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Seasonal productivity in a population of migratory songbirds: why nest data are not enough

机译:迁徙鸣禽种群的季节性生产力:为什么巢穴数据不足

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Population models for many animals are limited by a lack of information regarding juvenile survival. In particular, studies of songbird reproductive output typically terminate with the success or failure of nests, despite the fact that adults spend the rest of the reproductive season rearing dependent fledglings. Unless fledgling survival does not vary, or varies consistently with nest productivity, conclusions about population dynamics based solely on nest data may be misleading. During 2007 and 2008, we monitored nests and used radio telemetry to monitor fledgling survival for a population of Ovenbirds ( Seiurus aurocapilla ) in a managed‐forest landscape in north‐central Minnesota, USA. In addition to estimating nest and fledgling survival, we modeled growth for population segments partitioned by proximity to edges of non‐nesting cover types (regenerating clearcuts). Nest survival was significantly lower, but fledgling survival was significantly higher, in 2007 than in 2008. Despite higher nest productivity in 2008, seasonal productivity (number of young surviving to independence per breeding female) was higher in 2007. Proximity to clearcut edge did not affect nest productivity. However, fledglings from nests near regenerating sapling‐dominated clearcuts (7–20 years since harvest) had higher daily survival (0.992 ± 0.005) than those from nests in interior forest (0.978 ± 0.006), which in turn had higher daily survival than fledglings from nests near shrub‐dominated clearcuts (≤6 years since harvest; 0.927 ± 0.030) in 2007, with a similar but statistically non‐significant trend in 2008. Our population growth models predicted growth rates that differed by 2–39% (xˉ = 25%) from simpler models in which we replaced our estimates of first‐year survival with one‐half adult annual survival (an estimate commonly used in songbird population growth models). We conclude that nest productivity is an inadequate measure of songbird seasonal productivity, and that results based exclusively on nest data can yield misleading conclusions about population growth and clearcut edge effects. We suggest that direct estimates of juvenile survival could provide more accurate information for the management and conservation of many animal taxa.
机译:由于缺乏有关少年生存的信息,许多动物的种群模型受到限制。尤其是,尽管成年鸟在繁殖季节的剩余时间里都在饲养成年的雏鸟,但对鸟的繁殖产量的研究通常会以巢的成败而终止。除非雏鸟的生存率没有变化,或者随着巢的生产力而变化,否则仅基于巢数据的种群动态结论可能会产生误导。在2007年至2008年期间,我们对巢穴进行了监测,并使用无线电遥测技术监测了美国明尼苏达州中北部一片受管理森林景观中的鸟巢(Seiurus aurocapilla)雏鸟的存活情况。除了估计巢和雏鸟的存活率之外,我们还对人口部分的增长进行了建模,这些人口部分按与非嵌套覆盖类型的边缘的接近程度进行了划分(重新生成清晰的边界)。 2007年的巢穴存活率明显低于2008年,但雏鸟的存活率却明显高于2008年。尽管2008年的巢穴生产力较高,但2007年的季节性生产力(每个繁殖雌性存活至独立的年轻幼鸟的数量)较高。影响巢的生产力。但是,靠近幼树为主的无性系(收获后7至20年)的巢中的雏鸟的日生存率(0.992±0.005)要比内部森林中巢中的雏鸟(0.978±0.006)要高,反过来,这些雏鸟的日生存率也比雏树高。来源于2007年灌木为主的灌木丛附近的巢穴(收获后≤6年; 0.927±0.030),2008年的趋势相似但在统计学上不显着。我们的人口增长模型预测的增长率相差2–39%(xˉ= 25%),这是从较简单的模型中得出的,其中我们将第一年生存的估算值替换为成年成年生存的一半(通常是鸣禽种群增长模型中的估算值)。我们得出的结论是,巢的生产力不足以衡量鸣禽的季节性生产力,并且仅基于巢数据的结果可能会得出有关种群增长和明显边缘效应的误导性结论。我们建议直接估计幼体的存活率可以为许多动物分类群的管理和保护提供更准确的信息。

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