Paiba-García Laura C, Johnsen Geir, Perrin Sam Wenaas, Bakken Torkild
Department of Biology Norwegian University of Science and Technology Trondheim Norway.
University Centre in Svalbard Department of Biology Longyearbyen Norway.
Ecol Evol. 2025 Aug 26;15(8):e71852. doi: 10.1002/ece3.71852. eCollection 2025 Aug.
This work identifies spatial-temporal patterns of marine species biodiversity in the Norwegian, Greenland and Barents Seas and provides specific information in Norway for Environmental Impact Assessments and Statements about area-based indices for biodiversity. The opening of the Norwegian Extended Continental Shelf for deep-sea mining is a currently relevant topic for environmental management, as strategies to minimize mining impacts and delimit key zones for ecological preservation have been widely advised. A quality control procedure covering temporal and spatial scales on open-source biodiversity data was applied, including the compilation of marine species from the archives of the Norwegian North-Atlantic Expedition 1876-1878. Here, we present biodiversity patterns for 10,505,496 marine occurrences from 1876 to 2025 (149 years). Data occurrences were classified into two main datasets (shallow, < 500 m and deep ≥ 500 m) and two sub-datasets for each (planktonic and benthic). 97% of the total were classified in the first main and 3% in the second main. On map view and out of 122,955 grid cells, 32,274 and 15,528 encompass data from the shallow and deep datasets, respectively, with different degrees of coverage inside; most frequently, grid cells with 1 to 10 occurrences. Data is mainly planktonic (20,098 grid cells for shallow-planktonic and 3127 grid cells for deep-planktonic). Peaks of species richness occur from southern to northern latitudes, even with evidently reduced values for species occurrences and abundances at certain latitudes. We conclude that knowledge gaps of benthic biodiversity in the Norwegian deep-sea mining opening area are huge. The cumulative curve of species richness reveals that species identities, included in deep-sea data, are not sufficient to quantify area-based biodiversity indices in the species pool. Our findings are congruent with the need to contemplate data from deeper areas for decision-making at different spatial-temporal windows, especially considering the granting of deep-sea mining licenses.
这项工作确定了挪威海域、格陵兰海和巴伦支海海洋物种生物多样性的时空模式,并为挪威的环境影响评估和关于生物多样性区域指数的声明提供了具体信息。挪威扩大大陆架开放深海采矿是当前环境管理中的一个相关话题,因为广泛建议采取尽量减少采矿影响和划定生态保护关键区域的策略。应用了一个涵盖开源生物多样性数据时空尺度的质量控制程序,包括从1876 - 1878年挪威北大西洋探险档案中汇编海洋物种。在此,我们展示了1876年至2025年(149年)10,505,496次海洋生物出现情况的生物多样性模式。数据出现情况被分类为两个主要数据集(浅海,<500米和深海≥500米),每个数据集又分为两个子数据集(浮游生物和底栖生物)。总数的97%被分类到第一个主要数据集中,3%在第二个主要数据集中。在地图视图上,在122,955个网格单元中,分别有32,274个和15,528个包含来自浅海和深海数据集的数据,内部覆盖程度不同;最常见的是有1至10次出现情况的网格单元。数据主要是浮游生物(浅海浮游生物有20,098个网格单元,深海浮游生物有3127个网格单元)。物种丰富度峰值从南纬到北纬出现,即使在某些纬度物种出现情况和丰度的值明显降低。我们得出结论,挪威深海采矿开放区域底栖生物多样性的知识差距巨大。物种丰富度的累积曲线表明,深海数据中包含的物种身份不足以量化物种库中基于区域的生物多样性指数。我们的研究结果与在不同时空窗口进行决策时考虑来自更深区域数据的必要性一致,特别是在考虑发放深海采矿许可证时。