Predicting potential Arctic kelp distribution and lower-depth biomass from seafloor irradiance

IF 1.9 3区 地球科学 Q2 LIMNOLOGY
Limnology and Oceanography: Methods Pub Date : 2026-03-15 Epub Date: 2025-12-01 DOI:10.1002/lom3.70018
Laura Castro de la Guardia, Inka Bartsch, Haakon Hop, Sarina Niedzwiedz, Luisa Düsedau, Nora Diehl, Dorte Krause-Jensen, Mikael Sejr, Thomas Gjerfluff Ager, Jean-Pierre Gattuso, Robert W. Schlegel, Cale A. Miller, Karen Filbee-Dexter, Pedro Duarte
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Abstract

Kelps have an extensive distribution in Arctic coastal waters. However, quantifying their role in the Arctic food web and carbon cycle is challenged by the scarcity of documented geographical distribution, standing stocks and production. Here we present a framework based on an empirical function to predict the potential kelp distribution and their summer biomass as a function of seafloor irradiance and bathymetry. Predictions of biomass were limited to the lower-depth, light-limited range of the kelp distribution, where the fit of the empirical function was significant (from the depth of maximum biomass to the deepest kelp extent). The model was developed and tested in Kongsfjorden, Svalbard, and applied in six additional fjords in the Arctic. The predicted potential kelp biomass in the fjords ranged from 0.6 to 4.7 kg WW m−2 and was in good agreement with published values. The resulting kelp standing stock ranged from 0.4 to 300 Gg DW, corresponding to 0.2–109 Gg C. These potential estimates account for light limitation, but do not consider substrata or other factors limiting the kelp distribution area. We identified fjord-specific dependencies between predicted standing stocks and seafloor irradiance and between seafloor irradiance and its drivers (surface irradiance and water column light attenuation) but found no significant change between 2004 and 2022. Our framework provides a baseline for estimating potential kelp biomass from seafloor irradiance, which is expected to change with increasing sediment runoff causing coastal darkening.

Abstract Image

从海底辐照度预测潜在的北极海带分布和低深度生物量
海带在北极沿海水域分布广泛。然而,量化它们在北极食物网和碳循环中的作用受到缺乏记录的地理分布、常存量和产量的挑战。在这里,我们提出了一个基于经验函数的框架来预测潜在的海带分布及其夏季生物量作为海底辐照度和水深的函数。生物量的预测仅限于海带分布的低深度、限光范围,其中经验函数的拟合是显著的(从最大生物量的深度到最深的海带范围)。该模型在斯瓦尔巴群岛的kongsjorden进行了开发和测试,并在北极的另外六个峡湾进行了应用。预测峡湾潜在海带生物量在0.6 ~ 4.7 kg WW m−2之间,与已公布的值吻合较好。由此得到的海带存量范围为0.4 ~ 300 Gg DW,对应于0.2 ~ 109 Gg c。这些潜在的估计值考虑了光照限制,但没有考虑限制海带分布面积的基质或其他因素。我们确定了预测存量与海底辐照度之间以及海底辐照度与其驱动因素(表面辐照度和水柱光衰减)之间的峡湾特定依赖关系,但发现2004年至2022年之间没有显著变化。我们的框架为估算海底辐照带来的潜在海带生物量提供了一个基线,预计海底辐照会随着沉积物径流的增加而变化,从而导致海岸变暗。
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来源期刊
CiteScore
4.80
自引率
3.70%
发文量
56
审稿时长
3 months
期刊介绍: Limnology and Oceanography: Methods (ISSN 1541-5856) is a companion to ASLO''s top-rated journal Limnology and Oceanography, and articles are held to the same high standards. In order to provide the most rapid publication consistent with high standards, Limnology and Oceanography: Methods appears in electronic format only, and the entire submission and review system is online. Articles are posted as soon as they are accepted and formatted for publication. Limnology and Oceanography: Methods will consider manuscripts whose primary focus is methodological, and that deal with problems in the aquatic sciences. Manuscripts may present new measurement equipment, techniques for analyzing observations or samples, methods for understanding and interpreting information, analyses of metadata to examine the effectiveness of approaches, invited and contributed reviews and syntheses, and techniques for communicating and teaching in the aquatic sciences.
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