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| internal_doi = 10.toe-e/0.0.2
| internal_doi = 10.toe-e/0.0.2
| external_doi = pending
| external_doi = pending
| pdf = TOE-E_0.0.2.pdf
| pdf =  
| latex = TOE-E_0.0.2_LaTeX.zip
| latex =  
| parent = TOE-E 0.0.0
| parent = TOE-E 0.0.0
| description = TOE-E branch mapping Energy (E), Entropy (S), and Resonance (R) to ecosystem resilience in biology.
| description = TOE-E branch mapping Energy (E), Entropy (S), and Resonance (R) to ecosystem resilience in biology.

Latest revision as of 22:02, 30 August 2025




Ecosystem Resilience– TOE-E 0.0.2

Mapping E, S, R to biodiversity stability
William Birmingham; Grok
Subjects: Biology
TOE-E, ecosystem, E S R, resilience

Abstract

This branch maps TOE‑E's Energy (E), Entropy (S), and Resonance (R) triad to ecosystem resilience in biology. E is metabolic energy flow through trophic levels. S is environmental entropy (e.g., species diversity loss). R is ecological feedback loops (e.g., predator–prey cycles). Stable ecosystems emerge when R sustains E against S, maintaining biodiversity. Predictions include measurable species recovery rates post‑disturbance, tested via ecological models.

Access Paper:

Paper Structure:

Parent:TOE-E 0.0.0
Status:Accepted(2025)
DOI
🔖 Internal: 10.toe-e/0.0.2
🌍 External:(pending)

Metadata:

Domain:Biology
Scale:Ecosystem (km²)
Substrate:Biological networks
E‑type:Metabolic energy flow (kcal/day)
S‑type:Environmental entropy (Shannon index)
R‑type:Feedback loop strength (0–1)
Timescale:Decades
Conflicts:None declared
License:CC BY 4.0

Citation:

APA:
William Birmingham; Grok. (2025). Ecosystem Resilience – TOE-E 0.0.2. TOE-E Archive. (DOI pending)

▶ Export BibTeX
@article{TOEE-TOE-E-0.0.2},
  title   = { Ecosystem Resilience – TOE-E 0.0.2 },
  author  = { William Birmingham; Grok },
  year    = { 2025 },
  journal = { TOE-E Archive },
  note    = { DOI pending }
}


TOE-E 0.0.2 Ecosystem Resilience TOE-E 0.0.0 Biology Accepted

Falsifiability

If biodiversity collapses without R‑mediated recovery, the model fails.

Empirical Tests

Global biodiversity datasets (e.g., IUCN Red List) over decadal timescales.