4.6 Article

Connectivity and systemic resilience of the Great Barrier Reef

期刊

PLOS BIOLOGY
卷 15, 期 11, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pbio.2003355

关键词

-

资金

  1. National Environmental Science Programme (grant 3.1.1 Implementation of the Crown of Thorns research strategy: regional strategies)
  2. ARC Linkage Programme [LP160100730]
  3. Barrier Reef Foundation
  4. Science and Industry Endowment Fund
  5. National Environmental Research Program [9.1]
  6. Australian Research Council [LP160100730] Funding Source: Australian Research Council

向作者/读者索取更多资源

Australia's iconic Great Barrier Reef (GBR) continues to suffer from repeated impacts of cyclones, coral bleaching, and outbreaks of the coral-eating crown-of-thorns starfish (COTS), losing much of its coral cover in the process. This raises the question of the ecosystem's systemic resilience and its ability to rebound after large-scale population loss. Here, we reveal that around 100 reefs of the GBR, or around 3%, have the ideal properties to facilitate recovery of disturbed areas, thereby imparting a level of systemic resilience and aiding its continued recovery. These reefs (1) are highly connected by ocean currents to the wider reef network, (2) have a relatively low risk of exposure to disturbances so that they are likely to provide replenishment when other reefs are depleted, and (3) have an ability to promote recovery of desirable species but are unlikely to either experience or spread COTS outbreaks. The great replenishment potential of these 'robust source reefs', which may supply 47% of the ecosystem in a single dispersal event, emerges from the interaction between oceanographic conditions and geographic location, a process that is likely to be repeated in other reef systems. Such natural resilience of reef systems will become increasingly important as the frequency of disturbances accelerates under climate change.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据