Climate- and Land-use Change Impacts on Ecosystem Services provided by Prairie Pothole Wetlands
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 it