Suppr超能文献

热带森林生物多样性调查的成本效益

The cost-effectiveness of biodiversity surveys in tropical forests.

作者信息

Gardner Toby A, Barlow Jos, Araujo Ivanei S, Avila-Pires Teresa Cristina, Bonaldo Alexandre B, Costa Joana E, Esposito Maria Cristina, Ferreira Leandro V, Hawes Joseph, Hernandez Malva I M, Hoogmoed Marinus S, Leite Rafael N, Lo-Man-Hung Nancy F, Malcolm Jay R, Martins Marlucia B, Mestre Luiz A M, Miranda-Santos Ronildon, Overal William L, Parry Luke, Peters Sandra L, Ribeiro-Junior Marco Antônio, da Silva Maria N F, da Silva Motta Catarina, Peres Carlos A

机构信息

Centre for Ecology, Evolution and Conservation, School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK.

出版信息

Ecol Lett. 2008 Feb;11(2):139-50. doi: 10.1111/j.1461-0248.2007.01133.x. Epub 2007 Nov 21.

Abstract

The identification of high-performance indicator taxa that combine practical feasibility and ecological value requires an understanding of the costs and benefits of surveying different taxa. We present a generic and novel framework for identifying such taxa, and illustrate our approach using a large-scale assessment of 14 different higher taxa across three forest types in the Brazilian Amazon, estimating both the standardized survey cost and the ecological and biodiversity indicator value for each taxon. Survey costs varied by three orders of magnitude, and dung beetles and birds were identified as especially suitable for evaluating and monitoring the ecological consequences of habitat change in our study region. However, an exclusive focus on such taxa occurs at the expense of understanding patterns of diversity in other groups. To improve the cost-effectiveness of biodiversity research we encourage a combination of clearer research goals and the use of an objective evidence-based approach to selecting study taxa.

摘要

识别兼具实际可行性和生态价值的高性能指示分类群,需要了解调查不同分类群的成本与收益。我们提出了一个用于识别此类分类群的通用且新颖的框架,并通过对巴西亚马逊地区三种森林类型中的14个不同高等分类群进行大规模评估来说明我们的方法,同时估算每个分类群的标准化调查成本以及生态和生物多样性指示价值。调查成本相差三个数量级,在我们的研究区域,蜣螂和鸟类被确定为特别适合用于评估和监测栖息地变化的生态后果。然而,仅关注此类分类群是以牺牲对其他类群多样性模式的了解为代价的。为提高生物多样性研究的成本效益,我们鼓励将更明确的研究目标与采用基于客观证据的方法来选择研究分类群相结合。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验