Great Barrier Reef degradation, sea surface temperatures, and atmospheric CO2 levels collectively exhibit a stochastic process with memory
نویسندگان
چکیده
Quantifying ecological memory could be done at several levels from the rate of physiological changes in an ecosystem all way down to responses genetic level. One unlocking information encoded a collective environmental is examine recorded time-series data generated by different components ecosystem. In this paper, we probe into case Great Barrier Reef (GBR) which threatened elevated sea surface temperatures (SST) and ocean acidification attributed rising atmospheric CO2 levels. Specifically, investigate interrelated dynamics between degradation GBR, SST, levels, considering three datasets: (a) mean percentage hard coral cover GBR archives Australian Institute Marine Science; (b) SST close National Oceanic Atmospheric Administration; (c) Keeling curve for measured Mauna Loa Observatory. We show that fluctuating observables these datasets have same behavior described non-Markovian stochastic process. All good match empirical analytical square deviation. An explicit form corresponding probability density function obtained obeys modified diffusion equation with time dependent coefficient. This study provides new perspective on similarities interaction GBR’s declining cover, putting systems one unified framework indexed parameter $$\mu $$ characteristic frequency $$\nu . The short-time fall superdiffusive regime, while exhibits hyperballistic fluctuation percent highest values
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ژورنال
عنوان ژورنال: Climate Dynamics
سال: 2021
ISSN: ['0930-7575', '1432-0894']
DOI: https://doi.org/10.1007/s00382-021-05831-8