Institute for Resources, Environment and Sustainability, University of British Columbia, Vancouver, British Columbia, Canada.
Department of Geography, University of British Columbia, Vancouver, British Columbia, Canada.
PLoS One. 2023 Feb 13;18(2):e0281719. doi: 10.1371/journal.pone.0281719. eCollection 2023.
The recurrence of mass coral bleaching and associated coral mortality in the past few decades have raised questions about the future of coral reef ecosystems. Although coral bleaching is well studied, our understanding of the spatial extent of bleaching events continues to be limited by geographical biases in data collection. To address this gap, we updated a previous observational database and spatially modelled the probability of past bleaching occurrence. First, an existing raw observational database was updated to cover the 1963-2017 period using searches of the academic and grey literature and outreach to coral reef monitoring organizations. Then, in order to provide spatially-explicit global coverage, we employed indicator kriging to spatially model the probability of bleaching occurrence each year from 1985 through 2017 at 0.05° x 0.05° lat-long resolution. The updated raw database has 37,774 observations, including 22,650 positive bleaching reports, three times that in the previous version. The spatial interpolation suggests that 71% of the world's coral reefs likely (>66% probability) experienced bleaching at least once during the 1985 and 2017 period. The mean probability of bleaching across all reefs globally was 29-45% in the most severe bleaching years of 1998, 2005, 2010 and 2016. Modelled bleaching probabilities were positively related with annual maximum Degree Heating Weeks (DHW), a measure of thermal stress, across all years (p<0.001), and in each global bleaching event (p<0.01). In addition, the annual maximum DHW of reef cells that very likely (>90% probability) experienced bleaching increased over time at three times the rate of all reef cells, suggesting a possible increase in reef thermal tolerance. The raw and spatially interpolated databases can be used by other researchers to enhance real-time predictions, calibrate models for future projections, and assess the change in coral reef response to thermal stress over time.
在过去几十年中,大规模珊瑚白化和相关的珊瑚死亡事件屡屡发生,这引发了人们对珊瑚礁生态系统未来的担忧。尽管珊瑚白化现象已经得到了广泛研究,但由于数据收集的地理偏差,我们对白化事件的空间范围的了解仍然有限。为了解决这一差距,我们更新了一个以前的观测数据库,并对过去白化事件发生的概率进行了空间建模。首先,我们使用学术和灰色文献搜索以及向珊瑚礁监测组织外展,更新了一个现有的原始观测数据库,以涵盖 1963 年至 2017 年的时间。然后,为了提供具有空间明确性的全球覆盖范围,我们采用指示克里金法(indicator kriging),在 0.05°x0.05°的经纬度分辨率下,对 1985 年至 2017 年每年的白化事件发生概率进行空间建模。更新后的原始数据库有 37774 条观测记录,其中包括 22650 次阳性白化报告,是上一版本的三倍。空间插值表明,在 1985 年至 2017 年期间,世界上 71%的珊瑚礁(概率大于 66%)可能至少经历过一次白化。在 1998 年、2005 年、2010 年和 2016 年这些最严重的白化年份,全球所有珊瑚礁的白化概率平均为 29-45%。在所有年份(p<0.001)和每一次全球白化事件中(p<0.01),白化概率与年度最大加热周数(DHW)呈正相关,DHW 是衡量热应激的一个指标。此外,在三个珊瑚礁细胞中,很可能(概率大于 90%)经历过白化的年度最大 DHW 以所有珊瑚礁细胞的三倍速率增加,这表明珊瑚礁对热应激的耐受能力可能有所提高。原始和空间插值数据库可供其他研究人员用于增强实时预测、校准未来预测模型以及评估珊瑚礁对热应激的响应随时间的变化。