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Enregistrement W7133026549

Global Warming and Production Constraints in the Nordic Countries : Carbon Farming as an opportunity for European Forestry

2024· dissertation· en· W7133026549 sur OpenAlexaboutno aff
Sean Edward Cappone

Notice bibliographique

RevueTrepo - Institutional Repository of Tampere University · 2024
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueForest Management and Policy
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGreenhouse gasGlobal warmingSustainabilityProduction (economics)Climate changeCarbon priceCarbon creditCarbon taxAgriculture
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Forestry has been playing an important role in Nordic economies for centuries. With the dramatic acceleration of global warming, forests have increasingly played a strategic role not only as biomass sources but also as carbon sinks. What is slowing down the scale-up of reforestation programs and the sale of carbon credits from nature-based solutions? Why are not enough financial resources dedicated to nature-based technologies? Forests are generally considered temporary capture and storage solutions, while the market is looking in the direction of long-lasting or permanent storage technologies. Fraud and double-counting have jeopardised the Voluntary Carbon Market (VCM), reducing market acceptancy for nature-based credits. When it comes to decision-making, economies are under increasing pressure, as the “polluter pays” principle can undermine an already fragile system. Production constraints and emissions reductions are the two faces, of an increasingly petty coin under inflationary stress. The EU ETS system was designed to address a problem caused by the markets, through the markets. Its efficacy is still an open question with no clear answer. Taxonomy pressures have been increasing industrial sensitivity to the sustainability discussion, driving trends towards energy efficiency and emission reductions. In the last decades, in Europe, important GHG emission decrements have been successfully achieved, especially in the leading economies. Still, global emissions, in absolute terms, keep growing year after year. In 2023 we long-breached the tragic limit of 1.5°C. Oceans registered the highest average temperature on record while biodiversity keeps shrinking across the majority of the ecosystems. At the end of 2024, politics still fail, on a global scale, to address consistently the emergency. The COP29 ended up as an oil lobby gathering rather than a climate and biodiversity table. At the New Your Climate Week, the discussion was still stuck on the technicalities, instead of designing action plans. All this while greenwashing is widespread and hard to tackle. Insurance costs are spiking due to climate change and the decades-old financial forecasts are turning out to be too optimistic to hedge consistently properties, facilities and the food production sector. With the right technological and political tools, Afforestation, Reforestation and Proforestation may play a key role in supporting the global green transition by providing us with precious time. Forests are a powerful, scalable and financially sustainable alternative to expensive and slow-to-implement technology-based solutions. Biodiversity restoration through ARR solutions would help address the Kunming-Montreal agreement objectives. Innovative financial solutions joining strengths with sustainable forestry management can be crucial to the successful development of the Carbon Reduction and Carbon Farming framework from the EU. In this paper, we will present how project development protocols, if resilient and redundant enough, can play a crucial role in permanent carbon sequestration, ecosystem services restoration and independence from faulty legacy Validation and Verification Bodies. The proposed protocol provides solid guidelines for Project Developers while creating the grounds for financially sustainable long-term carbon pools. Innovative Forest Management practices will guarantee the local communities a stable regular source of high-quality biomass while generating an income from carbon sequestration and storage in permanent forests. Integration of modern validation and verification technologies and techniques, such as aerial and satellite LiDAR and thermal imagery, have increased in accessibility. This will have them playing a critical role in restoring credibility. Transparency, Traceability and Transmissibility of the information.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,222
Score d'incertitude au seuil0,634

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,013
Tête enseignante GPT0,240
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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