Tennakoon Sarasie, Apan Armando, Maraseni Tek
School of Surveying and Built Environment University of Southern Queensland Toowoomba Queensland Australia.
Institute of Environmental Science and Meteorology University of the Philippines Diliman Quezon City Philippines.
Ecol Evol. 2024 Apr 18;14(4):e11300. doi: 10.1002/ece3.11300. eCollection 2024 Apr.
Honey bees play a vital role in providing essential ecosystem services and contributing to global agriculture. However, the potential effect of climate change on honey bee distribution is still not well understood. This study aims to identify the most influential bioclimatic and environmental variables, assess their impact on honey bee distribution, and predict future distribution. An ensemble modelling approach using the biomod2 package in R was employed to develop three models: a climate-only model, an environment-only model, and a combined climate and environment model. By utilising bioclimatic data (radiation of the wettest and driest quarters and temperature seasonality) from 1990 to 2009, combined with observed honey bee presence and pseudo absence data, this model predicted suitable locations for honey bee apiaries for two future time spans: 2020-2039 and 2060-2079. The climate-only model exhibited a true skill statistic (TSS) value of 0.85, underscoring the pivotal role of radiation and temperature seasonality in shaping honey bee distribution. The environment-only model, incorporating proximity to floral resources, foliage projective cover, and elevation, demonstrated strong predictive performance, with a TSS of 0.88, emphasising the significance of environmental variables in determining habitat suitability for honey bees. The combined model had a higher TSS of 0.96, indicating that the combination of climate and environmental variables enhances the model's performance. By the 2020-2039 period, approximately 88% of highly suitable habitats for honey bees are projected to transition from their current state to become moderate (14.84%) to marginally suitable (13.46%) areas. Predictions for the 2060-2079 period reveal a concerning trend: 100% of highly suitable land transitions into moderately (0.54%), marginally (17.56%), or not suitable areas (81.9%) for honey bees. These results emphasise the critical need for targeted conservation efforts and the implementation of policies aimed at safeguarding honey bees and the vital apiary industry.
蜜蜂在提供重要的生态系统服务和促进全球农业发展方面发挥着至关重要的作用。然而,气候变化对蜜蜂分布的潜在影响仍未得到充分理解。本研究旨在确定最具影响力的生物气候和环境变量,评估它们对蜜蜂分布的影响,并预测未来的分布情况。采用R语言中的biomod2包的集成建模方法开发了三个模型:仅气候模型、仅环境模型以及气候和环境组合模型。利用1990年至2009年的生物气候数据(最湿润和最干燥季节的辐射以及温度季节性),结合观察到的蜜蜂存在和伪不存在数据,该模型预测了两个未来时间段蜜蜂养蜂场的适宜位置:2020 - 2039年和2060 - 2079年。仅气候模型的真技能统计(TSS)值为0.85,突出了辐射和温度季节性在塑造蜜蜂分布中的关键作用。仅环境模型纳入了与花卉资源的接近程度、叶面积投影盖度和海拔,显示出强大的预测性能,TSS为0.88,强调了环境变量在确定蜜蜂栖息地适宜性方面的重要性。组合模型的TSS更高,为0.96,表明气候和环境变量的组合提高了模型的性能。到2020 - 2039年期间,预计约88%的高度适宜蜜蜂栖息的栖息地将从当前状态转变为中度适宜(14.84%)至边缘适宜(13.46%)的区域。2060 - 2079年期间的预测揭示了一个令人担忧的趋势:100%的高度适宜土地转变为对蜜蜂来说为中度适宜(0.54%)、边缘适宜(17.56%)或不适宜的区域(81.9%)。这些结果强调了针对性保护措施以及实施旨在保护蜜蜂和重要养蜂业的政策的迫切需求。