Department of Evolutionary Biology, Ecology and Environmental Sciences, Institute of Biodiversity Research (IRBio), Faculty of Biology, University of Barcelona, 08028, Barcelona, Spain.
Department of Evolutionary Biology, Ecology and Environmental Sciences, Institute of Biodiversity Research (IRBio), Faculty of Biology, University of Barcelona, 08028, Barcelona, Spain.
Environ Pollut. 2020 Mar;258:113680. doi: 10.1016/j.envpol.2019.113680. Epub 2019 Nov 26.
Pollution by marine litter is raising major concerns due to its potential impact on marine biodiversity and, above all, on endangered mega-fauna species, such as cetaceans and sea turtles. The density and distribution of marine litter and mega-fauna have been traditionally monitored through observer-based methods, yet the advent of new technologies has introduced aerial photography as an alternative monitoring method. However, to integrate results produced by different monitoring techniques and consider the photographic method a viable alternative, this 'new' methodology must be validated. This study aims to compare observations obtained from the concurrent application of observer-based and photographic methods during aerial surveys. To do so, a Partenavia P-68 aircraft equipped with an RGB sensor was used to monitor the waters off the Spanish Mediterranean coast along 12 transects (941 km). Over 10000 images were collected and checked manually by a photo-interpreter to detect potential targets, which were classified as floating marine macro-litter, mega-fauna and seabirds. The two methods allowed the detection of items from the three categories and proved equally effective for the detection of cetaceans, sea turtles and large fish on the sea surface. However, the photographic method was more effective for floating litter detection and the observer-based method was more effective for seabird detection. These results provide the first validation of the use of aerial photography to monitor floating litter and mega-fauna over the marine surface.
海洋垃圾污染因其对海洋生物多样性的潜在影响而引起了人们的高度关注,尤其是对濒危的大型海洋动物物种,如鲸鱼和海龟。海洋垃圾和大型海洋动物的密度和分布传统上是通过基于观测者的方法进行监测的,但新技术的出现已经将航空摄影作为一种替代监测方法。然而,为了整合不同监测技术产生的结果,并考虑将摄影方法作为一种可行的替代方法,这种“新”方法必须经过验证。本研究旨在比较在航空调查中同时应用基于观测者和摄影方法所获得的观察结果。为此,使用配备 RGB 传感器的 Partenavia P-68 飞机在 12 个横截线上(941 公里)监测了西班牙地中海沿岸的水域。收集了超过 10000 张图像,并由一名图片解译员手动检查,以检测潜在的目标,这些目标被归类为漂浮的海洋大型垃圾、大型海洋动物和海鸟。这两种方法都可以检测到这三个类别的物品,并且在检测海面上的鲸鱼、海龟和大型鱼类方面同样有效。然而,摄影方法在漂浮垃圾检测方面更有效,而基于观测者的方法在海鸟检测方面更有效。这些结果提供了首次验证,证明航空摄影可用于监测海洋表面的漂浮垃圾和大型海洋动物。