Knowledge and perceptions of invasive plant biocontrol in Europe versus the rest of the world
Notice bibliographique
Résumé
Biological control (BC) of invasive alien plants (IAP) can be an effective environmental management approach. It has only very recently been adopted in Europe and is underutilized compared to other continents where this method has been successfully implemented for over a century. This is in sharp contrast to the BC of invertebrate pests, which has been taken up widely within Europe. It has been suggested that this is related to the risk-adverse attitude of Europeans towards weed BC. Scientific and public perception have a major influence on environmental policy actions. Public perception and knowledge regarding BC is an understudied subject despite its relevance for the application of this management alternative. We aimed to assess the knowledge and perception of BC of IAP among European professionals compared with their peers from other continents. To this end we conducted an online survey including multiple choice and open questions among over 700 people professionally engaged with managing the natural environment, of which approximately half were from Europe (EU) and the others from outside (non-EU). We assessed relationships between the geographical location of the respondents and their knowledge, and perceptions of BC of weeds versus BC of invertebrate pests. We found that respondents' location influenced both perceptions and knowledge of BC for weeds. Compared to non-EU respondents, EU professionals showed less appreciation for BC (e.g., regarding safety, sustainability, and cost-effectiveness), and perceived it as a riskier method, particularly in the case of practitioners and researchers. More profoundly insect pest BC tended to be considered less safe than weed BC for non-EU respondents. Confidence in weed BC as a method, as well as in the validity of the associated pre-release risk assessments, strongly increased with the level of expertise in weed BC. While a much higher proportion of non-EU respondents were correctly aware of the presence/absence of BC in their own countries and identified successful examples of BC accurately, both groups of respondents were similarly aware of unsuccessful BC examples, including BC agents against animals, stressing the bias of EU respondents towards examples of BC failure. The appreciation of weed BC in Europe could be elevated by a combination of increasing knowledge of the technique and pre-release risk assessment and promoting successful examples of weed BC, which may bring major benefits for the management of IAP across the region.
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 | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».