Zhen Li

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
International Journal of Molecular Ecology and Conservation, 2024, Vol. 14, No. 6   
Received: 01 Oct., 2024    Accepted: 11 Nov., 2024    Published: 05 Dec., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study summarizes the current status of crustacean biogeography research and explores the integration of big data resources (such as modern and historical distribution records, paleoclimate and paleoecological data, and molecular systematics information) and their application in spatial modeling and evolutionary biogeography research. The study found that historical climate change, sea level change, and continental drift significantly affected the global distribution pattern, community succession, and population dynamics of crustaceans; crustaceans in freshwater, marine, and island environments showed specific response mechanisms. At the same time, this study also pointed out the challenges of data sparsity, time scale asymmetry, data bias, and uncertainty assessment of multi-data fusion in current research. In the future, cross-disciplinary and multi-scale data integration and model optimization should be strengthened to more accurately predict the response of crustaceans to future environmental changes. This study emphasizes that the widespread application of big data has promoted biogeographic research from static to dynamic, from local to global perspectives, and deeply revealed the ecological adaptation and evolution mechanism of crustaceans, providing an important theoretical basis for biodiversity conservation and ecosystem management.

Crustaceans; Big data; Biogeography; Historical environmental change; Ecological response