Evaluation of the Pacific oyster marine aquaculture suitability in Shandong, China based on GIS and remote sensing

被引:0
|
作者
Li, Chunlin [1 ]
Liu, Yang [1 ]
Yin, Zixu [1 ]
Si, Zhangqi [1 ]
Li, Qi [2 ]
Saitoh, Sei-Ichi [3 ]
机构
[1] Ocean Univ China, Deep Sea & Polar Fisheries Res Ctr, Qingdao, Peoples R China
[2] Ocean Univ China, Minist Educ, Key Lab Mariculture, Qingdao, Peoples R China
[3] Hokkaido Univ, Arctic Res Ctr, Sapporo, Japan
关键词
pacific oyster; marine raft aquaculture; suitability evaluation; GIS; remote sensing; ENSO; climate change; CRASSOSTREA-GIGAS; OFFSHORE WIND; CHLOROPHYLL-A; BAY; GROWTH; SEA; SURVIVAL; TEMPERATURE; PERFORMANCE; SUSPENSION;
D O I
10.3389/fmars.2024.1402528
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Pacific oyster (Crassostrea gigas) is a marine aquaculture species with rapid production growth in recent years. China accounts for nearly 90% of global production by 2021, especially in Shandong province. Evaluating suitability is crucial for ensuring the sustainable growth of Pacific oyster marine aquaculture and achieving a blue transition. This study developed a suitability evaluation model for Pacific oyster marine aquaculture using a Geographic Information System (GIS), Maximum Entropy (MaxEnt) model, remote sensing, and reanalysis data. A literature review and Analytic Hierarchy Process (AHP) were used to establish an evaluation model encompassing water quality, hydrology, climate and meteorology, and socioeconomic factors. The results showed that within a 20 km range of the Shandong coast, 49% of the area was highly suitable, 51% was moderately suitable, and the overall annual high score proportion (HSP) fluctuated around 50%, with higher suitability observed in the spring and autumn. The inner bays of the coastal areas (Laizhou, Rongcheng, Jimo) exhibited high suitability (HSP over 80%); in contrast, the offshore areas (Changdao, Rushan) farther from the coast had lower suitability and showed significant monthly variations. The result was consistent with the spatial distribution and temporal variation of Shandong's existing Pacific oyster marine aquaculture areas. The study also found that El Ni & ntilde;o significantly impacts Rongcheng, Rushan, and Jimo during summer. We predicted an overall increase of suitability in the Shandong offshore areas under future climate change scenarios, with a more significant increase of suitability in the north. El Ni & ntilde;o-Southern Oscillation (ENSO) influenced the concentration of parameters such as chlorophyll-a (Chl-a) and total suspended sediment (TSS) in the coastal waters through its impact on precipitation (Pr), resulting in suitability fluctuations.
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页数:20
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