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| Main Authors: | , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Ying yong sheng tai xue bao = The journal of applied ecology
2024
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/39435802/ |
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Table of Contents:
- Application of species distribution models in predicting the distribution of marine macrobenthos. Cong, Jia-Yi Li, Xin-Zheng Xu, Yong Animals Biodiversity Models, Theoretical Ecosystem Oceans and Seas Aquatic Organisms Climate Change Invertebrates Conservation of Natural Resources Animal Distribution Species distribution models (SDMs) are valuable tools in predicting species distribution ranges and the suitable habitats, which are based on environmental conditions and species distribution data. These models encompass correlative models, mechanistic models, and mechanistic-correlative models. In the field of marine science, SDMs have been extensively used for predicting the spatial distribution patterns of various marine organisms including fish, mammals, algae, . However, the application of SDMs in predicting the distribution of macrobenthos remains scarce. Understanding the distribution of macrobenthos, the integral components of marine ecosystems, has significant implications for ecological conservation and resource management. We reviewed common methodologies employed in SDMs and presented case studies using different models to predict the distribution patterns of marine macrobenthos. Further, we emphasized the use of correlative and mechanistic models to analyze the impact of climate change on the spatial distribution of marine macrobenthos. Finally, we discussed the challenges and prospects associated with SDMs. With the advances in remote sensing technology and modeling techniques, SDMs are becoming increasingly pivotal in marine ecological research, which could offer a robust scientific foundation for addressing climate change and preserving marine biodiversity.