23rd. Annual Colloquium Sustainable Rural Systems : Smart Answers for a Smiling Future : IGU-CSRS Book of Abstracts and Programme
Notice bibliographique
Résumé
In rural-urban fringes across the Mediterranean biome there is increasing vulnerability of human settlements to dangerous bushfires.Risk from bushfires is growing as more people choose to live in these areas and therefore are becoming increasingly embedded in fire-risk zones.Through urban sprawl outer suburbs are becoming more wooded, whilst longer and more severe periods of drought are increasing the flammability of vegetation.The occurrence of more severe weather events, associated with climatic change, is resulting in higher average summer temperatures that extend fire-risk periods, often accompanied by more extremely hot wind events that can rapidly spread fires, as occurred in the 'Black Friday' fires in Victoria, Australia in 2009 (burning over 450,000 ha and killing 173 people) and in February 2015 in the Southern Algarve (killing 16 people and affecting 215,000 ha).This paper reports on the first findings of research funded by the Australian Research Council and conducted in three study areas: South Australia, California and southern France, examining key problems posed by this growing threat of bushfires.In particular, it looks at the motivations, values, beliefs and perceptions of rural-urban fringe residents faced by threat of bushfire, and especially in the context of a major environmental concern in these areas: the need for effective conservation measures to maintain important and unique biodiversity.High rates of biodiversity decline are being recorded in urban peripheries across the Mediterranean biome, so the challenge for policy-makers is to implement bushfire risk mitigation that could catalyse improvements in biodiversity management by favourably disposing residents towards land-use planning for conservation and risk management.Land managers face the problem of determining and implementing fire management appropriate for conserving biodiversity whilst also protecting life and property.Focus will be placed on analysis of 1000 household surveys conducted in two regions of South Australia: the Adelaide and Mount Lofty Ranges (AMLR), which form the eastern boundary of the state capital, Adelaide (population 1.2 million), and the southern Eyre Peninsula around the small port of Port Lincoln, where bushfires in 2005 burnt over 77,000 ha, with nine fatalities.The impacts on residents of the recent (January 2015) fire in the AMLR, which burnt 12,500 ha, destroying 27 homes but with no human fatalities, will be addressed.With such major risks to place, property and people, the management of vegetation for bushfire risk mitigation, for example through controlled burning, is highly contentious.The paper will argue that different groups of residents can be recognised on the basis of attitudes and behaviour, so that in formulating management strategies different messages may need to be delivered by planners and policy makers in order to develop desirable behaviour in the face of growing risk.There may also be a need for rethinking planning in order to restrict in-migration to those areas most at risk.The aim of the research is to provide opportunities to support policy development to promote behavioural change aligned with effective management of biodiversity.In this case 'effective' relates to appropriate
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,007 | 0,005 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,235 | 0,145 |
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 ».