Maidment Susannah, Butler Richard J
Natural History Museum, London, UK.
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, England, UK.
Biol Lett. 2025 Apr;21(4):20250045. doi: 10.1098/rsbl.2025.0045. Epub 2025 Apr 30.
Two hundred years after the naming of the first dinosaur, taxonomic studies remain an important component of dinosaur research. Around 50 new dinosaurs are named each year and are discovered from across the globe. The rate of new dinosaur discovery shows no signs of slowing, but not all geographical areas and temporal windows have been equally investigated. The potential for new dinosaur discoveries in India and Africa seems particularly high, while the Carnian, when dinosaurs probably originated, and the Middle Jurassic, when the major clades diversified, offer the best opportunities to make discoveries that will fundamentally change our understanding of dinosaur evolution. A major challenge to the discovery of new dinosaurs is funding. Frontier fieldwork is sometimes viewed as too risky to fund, while basic taxonomic work is considered to lack impact. As a consequence, we risk an 'extinction of experience', where researchers have limited training in the basic field- and specimen-based research that underpins our discipline. Going forward, new remote sensing techniques may help to find prospective areas, while three-dimensional scanning apps on smartphones will allow us to quickly record field data. Artificial intelligence is likely to be used increasingly for computed tomography segmentation and identification of problematic fossils.
在第一种恐龙被命名两百年后,分类学研究仍然是恐龙研究的重要组成部分。每年大约有50种新恐龙被命名,并且在全球各地被发现。新恐龙的发现速度没有放缓的迹象,但并非所有地理区域和时间窗口都得到了同等程度的研究。印度和非洲发现新恐龙的潜力似乎特别高,而恐龙可能起源的卡尼期以及主要类群多样化的中侏罗世,提供了做出将从根本上改变我们对恐龙进化理解的发现的最佳机会。发现新恐龙的一个主要挑战是资金。前沿野外工作有时被认为风险太大而无法获得资金支持,而基础分类学工作则被认为缺乏影响力。因此,我们面临着“经验灭绝”的风险,即研究人员在支撑我们这一学科的基于野外和标本的基础研究方面接受的培训有限。展望未来,新的遥感技术可能有助于找到潜在区域,而智能手机上的三维扫描应用程序将使我们能够快速记录野外数据。人工智能可能会越来越多地用于计算机断层扫描分割和有问题化石的识别。