中国东海地区红叶石楠和白叶石楠的季节-空间分布变化及预测:气候变化情景的影响

Animals Pub Date : 2024-07-15 DOI:10.3390/ani14142070
Min Xu, Wangjue Feng, Zunlei Liu, Zhiguo Li, Xiaojing Song, Hui Zhang, Chongliang Zhang, Linlin Yang
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引用次数: 0

摘要

全球气候变化对东海生态系统产生了深远影响,并对该地区的渔业管理提出了重大挑战。此外,渔获量较低的近缘物种在渔业生产中往往不被区分,相关数据在统计和捕捞日志中通常被合并,这给准确预测其栖息地分布范围带来了挑战。在此,利用近缘鱿鱼Loliolus beka(Sasaki,1929)和Loliolus uyii(Wakiya and Ishikawa,1921)的合并渔业无关数据,探讨物种分布模型的构建和预测性能。利用 2018~2019 年黄海南部和东海的数据确定了这两个物种的季节空间分布特征,发现秋季uyii在北纬29.00°处有一条边界线,平均个体体重最高出现在夏季,幼体和幼体均出现在秋季。因此,L. uyii 的生活史可分为冬春育苗期和夏秋产卵期。L. beka 在夏季偏好近岸区域(15-60 米),在冬季偏好离岸区域(32.00-78.00 米)。这两个物种的高价值区在秋季包括黄海南部和中国东海中部的近岸区域,在春季扩大到调查区域的中部区域,然后在夏季明显减少。因此,本研究既为利用有限数据建立生物栖息地分布模型提供了新的视角,也为在气候变化背景下调整渔业资源管理和保护措施提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seasonal-Spatial Distribution Variations and Predictions of Loliolus beka and Loliolus uyii in the East China Sea Region: Implications from Climate Change Scenarios
Global climate change profoundly impacts the East China Sea ecosystem and poses a major challenge to fishery management in this region. In addition, closely related species with low catches are often not distinguished in fishery production and relevant data are commonly merged in statistics and fishing logbooks, making it challenging to accurately predict their habitat distribution range. Here, merged fisheries-independent data of the closely related squid Loliolus beka (Sasaki, 1929) and Loliolus uyii (Wakiya and Ishikawa, 1921) were used to explore the construction and prediction performance of species distribution models. Data in 2018 to 2019 from the southern Yellow and East China Seas were used to identify the seasonal–spatial distribution characteristics of both species, revealing a boundary line at 29.00° N for L. uyii during the autumn, with the highest average individual weight occurring during the summer, with both larvae and juveniles occurring during the autumn. Thus, the life history of L. uyii can be divided into winter–spring nursery and summer–autumn spawning periods. L. beka showed a preference for inshore areas (15–60 m) during the summer and offshore areas (32.00–78.00 m) during the winter. High-value areas of both species included inshore areas of the southern Yellow and mid-East China Seas during the autumn, enlarging during the spring to include central areas of the survey region, before significantly decreasing during the summer. Therefore, this study provides both a novel perspective for modeling biological habitat distribution with limited data and a scientific basis for the adjustment of fishery resource management and conservation measures in the context of climate change.
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