Dataset.

Potential spatial mismatches between marine predators and their prey in the Southern Hemisphere in response to climate change [Residuals Analysis]

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
  • Bas, Maria
  • Ouled-Cheikh, Jazel
  • Fuster-Alonso, Alba
  • Julià Melis, Laura
  • March, David
  • Ramírez Benítez, Francisco
  • Cardona, Luis
  • Coll, Marta
[Description of methods used for collection/generation of data] To validate the assumption of spatial independence, we extracted the residuals from the model and plotted them in space. In an ideal scenario, the pattern of residuals should be random to consider that there is no spatial autocorrelation remaining in the model. Additionally, to assess the spatial variability within model residuals, we fitted a semivariogram (Zhang et al., 2009). A flat semivariogram (without sharp increases) of the residuals would indicate the absence of spatial autocorrelation, [Methods for processing the data] Species distribution models., Results of the residuals analyses of the species distribution models from crustaceans, small pelagic fishes, benthopelagic fishes, penguins and pinnipeds from South America region, Southern African region and Australia and New Zealand regions, Peer reviewed
 
DOI: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943

HANDLE: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
 
Ver en: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
Dataset. 2024

POTENTIAL SPATIAL MISMATCHES BETWEEN MARINE PREDATORS AND THEIR PREY IN THE SOUTHERN HEMISPHERE IN RESPONSE TO CLIMATE CHANGE [RESIDUALS ANALYSIS]

Digital.CSIC. Repositorio Institucional del CSIC
  • Bas, Maria
  • Ouled-Cheikh, Jazel
  • Fuster-Alonso, Alba
  • Julià Melis, Laura
  • March, David
  • Ramírez Benítez, Francisco
  • Cardona, Luis
  • Coll, Marta
[Description of methods used for collection/generation of data] To validate the assumption of spatial independence, we extracted the residuals from the model and plotted them in space. In an ideal scenario, the pattern of residuals should be random to consider that there is no spatial autocorrelation remaining in the model. Additionally, to assess the spatial variability within model residuals, we fitted a semivariogram (Zhang et al., 2009). A flat semivariogram (without sharp increases) of the residuals would indicate the absence of spatial autocorrelation, [Methods for processing the data] Species distribution models., Results of the residuals analyses of the species distribution models from crustaceans, small pelagic fishes, benthopelagic fishes, penguins and pinnipeds from South America region, Southern African region and Australia and New Zealand regions, Peer reviewed




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