Studies of eulachon in Oregon and Washington: Designed to guide implementation of a monitoring program to track coast-wide status and trends in abundance and distribution. Project Completion Report July 2015 – June 2018.
Notice bibliographique
Résumé
In 2015, the Oregon Department of Fish and Wildlife and the Washington Department of Fish and Wildlife (WDFW) received a grant to expand on the research and monitoring of Eulachon in Washington and Oregon. We focused on the establishment of a system to track coast-wide status and trends in abundance and distribution of the ESA listed southern Eulachon distinct population segment (DPS). The primary objective was for WDFW to develop annual eulachon spawning stock biomass (SSB) estimates for the Columbia River population based on egg and larval production surveys. We developed survey protocols that estimated egg and larvae density (n/m3) at a transect comprised of six sampling stations crossing the Columbia River just upstream of the estuary. The transect was situated to capture of eggs and larvae produced from all Columbia River spawning areas (mainstem and tributaries) except for the Grays River. Separate sampling stations were located on the Grays River. We combined mean weekly egg and larvae densities with estimated river discharge (m3/s) to estimate the total number of eulachon eggs and larvae produced for specific time periods over five years of eulachon returns to the Columbia River. We converted the estimates of total egg and larvae production into SSB using estimated relative fecundity, sex ratio, and fish weight. We used bootstrapping on the Columbia River data to develop confidence limits for those estimates. Because the trend in the Columbia River SSB estimates should be interpreted relative to the rest of the Southern DPS, we also developed SSB estimates for two watersheds outside the Columbia Basin (the Naselle River and the Chehalis River). The SSB estimates for the Columbia River, Grays River, Naselle River, and Chehalis River were compared to Canadian DFO estimates for the Fraser River. The monitoring of the Chehalis River Eulachon also included the development of a relative abundance model using eDNA in conjunction with larvae density estimates, and the use of eDNA to assess upriver extent of spawning. This eDNA work in the Chehalis River complimented our temporal genetic analysis of the Columbia River run, in that both studies showed a potential for the larval outflow estimates to be biased slightly high due to Longfin Smelt larvae being present during the early part of the outmigration. Since these two species larvae share very similar morphology, the Longfin Smelt larvae are likely assumed to be Eulachon larvae by those counting larvae. In addition to the larval monitoring, we continued to collect samples of adult Eulachon to expand our knowledge about their length, weight, age, sex ratios, and fecundity (information needed to parameterize our SSB estimation model). Combining our SSB estimates with known Eulachon harvest, run estimates were developed for the Columbia River population. Those run estimates were allocated to broodyear tables based on year specific age composition and sex ratio data. We also worked on public outreach and education concerning Eulachon and their importance to the Pacific Northwest.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».