Chat Joelle, Lamarins Amaia, Lepais Olivier
INRAE, Université de Pau et des Pays de l'Adour, E2S UPPA, ECOBIOP, Aquapôle INRAE, MIRA, Saint-Pée-sur-Nivelle, France.
INRAE, Univ. Bordeaux, BIOGECO, Bordeaux, France.
J Fish Biol. 2022 Oct;101(4):937-944. doi: 10.1111/jfb.15152. Epub 2022 Jul 29.
For both conservation and management purposes, it is important to identify the natal origin of migratory individuals entering a river, particularly in genetically spatially structured species like brown trout (Salmo trutta) where the migrant ecotype (called sea trout) can originate from different populations. Nonetheless, little attention has been paid to the spatial distribution of non-local fish at the level of an entire river catchment. The objective of the study was to quantify the proportion of non-local sea trout entering a river catchment (i.e., straying rate) and estimate the spatial extent of their upstream migration. Here, the authors considered dispersal in three distinct rivers, taking advantage of 10 sampling sites. Sea trout, either trapped or rod-caught, were genotyped and genetically assigned to their source populations using appropriate baselines. Based on 1437 sea trout fish classified as local or non-local, the authors empirically demonstrate that straying rate declines in each river as distance from the coast increases in a non-linear fashion. Straying rate exceeds 50% near the mouth, and then decreases gradually to reach <10% 40-50 km inland. A similar spatial pattern is found in the three rivers investigated suggesting an underlying common behaviour of non-local sea trout. The data and results presented here suggest that straying in is far more constrained spatially than first expected. The majority of non-local sea trout were found within the first 25 km of the estuary in the three rivers investigated.
出于保护和管理目的,识别进入河流的洄游个体的出生地很重要,特别是对于像褐鳟(Salmo trutta)这样具有遗传空间结构的物种,其洄游生态型(称为海鳟)可能来自不同种群。然而,在整个河流集水区层面,非本地鱼类的空间分布很少受到关注。本研究的目的是量化进入河流集水区的非本地海鳟的比例(即偏离率),并估计它们向上游洄游的空间范围。在此,作者利用10个采样点,考虑了三条不同河流中的扩散情况。对捕获或钓获的海鳟进行基因分型,并使用适当的基线将其按遗传分配到其源种群。基于1437条被分类为本地或非本地的海鳟,作者通过实证证明,随着离海岸距离的增加,每条河流中的偏离率呈非线性下降。在河口附近,偏离率超过50%,然后逐渐下降,在内陆40 - 50公里处降至<10%。在所调查的三条河流中发现了类似的空间模式,这表明非本地海鳟存在潜在的共同行为。这里呈现的数据和结果表明,进入的偏离在空间上比最初预期的受到更多限制。在所调查的三条河流中,大多数非本地海鳟是在河口的前25公里内发现的。