Assessing the probable distribution of the potentially invasive Chinese mystery snail, Cipangopaludina chinensis, in Nova Scotia using a random forest model approach

IF 2.2 3区 环境科学与生态学 Q2 ECOLOGY Aquatic Invasions Pub Date : 2021-01-01 DOI:10.3391/AI.2021.16.1.11
Sarah Elizabeth Kingsbury, Megan Fong, D. Mcalpine, L. Campbell
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引用次数: 3

Abstract

Non-native species that become invasive threaten natural biodiversity and can lead to socioeconomic impacts. Prediction of invasive species distributions is important to prevent further spread and protect vulnerable habitats and species at risk (SAR) from future invasions. The Chinese mystery snail, Cipangopaludina chinensis, native to Eastern Asia, is a non-native, potentially invasive, freshwater snail now widely established across North America, Belgium, and The Netherlands. This species was first reported in Nova Scotia, eastern Canada in 1955, but was not found to be established until the 1990s and now exists at high densities in several urban lakes. Nonetheless, the presence and potential distribution of this species in Nova Scotia remains unknown. Limited resources make it difficult to do a broad survey of freshwater lakes in Nova Scotia, however a species distribution probability model has the potential to direct focus to priority areas. We apply a random forest model in tandem with a combination of water quality, fish community, anthropogenic water use, and geomorphological data to predict C. chinensis habitat in Nova Scotia (NS), Canada. All predicted probabilities of suitable C. chinensisi habitats in Nova Scotia were > 50% and include Cape Breton Island, the Nova Scotia-New Brunswick border, and the Halifax Regional Municipality. Suitable habitats predicted for C. chinensis overlap with many SAR habitats, most notably brook floater mussel, Alasmidonta varicosa, and yellow lampmussel, Lampsila cariosa. Our results indicate that C. chinensis could become widespread throughout NS, appearing first in the aforementioned areas of highest probability. Further research is required to test C. chinensis ecological thresholds in order to improve the accuracy of future species distribution and habitat models, and to determine C. chinensis impacts on native freshwater mussel populations of conservation concern.
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利用随机森林模型评估潜在入侵中国神秘蜗牛Cipangopaludina chinensis在新斯科舍省的可能分布
外来物种成为入侵威胁自然生物多样性,并可能导致社会经济影响。预测入侵物种的分布对于防止入侵物种进一步扩散和保护脆弱生境和濒危物种免受未来入侵具有重要意义。中国神秘蜗牛,Cipangopaludina chinensis,原产于东亚,是一种非本地的、潜在入侵的淡水蜗牛,现在广泛分布在北美、比利时和荷兰。该物种于1955年首次在加拿大东部的新斯科舍省被报道,但直到20世纪90年代才被发现,现在在几个城市湖泊中高密度存在。尽管如此,该物种在新斯科舍省的存在和潜在分布仍然未知。资源有限,很难对新斯科舍省的淡水湖进行广泛的调查,但是物种分布概率模型有可能将重点放在优先区域。本文采用随机森林模型,结合水质、鱼类群落、人为用水和地貌数据,对加拿大新斯科舍省(NS)的中华月子(C. chinensis)生境进行了预测。在新斯科舍省,包括布雷顿角岛、新斯科舍省-新不伦瑞克省边界和哈利法克斯地区,所有预测的适宜栖息地概率均> 50%。中华月牙的适宜生境与许多SAR生境重叠,最显著的是溪浮贻贝(Alasmidonta varicosa)和黄灯贻贝(Lampsila cariosa)。本研究结果表明,中国梧桐有可能在整个NS地区广泛分布,并以最高的概率首先出现在上述地区。为了提高未来物种分布和生境模型的准确性,进一步研究中华月牙对本地淡水贻贝种群的影响,需要进一步研究中华月牙的生态阈值。
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来源期刊
Aquatic Invasions
Aquatic Invasions ECOLOGY-MARINE & FRESHWATER BIOLOGY
CiteScore
4.30
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Aquatic Invasions is an open access, peer-reviewed international journal focusing on academic research of biological invasions in both inland and coastal water ecosystems from around the world. It was established in 2006 as initiative of the International Society of Limnology (SIL) Working Group on Aquatic Invasive Species (WGAIS) with start-up funding from the European Commission Sixth Framework Programme for Research and Technological Development Integrated Project ALARM. Aquatic Invasions is an official journal of International Association for Open Knowledge on Invasive Alien Species (INVASIVESNET). Aquatic Invasions provides a forum for professionals involved in research of aquatic non-native species, including a focus on the following: • Patterns of non-native species dispersal, including range extensions with global change • Trends in new introductions and establishment of non-native species • Population dynamics of non-native species • Ecological and evolutionary impacts of non-native species • Behaviour of invasive and associated native species in invaded areas • Prediction of new invasions • Advances in non-native species identification and taxonomy
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