为探究太行山上榆蚜的生活史,采用特定年龄生命表的方法,采集山西太行山5个地区榆蚜,分别为绛县陈村林场里册峪大自里沟(CC),翼城县大河林场(DH),霍州市七里峪(QLY),灵石县石膏山黄榆沟(SGS),介休市绵山正果寺附近(MS).统计五个地区榆...为探究太行山上榆蚜的生活史,采用特定年龄生命表的方法,采集山西太行山5个地区榆蚜,分别为绛县陈村林场里册峪大自里沟(CC),翼城县大河林场(DH),霍州市七里峪(QLY),灵石县石膏山黄榆沟(SGS),介休市绵山正果寺附近(MS).统计五个地区榆蚜生命表种群参数、繁殖参数及存活率变化.结果表明,研究采样的山西五个地区,发育历期,年龄阶段存活率(Sxj)和繁殖力(lxmx)均表现出相同的趋势:CC地区发育历期最高,DH和QLY发育历期比较相近,SGS和MS地区发育历期相近且最低;CC地区榆蚜的成虫寿命最高,SGS地区榆蚜次之,DH地区榆蚜的成虫寿命最低;CC地区年龄阶段存活率和繁殖力最高,DH和QLY年龄阶段存活率和繁殖力相近,SGS和MS地区年龄阶段存活率和繁殖力相近且最低.研究创新点在于:区别于传统生命表,首次利用age-stage,two-sex life table将太行山五个地区榆蚜的生活史进行比较,为榆树害虫的防治提供一个新的研究方法.展开更多
In July 2023,the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 pandemic.This report summarizes the rich discussion...In July 2023,the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 pandemic.This report summarizes the rich discussions that occurred during the workshop.The workshop participants discussed multisource data integration and highlighted the benefits of combining traditional surveillance with more novel data sources like mobility data,social media,and wastewater monitoring.Significant advancements were noted in the development of predictive models,with examples from various countries showcasing the use of machine learning and artificial intelligence in detecting and monitoring disease trends.The role of open collaboration between various stakeholders in modelling was stressed,advocating for the continuation of such partnerships beyond the pandemic.A major gap identified was the absence of a common international framework for data sharing,which is crucial for global pandemic preparedness.Overall,the workshop underscored the need for robust,adaptable modelling frameworks and the integration of different data sources and collaboration across sectors,as key elements in enhancing future pandemic response and preparedness.展开更多
文摘为探究太行山上榆蚜的生活史,采用特定年龄生命表的方法,采集山西太行山5个地区榆蚜,分别为绛县陈村林场里册峪大自里沟(CC),翼城县大河林场(DH),霍州市七里峪(QLY),灵石县石膏山黄榆沟(SGS),介休市绵山正果寺附近(MS).统计五个地区榆蚜生命表种群参数、繁殖参数及存活率变化.结果表明,研究采样的山西五个地区,发育历期,年龄阶段存活率(Sxj)和繁殖力(lxmx)均表现出相同的趋势:CC地区发育历期最高,DH和QLY发育历期比较相近,SGS和MS地区发育历期相近且最低;CC地区榆蚜的成虫寿命最高,SGS地区榆蚜次之,DH地区榆蚜的成虫寿命最低;CC地区年龄阶段存活率和繁殖力最高,DH和QLY年龄阶段存活率和繁殖力相近,SGS和MS地区年龄阶段存活率和繁殖力相近且最低.研究创新点在于:区别于传统生命表,首次利用age-stage,two-sex life table将太行山五个地区榆蚜的生活史进行比较,为榆树害虫的防治提供一个新的研究方法.
文摘In July 2023,the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 pandemic.This report summarizes the rich discussions that occurred during the workshop.The workshop participants discussed multisource data integration and highlighted the benefits of combining traditional surveillance with more novel data sources like mobility data,social media,and wastewater monitoring.Significant advancements were noted in the development of predictive models,with examples from various countries showcasing the use of machine learning and artificial intelligence in detecting and monitoring disease trends.The role of open collaboration between various stakeholders in modelling was stressed,advocating for the continuation of such partnerships beyond the pandemic.A major gap identified was the absence of a common international framework for data sharing,which is crucial for global pandemic preparedness.Overall,the workshop underscored the need for robust,adaptable modelling frameworks and the integration of different data sources and collaboration across sectors,as key elements in enhancing future pandemic response and preparedness.
