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A Double-Observer Method to Estimate Detection Rate During Aerial Waterfowl Surveys

机译:一种双观测器方法估计空中水禽调查中的检测率

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We evaluated double-observer methods for aerial surveys as a means to adjust counts of waterfowl for incomplete detection. We conducted our study in eastern Canada and the northeast United States utilizing 3 aerial-survey crews flying 3 different types of fixed-wing aircraft. We reconciled counts of front- and rear-seat observers immediately following an observation by the rear-seat observer (i.e., on-the-fly reconciliation). We evaluated 6 a priori models containing a combination of several factors thought to influence detection probability including observer, seat position, aircraft type, and group size. We analyzed data for American black ducks (Anas rubripes) and mallards (A. platyrhynchos), which are among the most abundant duck species in this region. The best-supported model for both black ducks and mallards included observer effects. Sample sizes of black ducks were sufficient to estimate observer-specific detection rates for each crew. Estimated detection rates for black ducks were 0.62 (SE = 0.10), 0.63 (SE = 0.06), and 0.74 (SE = 0.07) for pilot-observers, 0.61 (SE = 0.08), 0.62 (SE = 0.06), and 0.81 (SE = 0.07) for other front-seat observers, and 0.43 (SE = 0.05), 0.58 (SE = 0.06), and 0.73 (SE = 0.04) for rear-seat observers. For mallards, sample sizes were adequate to generate stable maximum-likelihood estimates of observer-specific detection rates for only one aerial crew. Estimated observer-specific detection rates for that crew were 0.84 (SE = 0.04) for the pilot-observer, 0.74 (SE = 0.05) for the other front-seat observer, and 0.47 (SE = 0.03) for the rear-seat observer. Estimated observer detection rates were confounded by the position of the seat occupied by an observer, because observers did not switch seats, and by land-cover because vegetation and landform varied among crew areas. Double-observer methods with on-the-fly reconciliation, although not without challenges, offer one viable option to account for detection bias in aerial waterfowl surveys where birds are distributed at low density in remote areas that are inaccessible by ground crews. Double-observer methods, however, estimate only detection rate of animals that are potentially observable given the survey method applied. Auxiliary data and methods must be considered to estimate overall detection rate.
机译:我们评估了航空观测的双观测器方法,作为调整水禽计数以进行不完全检测的一种方法。我们在加拿大东部和美国东北部进行了研究,利用3名空中调查人员驾驶3种不同类型的固定翼飞机进行了研究。我们在对后座观察员进行观察后立即对前座和后座观察员的数量进行核对(即即时对帐)。我们评估了6个先验模型,其中包含多种因素的组合,这些因素被认为会影响检测概率,包括观察者,座位位置,飞机型号和团体人数。我们分析了美国黑鸭(Anas rubripes)和野鸭(A. platyrhynchos)的数据,它们是该地区最丰富的鸭种之一。黑鸭和野鸭的最佳支持模型包括观察者效果。黑鸭的样本量足以估计每个机组人员的观察者特定检测率。黑鸭的估计检出率分别为飞行员观察者0.62(SE = 0.10),0.63(SE = 0.06)和0.74(SE = 0.07),0.61(SE = 0.08),0.62(SE = 0.06)和0.81(对于其他前座观察者,SE = 0.07),对于后座观察者为0.43(SE = 0.05),0.58(SE = 0.06)和0.73(SE = 0.04)。对于野鸭来说,样本量足以产生仅一名空中乘务员对观察者特定探测率的稳定最大似然估计。该飞行员的观察者特定观察者特定检测率是飞行员观察者为0.84(SE = 0.04),其他前座观察者为0.74(SE = 0.05),后座观察者为0.47(SE = 0.03)。估计的观察者发现率与观察者所占据的座位位置,观察者没有转换座位,位置和土地覆盖(因为乘员区域之间的植被和地貌不同)混淆。具有即时调节功能的双观测器方法虽然并非没有挑战,但提供了一种可行的方法来解决空中水禽调查中的检测偏差,在这种调查中,鸟类以低密度分布在地勤人员无法到达的偏远地区。但是,双观测器方法仅估计在应用调查方法的情况下可能可观察到的动物的检出率。必须考虑使用辅助数据和方法来估计总体检测率。

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