Proximity to freshwater and seagrass availability mediate the impacts of climate change on the distribution of the West Indian manatee

Emma Deeks, P. Kratina, I. Normande, Aline da Silva Cerqueira, T. Dawson
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Abstract

How climate change alters persistence and distribution of endangered species is an urgent question in current ecological research. However, many species distribution models do not consider consumers in the context of their resources. The distribution and survival of the West Indian manatee (Trichechus manatus), listed as a Vulnerable species on the IUCN Red List, critically depend on seagrass resources and freshwater sources for drinking. We parameterized Maxent models with Bio-ORACLE environmental layers, freshwater proximity data, and modelled seagrass distance layers, to determine manatee and seagrass distributions under future climate change scenarios. We used two plausible IPCC Representative Concentration Pathways (RCP45 and RCP26, respectively) for the year 2050. The model fits had high accuracies and predicted a marked decline in seagrass coverage (RCP26: -1.9%, RCP45: -6%), coinciding with declines in manatee ranges (RCP26: -9%, RCP45: -11.8%). We also found that over 94% of the projected manatee distribution for all scenarios fell within the seagrass distribution. The analysis showed a decline in seagrass coverage to significantly impact manatee distributions, since the distance to seagrass ecological layer contributed significantly to manatee distributions, along with distance to freshwater sources. Our findings suggest that manatees will lose substantial range due to future climate change, but the extent and direction of this change will be mediated by the degree of warming and its impact on the resources manatees depend on.
接近淡水的程度和海草的可利用性是气候变化对西印度海牛分布影响的媒介
气候变化如何改变濒危物种的生存和分布是当前生态学研究中的一个紧迫问题。然而,许多物种分布模型并没有将消费者与其资源联系起来考虑。西印度海牛(Trichechus manatus)在世界自然保护联盟红色名录中被列为易危物种,其分布和生存严重依赖于海草资源和淡水饮用源。我们利用 Bio-ORACLE 环境层、淡水邻近数据和模拟海草距离层对 Maxent 模型进行了参数化,以确定未来气候变化情景下的海牛和海草分布情况。我们在 2050 年使用了两个可信的 IPCC 代表性浓度路径(分别为 RCP45 和 RCP26)。模型拟合的准确度很高,预测海草覆盖率将显著下降(RCP26:-1.9%,RCP45:-6%),与海牛分布范围的下降相吻合(RCP26:-9%,RCP45:-11.8%)。我们还发现,在所有情景下,超过 94% 的预测海牛分布在海草分布区内。分析表明,海草覆盖率的下降会对海牛的分布产生重大影响,因为与海草生态层的距离以及与淡水水源的距离对海牛的分布有重大影响。我们的研究结果表明,海牛将因未来气候变化而失去大量分布区,但这种变化的程度和方向将取决于气候变暖的程度及其对海牛赖以生存的资源的影响。
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