Climate Change, Seasonality and Visitation to Canada’s National Parks
Notice bibliographique
Résumé
For over a decade, the scientific community and park professionals have recognized that climate change will have critical implications for park conservation policy and management (International Union for Conservation of Nature, 1993; Welch, 2005). The implications of global climate change for nature-based park tourism has only recently begun to be assessed. Nature-based tourism and related outdoor recreation are strongly influenced by climate. Climate can affect the physical resources that define the foundation of many tourism and recreation activities as well as the length and quality of tourism and recreation seasons. Any changes in the length and quality of tourism and recreation operating seasons brought about by changes in the climate would have considerable implications for visitation and related aspects of park management Canada’s national parks are a major resource for nature-based tourism, with approximately 16 million person visits in 2003. Visitation to Canada’s national parks is highly seasonal and greatly affected by the country’s regional climates. This paper examined the potential impact of climate change on the annual number of visitors and the seasonal pattern of visitation in Canada’s national parks. Multivariate regression analysis using four climate variables and monthly visitation data for 1996 to 2003 was used to develop a monthly climate-visitation model for 15 highvisitation parks. Each park-specific model was then run with two climate change scenarios to assess potential changes in park visitation under a range of climatic conditions projected for the 2020s, 2050s and 2080s. Results indicate that Canada’s national parks could experience an increase in visitors under climate change due to a lengthened and improved warm-weather tourism season. In the 2020s, overall visitation levels were projected to increase 6% to 8%, with a number of parks projected to experience larger increases (+12% to 30%). The largest increases in visitation occur during the spring and fall months. Visitation was projected to increase between 9% and 29% system-wide in the 2050s and between 10% and 41% in the 2080s. Perhaps more importantly, the affects of climate change will be combined with other factors influencing park visitation in the future. When the potential affects of climate change were combined with those of demographic change (population, ageing and ethnic diversity) total person visits for the mid-2020s were projected to be at least three times greater (+20% to 23%) than that projected under climate change alone. If these findings are indicative of the impacts of climate change on future visitation, the implications for tourism and park management are substantive. Management implications of the findings include a probable need for more intensive visitor management strategies, especially in parks where visitor increases could significantly stress natural resources or lead to the escalation of conflicts among user groups. Although the primary focus of climate change adaptation within Parks Canada has thus far been the maintenance of ecological integrity, this research suggests that changes in visitor management strategies will be a required component in the development of Parks Canada’s climate change adaptation framework.
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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 | 0,001 | 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 | 0,000 |
| 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 ».