Donner Simon D, Rickbeil Gregory J M, Heron Scott F
Department of Geography, University of British Columbia, Vancouver, British Columbia, Canada.
Integrated Remote Sensing Studio, Faculty of Forestry, University of British Columbia, Vancouver, British Columbia, Canada.
PLoS One. 2017 Apr 26;12(4):e0175490. doi: 10.1371/journal.pone.0175490. eCollection 2017.
Episodes of mass coral bleaching have been reported in recent decades and have raised concerns about the future of coral reefs on a warming planet. Despite the efforts to enhance and coordinate coral reef monitoring within and across countries, our knowledge of the geographic extent of mass coral bleaching over the past few decades is incomplete. Existing databases, like ReefBase, are limited by the voluntary nature of contributions, geographical biases in data collection, and the variations in the spatial scale of bleaching reports. In this study, we have developed the first-ever gridded, global-scale historical coral bleaching database. First, we conducted a targeted search for bleaching reports not included in ReefBase by personally contacting scientists and divers conducting monitoring in under-reported locations and by extracting data from the literature. This search increased the number of observed bleaching reports by 79%, from 4146 to 7429. Second, we employed spatial interpolation techniques to develop annual 0.04° × 0.04° latitude-longitude global maps of the probability that bleaching occurred for 1985 through 2010. Initial results indicate that the area of coral reefs with a more likely than not (>50%) or likely (>66%) probability of bleaching was eight times higher in the second half of the assessed time period, after the 1997/1998 El Niño. The results also indicate that annual maximum Degree Heating Weeks, a measure of thermal stress, for coral reefs with a high probability of bleaching increased over time. The database will help the scientific community more accurately assess the change in the frequency of mass coral bleaching events, validate methods of predicting mass coral bleaching, and test whether coral reefs are adjusting to rising ocean temperatures.
近几十年来,大规模珊瑚白化事件屡有报道,这引发了人们对变暖星球上珊瑚礁未来的担忧。尽管各国都在努力加强和协调珊瑚礁监测工作,但我们对过去几十年大规模珊瑚白化的地理范围的了解并不完整。现有的数据库,如ReefBase,受到数据贡献的自愿性质、数据收集的地理偏差以及白化报告空间尺度变化的限制。在本研究中,我们开发了首个全球尺度的网格化历史珊瑚白化数据库。首先,我们通过亲自联系在报告不足地区进行监测的科学家和潜水员,并从文献中提取数据,有针对性地搜索ReefBase中未包含的白化报告。这一搜索使观测到的白化报告数量增加了79%,从4146份增至7429份。其次,我们运用空间插值技术,绘制了1985年至2010年每年0.04°×0.04°经纬度的全球白化发生概率图。初步结果表明,在1997/1998年厄尔尼诺事件之后的评估时间段后半期,白化可能性大于或等于50%或大于或等于66%的珊瑚礁面积增加了八倍。结果还表明,作为热应力衡量指标的年度最大热应力周数,对于高白化概率的珊瑚礁而言,随时间推移有所增加。该数据库将有助于科学界更准确地评估大规模珊瑚白化事件频率的变化,验证预测大规模珊瑚白化的方法,并检验珊瑚礁是否正在适应海洋温度上升。