The effects of land-use change on ecosystem service value of desert oasis: a case study in Ugan-Kuqa River Delta Oasis, China
Bibliographic record
Abstract
Sawut, M., Eziz, M. and Tiyip, T. 2013. The effects of land-use change on ecosystem service value of desert oasis: a case study in Ugan-Kuqa River Delta Oasis, China. Can. J. Soil Sci. 93: 99–108. Ecosystem service valuation has been a hot topic in ecological economic research. The objective of this study was to analyze the changes in ecosystem services in response to oasis land-use change. Landsat images of September 2000 and ALOS images of September 2008 were combined with the published ecosystem service value coefficients about the world and China ecosystem to quantify land-use and ecosystem service changes. A sensitivity analysis was employed to determine the effect of manipulating these coefficients on the estimated values. The results indicate that: (1) the total value of ecosystem services in the Ugan-Kuqa River Delta Oasis increased from 8012 million Yuan in 2000 to 8323 million Yuan in 2008, mainly caused by the increasing areas of wetland and high-cover grassland. Forestland produced most of the ecosystem services value of the study area, about 22% of the total value; (2) the aggregated ecosystem service value of forestland, cropland, medium-cover grassland, wetland, and water body was about 85% of the total value, indicating that these land-use categories play important roles in ecosystem services of the area; (3) waste treatment and soil formation were the top two ecological functions with high service value, contributing about 37% of the total services value; and (4) results of sensitivity analysis showed that the total ecosystem services value estimated in this study area was relatively inelastic with respect to the value coefficients. Therefore, the estimation in this study area was robust in spite of uncertainties on the value coefficients. The study suggests that a reasonable land-use plan should be made with emphasis on protecting wetland and grassland for maintaining stability and sustainable development of oases.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".