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Modelling environmental and survey influences on lek attendance using long-term lek survey data

机译:使用长期的韭葱调查数据来模拟环境和调查对韭葱出勤的影响

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Targeted lek surveys, in which historically active lekking areas are surveyed over multiple years, are commonly used to monitor lek-mating birds. Lek surveys are usually used in habitats and species in which individuals are not easily detected when they are not lekking. Unfortunately, lek surveys suffer from a number of shortcomings, most notably the failure to observe lekking individuals when they are near but not actively attending a lek. Like other sources of imperfect detection, inconsistency in lek attendance may bias estimates of annual population sizes or the proportion of lekking arenas active in a given year. In turn, this may result in unreliable estimates of trends, distributions or other parameters of interest. An improved understanding of the factors affecting lek attendance is crucial to improving the efficacy of many lek monitoring programmes and the utility of lek surveys in estimating population and distributional dynamics. We assess variation in lek attendance in the Lesser Prairie Chicken Tympanuchus pallidicinctus using a subset of data from a long-term monitoring programme in eastern New Mexico, USA. Focusing on lek-years in which at least one male was observed, we used generalized linear models to assess the influence of lek size and survey and environmental characteristics on the probability that at least one male was observed in attendance. Our best-supported model provided evidence for influences of each of these sources of variation. Models suggested that surveyors may improve the likelihood of detecting lek attendance by making small changes to survey duration, targeted survey dates and by considering environmental factors such as weather, habitat and human disturbance. In addition to improving detection, consideration of lek attendance patterns and associated behaviours may improve estimation for more effective conservation in a variety of lekking bird species.
机译:有针对性的韭菜调查通常用于监测韭菜交配的鸟类,在该调查中对历史上活跃的韭菜地区进行了多年调查。沥水调查通常用于栖息地和物种,在这些环境和物种中,不走步时不易发现个体。不幸的是,韭葱调查存在许多缺点,最明显的是未能观察到靠近但不积极参加韭菜的个体。像其他不完善检测的来源一样,韭菜出勤率的不一致可能会使对特定年份的年度人口规模或活跃的韭菜场比例的估计产生偏差。反过来,这可能导致趋势,分布或其他感兴趣参数的估计不可靠。对影响韭菜出勤率的因素的更好理解对于提高许多韭菜监测计划的有效性以及在估计种群和分布动态方面对韭菜调查的实用性至关重要。我们使用来自美国新墨西哥州东部的一项长期监测计划的数据子集,评估了小草原土鸡伤寒沙门氏菌的韭葱出勤率变化。着眼于观察到至少一名男性的韭菜年,我们使用广义线性模型评估了韭菜大小和调查以及环境特征对至少一名男性出勤的概率的影响。我们最受支持的模型为这些变异来源中的每一个的影响提供了证据。模型建议,调查员可以通过对调查持续时间,目标调查日期进行细微更改以及考虑环境因素(例如天气,栖息地和人为干扰)来提高检测韭葱出勤的可能性。除了提高检测效率外,对韭菜出勤模式和相关行为的考虑还可以改善对各种韭菜鸟物种更有效保护的估计。

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