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Assessing climate change associated sea-level rise impacts on sea turtle nesting beaches using drones, photogrammetry and a novel GPS system

机译:评估气候变化相关海平面上升对使用无人机,摄影测量和新型GPS系统的海龟嵌套海滩的影响

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摘要

Climate change associated sea-level rise (SLR) is expected to have profound impacts on coastal areas, affecting many species, including sea turtles which depend on these habitats for egg incubation. Being able to accurately model beach topography using digital terrain models (DTMs) is therefore crucial to project SLR impacts and develop effective conservation strategies. Traditional survey methods are typically low-cost with low accuracy or high-cost with high accuracy. We present a novel combination of drone-based photogrammetry and a low-cost and portable real-time kinematic (RTK) GPS to create DTMs which are highly accurate (&10 cm error) and visually realistic. This methodology is ideal for surveying coastal sites, can be broadly applied to other species and habitats, and is a relevant tool in supporting the development of Specially Protected Areas. Here, we applied this method as a case-study to project three SLR scenarios (0.48, 0.63 and 1.20 m) and assess the future vulnerability and viability of a key nesting habitat for sympatric loggerhead (Caretta caretta) and green turtle (Chelonia mydas) at a key rookery in the Mediterranean. We combined the DTM with 5 years of nest survey data describing location and clutch depth, to identify (a) regions with highest nest densities, (b) nest elevation by species and beach, and (c) estimated proportion of nests inundated under each SLR scenario. On average, green turtles nested at higher elevations than loggerheads (1.8 m vs. 1.32 m, respectively). However, because green turtles dig deeper nests than loggerheads (0.76 m vs. 0.50 m, respectively), these were at similar risk of inundation. For a SLR of 1.2 m, we estimated a loss of 67.3% for loggerhead turtle nests and 59.1% for green turtle nests. Existing natural and artificial barriers may affect the ability of these nesting habitats to remain suitable for nesting through beach migration.
机译:气候变化相关的海平面上升(SLR)预计对沿海地区的影响深刻,影响了许多物种,包括海龟,这取决于这些栖息地孵化的栖息地。因此,能够准确地模拟使用数字地形模型(DTM)的海滩地形(DTM)对项目SLR的影响至关重要,并开发有效的保护策略。传统的调查方法通常以低精度或高精度低成本,高精度。我们提出了一种新颖的基于无人机的摄影测量和低成本和便携式实时运动(RTK)GPS的组合,以创建高度准确(& 10cm错误)和视觉上逼真的DTM。该方法是测量沿海网站的理想选择,可以广泛应用于其他物种和栖息地,是支持特殊保护区发展的相关工具。在这里,我们将这种方法应用于投影三个单反情景(0.48,0.63和1.20米)的案例研究,并评估一个对称令人筑巢(Caretta Caretta)和绿龟的关键嵌套栖息地的未来脆弱性和可行性(Chelonia Mydas)在地中海的一个关键的rookery。我们将DTM与5年的巢测量数据组合描述了位置和离合器深度,以识别(a)具有最高巢密度的区域,(b)通过物种和海滩筑巢海景,(c)估计在每个SLR下淹没的巢穴比例设想。平均而言,绿色乌龟嵌套在较高的海拔高度,而不是Loggerheads(分别为1.8米与1.32米)。然而,由于绿色乌龟挖掘更深的巢而不是令人噪声(分别为0.76米与0.50米),因此这些是相似的淹没风险。对于1.2米的单反SLR,我们估计Loggerhead Turtle Nests的损失为67.3%,绿龟巢的59.1%。现有的自然和人工障碍可能会影响这些嵌套栖息地保持适合嵌入海滩迁移的能力。

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