Ofori Benjamin Y, Stow Adam J, Baumgartner John B, Beaumont Linda J
Department of Biological Sciences, Macquarie University, North Ryde, Macquarie Park, NSW, Australia.
Department Animal Biology and Conservation Science, University of Ghana, Legon-Accra, Ghana.
PLoS One. 2017 Sep 5;12(9):e0184193. doi: 10.1371/journal.pone.0184193. eCollection 2017.
The ability of species to track their climate niche is dependent on their dispersal potential and the connectivity of the landscape matrix linking current and future suitable habitat. However, studies modeling climate-driven range shifts rarely address the movement of species across landscapes realistically, often assuming "unlimited" or "no" dispersal. Here, we incorporate dispersal rate and landscape connectivity with a species distribution model (Maxent) to assess the extent to which the Cunningham's skink (Egernia cunninghami) may be capable of tracking spatial shifts in suitable habitat as climate changes. Our model was projected onto four contrasting, but equally plausible, scenarios describing futures that are (relative to now) hot/wet, warm/dry, hot/with similar precipitation and warm/wet, at six time horizons with decadal intervals (2020-2070) and at two spatial resolutions: 1 km and 250 m. The size of suitable habitat was projected to decline 23-63% at 1 km and 26-64% at 250 m, by 2070. Combining Maxent output with the dispersal rate of the species and connectivity of the intervening landscape matrix showed that most current populations in regions projected to become unsuitable in the medium to long term, will be unable to shift the distance necessary to reach suitable habitat. In particular, numerous populations currently inhabiting the trailing edge of the species' range are highly unlikely to be able to disperse fast enough to track climate change. Unless these populations are capable of adaptation they are likely to be extirpated. We note, however, that the core of the species distribution remains suitable across the broad spectrum of climate scenarios considered. Our findings highlight challenges faced by philopatric species and the importance of adaptation for the persistence of peripheral populations under climate change.
物种追踪其气候生态位的能力取决于它们的扩散潜力以及连接当前和未来适宜栖息地的景观基质的连通性。然而,模拟气候驱动的范围变化的研究很少能实际地考虑物种在景观中的移动情况,通常假设“无限”或“无”扩散。在此,我们将扩散速率和景观连通性纳入物种分布模型(最大熵模型),以评估随着气候变化,坎宁安石龙子(Egernia cunninghami)追踪适宜栖息地空间变化的能力。我们的模型被应用于四种不同但同样合理的情景,这些情景描述了相对于现在的未来状况:热/湿、暖/干、热/降水相似以及暖/湿,时间跨度为六个十年间隔(2020 - 2070年),空间分辨率为两种:1公里和250米。到2070年,适宜栖息地的面积预计在1公里分辨率下减少23 - 63%,在250米分辨率下减少26 - 64%。将最大熵模型的输出结果与物种的扩散速率以及中间景观基质的连通性相结合表明,在中长期预计变得不适宜的地区,大多数当前种群将无法移动到足够的距离以到达适宜栖息地。特别是,目前栖息在该物种分布范围后缘的众多种群极不可能以足够快的速度扩散以追踪气候变化。除非这些种群能够适应,否则它们很可能灭绝。然而,我们注意到,在所考虑的广泛气候情景中,该物种分布的核心区域仍然适宜。我们的研究结果凸显了恋巢性物种面临的挑战,以及适应对于气候变化下边缘种群存续的重要性。