Bibliographic record
Abstract
Abstract Many conservation biologists and ecologists consider invasive species to be one of the greatest threats to biodiversity because their spread across biogeographical boundaries may endanger unique and localized expressions of biodiversity (whether species or communities). Consequently, they imagine a future, the ‘Homogocene’, in which a small set of species dominates ecosystems around the world, and they promote policies and practices to lessen the spread of these species. Here, we consider some thermodynamic dimensions of the efforts to maintain current biogeographical boundaries. We wish to explore an important conceptual analogy between thermodynamically‐closed systems and isolated biogeographical regions in ecology. The conceptual tools developed in the context of thermodynamic systems can be shown to have relevance in a wide variety of systems contexts. The ‘Maxwell's demon’ thought experiment suggests that entropy is best thought of as information‐relative rather than a ‘law of nature’. Adopting this Maxwellian thermodynamic approach to managing complexity can shed new light on the challenges of biodiversity management. To prevent the dispersion of invasive species, people must invest energy on a scale to counteract global trade and concomitant dispersal of species. We show that removing barriers to species interaction through globalization is akin to allowing a previously isolated thermal system to interact with its environment; in both cases, the system will tend towards mixing or ‘equilibrium’, and fighting this tendency is costly. Unless social and economic integration declines, the energetic input required to lessen the spread of invasive species will continue to grow.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".