Environmental DNA for monitoring the impact of offshore wind farms on fish and invertebrate community structures

Q1 Agricultural and Biological Sciences Environmental DNA Pub Date : 2024-06-30 DOI:10.1002/edn3.575
Isolde Cornelis, Annelies De Backer, Sara Maes, Joran Vanhollebeke, Rein Brys, Tom Ruttink, Kris Hostens, Sofie Derycke
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Abstract

To reach the renewable energy targets set by the European Commission, a tenfold expansion of the installed offshore wind farms is needed. Since the construction of offshore wind farms may affect local soft-sediment fauna, an efficient monitoring technique is needed to monitor the potential effects on the marine ecosystem. Here, we assess whether eDNA metabarcoding is a suitable alternative to monitor fish and epibenthos biodiversity in these difficult to access marine habitats. Water sampling and trawl surveys were conducted in parallel in 12 coastal and 18 offshore sites, the latter located inside and outside two offshore wind farms in the Belgian part of the North Sea. 12S eDNA metabarcoding retrieved 85.7% of the fish species caught in the beam trawls, whereas the COI eDNA metabarcoding only identified 31.4% of the epibenthic invertebrate species. Furthermore, the 12S marker resulted in an additional detection of 26 unique fish species, whereas the COI marker detected an additional 90 invertebrate species. Spatial patterns in alpha diversity recovered with eDNA metabarcoding were not significantly different from those observed with morphological determination. Significant differences were found in fish and invertebrate community structures between the coastal, transition and offshore zones as well as on the smaller wind farm scales, which agreed with the morphological beam trawl data. Indicator species found with morphological beam trawl monitoring for each of the three zones (coastal, transition, offshore) were also detected with 12S eDNA metabarcoding, and the latter method detected an additional 31 indicator species. Our findings show the need for adequate quality control of the obtained species lists and reveal that 12S eDNA metabarcoding analyses offers a useful survey tool for the monitoring of fish communities in offshore wind farms, but the used COI assay did not adequately capture the epibenthic communities as observed with beam trawl data.

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用于监测海上风电场对鱼类和无脊椎动物群落结构影响的环境 DNA
为了实现欧盟委员会制定的可再生能源目标,需要将已安装的海上风电场扩大十倍。由于海上风电场的建设可能会影响当地的软沉积动物,因此需要一种高效的监测技术来监测其对海洋生态系统的潜在影响。在此,我们评估了 eDNA 代谢编码是否是在这些难以进入的海洋栖息地监测鱼类和底栖生物生物多样性的合适替代方法。我们在 12 个沿海和 18 个近海地点同时进行了水样采集和拖网调查,后者位于北海比利时部分的两个近海风电场内外。12S eDNA 代谢标示法检索到了 85.7% 的束拖网捕获的鱼类物种,而 COI eDNA 代谢标示法仅鉴定出 31.4% 的底栖无脊椎动物物种。此外,12S 标记还额外发现了 26 个独特的鱼类物种,而 COI 标记则额外发现了 90 个无脊椎动物物种。通过 eDNA 代谢编码发现的阿尔法多样性的空间模式与通过形态测定观察到的差异不大。在沿海区、过渡区和近海区以及较小的风电场范围内,鱼类和无脊椎动物群落结构存在明显差异,这与形态束拖网数据一致。通过形态束拖网监测发现的三个区域(沿岸、过渡和近海)的指示物种也能通过 12S eDNA 代谢编码检测到,后一种方法还能检测到另外 31 个指示物种。我们的研究结果表明,需要对所获得的物种清单进行适当的质量控制,并揭示出 12S eDNA 代谢编码分析为监测近海风电场鱼类群落提供了有用的调查工具,但所使用的 COI 检测方法并不能充分捕获束拖网数据所观察到的底栖动物群落。
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来源期刊
Environmental DNA
Environmental DNA Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
11.00
自引率
0.00%
发文量
99
审稿时长
16 weeks
期刊最新文献
Issue Information Bottom Trawling and Multi-Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary Evaluation of a Nanopore Sequencing Strategy on Bacterial Communities From Marine Sediments Current Trends in Biophysical Modeling of eDNA Dynamics for the Detection of Marine Species Validation of Environmental DNA for Estimating Proportional and Absolute Biomass
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