Interactions between terrestrial ecosystem water and carbon cycles and their simulation methods:A review
Bibliographic record
Abstract
This paper reviewed the researches on the interactions between water and carbon cycles in terrestrial ecosystems,and the algorithms developed to simulate these cycles and their interactions. Future research efforts to be taken were also suggested. Carbon and water cycles are the coupled ecological processes in terrestrial ecosystems. They themselves and their interactions are affected by climate,atmospheric composition,and human activities,and impose significant feedbacks on climate system,being the research focuses in global change study. Many observational and modeling studies have been conducted to study the interactions of the two cycles at various spatial and temporal scales as well as their responses to the changes in environmental factors and land cover. Soil water markedly affects the main components of the carbon cycle (photosynthesis and respiration),but the affecting strength varies with the types of ecosystems. To accurately simulate soil water dynamics and its roles in the carbon cycle is the basis of reliable simulation of terrestrial carbon budget. Efforts should be taken to implement coupled modeling of carbon and water cycles in ecological and hydrological models. Most of current models ignore the effects of topography on the horizontal redistribution of soil water,and utilize empirical methods to simulate the effects of soil water on heterotrophic respiration,which limit the reliability of carbon budget estimation and needs to be resolved.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".