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首页> 外文期刊>Population ecology >Modelling heterogeneity in detection probabilities in land and aerial abundance surveys in humpback whales ( Emphasis Type='Italic'>Megaptera novaeangliae/Emphasis>)
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Modelling heterogeneity in detection probabilities in land and aerial abundance surveys in humpback whales ( Emphasis Type='Italic'>Megaptera novaeangliae/Emphasis>)

机译:在驼背鲸中的土地和空中丰富调查中的检测概率模型异质性(&强调=“斜体”>兆瓦Novaeangliae& /重点>)

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摘要

The effective management and conservation of animal populations relies on statistically-sound and replicable surveys to obtain estimates of abundance and assess trends. Surveys of cetaceans, such as humpback whales Megaptera novaeangliae , are difficult to conduct and are particularly affected by bias in detection probability. For example, the probability of detection of whales from land decreases substantially with increased distance from the platform. This distance effect is also true for aerial surveys, combined with the problem that animals are unavailable for detection (underwater) whilst in the field of view. We present a novel approach that combines corrected double-platform land surveys with corrected aerial surveys to obtain a robust estimate of g (0), the probability of detection on the survey line, for aerial surveys of migrating humpback whales. Several sources of heterogeneity in detection probabilities were identified within the land and aerial surveys (including group composition, bearing of first sighting, number of groups being tracked simultaneously and cloud cover). After including these into our estimate of ? (0), we found that only 29% of available whales are being detected on the survey line ( ? (0)?=?0.288), which is a considerably smaller estimate than many available for humpback whales using other methods. Incorporating heterogeneity into the population surveys shows that we are likely to be underestimating the population size of whales on the east coast of Australia. The implications of this result for their conservation and management in light of increased whale-human conflict is discussed.
机译:动物群体的有效管理和保护依赖于统计声音和可复制的调查,以获得丰富和评估趋势的估计。鲸类的调查,例如驼背鲸兆瓦诺伊州诺涂菊属,难以进行,并且特别受到检测概率偏差的影响。例如,从陆地检测鲸鱼的概率基本上随着距平台的距离而大致减小。对于空中调查,这种距离效应也是如此,结合在视野中的检测(水下)无法进行的问题。我们提出了一种新的方法,将校正的双重平台陆地调查结合了纠正的空中调查,以获得G(0)的稳健估计,用于迁移驼背鲸的空中调查的测量线的检测概率。在陆地和空中调查中鉴定了几种检测概率的异质性源(包括组合物组合物,第一瞄准的轴承,同时跟踪的组数以及云覆盖)。在包括这些估计的情况下包括? (0),我们发现,在调查线上只检测到29%的可用鲸鱼(?(0)?= 0.288),其比使用其他方法的驼背鲸可用的估计比许多更小的估计。将异质性纳入人口调查表明,我们可能会低估澳大利亚东海岸的鲸鱼人口大小。讨论了这一结果对他们的保护和管理的影响,以增加鲸鱼 - 人类冲突。

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