Spatial structure and bathymetric patterns of penaeoid shrimps in the southwestern Gulf of Mexico

Castrejon, H.; Pérez‐Castañeda, Roberto; Defeo, Omar

doi:10.1016/j.fishres.2004.10.004

Cited by 16 publications

(14 citation statements)

References 20 publications

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“…Semivariogram parameters of the selected model for each zone were employed by the spatial estimation technique known as punctual kriging to interpolate values for points not measured and create bidimensional density maps (Castrejón et al, 2005).…”

Section: Kriging and Plot Densitymentioning

confidence: 99%

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A geostatistical approach for the stock assessment of the edible sea urchin, Paracentrotus lividus, in four coastal zones of Southern and West Sardinia (SW Italy, Mediterranean Sea)

et al. 2009

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Section: Kriging and Plot Densitymentioning

confidence: 99%

“…The observed (O) and estimated (E) densities were Table 1. plotted and fitted to a linear regression O =˛+ˇE (Castrejón et al, 2005); the significance of˛andˇwas tested (t-test) under the null hypotheses˛= 0 andˇ= 1 (P = 0.05) (Power, 1993).…”

Section: Kriging and Plot Densitymentioning

confidence: 99%

A geostatistical approach for the stock assessment of the edible sea urchin, Paracentrotus lividus, in four coastal zones of Southern and West Sardinia (SW Italy, Mediterranean Sea)

et al. 2009

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“…In recent years, the importance of spatial data for understanding the dynamics and ecology of marine resource populations has been increasing due to recognition of the risks of ignoring the spatial structure of exploited populations (Ciannelli, Fauchald, Chan, Agostini, & Dingsor, ; Pelletier & Mahevas, ; Punt, ). Specifically, there has been an increasing interest in understanding the ecological mechanisms responsible for species’ distributions (Castrejón, Pérez‐Castañeda, & Defeo, ). In this regard, geostatistics has become a powerful tool for modeling and estimation of spatial patterns (Castrejón et al., ; Rossi, Mulla, Journel, & Franz, ).…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal variation in biomass of the deep‐sea red crab Chaceon affinis in Gran Canaria Island (Canary Islands, Eastern‐Central Atlantic)

2017

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The spatial and temporal biomass distribution of Chaceon affinis and its vulnerability to fishing activity in Gran Canaria (Canary Islands) were investigated. The first goal was to assess the influence of the slope steepness and substrate on the size of crab patches, size of the crabs, and crab biomass. The second goal was to evaluate spatial and temporal variation in the biomass over a 15‐month period. The last goal was to assess the influence of fishing activity upon the reduction in the biomass over the same 15‐month period. Only two or three locations in the sampling area generated high‐biomass contour patches. When these patches were superimposed on the isobath lines, they were coincident with the main depth range described for the species in the area. The map of the biomass values clearly showed three structures with cores of the highest biomass in both muddy and rocky‐muddy areas. The biomass was higher on muddy than on rocky‐muddy bottoms. Biomass was twice as high when steepness was reduced to one third between isobaths of 500 and 900 m. The size of crab patches increases linearly with the decrease in slope steepness. The spatial structure of crabs remained fairly stable over time, showing that biomass changes with depth over time. Maps of the estimated biomass values over the 15‐month period showed the same two main patches over time with the cores of highest biomass separated by a distance of between 4.2 and 4.5 km. Although the bathymetric distribution by sexes showed temporal changes, with a displacement to deeper areas made by both sexes over the studied period, only a partial temporal segregation between males and females was observed. During the study period, crabs underwent a significant decline in biomass and this was consistent with the combined catches of both commercial and experimental fishing in the area. Due to its low mobility, C. affinis is highly vulnerable to local depletion by intensive fishing efforts.

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“…The results suggest that the structure of the surrounding landscape is particularly important when species mainly prefer one habitat type, but are also able to use different parts of the landscape (habitat compensation). Finally, Castrejón, Pérez-Castañeda, and Defeo (2005) use MPS to explain the spatial structure of shrimp populations.…”

Section: Applications Of Landscape Indicesmentioning

confidence: 99%

Landscape ecology, land-use structure, and population density: Case study of the Columbus Metropolitan Area

Guldmann

2012

Landscape and Urban Planning

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Spatial structure and bathymetric patterns of penaeoid shrimps in the southwestern Gulf of Mexico

Cited by 16 publications

References 20 publications

A geostatistical approach for the stock assessment of the edible sea urchin, Paracentrotus lividus, in four coastal zones of Southern and West Sardinia (SW Italy, Mediterranean Sea)

A geostatistical approach for the stock assessment of the edible sea urchin, Paracentrotus lividus, in four coastal zones of Southern and West Sardinia (SW Italy, Mediterranean Sea)

Spatio‐temporal variation in biomass of the deep‐sea red crab Chaceon affinis in Gran Canaria Island (Canary Islands, Eastern‐Central Atlantic)

Landscape ecology, land-use structure, and population density: Case study of the Columbus Metropolitan Area

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