Ecosystem integrity assessment of Gwangneung deciduous old-growth forest, a UNESCO biosphere reserve: A thermodynamic perspective
Bibliographic record
Abstract
The challenge of a UNESCO Biosphere Reserve (BR) is balancing the sustainable use of ecosystem services with biodiversity conservation without compromising ecosystem integrity. To assess whether this balance is achieved, a quantitative assessment of ecosystem integrity is essential. However, ambiguity in its definition and the lack of a theoretical framework are obstacles. We redefined the ecosystem integrity as “a state in which the structure, function, composition, and self-organizing capacity of an ecosystem are not significantly different from that of the reference state”. Within a thermodynamic framework, this self-organizing capacity can be expressed as the ratio of entropy exported ( J ) to entropy produced internally ( σ ), i.e., | J / σ | . This metric was applied to 15 years of data from the Gwangneung Deciduous old-growth forest in Korea (GDK), a BR. The five-years before BR designation were assumed as a reference state, against which the subsequent 10 years were compared. During the reference state, | J / σ | was 0.76 ± 0.01, showing consistent self-organization. However, in the next ten-years, J was relatively constant whereas σ increased, leading to a decline in | J / σ | . This decline may result from the response of the old-growth forest to increased incoming radiation due to decreased precipitation. Notably, the decline in self-organizing capacity coincided with reduced tree species diversity (composition), increased deadwood (structure), and a shift to a carbon source (function) – all indicating degradation of ecosystem integrity consistently. These findings suggest that this holistic metric can serve as a complementary indicator of ecosystem integrity, alongside structural, functional, and compositional metrics for more integrative evaluation. • Ecosystem integrity was assessed by both holistic and reductionist perspectives. • An old-growth forest lost its self-organizing capacity, structure, function, and composition. • The decline in its self-organizing capacity may be attributed to climate change.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".