Science Response : Science review of standardized monitoring and success criteria reports
Notice bibliographique
Résumé
In 2011, Fisheries and Oceans Canada (DFO) Fish and Fish Habitat Protection Program (FFHPP) requested science advice on developing cost-effective and science-based monitoring programs as part of habitat offsetting plans, to determine the effectiveness of habitat offsetting projects. Three hierarchical levels of monitoring were briefly described (compliance, functional, and effectiveness monitoring), but for that advice process the focus was on effectiveness monitoring (DFO 2012). The science advice on effectiveness monitoring was deemed applicable to projects with offsetting measures that warrant detailed monitoring (e.g., typically projects expected to have a large impact on fish and fish habitat, or high uncertainty in outcome). A technical report (Smokorowski et al. 2015) was produced following the 2012 advice and focused on developing the design and metrics for comprehensive effectiveness monitoring. In 2018, a follow-up science advisory process was held to focus on ‘functional monitoring’, recognizing that not all projects warrant full-fledged effectiveness monitoring, but that understanding the performance of the constructed habitats requires more than determining if the proponent has complied with conditions set out in an authorization under the Fisheries Act. The resulting Science Advisory Report (DFO 2019a) provided operational guidance on functional monitoring, exploring when it might be appropriate to implement, and providing monitoring design and indicator options to move towards standardization. Since then, there has been no DFO science advisory process to recommend requirements for compliance monitoring. The type of monitoring to be implemented and resulting level of effort depends on the goals/objectives of the monitoring, the scale of the potential impact, the relative understanding of the performance of specific types of constructed habitats, and corresponding indicators or surrogate metrics chosen. While science advice exists for the selection of monitoring approaches and design, none of the products from these past Canadian Science Advisory Secretariat (CSAS) processes were prescriptive enough to provide specific guidelines (i.e., step-by-step instructions) to implement an effective, standardized monitoring program. Currently, FFHPP Ontario and Prairie Region (O&P Region) does not have standardized monitoring protocols and no standardized physical, chemical, or biotic collection techniques for both proponents and DFO to use in monitoring most habitat offsets. Recently, DFO FFHPP O&P Region contracted the development of proposed standardized monitoring approaches for several types of offsets or restorations, including lake construction, restoration/relocation/construction of watercourses to enhance or construct fish habitat (channel construction), aquatic habitat works which modify watercourses and lakes to enhance or construct fish habitat. Also included were supporting physical, chemical, and biotic collection techniques. These contracts followed-up from previous monitoring-related CSAS processes to specifically produce standardized monitoring protocols. Prior to incorporating these protocols into operational activities, DFO FFHPP had requested DFO Science review them and provide advice on the contractor-proposed, standardized monitoring programs/approaches for the aforementioned offset activities. All standardized monitoring programs/approaches are proposed for application in freshwaters, but inclusion of marine versions of similar protocols could be considered for future work. The objective of this review was to assess whether the proposed standardized monitoring approaches for lake construction, channel construction, aquatic habitat works, and supporting biota collection techniques are scientifically sound, to help FFHPP build consistency in their monitoring and data requirements for their program and proponents. More specifically, the objectives were to: 1. Assess the quality and adequacy of information presented so that it is in line with previous advice, and determine if any relevant information was missing in the approaches; 2. Determine if appropriate study design, indicators and metrics, methods, sampling intensity, and best scientific practices in monitoring were used; 3. Determine if the monitoring approaches, including study design, data collection, metrics, and data accessibility, were structured in a manner for DFO Science to conduct a meta-analysis of the results in the future so monitoring protocols can be reassessed and to evaluate the ‘success’ of constructed habitats, and; 4. If necessary, recommend additional or alternative monitoring measures and approaches. This Science Response Report results from the regional peer review of November 21-24, 2022, on the Science Review of a Standardized Monitoring and Success Criteria Report for Lake Construction; Channel Creation and Aquatic Habitat Works.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,257 | 0,631 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,003 |
| Méta-épidémiologie (sens large) | 0,003 | 0,004 |
| Bibliométrie | 0,036 | 0,026 |
| Études des sciences et des technologies | 0,003 | 0,007 |
| Communication savante | 0,011 | 0,011 |
| Science ouverte | 0,009 | 0,007 |
| Intégrité de la recherche | 0,010 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,015 | 0,009 |
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 ».