Traditional agricultural practices and their contribution to habitat quality and carbon storage in arid Northwest Mexico: a social-ecological approach in the Rio Sonora sub-watershed
Bibliographic record
Abstract
Along with environmental factors, agricultural activity is one of the main drivers of change in riparian landscapes of arid regions. Some agricultural practices are considered more sustainability-oriented than others. Despite this, their use is not widespread and their effect on the provision of ecosystem services is not clearly established. Thus, we propose an empirical framework for studying the effects of traditional agricultural practices on regulating ecosystem services in priority and spatially restricted ecosystems. Through spatial analysis and community field work, this study assesses changes in the use of two traditional agricultural practices: living fencerows and acequia irrigation systems and their effect on biodiversity and ecosystem service: habitat quality and carbon storage. Results show that the use of living fencerows promotes habitat quality and carbon storage, but their use is restricted by functional and socioeconomic factors. Acequia systems promote the provision of carbon storage but have a negative influence on habitat quality, and their use is changing mainly due to environmental and functional factors. The presence of obligate riparian vegetation in different configurations maintains the highest values for habitat quality and carbon storage, but it doesn’t provide the functional purpose of fencerows or acequias. We suggest that the expansion of voluntary and official conservation areas that promote regeneration of riparian vegetation adjacent and around agricultural areas could help mitigate floods, provide materials and suitable conditions for the maintenance of fencerows and acequias, enhance water and soil quality and many other services needed in agriculture. We consider our proposal to be useful for future assessments of ecosystem services tradeoffs and social-ecological dynamics in other understudied regions with predominantly agricultural activity.
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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".