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Variability of Suitable Habitat of Western Winter-Spring Cohort for Neon Flying Squid in the Northwest Pacific under Anomalous Environments.

Yu W, Chen X, Yi Q, Chen Y, Zhang Y - PLoS ONE (2015)

Bottom Line: The AMM model was found to perform better than the GMM model.The La Niña events in 1998 tended to yield warm SST and favorable range of Chl-a concentration and SSHA, resulting in high-quality habitats for O. bartramii.This study might provide some potentially valuable insights into exploring the relationship between the underlying squid habitat and the inter-annual environmental change.

View Article: PubMed Central - PubMed

Affiliation: College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Collaborative Innovation Center for Distant-water Fisheries, Shanghai, 201306, China.

ABSTRACT
We developed a habitat suitability index (HSI) model to evaluate the variability of suitable habitat for neon flying squid (Ommastrephes bartramii) under anomalous environments in the Northwest Pacific Ocean. Commercial fisheries data from the Chinese squid-jigging vessels on the traditional fishing ground bounded by 35°-45°N and 150°-175°E from July to November during 1998-2009 were used for analyses, as well as the environmental variables including sea surface temperature (SST), chlorophyll-a (Chl-a) concentration, sea surface height anomaly (SSHA) and sea surface salinity (SSS). Two empirical HSI models (arithmetic mean model, AMM; geometric mean model, GMM) were established according to the frequency distribution of fishing efforts. The AMM model was found to perform better than the GMM model. The AMM-based HSI model was further validated by the fishery and environmental data in 2010. The predicted HSI values in 1998 (high catch), 2008 (average catch) and 2009 (low catch) indicated that the squid habitat quality was strongly associated with the ENSO-induced variability in the oceanic conditions on the fishing ground. The La Niña events in 1998 tended to yield warm SST and favorable range of Chl-a concentration and SSHA, resulting in high-quality habitats for O. bartramii. While the fishing ground in the El Niño year of 2009 experienced anomalous cool waters and unfavorable range of Chl-a concentration and SSHA, leading to relatively low-quality squid habitats. Our findings suggest that the La Niña event in 1998 tended to result in more favorable habitats for O. bartramii in the Northwest Pacific with the gravity centers of fishing efforts falling within the defined suitable habitat and yielding high squid catch; whereas the El Niño event in 2009 yielded less favorable habitat areas with the fishing effort distribution mismatching the suitable habitat and a dramatic decline of the catch of O. bartramii. This study might provide some potentially valuable insights into exploring the relationship between the underlying squid habitat and the inter-annual environmental change.

No MeSH data available.


Related in: MedlinePlus

Schematic diagram to show the procedure of developing habitat suitability index (HSI) model for Ommastrephes bartramii in the Northwest Pacific.The HSI model contains four environmental variables, including sea surface temperature (SST), sea surface height anomaly (SSHA), sea surface salinity (SSS) and chlorophyll-a (Chl-a) concentration, respectively.
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pone.0122997.g002: Schematic diagram to show the procedure of developing habitat suitability index (HSI) model for Ommastrephes bartramii in the Northwest Pacific.The HSI model contains four environmental variables, including sea surface temperature (SST), sea surface height anomaly (SSHA), sea surface salinity (SSS) and chlorophyll-a (Chl-a) concentration, respectively.

Mentions: Fishery and environmental data during 1998–2009 were applied to establish the HSI model. The average CPUE and the percentage of fishing effort were evaluated in each HSI stratum (i.e. HSI = [0.0 0.2]; [0.2 0.4]; [0.4 0.6]; [0.6 0.8]; and [0.8 1.0]). In theory, most of the fishing efforts tended to be distributed in the waters with high SI values, little effort occur in the poor habitat, and the percentage of fishing effort should increase with the HSI values, but the average CPUE in each range of HSI values might fluctuate [43]. Based on this theory, we compared the performance of AMM and GMM models to choose a more suitable model to predict the HSI values for O. bartramii. Furthermore, the environmental data in 2010 were set aside as inputs in the AMM-based and GMM-based HSI models for model testing and validation. The monthly frequencies of fishing effort in 2010 were then overlaid on the predicted HSI maps to help select a better HSI model. The procedure of developing the HSI model for O. bartramii was shown in Fig 2.


