School of the Environment, The University of Queensland, St. Lucia, Queensland, Australia.
Conflict Islands Conservation Initiative, Alotau, Milne Bay Province, Papua New Guinea.
Glob Chang Biol. 2023 Dec;29(23):6546-6557. doi: 10.1111/gcb.16952. Epub 2023 Oct 5.
Projection models are being increasingly used to manage threatened taxa by estimating their responses to climate change. Sea turtles are particularly susceptible to climate change as they have temperature-dependent sex determination and increased sand temperatures on nesting beaches could result in the 'feminisation' of hatchling sex ratios for some populations. This study modelled likely long-term trends in sand temperatures and hatchling sex ratios at an equatorial nesting site for endangered green turtles (Chelonia mydas) and critically endangered hawksbill turtles (Eretmochelys imbricata). A total of 1078 days of sand temperature data were collected from 28 logger deployments at nest depth between 2018 and 2022 in Papua New Guinea (PNG). Long-term trends in sand temperature were generated from a model using air temperature as an environmental proxy. The influence of rainfall and seasonal variation on sand temperature was also investigated. Between 1960 and 2019, we estimated that sand temperature increased by 0.6°C and the average hatchling sex ratio was relatively balanced (46.2% female, SD = 10.7). No trends were observed in historical rainfall anomalies and projections indicated no further changes to rainfall until 2100. Therefore, the sex ratio models were unlikely to be influenced by changing rainfall patterns. A relatively balanced sex ratio such as this is starkly different to the extremely female-skewed hatchling sex ratio (>99% female) reported for another Coral Sea nesting site, Raine Island (850 km West). This PNG nesting site is likely rare in the global context, as it is less threatened by climate-induced feminisation. Although there is no current need for 'cooling' interventions, the mean projected sex ratios for 2020-2100 were estimated 76%-87% female, so future interventions may be required to increase male production. Our use of long-term sand temperature and rainfall trends has advanced our understanding of climate change impacts on sea turtles.
预测模型正越来越多地被用于通过估计受威胁物种对气候变化的响应来管理受威胁物种。海龟特别容易受到气候变化的影响,因为它们的性别决定与温度有关,筑巢海滩上的沙温升高可能导致某些种群的幼龟性别比例向雌性化方向发展。本研究对濒危绿海龟(Chelonia mydas)和极危玳瑁(Eretmochelys imbricata)在赤道筑巢地的沙温长期趋势和幼龟性别比例进行了建模。在巴布亚新几内亚(PNG),从 2018 年至 2022 年,在巢深 28 处的 28 个记录器部署中收集了总计 1078 天的沙温数据。使用空气温度作为环境代理,从模型中生成了沙温的长期趋势。还研究了降雨量和季节性变化对沙温的影响。在 1960 年至 2019 年期间,我们估计沙温升高了约 0.6°C,平均幼龟性别比例相对平衡(46.2%为雌性,SD=10.7)。历史降雨异常中未观察到趋势,预测表明到 2100 年降雨量不会进一步变化。因此,性别比例模型不太可能受到降雨模式变化的影响。如此相对平衡的性别比例与另一个珊瑚海筑巢地 Raine 岛(西约 850 公里)报告的极度雌性偏向的幼龟性别比例(>99%为雌性)形成鲜明对比。这个 PNG 筑巢地在全球范围内可能很罕见,因为它受到气候引起的雌性化的威胁较小。尽管目前不需要“降温”干预,但估计 2020-2100 年的平均预测性别比例为 76%-87%为雌性,因此未来可能需要采取干预措施来增加雄性产量。我们对长期沙温和降雨趋势的使用提高了我们对气候变化对海龟影响的理解。