Coro Gianpaolo, Bove Pasquale, Ellenbroek Anton
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - CNR, Pisa, Italy.
Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Rome, Italy.
Ecol Inform. 2022 Jul;69:101675. doi: 10.1016/j.ecoinf.2022.101675. Epub 2022 May 21.
The COVID-19 pandemic has led to reduced anthropogenic pressure on ecosystems in several world areas, but resulting ecosystem responses in these areas have not been investigated. This paper presents an approach to make quick assessments of potential habitat changes in 2020 of eight marine species of commercial importance in the Adriatic Sea. Measurements from floating probes are interpolated through an advection-equation based model. The resulting distributions are then combined with species observations through an ecological niche model to estimate habitat distributions in the past years (2015-2018) at 0.1° spatial resolution. Habitat patterns over 2019 and 2020 are then extracted and explained in terms of specific environmental parameter changes. These changes are finally assessed for their potential dependency on climate change patterns and anthropogenic pressure change due to the pandemic. Our results demonstrate that the combined effect of climate change and the pandemic could have heterogeneous effects on habitat distributions: three species (, , and ) did not show significant niche distribution change; habitat suitability positively changed for , but negatively for , due to increased temperature and decreasing dissolved oxygen (in the Adriatic) generally correlated with climate change; the combination of these trends with an average decrease in chlorophyll, probably due to the pandemic, extended the habitat distributions of and but reduced distribution. Although our results are based on approximated data and reliable at a macroscopic level, we present a very early insight of modifications that will possibly be observed years after the end of the pandemic when complete data will be available. Our approach is entirely based on Findable, Accessible, Interoperable, and Reusable (FAIR) data and is general enough to be used for other species and areas.
新冠疫情导致世界上一些地区对生态系统的人为压力减轻,但这些地区生态系统的相应反应尚未得到研究。本文提出了一种方法,用于快速评估2020年亚得里亚海8种具有商业重要性的海洋物种潜在栖息地的变化。通过基于平流方程的模型对浮动探头的测量数据进行插值。然后,将所得分布通过生态位模型与物种观测数据相结合,以估计过去几年(2015 - 2018年)0.1°空间分辨率下的栖息地分布。接着提取2019年和2020年的栖息地模式,并根据特定环境参数变化进行解释。最后评估这些变化对气候变化模式和疫情导致的人为压力变化的潜在依赖性。我们的结果表明,气候变化和疫情的综合影响可能对栖息地分布产生异质性影响:三种物种(、和)未显示出显著的生态位分布变化;由于温度升高和溶解氧减少(在亚得里亚海),这通常与气候变化相关,的栖息地适宜性呈正向变化,而的呈负向变化;这些趋势与叶绿素平均下降(可能由于疫情)相结合,扩大了和的栖息地分布,但减少了的分布。尽管我们的结果基于近似数据且在宏观层面可靠,但我们提供了一个非常早期的见解,即疫情结束多年后,当完整数据可用时可能会观察到的变化。我们的方法完全基于可查找、可访问、可互操作和可重用(FAIR)的数据,并且具有足够的通用性,可用于其他物种和地区。