Climate Change and Microbes: Mechanisms of Action in Terrestrial and Aquatic Biosystems

Kalbande, Sonal; Goud, Arun; Hivare, Vishal; Bhendarkar, Mukesh; Ramteke, Karankumar

doi:10.1007/978-3-031-21079-2_5

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…These rising levels observed in many global environmental systems such as sea surface temperature and anthropogenic CO 2 emissions have been disrupting the natural cycles of atmospheric events 1,2,3 . Among the most impacted natural cycles is the global carbon balance whereby observed fluctuations are indicative of changing ecosystem behavior, such as microbial regulations of greenhouses fluxes 4 , altered peatland vegetation phenology 24 , shifting of forest ecosystems from sink to source, that may result to the tipping of carbon balance 5 . Significant disruptions can lead to non-linear state shifts and the degree of recovery for these systems relies mostly on their ecological memory 6 .…”

Section: Introductionmentioning

confidence: 99%

Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

ELNAR,

Bernido

2024

Preprint

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Section: Introductionmentioning

confidence: 99%

Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

ELNAR,

Bernido

2024

Preprint

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Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

Elnar,

Bernido

2024

Sci Rep

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Modeling global net ecosystem exchange is essential to understanding and quantifying the complex interactions between the Earth’s terrestrial ecosystems and the atmosphere. Emphasizing the inter-relatedness between the global net ecosystem exchange, global sea surface temperature, and atmospheric $${\text {CO}}_{2}$$ CO 2 levels, intuitively suggests that all three systems may exhibit collective environmental memory. Motivated by this, we explicitly identified a collective memory function and showed a similar non-Markovian stochastic behavior for these systems exhibiting superdiffusive behavior in short time intervals. We obtained the values of the memory parameter, $$\mu$$ μ , and the characteristic frequencies, $$\nu$$ ν , for global net ecosystem exchange (GNEE) ($$\mu = 0.94\pm 0.03, \nu = 0.67\pm 0.08/mo.$$ μ = 0.94 ± 0.03 , ν = 0.67 ± 0.08 / m o . ), global sea surface temperature (GSST) ($$\mu = 0.68\pm 0.11, \nu = 0.30\pm 0.18/mo.$$ μ = 0.68 ± 0.11 , ν = 0.30 ± 0.18 / m o . ), and atmospheric $${\text {CO}}_{2}$$ CO 2 ($$\mu = 0.78\pm 0.08, \nu =0.66\pm 0.13/wk.$$ μ = 0.78 ± 0.08 , ν = 0.66 ± 0.13 / w k . ). The values of the memory parameter are within the range, $$0< \mu < 1$$ 0 < μ < 1 , and thus all three systems are in the superdiffusive regime. We emphasize, further, that these results were consistent with our previous analyses at the ecosystem level (i.e. Great Barrier Reef) suggesting scale invariance for these phenomena. Thus, the observed superdiffusive behavior operating at different scales suggests universality of the collective memory function for these systems.

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Climate Change and Microbes: Mechanisms of Action in Terrestrial and Aquatic Biosystems

Cited by 2 publications

References 24 publications

Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

Universality of ecological memory for local and global net ecosystem exchange, atmospheric CO2, and sea surface temperature

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