Ecological Landscape Planning and Design Strategies for Mangrove Communities (Hara Forests) in South-Pars Special Economic Energy Zone, Asalouyeh- Iran
Bibliographic record
Abstract
<p class="1Body">Along with the strategic role of Asalouyeh region as an industrial zone in recent decades, there have been some growing problems regarding the ecosystems of the region due to the heavy activities such as petrochemical, industrial, transportation and related development in the area. The major region of Mangrove communities in the Persian Gulf that contains some unique ecotones has established a dynamic sustainable ecosystem integrating the relationship between sea and plateau ecosystems. It is also considered as a rich habitat for the creatures in flood and Ebb conditions. Therefore, taking in to account the increasing process of ecological destruction in the existing specific protected regions- especially the Mangrove communities, it is essential to study the structural relationships between landscape elements and patches in order to balance the ecological, social relationships as well as the environmental remediation based on the preservation of ecological structures. This study tries to examine the ecological role of Mangrove communities and their habitat to introduce the threatening factors in the "South Pars Special Economic Energy Zone" and then it suggests some strategies for ecological planning and design for protecting Mangrove communities in the area i.e. storm water management, protection and development of degraded habitats and phytoremediation, to create a framework for eco-tourism and Sustainable Development in the region.<strong></strong></p>
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How this classification was reachedexpand
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 | 0.002 | 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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".