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New method to identify and map flagship fleets for promoting conservation and ecotourism

机译:识别和地图促进保护和生态旅游旗舰舰队的新方法

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摘要

Evaluating flagship species and their potential for biological preservation and ecotourism development is a key issue for many audiences within the conservation and social fields. Despite several methods available to identify flagships, their application is often constrained in remote, poorly studied regions. Developments are needed in statistical and spatially-explicit approaches to assess species' traits influencing flagship appealing, to identify flagship fleets, and to map the location of flagship hotspots. Here, we developed a new method to identify flagship species in regions with knowledge gaps, using a two-stage statistical approach (ordination and clustering algorithms) to assess variable's contribution to appealing and to group species sharing similar characteristics into flagship fleets. We then mapped areas concentrating the highest richness of flagships. Unique morphologies and behaviours, conservation status, endemicity, body size and weight, and feeding habits were the traits contributing the most to the flagship appealing. Nine flagship fleets were identified, from which two were the most suitable for conservation marketing and ecotourism promotion campaigns in Sahara-Sahel: Fleet A comprising 36 large-bodied species (18 mammals, 18 reptiles) and Fleet B including 70 small-bodied species (10 birds, six mammals, 54 reptiles). A total of 19 and 16 hotspots were identified for large-bodied and small-bodied flagships, respectively. The methodology was suitable to identify flagship species for conservation marketing and for developing ecotourism operations in the Sahara-Sahel, to independently assess which species' traits are relevant for flagship appealing, and to organise fleets for multispecies-based marketing campaigns. The framework is scalable and replicable worldwide.
机译:评估旗舰物种及其对生物保护和生态旅游发展的潜力是保护和社会领域的许多受众的关键问题。尽管有几种可用于识别旗舰的方法,但它们的应用程序通常受到偏远,学习的地区的限制。在统计和空间 - 明确的方法中需要进展,以评估影响旗舰旗舰的物种的特征,以识别旗舰舰队,并映射旗舰热点的位置。在这里,我们开发了一种新的方法,以识别具有知识差距的区域中的旗舰物种,使用两级统计方法(订单和聚类算法)来评估变量对吸引人的贡献以及将类似特征分享到旗舰舰队的组种。然后,我们专注于旗舰的最高丰富的地区。独特的形态和行为,保护地位,流行,体重和体重,以及饲养习惯是旗舰吸引力最大的特征。确定了九个旗舰舰队,其中两个是撒哈拉州的保护营销和生态旅游促进活动中最适合的:舰队A包含36种大型物种(18个哺乳动物,18名爬行动物)和舰队B,包括70种小型物种( 10只鸟,六个哺乳动物,54名爬行动物)。共有19和16种热点分别用于大型和小型旗舰。该方法适用于识别保护营销的旗舰物种以及在撒哈拉州的生态旅游业务,独立评估哪些物种的特质与旗舰呼吁有关,并为基于多数的营销活动组织舰队。框架是全球可扩展和复制的。

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