测试气候变化对蝙蝠影响的模型预测的一致性

Natasha E. McGowan , Niamh Roche , Tina Aughney , Jason Flanagan , Paul Nolan , Ferdia Marnell , Neil Reid
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引用次数: 3

摘要

物种分布模型(SDMs)是气候变化保护研究的基石,但对未来气候情景的时间外推要到本世纪末才能得到验证。评估预测稳健性的一种方法是比较它们在不同建模方法之间的一致性,将更多的信心放在一致而不是不一致的预测上,特别是如果它们与最近的人口轨迹一致。我们比较了预测的气候变化对9种蝙蝠在欧洲范围内的影响(使用SDMs)和它们在爱尔兰作为重点研究区域的活动(使用glmm)。预计在整个21世纪,5个物种(leisleri、nathusii、pipistrelus、pygmaeus和p.a uritus)的分布范围将保持稳定,预计活动的增加与最近观测到的种群增长一致。在整个21世纪,M. daubentonii和R. hipposideros也可能在欧洲有稳定的分布范围,但模型预测气候变化对爱尔兰的活动有负面影响,这与M. daubentonii种群稳定的趋势和R. hipposideros近几十年来的增长趋势形成了对比。在高温室气体排放情景下,预计到21世纪末,M. nattereri将保持其活动范围,而M. mystacinus的活动范围将缩小。我们认为比较使用不同参数(例如范围与活动)的气候变化影响模型的预测轨迹是有用的。在制定未来的气候变化保护政策时,我们的预测应该为政府和保护组织提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing consistency of modelled predictions of the impact of climate change on bats

Species Distribution Models (SDMs) are a cornerstone of climate change conservation research but temporal extrapolations into future climate scenarios cannot be verified until later this century. One way of assessing the robustness of projections is to compare their consistency between different modelling approaches, placing more confidence on consistent rather than inconsistent predictions, especially if they are consistent with recent population trajectories. We compared predicted climate change impacts on nine bat species throughout their European ranges (using SDMs) and their activity (using GLMMs) within Ireland as a focal study region. Five species (N. leisleri, P. nathusii, P. pipistrellus, P. pygmaeus and P. auritus) were predicted to have stable ranges throughout the 21st century with projected increases in activity consistent with recently observed population increases. M. daubentonii and R. hipposideros are also likely to have stable European ranges throughout the 21st century but models predicted a negative impact of climate change on activity in Ireland, contrasting with a stable population trend in M. daubentonii and an increasing trend in R. hipposideros over recent decades. M. nattereri was predicted to maintain its range extent while M. mystacinus was predicted to undergo range contraction by the end of the 21st century under a high greenhouse gas emissions scenario. We propose there is utility in comparing predicted trajectories from climate change impact models using different parameters (e.g. range versus activity). Our predictions should inform government and conservation organisations when creating future climate change conservation policy.

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