Climate- and Land-use Change Impacts on Ecosystem Services provided by Prairie Pothole Wetlands
Bibliographic record
Abstract
Prairie pothole wetlands are a type of depressional, isolated wetland that can be found in the glaciated landscape of the mid-central United States and portions of southern Canada, also referred to as the Prairie Pothole Region (PPR). The region is consistently recognized for its historic production and support of migratory waterfowl populations among other types of mammals and invertebrates largely due to the variability in pothole wetlands water levels and vegetative structure. Isolated from other waterbodies and lacking surface water connections, the hydrology of prairie pothole wetlands is influenced by the region’s continental climate. Historically, the region receives much of water inputs from springtime snowmelt and precipitation events. However, under different emission scenarios, global climate change could increase the temperature of the region between 0.8 to 8.4 °C and lead to increased precipitation patterns. Coupled with historic and continued land-use change and wetland drainage in support of agricultural production, the hydrology of prairie potholes is likely to change. Changing hydrologic conditions are likely to have larger ramifications on ecosystem services provided by these wetlands, including the ability to buffer against flood events and the ability to maintain habitat and nursery populations, specifically for migratory waterfowl. As prairie potholes lack federal protections under the Clean Water Act, continued implementation of voluntary conservation programs is needed to conserve the remaining pothole wetlands and the services they provide. Opportunities to enhance voluntary conservation efforts should consider climate simulation models to identify high risk areas and seek to incentivize conservation in these locations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".