Mountains on Fire: Making Sense of Change in Waterton Lakes National Park
Notice bibliographique
Résumé
In 2017 the Kenow wildfire burned thirty-eight percent of Waterton Lakes National Park (WLNP) in southern Alberta at high to very high severity in mere hours. The ecological impacts of the fire will have implications for resource management, including the practice of ecological restoration, for decades to come. \n \nIn this thesis I ask two main questions. First, in what ways are people who are involved in managing WLNP’s ecosystems experiencing the effects of the Kenow wildfire, and how does their experience combined with the severity and extent of the Kenow wildfire influence park management and ecological restoration approaches in WLNP? Subsidiary to this, I ask, what is the role of history, and the role of future climate projections in managing the post-fire landscape? \n \nThis research is part of the larger Mountain Legacy Project (MLP), which is systematically repeating historic survey photographs taken in the early 1900s across Canada’s mountain landscapes. I use third-view photographs in photo-elicited semi-structured interviews with park staff to answer my first question. In my second research question I ask what broader themes and specific issues do third-view repeat mountain photographs elicit about ecological restoration and park management. As a follow up, I inquire into what ways photo-elicitation functions as an effective method in park management research? Fourteen participants were interviewed, the majority were resource conservation staff, in addition to one retired park warden, a member of the cultural resources unit, a communications staff, and a former staff member. \n \nParticipants felt wide-ranging emotions relating to the Kenow fire including grief over loss, happiness about regrowth, excitement about learning, anxiety about people’s safety, and stress over increased workloads. Park management frames vegetation regeneration after the Kenow fire as renewal, accepting that the landscape may look different than it did before the fire. Climate change is only beginning to be integrated into ecological restoration, though park management is adapting to climate change by encouraging renewal under a new climate. Historical knowledge still guides decision making in several ways. Major restoration projects including invasive species management, whitebark and limber pine restoration, and prescribed burning, were all impacted by the Kenow fire. Participants shared their thoughts on unconventional approaches such as novel ecosystems, highlighting misunderstandings and misapprehensions about the concept. Parks Canada has an opportunity to learn from Waterton Lakes’ experience to help streamline their post-emergency response in the future. \nFindings relating to my second question show these themes and issues were discussed most often by participants when looking at the third-view mountain photographs: fire behaviour, regeneration/renewal, and ecological impacts of the Kenow fire; encroachment; prescribed burning; personal narratives; ecological effects of climate change; and other snapshots. Just less than half the participants did not engage significantly with the photos, which highlights a challenge in using researcher chosen photos. However, many participants did engage and had much to say about the photos, including sharing memories and personal stories. Pre-determined interview questions were essential in unearthing the findings in this thesis, as the photos did not elicit this information alone.
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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 | 0,001 | 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».