Author
Listed:
- Liu, Xuehai
- Zhang, Xuelei
- Chen, Shang
- Pu, Xinming
- Qu, Dapeng
- Xu, Zongjun
Abstract
Large-scale, high-density mariculture has developed rapidly, and assessing its carrying capacity (CC) is important for sustainable development. Taking Sanggou Bay (China), a typical kelp-bivalve polyculture bay, as the study area, we develop an ecological model that incorporates the effects of aquaculture on hydrodynamic-biochemical processes and establish the CC model based on the food-balance relationship, so as to assess the CC of kelp and bivalve and determine reasonable culture densities. By incorporating the momentum loss caused by aquaculture, we achieve modeling hydrodynamic processes in culture waters. This shows that aquaculture alters the vertical structure of water-currents and significantly reduces the water-exchange ability (the bay’s half-exchange duration is ∼16 d with bivalve-kelp cultures and ∼7 d without aquaculture). The model reflects aquaculture’s impact on the ecosystem and reproduces ecological characteristics, including a weak phytoplankton biomass peak in February and the highest peak in September (3.7 μg/L on average). We estimate the CC in the kelp culture zone to be 3.84 ind/m2 and propose maintaining the stocking density at 4 ind/m2. We present the dynamic variations of bivalve CCs for different specifications. The CC of scallops is low in spring and summer, reaching its lowest in mid-April. The annual average CC for the mean size is 53 ind/m2 (35,333 ind/acre), and the density of 59 ind/m2 should not be exceeded. The CC of oysters is low in summer, reaching a minimum in late August. The theoretical capacity of the mean oyster is 76 ind/m2 and we propose maintaining a density of 39,333 ind/acre.
Suggested Citation
Liu, Xuehai & Zhang, Xuelei & Chen, Shang & Pu, Xinming & Qu, Dapeng & Xu, Zongjun, 2025.
"Modeling assessment of carrying capacities of kelp and bivalve polyculture bay based on ecological model,"
Ecological Modelling, Elsevier, vol. 510(C).
Handle:
RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025003291
DOI: 10.1016/j.ecolmodel.2025.111343
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025003291. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.