The current state and future prospects of whale-watching management, with special emphasis on whale-watching in British Columbia, Canada
Notice bibliographique
Résumé
Commercial whale-watching has become an important aspect of global marine tourism. Rapid expansion during the 1990s has created a yearly US$1 billion industry, in which approximately 10 million people go whale-watching in nearly 90 countries. While the economic importance of whale-watching is well documented, there remain questions regarding ecological impacts on cetacean populations and the veracity of assumed educational benefits. These two problems call into question the label of ecotourism that is currently applied to whale-watching. Due to the knowledge gap regarding the ecological impact of whale-watching, science-based management of the activity is difficult. In some areas, whale-watching has become a vital aspect of the economy before managers have been able to participate in its development. In other areas, management has remained at arm's length, letting the industry grow without their participation. The objective of this dissertation is to critically review the current state of whale-watching management and its link to maintenance of sustainable cetacean populations. Research is mainly focussed on whale-watching in British Columbia, Canada. This dissertation is composed of three separate studies that examine different aspects of whale-watching management: 1) an analysis of global whale-watching protocols and a comparison of cetacean-human versus terrestrial wildlife-human interaction research, 2) a case study of the historical development, current state and future possibilities of whale-watching management in B.C., where the activity has occurred since the early 1980s, and 3) a human dimensions case study of whale-watchers in B.C. to assess the utility of social science research for whale-watching management. In the first study, whale-watching practices for 87 countries were examined. Sixty-one percent of countries where whale-watching exists do not, or appear to not, possess established whale-watching rules. The presence and developmental extent of whale-watching protocols is related to the number of whale-watchers, rate of increase during the 1990s, and the number of years whale-watching has existed, in a given area. The nature of existing whale-watching protocols is extremely variable. Minimum approach guidelines, the most common type of practice, show little relationship to size of the whale-watching industry, the general type of cetacean watched (large whales or dolphins), or the predominant activity of focal cetaceans (breeding, migration, feeding). The first study also compared cetacean-human and terrestrial wildlife-human research papers (n=47 for each). The cetacean-human interaction research was more narrowly focussed, made 20% more speculations, was dependant on overt behaviours observable from the surface, discussed limitations in only 7% of the studies, and did not make use of comparison to terrestrial research. Terrestrial wildlife-human interaction research made more use of physiological measurements and experimental research, which led to management recommendations in 86% of the papers. To be more effective in the future, cetacean-human interaction research needs to make more use of the technology available to measure physiological reactions and employ experimental research designs more often. In the second study, federal, provincial and whale-watching industry documents, personal interviews and participant observation, were used to create a historical record for the development of the whale-watching industry and its management in British Columbia. This historical record was then analysed, based on commons resource management theory, to identify strengths and weaknesses of current management and explore requirements for successful future management. Strengths identified were industry cooperation, self-regulation, a unified voice/forum in Southern Vancouver Island, and a foundation for more effective management. Weaknesses identified were the lack of biological purpose of whale-watching guidelines, and control of vessel behaviour. Successful whale-watching management in the future in B.C. is dependant on Fisheries and Oceans Canada entering into a co-management type regime, in which the experience and self-regulation guidelines of the existing whale-watching industry are taken into account in amendments to the Marine Mammal Regulations. In the third study, whale-watchers in British Columbia were surveyed at the three main whale-watching centres of Johnstone Strait, Tofino and Victoria (n=1617). Data was analysed for: 1) expectations, satisfactions, attitudes and demographics between whale-watching sites, 2) attitudes between pre-whale-watching and post-whale-watching trip groups, and 3) specialization in whale-watchers between sites. Johnstone Strait whale-watchers were the most satisfied, followed by Victoria, then Tofino respondents. Johnstone Strait whale-watchers possessed greater previous cetacean education and whale-watching experience, and displayed the most concern for whale management and general resource management issues, followed by Tofino, then Victoria participants. Although there were some significant differences in attitudes between pre- and post-trip groups, it was unclear whether the interpretation aboard the whale-watching vessels was responsible. Whale-watchers already displayed a high level of concern for cetacean and general resource management issues before embarking on whale-watching trips. A specialization index was developed to classify whale-watchers as Novice, Intermediate, Advance or Expert. The index revealed that 81.6% of whale-watchers were Novice or Intermediate, indicating that whale-watchers in B .C. are generalist-type whalewatchers, with little prior experience or knowledge. Johnstone Strait attracted the most Advance and Expert whale-watchers (34.9%), followed by Tofino (14.1%) and Victoria (9.4%). There is a relationship between increase in percentage of specialized whalewatchers and increase in distance from urban tourism centres. The study reveals that, due to the dominance of generalist whale-watchers in B.C., education needs to start with basic whale and marine ecology to develop a context on which to base more in-depth conservation issues. If whale-watchers are to become part of the management solution, education programs need to aim to develop a greater percentage of specialized whalewatchers. From this study, there are indications that whale-watching could provide a basis for the sustainable management of cetaceans in the future. However, more research needs to be undertaken towards the development of science-based management, and the development of education programs. In addition, management also needs to take ieto account the efforts of established self-regulated whale-watching industries. Currently, whale-watching management protocols are ad-hoc, inconsistent, and are not based in science. Minimum approach distances may not provide protection while researchers investigate the impact of vessel proximity to cetaceans; therefore minimum approach distances are pseudo-precautionary rather than precautionary. Due to the questions that remain regarding ecological impact and educational benefits, whale-watching can not currently be considered ecotourism.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».