通过基于代理的建模模拟,对印度恐龙的捕食者和猎物动态进行初步研究

B. Sai Shankar
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摘要

计算机模拟技术的进步促进了对已灭绝动物的古生物学和古生态学的了解,即使是在古生物学证据有限的情况下。Rajasaurus narmadensis(Wilson)和Isisaurus colberti(Jain & Bandyopadhyay)这两种恐龙在印度上白垩统Lameta地层的马斯特里赫特晚期占主导地位,而人们对它们的古生物学知之甚少。本研究利用基于代理的建模模拟(ABMs)程序 Netlogo,在三种不同的捕食猎物比例(PPR)情况下对代理进行建模,并对结果进行分析,从而初步了解了这两种恐龙的捕食猎物动态。结果表明,高捕食猎物比率的方案能提供最大的捕食成功率、更快和更高的捕杀数量以及总体捕食效率,与现存捕食者/兼性食腐动物类似。为了更好地了解这些恐龙的古生态,有必要在模拟模型中加入更多的关键因素,以开展进一步的研究。
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Preliminary investigations into the predator prey dynamics of Indian dinosaurs by agent-based modelling simulations
Advancements in computer simulations have facilitated the understanding of paleobiology and paleoecology of extinct animals even in cases of limited paleontological evidence. Two dinosaur species, Rajasaurus narmadensis(Wilson), and Isisaurus colberti (Jain & Bandyopadhyay) dominated the late Maastrichtian stage of upper Cretaceous Lameta formation in India, whose paleobiology is poorly understood. A preliminary approach to understand the predator prey dynamics of these two dinosaur species is presented in this study using Agent Based Modelling Simulations (ABMs) program Netlogo by modelling the agents under three scenarios of varying predator prey ratio (PPR) and analyzing the results. The results revealed that the scenario with the high PPR provided maximal predation success, faster and higher kill numbers and overall predation efficiency, similar to extant predators/ facultative scavengers. Further research including additional key factors in the simulation models are necessary for a better understanding of the paleoecology of these dinosaurs.
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