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运用集合群落模型框架捕捉珊瑚的微观动态。

Capturing fine-scale coral dynamics with a metacommunity modelling framework.

机构信息

Australian Institute of Marine Science, Perth, WA, 6009, Australia.

Oceans Institute, University of Western Australia, Perth, WA, 6009, Australia.

出版信息

Sci Rep. 2024 Oct 21;14(1):24733. doi: 10.1038/s41598-024-73464-y.

DOI:10.1038/s41598-024-73464-y
PMID:39433778
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11494194/
Abstract

Natural systems exhibit high spatial variability across multiple scales. Models that can capture ecosystem dynamics across space and time by explicitly incorporating major biological mechanisms are crucial, both for management and for ecological insight. In the case of coral reef systems, much focus has been on modelling variability between reefs, despite substantial variability also existing within reefs. We developed Cscape, a coral metacommunity modelling framework that integrates the demography of corals with population-level responses to physical and environmental spatial layers, to facilitate spatiotemporal predictions of coral dynamics across reefs at fine (100s of metres to kilometres) scales. We used satellite-derived habitat maps to modulate community growth spatially, as a proxy for the many interacting physical and environmental factors-e.g., depth, light, wave exposure, temperature, and substrate type-that drive within-reef variability in coral demography. With a case study from the Great Barrier Reef, we demonstrate the model's capability for producing hindcasts of coral cover dynamics and show that overlooking within-reef variability may lead to misleading conclusions about metacommunity dynamics. Cscape provides a valuable framework for exploring a range of management and restoration scenarios at relevant spatial scales.

摘要

自然系统在多个尺度上表现出高度的空间变异性。能够通过明确纳入主要生物机制来捕捉跨空间和时间的生态系统动态的模型,对于管理和生态洞察力都是至关重要的。就珊瑚礁系统而言,尽管珊瑚礁内部也存在大量的变异性,但人们的关注焦点主要集中在对珊瑚礁之间的变异性进行建模上。我们开发了 Cscape,这是一个珊瑚集合群落建模框架,它将珊瑚的种群动态与对物理和环境空间层的种群水平响应结合起来,以促进在小尺度(数百米至数公里)上对珊瑚动态进行时空预测。我们使用卫星衍生的栖息地图来调节群落的空间生长,作为驱动珊瑚种群动态的许多相互作用的物理和环境因素(例如深度、光照、波辐射、温度和基质类型)的代理。通过大堡礁的案例研究,我们展示了该模型对珊瑚覆盖动态进行回溯预测的能力,并表明忽略珊瑚礁内部的变异性可能会导致对集合群落动态的误导性结论。Cscape 为在相关空间尺度上探索一系列管理和恢复情景提供了一个有价值的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/720947da0bcb/41598_2024_73464_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/66a3716b0758/41598_2024_73464_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/d85dd27be143/41598_2024_73464_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/592d1688767c/41598_2024_73464_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/dbbb81ba7658/41598_2024_73464_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/720947da0bcb/41598_2024_73464_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/66a3716b0758/41598_2024_73464_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/7c277e994f19/41598_2024_73464_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/8371c4d0fbc8/41598_2024_73464_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/d85dd27be143/41598_2024_73464_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/592d1688767c/41598_2024_73464_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/dbbb81ba7658/41598_2024_73464_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9832/11494194/720947da0bcb/41598_2024_73464_Fig7_HTML.jpg

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