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Macroalgae niche modelling: a two-step approach using remote sensing and in situ observations of a native and an invasive Asparagopsis
Biological Invasions ( IF 2.9 ) Pub Date : 2021-05-22 , DOI: 10.1007/s10530-021-02554-z
Enrique Casas , Marc Fernandez , Artur Gil , Chris Yesson , Afonso Prestes , Ignacio Moreu‐Badia , Ana Neto , Manuel Arbelo

We are facing a global loss of biodiversity due to climate change. This will lead to unpredictable changes in ecosystems, affecting the goods and services they provide introduction of non-indigenous marine species. This represents one of the major threats to marine biodiversity and therefore, there is a strong need to assess, map and monitor these alien species. The appearance of non-indigenous species is especially dangerous in fragile ecosystems and it is of great importance to better understand the invasion mechanisms of these invasive species. This is the case for invasive alga Asparagopsis armata, present in the Azores Archipelago. In this study we propose a methodology to define the realized ecological niche of this invasive alga, alongside the native Asparagopsis taxiformis, to understand better its distribution and potential impact on native communities and ecosystem services. These objectives comply with the EU Biodiversity strategy for 2020 goals and the need to map and assess ecosystems and their services. The lack of reliable high-resolution data makes this a challenging task. Within this scope, we propose a combination of Remote Sensing, Unmanned Aerial Vehicle based imagery together with in-situ field data to build ecological niche modelling approaches as a cost-effective methodology to identify and characterize vulnerable marine ecosystems. Our results show that this combination can help achieve monitoring, leading to a better understanding of ecological niches and the consequences of non-indigenous species invasion in fragile ecosystems, like small islands, when faced with limited data.



中文翻译:

大型藻类生态位建模:使用遥感和原生观察和入侵天冬虫的原位观察的两步方法

由于气候变化,我们正面临全球生物多样性的丧失。这将导致生态系统发生不可预测的变化,影响其提供非本地海洋物种引进的商品和服务。这是对海洋生物多样性的主要威胁之一,因此,非常需要评估,测绘和监测这些外来物种。非土著物种的出现在脆弱的生态系统中尤其危险,因此,更好地了解这些入侵物种的入侵机制具有重要意义。亚速尔群岛存在的入侵藻类天冬虫就是这种情况。在这项研究中,我们提出了一种方法来定义这种侵入性藻类的实现的生态位,以及原生的芦笋滑石粉。,以更好地了解其分布以及对本地社区和生态系统服务的潜在影响。这些目标符合欧盟2020年生物多样性战略目标以及对生态系统及其服务进行制图和评估的需要。缺乏可靠的高分辨率数据使其成为一项具有挑战性的任务。在此范围内,我们建议将基于遥感,无人飞行器的影像与现场数据结合起来,以建立生态位建模方法,将其作为一种经济有效的方法来识别和表征脆弱的海洋生态系统。我们的结果表明,这种组合可以帮助实现监测,从而在面对有限数据时,可以更好地了解生态位以及对脆弱生态系统(如小岛)的非本地物种入侵的后果。

更新日期:2021-05-22
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