Variability of Suitable Habitat of Western Winter-Spring Cohort for Neon Flying Squid in the Northwest Pacific under Anomalous Environments.

Yu W, Chen X, Yi Q, Chen Y, Zhang Y - PLoS ONE (2015)

Schematic diagram to show the procedure of developing habitat suitability index (HSI) model for Ommastrephes bartramii in the Northwest Pacific.The HSI model contains four environmental variables, including sea surface temperature (SST), sea surface height anomaly (SSHA), sea surface salinity (SSS) and chlorophyll-a (Chl-a) concentration, respectively.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4414546&req=5

pone.0122997.g002: Schematic diagram to show the procedure of developing habitat suitability index (HSI) model for Ommastrephes bartramii in the Northwest Pacific.The HSI model contains four environmental variables, including sea surface temperature (SST), sea surface height anomaly (SSHA), sea surface salinity (SSS) and chlorophyll-a (Chl-a) concentration, respectively.
Mentions: Fishery and environmental data during 1998–2009 were applied to establish the HSI model. The average CPUE and the percentage of fishing effort were evaluated in each HSI stratum (i.e. HSI = [0.0 0.2]; [0.2 0.4]; [0.4 0.6]; [0.6 0.8]; and [0.8 1.0]). In theory, most of the fishing efforts tended to be distributed in the waters with high SI values, little effort occur in the poor habitat, and the percentage of fishing effort should increase with the HSI values, but the average CPUE in each range of HSI values might fluctuate [43]. Based on this theory, we compared the performance of AMM and GMM models to choose a more suitable model to predict the HSI values for O. bartramii. Furthermore, the environmental data in 2010 were set aside as inputs in the AMM-based and GMM-based HSI models for model testing and validation. The monthly frequencies of fishing effort in 2010 were then overlaid on the predicted HSI maps to help select a better HSI model. The procedure of developing the HSI model for O. bartramii was shown in Fig 2.

Bottom Line: The AMM model was found to perform better than the GMM model.The La Niña events in 1998 tended to yield warm SST and favorable range of Chl-a concentration and SSHA, resulting in high-quality habitats for O. bartramii.This study might provide some potentially valuable insights into exploring the relationship between the underlying squid habitat and the inter-annual environmental change.

View Article: PubMed Central - PubMed

Affiliation: College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Collaborative Innovation Center for Distant-water Fisheries, Shanghai, 201306, China.

ABSTRACT
We developed a habitat suitability index (HSI) model to evaluate the variability of suitable habitat for neon flying squid (Ommastrephes bartramii) under anomalous environments in the Northwest Pacific Ocean. Commercial fisheries data from the Chinese squid-jigging vessels on the traditional fishing ground bounded by 35°-45°N and 150°-175°E from July to November during 1998-2009 were used for analyses, as well as the environmental variables including sea surface temperature (SST), chlorophyll-a (Chl-a) concentration, sea surface height anomaly (SSHA) and sea surface salinity (SSS). Two empirical HSI models (arithmetic mean model, AMM; geometric mean model, GMM) were established according to the frequency distribution of fishing efforts. The AMM model was found to perform better than the GMM model. The AMM-based HSI model was further validated by the fishery and environmental data in 2010. The predicted HSI values in 1998 (high catch), 2008 (average catch) and 2009 (low catch) indicated that the squid habitat quality was strongly associated with the ENSO-induced variability in the oceanic conditions on the fishing ground. The La Niña events in 1998 tended to yield warm SST and favorable range of Chl-a concentration and SSHA, resulting in high-quality habitats for O. bartramii. While the fishing ground in the El Niño year of 2009 experienced anomalous cool waters and unfavorable range of Chl-a concentration and SSHA, leading to relatively low-quality squid habitats. Our findings suggest that the La Niña event in 1998 tended to result in more favorable habitats for O. bartramii in the Northwest Pacific with the gravity centers of fishing efforts falling within the defined suitable habitat and yielding high squid catch; whereas the El Niño event in 2009 yielded less favorable habitat areas with the fishing effort distribution mismatching the suitable habitat and a dramatic decline of the catch of O. bartramii. This study might provide some potentially valuable insights into exploring the relationship between the underlying squid habitat and the inter-annual environmental change.

No MeSH data available.


Related in: MedlinePlus