This is EPIC: Extensive Periphery for Impact and Control to study seabird habitat loss in and around offshore wind farms combining a peripheral control area and Bayesian statistics

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2024-12-25 DOI:10.1016/j.ecoinf.2024.102981
Anne Grundlehner , Mardik F. Leopold , Anna Kersten
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Abstract

With the rapidly increasing intensity of human activities in the marine realm, it has become urgent to better understand the impacts of human-induced disturbances on marine species. Marine mammals and birds are often observed to alter their fine-scale spatial distribution patterns in the presence of human at-sea activities, such as ship traffic and offshore wind farms (OWFs). This study presents EPIC (Extensive Periphery for Impact and Control), a novel approach for investigating such displacement in marine megafauna. The approach consists of a survey design that uses the OWFs surroundings in all directions as control space, complemented by a sophisticated statistical approach to quantify the extent and intensity of displacement and habitat loss in and around the area of potential disturbance. The approach is showcased by investigating the effects of an OWF in the Dutch North Sea on the habitat use of razorbills (Alca torda) and common guillemots (Uria aalge), two seabird species that occur in large numbers across the North Sea. We used an explicit spatial-temporal Bayesian model to predict their spatial distribution patterns based on eight aerial surveysed. The model output is used for a simulation study, comparing bird densities in the potential impact area with 1000 similarly sized control areas from the peripheral control space and from these, displacement around the OWF. Strong displacement was found for both razorbills and guillemots, within the OWF footprint but also in its surroundings. Razorbill and guillemot densities inside the OWF were reduced by 0.953 and 1.604 individuals per km2, respectively, compared to the remainder of the study area, remaining considerably lower than control densities up to 2 km and > 10 km distance. The presented methodological approach holds great potential for future studies on the effects of local disturbances on displacement of marine megafauna.

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这是EPIC:影响和控制的广泛外围,研究海上风电场及其周围海鸟栖息地的丧失,结合外围控制区和贝叶斯统计
随着人类在海洋领域活动强度的迅速增加,更好地了解人为干扰对海洋物种的影响已成为迫切需要。海洋哺乳动物和鸟类经常被观察到在人类海上活动(如船舶交通和海上风力发电场)存在的情况下改变其精细尺度的空间分布模式。本研究提出了一种研究海洋巨型动物这种位移的新方法EPIC (Extensive Periphery for Impact and Control)。该方法包括一项调查设计,该设计使用所有方向的owf环境作为控制空间,并辅以复杂的统计方法,以量化潜在干扰区域及其周围的流离失所和栖息地丧失的程度和强度。该方法通过调查荷兰北海的OWF对刮嘴鸟(Alca torda)和海鸠(Uria aalge)栖息地使用的影响来展示,这两种海鸟在北海大量出现。基于8个航测数据,采用显式时空贝叶斯模型预测其空间分布格局。模型输出用于模拟研究,将潜在影响区域的鸟类密度与来自外围控制空间的1000个类似大小的控制区域进行比较,并从中计算OWF周围的位移。在OWF足迹范围内以及其周围环境中,剃刀鸟和海鸠都发现了强烈的位移。与其他研究区相比,野生动物保护区内的褐嘴鹬和海鸠密度分别减少了0.953和1.604只/ km2,在2 km和2 gt范围内仍显著低于对照密度;距离10公里。所提出的方法对未来研究局部扰动对海洋巨型动物迁移的影响具有很大的潜力。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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