Bibliographic record
Abstract
Summary The prospect, so alluring, of sequestering carbon (C) to mitigate CO 2 build‐up in air has prompted a flurry of soil studies, but questions still linger about whether early optimism was fully justified. My objectives are to review briefly the mechanisms of carbon accrual, consider constraints on soil C sequestration for mitigating climate, and contemplate questions for further collective conversation. Carbon in soil is ever in flux; not a stagnant reservoir, but a stream of atoms flowing through. Its instantaneous stock can be increased by adding more atoms to the stream or by slowing their rate of flow to CO 2 . The latter (decay) is influenced by intrinsic recalcitrance of the substrate, by protective interactions of carbon with the mineral matrix, and by the favourability of localized conditions for biological activity. Together, these mechanisms create a continuum of susceptibility to decay. Although many practices can abet carbon accrual, their effectiveness is constrained by the finitude of carbon gain, possible effects on other greenhouse gas emissions, susceptibility to future loss, the difficulty of measuring gains precisely, and the complexity of landscape‐scale dynamics. In the light of these problems and prospects, I propose, as a working hypothesis, that we focus less on carbon, and more on using wisely the energy it carries; in other words, maximizing carbon ‘stocks’ is less critical than maintaining ‘flows’ to sustain the manifold functions performed by ecosystems. Among its implications, this hypothesis (i) enforces an ecosystem perspective, considering all inevitable trade‐offs in the use of finite energy, (ii) emphasizes the importance of sustaining energy capture via photosynthesis, (iii) promotes a long view, evaluating carbon flows over several decades or longer and (iv) enfolds human aspirations, which ultimately shape carbon flows by demands on lands. Far from deflating the urgency of soil carbon research, this reoriented perspective may move soil carbon beyond a segregated stock to its central place as a dynamic hub in the energy cycles of our ecosystems.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".