Science response: mapping tools for fish habitat
Notice bibliographique
Résumé
On August 28, 2019, a new Fisheries Act came into force with restored protections and modernizations to help safeguard fish and fish habitat. To implement the modernized Act, the Fish and Fish Habitat Protection Program (FFHPP) has more capacity to work with communities, partners, and stakeholders in freshwater, coastal and marine environments to undertake activities that will improve outcomes for fish and fish habitat through conservation, protection, and restoration. FFHPP plans to improve how it reports to Canadians on both its own activities related to fish and fish habitat protection and the important related work of partners and stakeholders. Modern tools and approaches to track and assess the health or state of fish and fish habitat are needed to support responsive and integrated regulatory, planning, partnership and monitoring activities by FFHPP and to demonstrate improved outcomes for sustainability of fish and fish habitat. Fisheries and Oceans Canada’s (DFO) Fish and Fish Habitat Protection Program requested that Science Branch review geospatial tools to identify freshwater-related indicators and metrics (i.e., representative measures) to assess and report on the status of threats and state of fish habitat, including but not limited to those listed in the Fish and Fish Habitat Protection Policy Statement (DFO 2019) and the Interim Risk Management Guide for the Protection of Fish and Fish Habitat (DFO 2019b). The threats listed in the policy are habitat degradation, habitat modification, aquatic invasive species, pollution, and climate change. Those listed in the guide are sedimentation, deleterious substances, and change or loss of riparian zone, aquatic habitat and vegetation, fish passage, dissolved oxygen, and nutrients. The overexploitation of fish and provincially managed species, and change in food supply, noise, light, and electromagnetic field are beyond the scope of this request. Public facing geospatial tools that provided indicators of human activities and threats to fish habitat and watersheds in the Pacific Region were reviewed alongside key habitat threats of DFO-managed freshwater and anadromous species as identified by the FFHPP threats listed above and the Committee on the Status of Endangered Wildlife in Canada (COSEWIC). For example, existing tools for British Columbia and the Yukon included the Pacific Salmon Explorer, World Wildlife Fund Watershed Reports and British Columbia (BC)’s Stewardship Baseline Objectives Tool. In total, thirteen geospatial tools were assessed and compared using Pathways of Effects diagrams. Global Threats to Human Water Security and River Biodiversity and World Wildlife Fund-Canada were the highest ranking tools in terms of the number of threats they addressed that have been identified as important to fish and fish habitat by both FFHPP and COSEWIC. This Science Response results from the Science Response Process of July 27, 2022 on Geospatial Mapping Tools, Indicators, and Metrics for Fish Habitat in the Pacific Region. The assessment and advice will be used to inform FFHPP Pacific Region activities associated with the implementation of the modernized Fisheries Act, including being able to articulate how FFHPP Pacific is working to develop habitat status or health indicators. This advice will also inform planning for future reporting in part by identifying gaps and uncertainties in effectively identifying habitat status.
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 | 0,024 | 0,086 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,011 | 0,012 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,005 | 0,007 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,070 | 0,039 |
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 ».