Elnar Allan Roy B, Bernido Christopher C
Department of Physics, University of San Carlos, Talamban, Cebu City, 6000, Philippines.
Department of Chemistry and Physics, Cebu Normal University, Cebu City, 6000, Philippines.
Sci Rep. 2024 Oct 29;14(1):25949. doi: 10.1038/s41598-024-73641-z.
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 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, , and the characteristic frequencies, , for global net ecosystem exchange (GNEE) ( ), global sea surface temperature (GSST) ( ), and atmospheric ( ). The values of the memory parameter are within the range, , 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.
对全球净生态系统交换进行建模对于理解和量化地球陆地生态系统与大气之间的复杂相互作用至关重要。强调全球净生态系统交换、全球海表面温度和大气水平之间的相互关联性,直观地表明这三个系统可能都表现出集体环境记忆。受此启发,我们明确确定了一个集体记忆函数,并表明这些在短时间间隔内表现出超扩散行为的系统具有类似的非马尔可夫随机行为。我们获得了全球净生态系统交换(GNEE)( )、全球海表面温度(GSST)( )和大气 ( )的记忆参数 的值以及特征频率 的值。记忆参数的值在 的范围内,因此这三个系统都处于超扩散状态。我们进一步强调,这些结果与我们之前在生态系统层面(即大堡礁)的分析一致,表明这些现象具有尺度不变性。因此,在不同尺度上观察到的超扩散行为表明这些系统的集体记忆函数具有普遍性。