Wyver Chris, Potts Simon G, Edwards Mike, Edwards Rowan, Senapathi Deepa
Centre for Agri-Environmental Research, School of Agriculture, Policy and Development University of Reading Reading UK.
Bees, Wasps and Ants Recording Society, Leaside, Carron Lane West Sussex UK.
Ecol Evol. 2023 Nov 16;13(11):e10705. doi: 10.1002/ece3.10705. eCollection 2023 Nov.
Climate plays a major role in determining where species occur, and when they are active throughout the year. In the face of a changing climate, many species are shifting their ranges poleward. Many species are also shifting their emergence phenology. Wild bees in Great Britain are susceptible to changes in climatic conditions but little is known about historic or potential future spatio-temporal trends of many species. This study utilized a sliding window approach to assess the impacts of climate on bee emergence dates, estimating the best temperature window for predicting emergence dates for 88 species of wild bees. Using a 'middle-of-the-road' (RCP 4.5) and 'worst-case' (RCP 8.5) climate scenario for the period 2070-2079, predictions of future emergence dates were made. In general, the best predicting climate window occurred in the 0-3 months preceding emergence. Across the 40 species that showed a shift in emergence dates in response to a climate window, the mean advance was 13.4 days under RCP 4.5 and 24.9 days under RCP 8.5. Species distribution models (SDMs) were used to predict suitable climate envelopes under historic (1980-1989), current (2010-2019) and future (2070-2079 under RCP 4.5 and RCP 8.5 scenarios) climate conditions. These models predict that the climate envelope for 92% of studied species has increased since the 1980s, and for 97% and 93% of species under RCP 4.5 and RCP 8.5 respectively, this is predicted to continue, due to extension of the northern range boundary. While any range changes will be moderated by habitat availability, it highlights that Great Britain will likely experience northward shifts of bee populations in the future. By combining spatial and temporal trends, this work provides an important step towards informing conservation measures suitable for future climates, directing how interventions can be provided in the right place at the right time.
气候在决定物种的分布地点以及它们全年的活跃时间方面起着主要作用。面对气候变化,许多物种正在向极地转移其分布范围。许多物种的出现物候也在发生变化。英国的野生蜜蜂易受气候条件变化的影响,但对于许多物种的历史或潜在未来时空趋势知之甚少。本研究采用滑动窗口方法评估气候对蜜蜂出现日期的影响,估计了预测88种野生蜜蜂出现日期的最佳温度窗口。利用2070 - 2079年期间的“中间道路”(代表性浓度路径4.5)和“最坏情况”(代表性浓度路径8.5)气候情景,对未来出现日期进行了预测。一般来说,最佳预测气候窗口出现在出现前的0 - 3个月。在因气候窗口而出现日期发生变化的40个物种中,在代表性浓度路径4.5下平均提前13.4天,在代表性浓度路径8.5下平均提前24.9天。物种分布模型(SDMs)被用于预测历史(1980 - 1989年)、当前(2010 - 2019年)和未来(代表性浓度路径4.5和代表性浓度路径8.5情景下的2070 - 2079年)气候条件下的适宜气候包络。这些模型预测,自20世纪80年代以来,92%的研究物种的气候包络有所增加,在代表性浓度路径4.5和代表性浓度路径8.5下,分别有97%和93%的物种预计会继续增加,这是由于北部分布边界的扩展。虽然任何分布范围的变化都会受到栖息地可用性的影响,但这凸显出英国未来可能会经历蜜蜂种群向北转移。通过结合空间和时间趋势,这项工作朝着为适合未来气候的保护措施提供信息迈出了重要一步,指导了如何在正确的时间和地点进行干预。