A double-integration hypothesis to explain ocean ecosystem response to climate forcing
Author(s) -
Emanuele Di Lorenzo,
Mark D. Ohman
Publication year - 2013
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1218022110
Subject(s) - ecosystem , marine ecosystem , forcing (mathematics) , climate change , environmental science , population , zooplankton , ecology , baseline (sea) , term (time) , climatology , regime shift , oceanography , atmospheric sciences , biology , geology , physics , sociology , demography , quantum mechanics
Long-term time series of marine ecological indicators often are characterized by large-amplitude state transitions that can persist for decades. Understanding the significance of these variations depends critically on the underlying hypotheses characterizing expected natural variability. Using a linear autoregressive model in combination with long-term zooplankton observations off the California coast, we show that cumulative integrations of white-noise atmospheric forcing can generate marine population responses that are characterized by strong transitions and prolonged apparent state changes. This model provides a baseline hypothesis for explaining ecosystem variability and for interpreting the significance of abrupt responses and climate change signatures in marine ecosystems.
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