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Bird community shifts associated with saltwater exposure in coastal forests at the leading edge of rising sea level

机译:在海平面上升的前沿,沿海森林中与盐水暴露相关的鸟类群落转移

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摘要

Rising sea levels dramatically alter the vegetation composition and structure of coastal ecosystems. However, the implications of these changes for coastal wildlife are poorly understood. We aimed to quantify responses of avian communities to forest change (i.e., ghost forests) in a low-lying coastal region highly vulnerable to rising sea level. We conducted point counts to sample avian communities at 156 forested points in eastern North Carolina, USA in 2013–2015. We modelled avian community composition using a multi-species hierarchical occupancy model and used metrics of vegetation structure derived from Light Detection and Ranging (LiDAR) data as covariates related to variation in bird responses. We used this model to predict occupancy for each bird species in 2001 (using an analogous 2001 LiDAR dataset) and 2014 and used the change in occupancy probability to estimate habitat losses and gains at 3 spatial extents: 1) the entire study area, 2) burned forests only, and 3) unburned, low-lying coastal forests only. Of the 56 bird species we investigated, we observed parameter estimates corresponding to a higher likelihood of occurring in ghost forest for 34 species, but only 9 of those had 95% posterior intervals that did not overlap 0, thus having strong support. Despite the high vulnerability of forests in the region to sea level rise, habitat losses and gains associated with rising sea level were small relative to those resulting from wildfire. Though the extent of habitat changes associated with the development of ghost forest was limited, these changes likely are more permanent and may compound over time as sea level rises at an increasing rate. As such, the proliferation of ghost forests from rising sea level has potential to become an important driver of forest bird habitat change in coastal regions.
机译:海平面上升极大地改变了沿海生态系统的植被组成和结构。然而,这些变化对沿海野生动植物的影响知之甚少。我们旨在量化鸟类群落对高度脆弱,容易受到海平面上升影响的沿海地区森林变化(即鬼林)的反应。在2013–2015年,我们对美国北卡罗来纳州东部156个森林点的鸟类群落进行了点计数。我们使用多物种分层占用模型对鸟类群落组成进行建模,并使用从光探测与测距(LiDAR)数据得出的植被结构度量作为与鸟类反应变化相关的协变量。我们使用此模型来预测2001年(使用类似的2001 LiDAR数据集)和2014年每种鸟类的占用率,并使用占用率的变化来估计3个空间范围内的栖息地损失和收益:1)整个研究区域,2)仅燃烧森林,以及3)仅未燃烧,低洼的沿海森林。在我们调查的56种鸟类中,我们观察到参数估计值对应于34种物种在幽灵森林中发生的可能性更高,但只有9种具有95%的后间隔且不与0重叠,因此具有强大的支持力。尽管该地区的森林很容易受到海平面上升的影响,但是与野火造成的损失相比,与海平面上升相关的栖息地损失和收益却很小。尽管与幽灵森林的发展相关的栖息地变化程度有限,但这些变化可能会更持久,并且随着时间的推移会随着海平面的上升而加剧。因此,海平面上升引起的幽灵森林的扩散有可能成为沿海地区林鸟栖息地变化的重要驱动力。

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