Large carnivore reintroductions to Britain and Ireland: farmers' perspectives and management options
Notice bibliographique
Résumé
The potential reintroductions of wolves, lynx and bears to Britain and Ireland after absences of centuries, or even millennia, is one of the most controversial agri-environmental topics of the century. An application for a trial reintroduction of lynx in England was declined in 2018, with an unrelated project under discussion in Scotland. Yet with successful reintroductions of some non-carnivore species across these islands, from beavers to eagles, the idea is likely to grow in popularity and ambition. But despite the many social, economic and environmental benefits extolled by supporters of reintroductions, the costs and challenges are also significant, with many likely to be borne by livestock farmers. Few studies have considered their perspectives to date. On the other hand, there are numerous examples from around the world of large carnivore conservation successfully coexisting with a range of rural activities and stakeholders, including livestock farming. In multiple contexts, a wide variety of tools and methods are utilised to manage this coexistence with large carnivores, grouped into five main themes: deterrence, finance, force, enterprise and governance. In turn, these approaches, of which governance stands out as the most significant and important, influence and are influenced by various strategic factors. These include political, economic, social, technological, legal and environmental issues. This study explored farmers’ perspectives on the context, management and governance of coexistence between potential large carnivore reintroductions and livestock farming in Britain and Ireland through 10 interviews with agricultural and rewilding representatives. It also explored examples of coexistence from over 40 interviews in and/or visits to Switzerland, France, Belgium the Netherlands and the USA, which are presented as case studies. Finally, it developed a Reintroduction Coexistence Framework to encapsulate and visualise the varied dimensions of this topic. In summary, large carnivore reintroductions are likely to be complex, contested and costly endeavours, whether with lynx, or, to an even greater extent, with wolves and bears. The primary challenge with all three species is likely to be the management and governance of coexistence with livestock farming, particularly of sheep. The qualitative findings from this report suggest that there is a degree of consensus, among both farming and rewilding representatives alike, about the scope and scale of these challenges, with both groups citing the varied political, economic, social, legal and environmental dimensions. However, agricultural interviewees were more likely to stress the potential negative consequences of reintroductions. Case studies from Switzerland, the Netherlands, Wyoming, Montana and Colorado illustrate the complexities in relation to deterrence, finance, force, enterprise and governance options respectively. Overall, the strategic context for potential large carnivore reintroductions to Britain and Ireland is currently extremely challenging.
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 | 0,004 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,005 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 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 ».