白鱼种群动态的同步性:解开当地驱动因素和气候的影响

Pub Date : 2023-06-08 DOI:10.4081/jlimnol.2023.2134
Fabien Bourinet, O. Anneville, H. Drouineau, C. Goulon, J. Guillard, A. Richard
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引用次数: 1

摘要

同一物种种群丰度的同步变化是在各种环境中,包括湖泊和不同淡水鱼分类群中遇到的常见现象。这种现象可能是由物理上分离的种群之间相似的环境条件造成的。在持续的气候变化背景下,为了改善渔业管理,必须检验这一假设,确定推动同步的因素并阐明其机制。本研究调查了五个近高山湖泊欧洲白鱼(Coregonus spp.)种群的共时变化。这一假设表明,共同的生物或非生物因素导致了白鱼上岸的相似趋势。分析了影响物种早期生命阶段的环境和季节变量,并计算了多元时间序列之间的欧几里得距离,以确定湖泊环境参数的相似性或差异性。我们发现湖区冬季和春季的区域温度是一致的,但这些因素并不能完全解释登陆数据的变化。风强度、水位和浮游动物丰度显示出湖泊特有的模式,可以更好地解释当地的条件和动态。线性模型没有揭示出所有湖泊与共同环境变量的一致相关性。然而,在四个湖泊中发现了明显的关系,当地因素对丰度变化有显著贡献。水蚤属(Daphnia spp.)是白鱼幼虫的主要食物来源,其春季丰度是日内瓦湖和布尔歇湖鱼类上岸趋势的主要相关因素。较高的水蚤可利用性可降低种内竞争和密度依赖性死亡率。在neuch湖,冬季水温与鱼类丰度指标呈负相关,表明暖冬可能会影响繁殖成功。在2000年代后期捕捞活动大幅减少之后,安纳西湖的白鱼数量有所增加。白鱼的上岸量与捕捞量呈显著负相关。在Aiguebelette湖没有发现这种关系,可能是由于缺乏浮游动物数据。总之,观察到的欧洲白鱼种群的同步性可能是由相互作用的环境和人为因素共同驱动的,而不是单一的共同变量。为了更好地理解这些复杂的关系,需要进一步的研究和更详细的数据集。封面图片:白鱼(由r2013.mi Masson提供)
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Synchrony in whitefish stock dynamics: disentangling the effects of local drivers and climate
Synchronic variations in abundance in populations of the same species are common phenomena encountered in various environments, including lakes, and different taxa of freshwater fishes. This phenomenon can be caused by similar environmental conditions across physically separated populations. In the context of the ongoing climate change, it is essential to test this hypothesis, identify the factors driving the synchrony and elucidate the mechanisms, in the attempt to improve fisheries management. This study investigates synchronic variations in European whitefish (Coregonus spp.) populations in five peri-alpine lakes. The hypothesis suggests that shared biotic or abiotic factors contribute to similar trends in whitefish landings. Environmental and seasonal variables impacting the early life stages of the species were analyzed, and the Euclidean distances between the multivariate time series were calculated to identify similarities or dissimilarities in lake environmental parameters. We found that regional winter and spring temperatures were consistent across the lakes, but these factors did not fully account for variations in landings statistics. Wind intensity, water level and zooplankton abundance showed lake-specific patterns that could better explain local conditions and dynamics. Linear models did not reveal a coherent correlation with a common environmental variable across all lakes. However, distinct relationships were found in four of the lakes, with local factors significantly contributing to abundance variations. The spring abundance of Daphnia spp., a primary food source for whitefish larvae, was the main factor correlated with fish landing trends in Lake Geneva and Lake Bourget. Higher availability of Daphnia spp. may decrease intraspecific competition and density-dependent mortality. In Lake Neuchâtel, winter water temperature was negatively correlated with fish abundance proxies, suggesting that warmer winters may compromise reproduction success. Lake Annecy saw an increase in whitefish landings following a substantial reduction in fishing efforts during the late 2000s. A significant negative correlation was found between whitefish landings and fishing efforts. No relationship was found for Lake Aiguebelette, maybe due to a lack of zooplankton data. In conclusion, the observed synchrony in the European whitefish population is likely driven by a combination of interacting environmental and anthropogenic factors rather than a single common variable. Further research and a more detailed dataset are needed to better understand these complex relationships.   Cover image: Whitefish (courtesy of Rémi Masson)
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