Payments for Environmental Services: Evolution Toward Efficient and Fair Incentives for Multifunctional Landscapes
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
Payments for environmental services (PES), the non-provisioning part of ecosystem services, target alignment of microeconomic incentives for land users with meso- and macroeconomic societal costs and benefits of their choices across stakeholders and scales. They can interfere with or complement social norms and rights-based approaches at generic (land-use planning) and individual (tenure, use rights) levels; they interact with macroeconomic policies influencing the drivers to which individual agents respond. In many developing country contexts, community scale factors strongly influence land users' decisions, whereas unclear land rights complicate the use of market-based instruments. PES concepts need to adapt. Multiple paradigms have emerged within the broad PES domain. Evidence suggests that forms of “coinvestment in stewardship” (CIS) alongside rights are the preferred entry point. Commodification of environmental services (ES) and ES markets might evolve later on, but require strong government regulation to set and enforce rules of the game. We frame hypotheses for wider testing and “no-regrets” recommendations for practitioners.
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.
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) | 0.000 | 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 it