Building alliances for territorial management in forest-based landscapes: the case of Caçador Model Forest in southern Brazil
Notice bibliographique
Résumé
Model Forests (MFs) are social and participatory processes aiming at the sustainable development of a territory where the forest plays an important role. Individuals and organizations share knowledge and combine expertise and resources to provide income-generating opportunities, balancing social, economic, and ecological values. The concept originated in the late 80s, in Canada, and was launched internationally in Rio-92 Conference under the name of 'Model Forests', which adopts network strategies ('International Model Forest Network - IMFN' and regional networks as the Latin America Caribbean Model Forests Network (LAC-Net)). In Brazil, the system is coordinated by the Brazilian Forest Service and to date consists of two MFs in the Southeast and one in the South. The latter is located in the region of Araucaria Forest, one of the most endangered ecosystems of the Atlantic Forest. The high degree of landscape fragmentation and a very restrictive environmental legislation regarding the use of native forest are both major drivers of a well-known polarization between ?development? and ?conservation? viewpoints. Those conflicts of interests combined with low Human Development Indices, poor income distribution and environmental liabilities observed in the municipality of CaA§ador, in Santa Catarina State, motivated the creation of a MF in the region. The process is being conducted by the Brazilian Agricultural Research Corporation (Embrapa) since 2007. During the four subsequent years, public meetings and workshops were held in order to present and discuss the Model Forest approach with the local community. In 2012, individuals, organizations and local stakeholders joined the CaA§ador Model Forest Council. At the same year, the Council submitted a formal proposal for the creation of the MF and in 2013 the Model Forest area was visited by representatives of LAC-Net and IMFN. Finally, on June 17, 2013, CaA§ador Model Forest (BMCDR) was officially approved as a member of the Network, covering the entire territory of the municipality with 98,000 hectares. BMCDR mission is to provide better quality of life and environmental conservation through participatory management of the territory, strengthening family farming and the cultural identity and promoting the improvement, conservation and use of forest and water resources. The year 2014 was devoted to the process of discussing CaA§ador Model Forest governance model approaches and constructing its strategic plan, which comprises four major issues to be addressed during the next five years: promoting the local identity; use and conservation of the Araucaria Forest; use and conservation of water and the promotion and dissemination of BMCDR resources.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».