Reid Brendan N, Thiel Richard P, Palsbøll Per J, Peery M Zachariah
From the Department of Herpetology, American Museum of Natural History, Central Park West at 79th Street, New York, NY 10024 (Reid); 7167 Deuce Road, Tomah, WI 54660 (Thiel, retired employee of the Wisconsin Department of Natural Resources); Groningen Institute for Evolutionary Life Sciences, University of Groningen, 9747 AG Groningen, The Netherlands (Palsbøll); and Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53704 (Peery).
J Hered. 2016;107(7):603-614. doi: 10.1093/jhered/esw052. Epub 2016 Aug 23.
Characterizing how frequently, and at what life stages and spatial scales, dispersal occurs can be difficult, especially for species with cryptic juvenile periods and long reproductive life spans. Using a combination of mark-recapture information, microsatellite genetic data, and demographic simulations, we characterize natal and breeding dispersal patterns in the long-lived, slow-maturing, and endangered Blanding's turtle (Emydoidea blandingii), focusing on nesting females. We captured and genotyped 310 individual Blanding's turtles (including 220 nesting females) in a central Wisconsin population from 2010 to 2013, with additional information on movements among 3 focal nesting areas within this population available from carapace-marking conducted from 2001 to 2009. Mark-recapture analyses indicated that dispersal among the 3 focal nesting areas was infrequent (<0.03 annual probability). Dyads of females with inferred first-order relationships were more likely to be found within the same nesting area than split between areas, and the proportion of related dyads declined with increasing distance among nesting areas. The observed distribution of related dyads for nesting females was consistent with a probability of natal dispersal at first breeding between nearby nesting areas of approximately 0.1 based on demographic simulations. Our simulation-based estimates of infrequent female dispersal were corroborated by significant spatial genetic autocorrelation among nesting females at scales of <500 m. Nevertheless, a lack of spatial genetic autocorrelation among non-nesting turtles (males and females) suggested extensive local connectivity, possibly mediated by male movements or long-distance movements made by females between terrestrial nesting areas and aquatic habitats. We show here that coupling genetic and demographic information with simulations of individual-based population models can be an effective approach for untangling the contributions of natal and breeding dispersal to spatial ecology.
确定扩散发生的频率、在什么生命阶段以及空间尺度上发生扩散可能很困难,特别是对于那些幼年阶段隐匿且繁殖寿命长的物种。通过结合标记重捕信息、微卫星遗传数据和种群动态模拟,我们描述了长寿、成熟缓慢且濒危的布兰丁龟(Emydoidea blandingii)的出生扩散和繁殖扩散模式,重点关注筑巢雌龟。2010年至2013年,我们在威斯康星州中部的一个种群中捕获了310只布兰丁龟个体(包括220只筑巢雌龟)并进行基因分型,另外还从2001年至2009年进行的背甲标记中获得了该种群内3个重点筑巢区域之间的移动信息。标记重捕分析表明,在3个重点筑巢区域之间的扩散很少见(年概率<0.03)。推断具有一级关系的雌龟对更有可能在同一筑巢区域内被发现,而不是分布在不同区域,并且相关雌龟对的比例随着筑巢区域之间距离的增加而下降。根据种群动态模拟,筑巢雌龟相关雌龟对的观察分布与首次繁殖时在附近筑巢区域之间出生扩散的概率约为0.1一致。我们基于模拟的雌龟扩散少见的估计得到了<500米尺度上筑巢雌龟之间显著的空间遗传自相关的证实。然而,非筑巢龟(雄龟和雌龟)之间缺乏空间遗传自相关表明存在广泛的局部连通性,这可能是由雄龟的移动或雌龟在陆地筑巢区域和水生栖息地之间的长距离移动介导的。我们在此表明,将遗传和种群动态信息与基于个体的种群模型模拟相结合,可以成为一种有效的方法,用于理清出生扩散和繁殖扩散对空间生态学的贡献。