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Coupling eco-evolutionary mechanisms with deep-time environmental dynamics to understand biodiversity patterns
Ecography ( IF 5.4 ) Pub Date : 2022-07-27 , DOI: 10.1111/ecog.06132
Oskar Hagen 1, 2
Affiliation  

Pioneer naturalists such as Whewell, Lyell, Humboldt, Darwin and Wallace acknowledged the interactions between ecological and evolutionary forces, as well as the roles of continental movement, mountain formation and climate variations, in shaping biodiversity patterns. Recent developments in computer modelling and paleo-environmental reconstruction have made it possible for scientists to study in silico how biodiversity emerges from eco-evolutionary and environmental dynamic processes and their interactions. Simulating emergent biodiversity enables the experimentation of multiple interconnected hypotheses in a largely fragmented scientific landscape, with the final objective of successfully approximating natural mechanisms (i.e. hypothetical spatio–temporally unrestricted generalizations that hold across multiple empirical biodiversity patterns). This new interdisciplinary approach opens unprecedented scientific pathways, facilitating the communication and contemplation of causal implications of complex eco-evolutionary and environmental interactions.

中文翻译:

将生态进化机制与深度环境动力学相结合以了解生物多样性模式

惠厄尔、莱尔、洪堡、达尔文和华莱士等先驱博物学家承认生态和进化力量之间的相互作用,以及大陆运动、山脉形成和气候变化在塑造生物多样性模式方面的作用。计算机建模和古环境重建的最新发展使科学家能够在计算机上研究生物多样性如何从生态进化和环境动态过程及其相互作用中产生。模拟涌现的生物多样性能够在很大程度上分散的科学景观中对多个相互关联的假设进行实验,最终目标是成功地近似自然机制(即假设的时空不受限制的概括,适用于多种经验生物多样性模式)。
更新日期:2022-07-27
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