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Nest survival in Dusky Canada Geese (Branta canadensis occidentalis): Use of discrete-time models

机译:昏暗的加拿大鹅(黑雁)的巢生存:离散时间模型的使用

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The Dusky Canada Goose (Branta canadensis occidentalis) population that breeds in the Copper River Delta, Alaska, has declined substantially since the late 1970s. Persistent low numbers have been attributed to low productivity in recent years. We examined patterns in Survival rates of 1,852 nests to better understand ecological processes that influenced productivity during 1997-2000. We compared 10 nonparametric models of daily survival rate of nests (DSR) that included variation among years, calendar dates, nest initiation dates, and nest ages with equivalent models based on parametric functions. The unequivocal best model included patterns of DSR that varied among discrete periods of years, calendar dates, and nest ages. Generally, DSR was low early in the nesting season and higher midseason. Across years, patterns in DSR were most variable early and late in the nesting season. Daily survival rates of nests declined between the first and second week after initiation, increased until the fourth week, and then declined during the last week before hatch. Nest survival probability estimates ranged from 0.07 to 0.71 across years and nest initiation dates. Mean rates of nest survival ranged between 0.21 and 0.31 each year. We suggest (I) considering models that do not limit estimates of daily nest survival to parametric forms; (2) placing greater emphasis on sample size when nests are rare, to obtain accurate estimates of nest survival; and (3) developing new techniques to estimate the number of nests initiated.
机译:自1970年代后期以来,在阿拉斯加的铜河三角洲繁殖的昏暗的加拿大鹅(Branta canadensis occidentalis)种群大量减少。近年来,持续的低数字归因于生产力低下。我们研究了1,852个巢穴的成活率模式,以更好地了解1997-2000年间影响生产力的生态过程。我们将10个巢的日生存率(DSR)的非参数模型与基于参数函数的等效模型进行了比较,其中包括年,日历日期,巢起始日期和巢龄之间的差异。明确的最佳模型包括DSR模式,该模式在不同的年份,日历日期和巢龄之间变化。通常,在筑巢季节初期,DSR较低,而在中期季节较高。多年来,DSR的模式在筑巢季节的早期和晚期变化最大。巢的日生存率在启动后的第一周和第二周之间下降,直到第四周才增加,然后在孵化前的最后一周下降。巢穴存活概率估计在整个年份和巢穴起始日期范围从0.07到0.71。每年巢的平均存活率在0.21到0.31之间。我们建议(I)考虑不将每日巢生存估计数限制为参数形式的模型; (2)在巢很少的情况下更加注重样本量,以获得精确的巢生存率估计; (3)开发新技术以估计启动的嵌套数量。

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