东部野生火鸡雏鸡比与种群指数的相关性研究繁殖密度依赖性

J. D. McGhee, J. Berkson
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引用次数: 3

摘要

了解密度如何影响种群增长对野生火鸡的收获管理很重要。不幸的是,可用的时间序列通常太短,无法对密度依赖性进行统计检测。利用来自7个州野生动物机构的数据评估了野生火鸡招募与种群规模之间的相关性,通过使用多个数据集规避了短时间序列的问题。计算了31个地理或收获管理区所调查的鸡雏比与基于收获的种群指数之间的相关系数。对估计的相关系数进行同质性检验,以确定是否可以计算出平均相关性。29个地区的相关系数在-0.82 ~ 0.70之间。同质性的Q检验表明,相关系数足够相似,可以取平均值[Q=25.45, df = 28, P = 0.603]。加权平均相关系数(±标准误差)r = -0.30±0.45。种群大小对产量的影响很小(r = 0.09)。图解分析表明,当群体规模范围较大时,鸡雏比与群体规模呈负相关。密度依赖性似乎对产量影响不大。密度独立模型在模拟野生火鸡产量方面应该更成功,而密度依赖效应可能对低种群规模下的生存或迁移有更大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of Eastern Wild Turkey Poult:hen Ratios with Population Indices to Detect Reproductive Density Dependence
Knowledge of how density affects population growth is important for the harvest management of wild turkey. Unfortunately, available time-series are often too short for statistical detection of density dependence. The correlation between wild turkey recruitment and population size was assessed using data from 7 state wildlife agencies, circumventing the problem of short time-series by using multiple datasets. Correlation coefficients were calculated between surveyed poult:hen ratios and harvest-based population indices for 31 geographic or harvest management regions. Estimated correlation coefficients were tested for homogeneity to determine if an average correlation could be calculated. Correlation coefficients for the 29 regions ranged from -0.82 to 0.70. A Q-test for homogeneity indicated that correlation coefficients were similar enough to warrant averaging [Q=25.45, df = 28, P = 0.603]. The weighted average correlation coefficient (± standard error) was r = -0.30 ± 0.45. Population size accounted for little of the variation associated with production (r = 0.09). Graphical analysis indicated that a negative correlation between poult:hen ratios and population size tended to occur when the range of population sizes was large. Density dependence appears to have little effect on production. Density-independent models should have better success modeling wild turkey production, while density-dependent effects may have stronger influence on survival or immigration at low population sizes.
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