Ruzzante Daniel E, McCracken Gregory R, Fraser Dylan J, MacMillan John, Buhariwalla Colin, Flemming Joanna Mills
Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
Department of Biology, Concordia University, Montreal, Quebec, Canada.
Mol Ecol Resour. 2025 Apr;25(3):e14047. doi: 10.1111/1755-0998.14047. Epub 2024 Nov 24.
Although efforts to estimate effective population size, census size and their ratio in wild populations are expanding, few empirical studies investigate interannual changes in these parameters. Hence, we do not know how repeatable or representative many estimates may be. Answering this question requires studies of long-term population dynamics. Here we took advantage of a rich dataset of seven brook trout (Salvelinus fontinalis) populations, 5 consecutive years and 5400 individuals genotyped at 33 microsatellites to examine variation in estimates of effective and census size and in their ratio. We first estimated the annual effective number of breeders ( ) using individuals aged 1+. We then adjusted these estimates using two life history traits, to obtain and subsequently, following Waples et al. (2013). was estimated for the years 2014 to 2019. Census size was estimated by mark recapture using double-pass electrofishing ( ) (years 2014-2018) as well as by the Close Kin Mark Recapture approach ( ) (years 2015-2017). Within populations, annual variation in (ratio of maximum to minimum ) ranged from 1.6-fold to 58-fold. Over all 7 populations, the median annual variation in was around 5-fold. These results reflect important interannual changes in the variance in reproductive success and more generally in population dynamics. Within population varied between years by a (median) factor of 2.7 with a range from 2 to 4.3. Thus, estimated effective size varied nearly twice as much as did estimated census size. Our results therefore suggest that, at least in small populations like those examined in the present study, any single annual estimate of is unlikely to be representative of long-term dynamics. At least 3-4 annual estimates may be required for an estimate of contemporary effective size to be truly representative. We then compared to . For five of the seven populations, the estimates of population abundance based on mark recapture ( ) were indistinguishable from those based on close kin mark recapture ( ). The two populations with discordant and exhibited extremely low ratios and the largest annual variation in (58-fold and 35.4-fold respectively). These results suggest that sampling effort in these two streams may have been insufficient to properly capture the genetic diversity of the entire population and that individuals sampled were not representative of the population. Our study further validates CKMR as a method for estimating abundance in wild populations and it demonstrates how knowledge of the temporal variation in can be used to identify potential sources of discrepancies between and .
尽管估算野生种群有效种群大小、普查大小及其比率的研究不断增加,但很少有实证研究调查这些参数的年际变化。因此,我们并不清楚许多估算结果的可重复性或代表性如何。回答这个问题需要对长期种群动态进行研究。在此,我们利用了一个丰富的数据集,该数据集包含7个溪红点鲑(Salvelinus fontinalis)种群,连续5年、共5400个个体在33个微卫星位点进行了基因分型,以研究有效大小和普查大小估算值及其比率的变化。我们首先使用1岁以上个体估算每年的有效繁殖个体数( )。然后,我们根据两个生活史特征对这些估算值进行调整,以获得 ,随后按照Waples等人(2013年)的方法得到 。对2014年至2019年进行了 的估算。普查大小通过双程电捕鱼标记重捕法( )(2014 - 2018年)以及近亲标记重捕法( )(2015 - 2017年)进行估算。在种群内部, (最大值与最小值之比)的年际变化范围为1.6倍至58倍。在所有7个种群中, 的年际变化中位数约为5倍。这些结果反映了繁殖成功率方差以及更普遍的种群动态中的重要年际变化。在种群内部, 随年份变化(中位数)为2.7倍,范围从2到4.3。因此,估算的有效大小变化幅度几乎是估算普查大小的两倍。我们的结果表明,至少在本研究中所考察的小型种群中,任何单一的年度 估算值都不太可能代表长期动态。要使当代有效大小的估算真正具有代表性,可能至少需要3 - 4个年度估算值。然后,我们将 与 进行了比较。在7个种群中的5个种群中,基于标记重捕法( )的种群丰度估算值与基于近亲标记重捕法( )的估算值没有差异。 和 不一致的两个种群表现出极低的 比率以及最大的 年际变化(分别为58倍和35.4倍)。这些结果表明,这两条溪流中的采样工作可能不足以充分捕捉整个种群的遗传多样性,并且所采样的个体不能代表整个种群。我们的研究进一步验证了CKMR作为估算野生种群丰度的一种方法,并且展示了如何利用 的时间变化知识来识别 和 之间差异的潜在来源。