Multi-scale Forest Inventory and Modelling for Multi-purpose Management(<Special Issue>Multipurpose Forest Management)
Notice bibliographique
Résumé
Forests provide many goods and services and the demands for quality information about forests are continuing to increase. These demands include detailed information about an increasing range of forest characteristics and resources - both wood and non-wood based - on small, nominated units of land. For example, Kyoto-type carbon credit schemes operating at a high tier, and therefore in the most valuable markets, require precise and unbiased estimation of carbon pools in forests at specific sub-hectare locations. Simultaneously, landscape-level management decisions, especially those related to biodiversity, may require information about stand characteristics and their spatial distribution over thousands of ha or km^2. Historical approaches for forest inventory were often classified into strategic/national, operational/regional or tactical/local scales to support management decisions at corresponding scales. However, recent trends of increased attention to the role of even individual forests in local and global economies and environments - evidenced by international conventions and agreements like the Montreal Agreement or Kyoto Protocol, and international monitoring of specific areas of deforestation and degradation - has reduced the usefulness of the strategic/operational/tactical separation. Strategic decisions made during international policy negotiations may significantly affect tactical or on ground decisions on specific forested lands, while conversely good but independent tactical decisions may put strategic management goals at risk. Disagreement amongst inventories at the various levels (e.g. where the sum of tactical inventories does not equal the strategic inventory) increases the probability for conflict between strategic and tactical management decisions. This paper summarises the framework used in the National Carbon Accounting System (NCAS) developed by the Commonwealth Government of Australia to support policy-development especially in relation to global climate change and forests. The framework allows for the integration of information captured through long-term satellite sensing, physiological and empirical modelling, field-based measurements and regional "text" information. Although policy-development is obviously at a "strategic" level, the framework is flexible enough to also provide information at sub-hectare levels and supports seamless tactical decision-making as well. The information provided supports Commonwealth policy development and this paper demonstrates how NCAS also provides valuable information for other management purposes ranging from tactical management of fuelwood and farm timbers at the scale of individual farm forests, through to landscape-level structural diversity and biodiversity management.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».