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| DOI | 10.1111/ddi.13811 |
| Ecological niche modelling and population genomics provide insights into the geographic and demographic 'explosion' of a non-indigenous salmonid | |
| 发表日期 | 2024 |
| ISSN | 1366-9516 |
| EISSN | 1472-4642 |
| 起始页码 | 30 |
| 结束页码 | 3 |
| 卷号 | 30期号:3 |
| 英文摘要 | Aim: Effective management of non-indigenous species requires knowledge of their dispersal factors and founder events. We aim to identify the main environmental drivers favouring dispersal events along the invasion gradient and to characterize the spatial patterns of genetic diversity in feral populations of the non-native pink salmon within its epicentre of invasion in Norway.Location: Mainland Norway and North Atlantic Basin.Methods: We first conducted SDM using four modelling techniques with varying levels of complexity, which encompassed both regression-based and tree-based machine-learning algorithms, using climatic data from the present to 2050. Then, we used the triple-enzyme restriction-site associated DNA sequencing (3RADseq) approach to genotype over 30,000 high-quality single-nucleotide polymorphisms to elucidate the patterns of genetic diversity and gene flow within the pink salmon putative invasion hotspot.Results: We discovered temperature- and precipitation-related variables drove pink salmon distributional shifts across its non-native ranges and that climate-induced favourable areas will remain stable for the next 30 years. In addition, all SDMs identified north-eastern Norway as the epicentre of the pink salmon invasion, and genomic data revealed that there was minimal variation in genetic diversity across the sampled populations at a genome-wide level in this region. While utilizing a specific group of 'diagnostic' SNPs, we observed a significant degree of genetic differentiation, ranging from moderate to substantial, and detected four hierarchical genetic clusters concordant with geography.Main Conclusions: Our findings suggest that fluctuations in climate extreme events associated with ongoing climate change will likely maintain environmental favourability for the pink salmon outside its 'native'/introduced ranges. Locally invaded rivers are themselves potential source populations of invaders in the ongoing secondary spread of pink salmon in Northern Norway. Our study shows that SDMs and genomic data can reveal species distribution determinants and provide indicators to aid in post-control measures and potentially inferences about their success. |
| 英文关键词 | adaptive management; invasive bridgehead effect; non-indigenous species; Oncorhynchus gorbuscha; pink salmon; species distribution modelling |
| 语种 | 英语 |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| WOS类目 | Biodiversity Conservation ; Ecology |
| WOS记录号 | WOS:001138761500001 |
| 来源期刊 | DIVERSITY AND DISTRIBUTIONS
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/304921 |
| 作者单位 | Norwegian Institute of Bioeconomy Research; Norwegian Institute of Bioeconomy Research |
| 推荐引用方式 GB/T 7714 | . Ecological niche modelling and population genomics provide insights into the geographic and demographic 'explosion' of a non-indigenous salmonid[J],2024,30(3). |
| APA | (2024).Ecological niche modelling and population genomics provide insights into the geographic and demographic 'explosion' of a non-indigenous salmonid.DIVERSITY AND DISTRIBUTIONS,30(3). |
| MLA | "Ecological niche modelling and population genomics provide insights into the geographic and demographic 'explosion' of a non-indigenous salmonid".DIVERSITY AND DISTRIBUTIONS 30.3(2024). |
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