インドネシア共和国東カリマンタン州の山火事林内の糞虫群集における荒廃林からの距離および地形の影響
Bibliographic record
Abstract
Dung beetles (Coprophagous group of Scarabaeoidea: Bolboceratidae, Hybosoridae, and parts of Scarabaeidae (Scarabaeinae and Aphodiinae) in the present study) are superior indicators of habitat quality and environmental change in tropical regions (McGeoch et al. 2002, Aguilar-Amuchastegui and Henebry 2007, Gardner et al. 2008, Nichols and Gardner 2011).These beetles also serve important ecological functions, such as promoting the rapid decomposition of dung and carcasses that affects nutrient cycling, bioturbation, plant growth enhancement, secondary seed dispersal, and maggot control (Davis 1996, Andressen 2003, Larsen et al. 2005, Slade et al. 2007, 2011, Nichols et al. 2008).Thus, a higher diversity of beetles indicates a more active, complicated forest ecosystem.Forest fire in primary forests have degraded tropical biodiversity especially for arthropods in Asia (Gibson et al. 2011).In East Kalimantan, Indonesia, a vast forest fire occurred in 1983 and 1998(Taylor et al. 1999, Yamaguchi and Tsuyuki 2001).Yamaguchi and Tsuyuki (2001) showed that the intensity of fire damage was higher on ridges than in valleys and decreased in accordance with the distance from human living areas because forests near human living AbstractTo evaluate the effects of distance from human living area and topography on dung beetle assemblages in burned natural forests, we set baited pitfall traps on 3 valleys and 3 ridges in a protected but burned forest along with the transect beginning from the border of the protected forest in East Kalimantan.Species richness and the logarithm of the number of beetles collected significantly decreased as sites approached the border.The Morisitaʼ s indices of similarity (C λ ) between each site and the control site set in the artificially devastated forest with fire outside the border significantly increased as sites approached the border.Thsese results suggest that more severe fire near human living areas degrades dung beetle diversity more significantly.All valley sites were considered as remnants of previous fires but the similarity index to the another control site set in the large unburned natural forest was apparently low at two valley sites near the border suggesting that the dung beetle diversity separated from the large unburned forest by burned ridges was severely degraded even if the forests were unburned.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".