Assessing Granger-Causality in the Southern Humboldt Current Ecosystem Using Cross-Spectral Methods.

Entropy (Basel)

División de Investigación Pesquera, Instituto de Fomento Pesquero, Valparaíso 2361827, Chile.

Published: September 2020

AI Article Synopsis

  • The southern Humboldt Current ecosystem is crucial for understanding how various factors affect anchovy biological indicators, particularly reproductive and body condition.
  • Researchers found that not only sea surface temperature but also regional drivers like Pacific decadal oscillation anomalies play significant roles in these processes.
  • By using the frequency-domain Granger-causality method, the study aims to predict anchovy reproductive and feeding activities, which could help forecast their abundance and biological process fluctuations in this ecosystem.

Article Abstract

The southern Humboldt Current ecosystem is an important topic among researchers working on the drivers of pelagic species' biological indicators. While sea surface temperature is believed to be a major driver in anchovies' () reproductive and body condition indicators, this paper shows that regional drivers such as Pacific decadal oscillation anomalies also influence these biological processes. In addition, a warm condition could trigger increased gonad development of anchovies and synchronization of body condition dynamics with local environmental conditions stemming from sea turbulence and Ekman transport. To test the statistical significance of causality between two time series and determine the direction of causality, the frequency-domain Granger-causality method is considered. Therefore, this study provides additional predictive information, derived from past data on anchovy reproductive and feeding activities. The study could be useful for researchers working on relationships of environmental conditions and pelagic species to predict biological processes' maximum and minimum peak movements and anchovy abundance in the southern Humboldt Current ecosystem.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597151PMC
http://dx.doi.org/10.3390/e22101071DOI Listing

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