Is the ecosystem approach effective in transboundary water systems: Central Asia as a case study?
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
Abstract In the context of international environmental law and International Water Law (IWL), the Ecosystem Approach (EA) has become a source of heated debate. In recent years, there has been growing recognition of the negative impacts that human activities have on freshwater ecosystems. Accordingly, the protection of such ecosystems has been identified as integral to ensuring the good governance of water resources. This article reviews key areas of research around the conceptualization and application of EA. First, we adopt a holistic approach to the concept of EA when applied to existing environmental challenges, before exploring the issues that arise when applying EA to water‐based ecosystems. Next, we assess the effectiveness of implementing EA in the management of environmental issues linked to transboundary water contexts. Our findings indicate that International Environmental Law, which applies a sector‐specific approach, poses challenges for the instrumental implementation of EA because the latter requires a holistic approach to resource management. Furthermore, in transboundary water contexts the competing needs of river‐basin countries are also identified as key factors complicating the implementation of EA. The article concludes with recommendations for policy makers and scholars. This article is categorized under: Water and Life > Conservation, Management, and Awareness Engineering Water > Planning Water Human Water (WBAA) > Water Governance
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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