ANALISIS BIOMASSA DAN CADANGAN KARBON PADA EKOSISTEM LAMUN DI DESA TELUK BAKAU KABUPATEN BINTAN
Bibliographic record
Abstract
Lamun merupakan tumbuhan laut yang mampu menyimpan karbon dalam bentuk biomassa yangdiserap melalui proses fotosintesis, sehingga lamun memainkan peran yang luar biasa dalam mitigasiisu perubahan iklim global. Penelitian ini dilaksanakan pada bulan April 2016. Analisis biomassadan cadangan lamun dilakukan di Laboratorium Kimia Laut, Fakultas Perikanan dan Ilmu Kelautan,Universitas Riau. Hasil penelitian menunjukkan bahwa terdapat 6 species lamun pada plot, dimanaspecies terbanyak adalah C. rotundata dan species paling sedikit jumlahnya E. acroides. Nilaibiomassa total dan cadangan karbon total lamun berturut-turut adalah 213,10 ton bk/ha dan 72,46ton C/ha. Cadangan karbon pada ekosistem lamun di lokasi penelitian ini tidak memiliki perbedaansignifikan pada jarak 0 m, 50 m dan 100 m. Tingginya potensi biomassa dan cadangan carbon padaekosistem padang lamun menggambarkan besarnya peran ekosistem ini dalam menanggulangidampak buruk dari pemanasan global dengan cara menyerap karbon dioksida dan menyimpannyadalam bentuk biomassa. Hal ini dapat dijadikan sebagai acuan dalam membuat perencanaan mitigasiisu perubahan iklim global dan kegiatan konservasi pada ekosistem ini.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".