Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 种间互作对雷州湾海域鱼类群落结构的影响 DOI: 10.5846/stxb202108212330 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发计划"蓝色粮仓科技创新"重点专项资助(2020YFD0901103);南方海洋科学与工程广东省实验室(湛江)资助项目(ZJW-2019-06) Importance of species interactions in structuring fish community of Leizhou Bay waters, northern South China Sea Author: Affiliation: Fund Project: The National Basic Research Program of China (973 Program),其他 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:从鱼类种间互作及其生态网络特征视角研究鱼类群落结构特征,对解析多鱼种共存机制和基于群落水平的多鱼种资源管理均具有重要意义。为分析鱼类资源利用的竞争互作对群落结构稳定性的影响,根据2016-2018年8个航次的雷州湾海域底拖网调查的鱼类数据,将空间生态位重叠理论和生态网络建模相结合,从种间互作的角度应用加权聚类系数C、加权平均路径长度A、关联度Co等指标分析鱼类的群落结构。结果表明:①鱼类生态位重叠所形成的种间互作网络季节变动较大,而年度变动则相对较小,共包含鱼类58-122种,种间互作的关系数量1318-7103。②雷州湾海域鱼类群落内种间互作密集,聚合程度高(C介于0.84-0.98)且能量传递效率高(A介于0.02-0.09),呈现互作弱化之趋势(Co介于0.32-0.48),群落结构总体较稳定。③小尺度范围(20°40'-21°00'N,110°30'-110°45'E)内,鱼类群落内种间互作特征是维持多种鱼类共存的重要内因。该特征表现为季节和年度的变化总体上相似,种间直接关联程度与种间互作强度呈正相关(P<0.01),而局部聚合程度与种间直接关联、互作强度均呈负相关(P<0.01)。本研究可为鱼类群落结构稳定性的量化评价和资源养护的管理规划提供参考依据。 Abstract:The interactions between fish species and their roles in the ecological network on structuring the fish community is a matter of great concern not only for understanding the species coexistence, but also for the multispecies fishery management and conservation at the community level. The data from the bottom trawl surveys of eight cruises in Leizhou Bay waters northern South China Sea during 2016 and 2018 were applied to analyze how the species interactions (interspecific competition in limited resources and space) affected the stability of fish community structure in seasons and years. Combining theories on spatial niche overlap and the ecological network modeling, six indicators such as the weighted clustering coefficient (C), weighted average path length (A), connectance (Co), degree (K), weighted node strength (Si), and locally weighted clustering coefficient (Ci) were respectively applied to measure the degree of community aggregation, the overall energy transfer efficiencies between species, interspecific connectivity, the degree of directly interspecific associations, the intensity of species interactions, and the degree of local aggregation between species. And then we analyzed the importance of species interactions in structuring fish community of Leizhou Bay waters. The results showed that:①the network of species interaction which formed by spatial niche overlap of fishes varied more widely in seasons, but comparatively minor between years, including 58-122 kinds of fishes, and 1318-7103 lines (links between species interactions). ②The fish community was characterized with the intensive interactions, high degrees of aggregation (C ranged between 0.84 and 0.98), high energy transfer efficiencies (A ranged between 0.02 and 0.09), with a weakening tendency of species interactions (Co ranged between 0.32 and 0.48) from 2016 to 2018. The fish community of Leizhou Bay waters was kept in a state of stability in all. ③At the local small scale (20°40'-21°00'N, 110°30'-110°45'E), traits of species interactions of the fish community were similar on the seasonal and annual scale. Two traits were the important internal factors driving the coexistence of multiple fish species in the Leizhou Bay waters. The first was the degree of directly interspecific associations which was positively correlated with the intensity of species interactions (P<0.01). And the second was the degree of local aggregation which was negatively correlated with both the degree of directly interspecific associations and the intensity of species interactions (P<0.01). This study provides clues for the quantitative analysis on the stability of fish community structure and planning of effective coastal fishery resources management and conservation. 参考文献 相似文献 引证文献

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