificial reefs

Evaluating the performance and management of artificial reefs using artificial reef multimetric index (ARMI)

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