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珊瑚礁中长期社区动态的模拟——扰动如何塑造轨迹。

Simulations of long-term community dynamics in coral reefs--how perturbations shape trajectories.

机构信息

Leibniz Center for Tropical Marine Ecology, Bremen, Germany.

出版信息

PLoS Comput Biol. 2012;8(11):e1002791. doi: 10.1371/journal.pcbi.1002791. Epub 2012 Nov 29.

DOI:10.1371/journal.pcbi.1002791
PMID:23209397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3510096/
Abstract

Tropical coral reefs feature extraordinary biodiversity and high productivity rates in oligotrophic waters. Due to increasing frequencies of perturbations--anthropogenic and natural--many reefs are under threat. Such perturbations often have devastating effects on these unique ecosystems and especially if they occur simultaneously and amplify each other's impact, they might trigger a phase shift and create irreversible conditions.We developed a generic, spatially explicit, individual-based model in which competition drives the dynamics of a virtual benthic reef community--comprised of scleractinian corals and algae--under different environmental settings. Higher system properties, like population dynamics or community composition arise through self-organization as emergent properties. The model was parameterized for a typical coral reef site at Zanzibar, Tanzania and features coral bleaching and physical disturbance regimes as major sources of perturbations. Our results show that various types and modes (intensities and frequencies) of perturbations create diverse outcomes and that the switch from high diversity to single species dominance can be evoked by small changes in a key parameter. Here we extend the understanding of coral reef resilience and the identification of key processes, drivers and respective thresholds, responsible for changes in local situations. One future goal is to provide a tool which may aid decision making processes in management of coral reefs.

摘要

热带珊瑚礁在贫营养水中具有非凡的生物多样性和高生产力。由于人为和自然干扰的频率不断增加,许多珊瑚礁正面临威胁。这些干扰通常对这些独特的生态系统造成破坏性影响,特别是如果它们同时发生并放大彼此的影响,它们可能引发相位转变并造成不可逆转的条件。我们开发了一种通用的、空间显式的、基于个体的模型,在不同的环境设置下,竞争驱动着虚拟底栖珊瑚礁群落(包括珊瑚和藻类)的动态。更高的系统属性,如种群动态或群落组成,是通过自组织作为涌现属性产生的。该模型针对坦桑尼亚桑给巴尔的一个典型珊瑚礁地点进行了参数化,并以珊瑚白化和物理干扰为主要干扰源。我们的结果表明,各种类型和模式(强度和频率)的干扰会产生不同的结果,而关键参数的微小变化可能会引发从高多样性到单一物种优势的转变。在这里,我们扩展了对珊瑚礁恢复力的理解,并确定了关键过程、驱动因素及其各自的阈值,这些过程、驱动因素及其各自的阈值是导致局部情况变化的原因。未来的一个目标是提供一个工具,帮助珊瑚礁管理中的决策过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/7dec54240aed/pcbi.1002791.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/99709d2f0c4a/pcbi.1002791.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/1a02f1d434f3/pcbi.1002791.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/4b78f6bfb186/pcbi.1002791.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/9a927eeee9fa/pcbi.1002791.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/ef29ea6cbcdb/pcbi.1002791.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/7dec54240aed/pcbi.1002791.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/99709d2f0c4a/pcbi.1002791.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/1a02f1d434f3/pcbi.1002791.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/4b78f6bfb186/pcbi.1002791.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/9a927eeee9fa/pcbi.1002791.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/ef29ea6cbcdb/pcbi.1002791.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8a3/3510096/7dec54240aed/pcbi.1002791.g006.jpg

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本文引用的文献

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