Abstract

AbstractThe increased availability of global scale environmental and biological data is enabling more objective, data‐driven, classifications of the oceans. However, comparisons of seasonal differences at a global scale have been limited to ocean color and derived variables. Here, we used long‐term averages of 18 ocean variables in summer and winter to classify the seasonal ocean surface waters through principle components analysis and k‐means clustering. We identified 11 distinct areas that fit the definition of “ecosystems,” which is enduring regions demarcated by environmental characteristics. Overall, the “ecosystems” retained their general distribution with latitude boundaries in each season, while there were some variations in latitude and some more complex differences. Of all the variables, temperature had the greatest importance and correlated with many other variables in both seasons. Some variables had uniquely significant effects on the classification in both seasons as well, such as calcite, land distance, depth, and surface current. Thus while the present seasonal classification is robust for available data, future analyses with variables not presently available may improve it. Nevertheless, the results indicate that species will need to either move or have adapted to live in greater ecosystem variation in mid temperature and subtropical latitudes where ecosystem boundaries move seasonally. In contrast, because conditions vary less in the tropics and polar seas, species in these latitudes may be more sensitive to climatic change.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call