Socio-economic indicators for the assessment of sustainability in the Swedish forest sector, and linkages with the national environmental quality objectives
Notice bibliographique
Résumé
Sweden’s Environmental Quality Objectives (EQOs) have been adopted to help describe the environment the country wishes to achieve, and are a promise to future generations of clean air, a healthy living environment, and rich opportunities to enjoy nature. Here, we assessed selected socio-economic indicators adapted from the Montréal Process for the Conservation and Sustainable Management of Temperate and Boreal Forests (MP) to examine trends in the Swedish forest sector of direct relevance to the EQOs. We did this with the aim of raising awareness about important socio-economic dimensions related to the EQOs, and to explore the linkages between the EQOs and the forest bioeconomy. We focused on the forest sector because of its central importance to meeting the EQOs, and fundamental social and economic roles it plays in Swedish society. The MP was chosen as our guiding framework because it was developed to assess national-level sustainable forest conservation and management, thus, incorporating critical economic, environmental and social dimensions. We applied a mixed methods approach based on a literature review, analyses of national and multilateral databases, and consultation with experts to identify and interpret selected indicators. We identified forest sector socio-economic indicators relevant to the EQOs related to forest property and ownership, economic value and consumption of wood and wood products, employment, wood energy, access to greenery, per capita forest availability, and cultural values. Interpretation of national-level indicators estimated for the 2000-2020 period point to overall progress toward maintaining forest conservation and production areas and a sector that has added substantial economic value through the processing of wood and wood products. Forests are an importance source of renewable energy and increasingly support the location of non-wood energy sources through the placement of wind power mills across forested lands. Downward trends were observed in fewer forest owners, a shrinking workforce, and per capita forest area which might be explained by processes of bequeathing, higher industry efficiencies and continued population growth. Selected indicators related to production forests, wood energy, per capita protected forests and cultural importance suggest these can directly support relevant EQOs including living forests, limited climate impact, rich plant and animal life. Through exports and hiring foreign workers, the Swedish forest sector has kept a direct linkage with the consumption of wood products abroad and in supporting economic wellbeing in lesser-developed nations through wages from forestry and non-wood seasonal employment, respectively. There is limited current information on cultural aspects such as heritage values and reindeer herding. Available data suggest a declining trend in damages to cultural remains within forest felling areas. We recommend regular and periodic assessment of the cultural and conservation values for Swedish forests to strengthen the ability to assess social and ecological sustainability relevant to the EQOs.
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 | 0,015 | 0,018 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,027 | 0,026 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».