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首页> 外文期刊>Trends in Ecology & Evolution >Is community-based ecotourism a good use of biodiversity conservation funds?
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Is community-based ecotourism a good use of biodiversity conservation funds?

机译:以社区为基础的生态旅游是否可以很好地利用生物多样性保护资金?

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Community-based ecotourism (CBET) has become a popular tool for biodiversity conservation, based on the principle that biodiversity must pay for itself by generating economic benefits, particularly for local people. There are many examples of projects that produce revenues for local communities and improve local attitudes towards conservation, but the contribution of CBET to conservation and local economic development is limited by factors such as the small areas and few people involved, limited earnings, weak linkages between biodiversity gains and commercial success, and the competitive and specialized nature of the tourism industry. Many CBET projects cited as success stories actually involve little change in existing local land and resource-use practices, provide only a modest supplement to local livelihoods, and remain dependent on external support for long periods, if not indefinitely. Investment in CBET might be justified in cases where such small changes and benefits can yield significant conservation and social benefits, although it must still be recognized as requiring a long term funding commitment. Here, I aim to identify conditions under which CBET is, and is not, likely to be effective, efficient and sustainable compared with alternative approaches for conserving biodiversity. I also highlight the need for better data and more rigorous analysis of both conservation and economic impacts.
机译:基于社区的生态旅游(CBET)已经成为保护生物多样性的一种流行工具,其依据是生物多样性必须通过创造经济利益(特别是对当地人民)产生回报的原则。有许多项目为当地社区创造收入并改善了当地对保护的态度的例子,但是CBET对保护和当地经济发展的贡献受到以下因素的限制,例如面积小,涉及人数少,收益有限,相互之间的联系薄弱生物多样性的获得和商业上的成功,以及旅游业的竞争性和专业性。许多被称为成功案例的CBET项目实际上几乎没有改变当地现有的土地和资源使用方式,仅对当地的生计提供了适度的补充,并且即使不是无限期地,也长期依赖外部支持。在这种微小的变化和收益可以带来显着的保护和社会效益的情况下,对CBET进行投资可能是合理的,尽管仍必须承认它需要长期的资金投入。在这里,我的目的是确定与保护生物多样性的替代方法相比,CBET可能有效,不可能有效的可持续发展条件。我还强调需要对保护和经济影响同时提供更好的数据和更严格的分析。

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