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arXiv 1706.08281stat.AP
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利用机会数据估算物种相对丰度和生境偏好

Estimation of species relative abundances and habitat preferences using opportunistic data

Camille Coron, Clément Calenge, Christophe Giraud, Romain Julliard

摘要:

我们开发了一个新的统计程序来监测,机会主义的数据,相对物种丰度和他们各自的偏好dierent栖息地类型。继Giraud等人(2015)之后,我们将机会主义数据与一些标准化数据相结合,以纠正机会主义数据收集所固有的偏见。我们的主要贡献是(i)解决由栖息地选择行为引起的偏差,(ii)处理与每个观察相关联的栖息地类型未知的数据,(iii)估计物种栖息地选择的概率。作为一个例子,我们估计常见的鸟类栖息地的偏好和丰富度在阿基坦地区(法国)。

英文摘要:

We develop a new statistical procedure to monitor, with opportunist data, relative species abundances and their respective preferences for dierent habitat types. Following Giraud et al. (2015), we combine the opportunistic data with some standardized data in order to correct the bias inherent to the opportunistic data collection. Our main contributions are (i) to tackle the bias induced by habitat selection behaviors, (ii) to handle data where the habitat type associated to each observation is unknown, (iii) to estimate probabilities of selection of habitat for the species. As an illustration, we estimate common bird species habitat preferences and abundances in the region of Aquitaine (France).

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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