Modeling and experimental analysis of carbon exchange from artificially flooded forest and peatland ecosystems
Bibliographic record
Abstract
Development of hydroelectricity in recent years has stirred an international debate in relation to greenhouse gas (GHG) emissions caused by flooding, which results from the creation of hydroelectric reservoirs. The debate focuses on whether hydroelectric reservoirs are negligible global GHG sources, particularly with regards to carbon dioxide (CO₂) and methane (CH₄). Most carbon (C) exchange studies applied to hydroelectric reservoirs have been based on irregular or sporadic field measurements and, therefore, hardly address the transient nature of reservoir C flux and the heterogeneity in flux that occurs across different types of ecosystems inundated with water. In this context, ecosystem modeling and laboratory experiments can improve our understanding of C exchange that takes place in flooded terrestrial ecosystems as a consequence of hydroelectric development. The aim of this research was to examine C exchange variation in boreal forest and peatland ecosystems prior to and after flooding as well as to project boreal ecosystem C exchange for the duration of the inundation period. The primary study area was the Eastmain-1 reservoir located in northern Quebec where impoundment was completed in 2006. For this research, a reservoir C model (FF-DNDC) was developed by modifying Forest-DNDC, a process-based biogeochemical model utilized for forest and wetland ecosystems. FF-DNDC was designed to replicate C processes that take place in submerged soil and the water column. It is used to simulate CO₂ flux in flooded boreal forest and peatland ecosystems. The reliability of the Forest-DNDC simulation in relation to CO₂ flux in black spruce forest and peatland ecosystems was tested before modifications to the software took place. This test showed that Forest-DNDC reasonably simulated CO₂ flux and, as a result, supported the application of the model to simulate C dynamic changes after flooding occurs. Short-term incubation experiments using boreal soil and vegetation samples revealed that flooding decreased rates of CO₂ production but increased rates of dissolved C production. The experiments quantified changes that occurred in C mineralization rates prior to and after flooding, which determined soil decomposition parameters under flooded conditions that were then applied to FF-DNDC. The Eastmain-1 reservoir flooded ecosystem simulations detected CO2 emissions from the water surface, and, hence, the direction in CO₂ flux changed (from uptake to release) in comparison to flux that occurred in natural forest and peatland ecosystems. Simulated CO₂ flux for both the flooded forest and peatland ecosystems decreased with the duration of inundation, and the forest ecosystem showed larger CO₂ flux than the peatland ecosystem in the first decade after flooding was initiated. The trend of larger flux in the forest ecosystem was reversed after the first decade. Modeling and experimental results from this study emphasize the importance of spatial and temporal variation of C exchange in newly flooded boreal landscapes.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".