Notice bibliographique
Résumé
Forestry in China has changed drastically since the country was affected by devastating floods in 1998.The government has launched a series of nationwide ecological restoration programs, promulgated new forest policies and tax reforms, and heavily compensated forest owners.These policies and programs have already produced tangible benefits in improving forest cover, supporting the wood industry and supplementing rural livelihoods.Large areas are now protected from logging, huge afforestation programs are underway, and tenure reform offers hope of more efficient and effective operations that can create jobs and stimulate economic growth [1] .However, forestry has also been associated with problems, particularly in the context of climate change and the expansion of urbanization, including deforestation, desertification, pest and disease outbreaks, and decline of productivity.Despite this, these challenges also represent opportunities for China.Forest conservation programs have generated a wave of new national parks and ecotourism businesses; afforestation and reforestation programs have improved forest genetic resources and have also led to the development of carbon forestry.The natural forest protection program has encouraged the use of biomass and massive non-timber understory crop plantations.This special issue organized by the Chinese Academy of Forestry provides a good summary of the multifaceted nature of Chinese forestry today.The issue highlights ecological conservation programs in Chinese forests, from concept to practice (Shen, this issue), and the experience gained and lessons learnt from combating desertification over the last thirty years in China are of great potential benefit for the rest of world (Bao et al., this issue).The establishment of a national forest certification system, a market-based instrument for promoting sustainable forest management, has become a vitally important policy tool for China, particularly when non-timber forest products are major sources of income for local communities (Lu & Muthoo, this issue).As a crucial source of fiber, Eucalypt plantations have become the backbone of the Chinese forest industry, including seedling propagation, fertilizer production, lumber, pulp and paper, and wood-based panels, as well as bioenergy production (Xie et al., this issue).A key area of forest research has been genetic improvement and clonal selection; both have contributed to substantial improvement in forest productivity.The special issue also highlights research progress with Betula and Larix (Yang, Sun et al., this issue).Another study examines the modeling of climate change at a local operational scale in the Asia Pacific region, which has provided an opportunity for scientists, forest managers and decision makers to develop local adaptive management strategies (Wang et al, this issue).Bioenergy and biofuels, including forest residuals for wood pellets, are important energy strategies for China, and heat-and-electricity generation has been widely used in northern China.Bioenergy development in Brazil, Denmark, Sweden and the USA may provide some good lessons for China (Hu et al., this issue).The case study of regional GIS-based evaluation of the potential and supply costs of forest biomass in Sweden (Athanassiadis & Nordfjell, this issue) could provide a practical approach for China in its bioenergy decision-making.Several studies dealing with forest genomics, pest and disease control, and wood structure are also presented (Li et al., Biswas et al., Chen et al, and Li et al., this issue).All of these will help readers to gain insights into the current development of forest science and technology in China.
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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,016 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,039 | 0,013 |
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 ».