The Gulf toadfish goes south: assessing the potential habitat suitability of Opsanus beta in response to climate change

Q3 Agricultural and Biological Sciences Acta Scientiarum. Biological Sciences Pub Date : 2023-10-27 DOI:10.4025/actascibiolsci.v45i1.68519
João Henrique Alliprandini da Costa, Ursulla Pereira Souza
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Abstract

Climate change can directly influence invasive species range, and may reflect in greater habitat suitability, consequently increasing losses in native biodiversity. Habitat suitability modelling can help identify priority areas for conservation and rapid response for invasive taxa. This study aimed to model the habitat suitability of Opsanus beta, an invasive fish species, in South America under current and future climate change scenarios. Three modelling techniques, Generalized Linear Model (GLM), Maximum Entropy Algorithm (Maxent), and Random Forest (RF), were applied, and their results were compared and then put together in an Ensemble model to visualize habitat suitability. We found that the current habitat suitability of O. beta in South America is relatively low, with its occurrences mostly related to coastal port areas, suggesting that the species was introduced from ballast water. The increase in mean temperature at mean depth and temperature range were the most relevant variables influencing the species habitat suitability. The gradual increase in habitat suitability for the 2100 climate change scenarios, particularly in more severe climate change scenarios, such as the RCP 8.5, was also observed. The study highlights the critical need to use habitat suitability models to mitigate the impact of future climate change scenarios on invasive species. The findings call for preventive measures to be taken in time to prepare areas that may become the target of dispersal and establishment of O. beta.
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海湾蟾蜍鱼南下:评估 Opsanus beta 适应气候变化的潜在栖息地适宜性
气候变化会直接影响入侵物种的分布范围,并可能导致栖息地适宜性的提高,从而增加本地生物多样性的损失。栖息地适宜性建模有助于确定入侵类群的重点保护区域和快速应对措施。本研究旨在模拟南美洲入侵鱼类物种 Opsanus beta 在当前和未来气候变化情景下的栖息地适宜性。研究采用了三种建模技术,即广义线性模型(GLM)、最大熵算法(Maxent)和随机森林(RF),并比较了它们的结果,然后将其组合成一个集合模型,以直观地显示栖息地适宜性。我们发现,O. beta 目前在南美洲的栖息地适宜性相对较低,其出现主要与沿海港口地区有关,这表明该物种是从压舱水中引入的。平均深度的平均温度升高和温度范围是影响该物种栖息地适宜性的最相关变量。在 2100 年气候变化情景下,尤其是在 RCP 8.5 等更严重的气候变化情景下,栖息地适宜性也逐渐增加。该研究强调,利用栖息地适宜性模型来减轻未来气候变化情景对入侵物种的影响至关重要。研究结果呼吁及时采取预防措施,为可能成为 O. beta 传播和建立目标的地区做好准备。
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来源期刊
Acta Scientiarum. Biological Sciences
Acta Scientiarum. Biological Sciences Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.00
自引率
0.00%
发文量
45
审稿时长
38 weeks
期刊介绍: The journal publishes original articles in all areas of Biological Sciences, including anatomy, bacteriology, molecular biology, biochemistry, botany, cytology and cell biology, animal behavior, ecology, limnology, embryology, and histology, morpho-physiology, genetics, microbiology, parasitology and zoology.
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