2021
DOI: 10.1111/ddi.13400
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Diminishing potential for tropical reefs to function as coral diversity strongholds under climate change conditions

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

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Cited by 20 publications
(18 citation statements)
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“…In contrast, GEA mismatches were predicted to be highest in Ningaloo Coast World Heritage Area, indicating mismatches in local adaptive potential of these populations to increasing temperatures, especially under RCP 8.5 conditions in 2090–2100. Ningaloo has been predicted to serve as future stronghold of coral biodiversity under RCP 8.5 climate conditions in 2090–2100 (Adam et al, 2021). However, coral reefs within the Ningaloo Coast World Heritage Area have been impacted over the last decade (Gilmour et al, 2019) with parts of the reef system been damaged in recent years by mass bleaching and cyclones (Depczynski et al, 2013; Gilmour et al, 2019; Moore et al, 2012; Speed et al, 2013), with some reefs showing limited recovery (Babcock et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…In contrast, GEA mismatches were predicted to be highest in Ningaloo Coast World Heritage Area, indicating mismatches in local adaptive potential of these populations to increasing temperatures, especially under RCP 8.5 conditions in 2090–2100. Ningaloo has been predicted to serve as future stronghold of coral biodiversity under RCP 8.5 climate conditions in 2090–2100 (Adam et al, 2021). However, coral reefs within the Ningaloo Coast World Heritage Area have been impacted over the last decade (Gilmour et al, 2019) with parts of the reef system been damaged in recent years by mass bleaching and cyclones (Depczynski et al, 2013; Gilmour et al, 2019; Moore et al, 2012; Speed et al, 2013), with some reefs showing limited recovery (Babcock et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…To produce the species diversity map for macrofungi, we transformed the model output into binary (presence/absence) predictions using the maximum of the sum of specificity (quantifying commission errors) and sensitivity (quantifying omission errors; Max SSS) as a threshold for each species. The Max SSS threshold minimizes the error rate of both commission and omission errors and has been widely used in species distribution models (Adam et al, 2021; Fourcade et al, 2018; Liu et al, 2013; Vincent et al, 2019).…”
Section: Methodsmentioning
confidence: 99%
“…The seasonal temperature regimes at RIMR and JBMP are, therefore, suitable for the more extensive development of coral communities, which may explain the high coral cover at these locations. At the same time, this likely also places these locations at higher risk of tropicalization with coral species predicted to expand their range to mid-and high-latitude regions in response to future climate change [81].…”
Section: Total Coral Covermentioning
confidence: 99%