The increasing global concern regarding plastic pollution has prompted the research into the consequences of microplastics(MPs)on aquatic ecosystems.Fairy shrimp Branchinella kugenumaensis are freshwater planktonic or...The increasing global concern regarding plastic pollution has prompted the research into the consequences of microplastics(MPs)on aquatic ecosystems.Fairy shrimp Branchinella kugenumaensis are freshwater planktonic organisms that have existed for 250 million years.This study aimed to uncover the harmful effects of MPs,with a particular focus on their size variations(0.1,1,and 5μm),on the fairy shrimp.We focused on how MPs could significantly affect the survival and growth of fairy shrimp.Notably,larger MPs,especially those measuring 5μm,caused higher mortality rates and hindered the growth compared to smaller ones.The impact of MPs continued even subsequent to depuration in clean water.The accumulation of MPs within the intestines of fairy shrimp resulted in intestinal blockages,disrupted excretory functions,and harmed intestinal epithelial cells.Examinations at the histological,cellular,and molecular levels showed that exposure to MPs triggered necroptosis in intestinal cells,accompanied by alterations in pathways related to transcription,translation,digestion,energy metabolism,and neurological functions.Furthermore,the effects of MPs on gene expression and pathways varied based on particle size,with larger MPs having a more significant effect and causing a strong response in xenobiotic biodegradation and metabolism pathways.We suggest that the increasing severity of MPs pollution could pose a significant threat to the survival of fairy shrimp.This study provided vital insights into the complex relationship between microplastics and aquatic organisms,and highlighted the urgent need to address the potential devastating impact of plastic pollution on freshwater ecosystems.Additionally,due to their rapid growth,strong reproductive capacity,sensitivity,and ease of cultivation,fairy shrimp hold the potential candidate to serve as a model organism for studying the effects of MPs and other pollutants on freshwater ecosystems.展开更多
“精灵圈”是海岸带盐沼植被生态系统中的一种“空间自组织”结构,对盐沼湿地的生产力、稳定性和恢复力有重要影响。无人机影像是实现“精灵圈”空间位置高精度识别及解译其时空演化趋势与规律的重要数据源,但“精灵圈”像素与背景像素...“精灵圈”是海岸带盐沼植被生态系统中的一种“空间自组织”结构,对盐沼湿地的生产力、稳定性和恢复力有重要影响。无人机影像是实现“精灵圈”空间位置高精度识别及解译其时空演化趋势与规律的重要数据源,但“精灵圈”像素与背景像素在色彩信息和外形特征上差异较小,如何从二维影像中智能精准地识别“精灵圈”像素并对识别的单个像素形成个体“精灵圈”是目前的技术难点。本文提出了一种结合分割万物模型(Segment Anything Model,SAM)视觉分割模型与随机森林机器学习的无人机影像“精灵圈”分割及分类方法,实现了单个“精灵圈”的识别和提取。首先,通过构建索伦森-骰子系数(S?rensen-Dice coefficient,Dice)和交并比(Intersection over Union,IOU)评价指标,从SAM中筛选预训练模型并对其参数进行优化,实现全自动影像分割,得到无属性信息的分割掩码/分割类;然后,利用红、绿、蓝(RGB)三通道信息及空间二维坐标将分割掩码与原图像进行信息匹配,构造分割掩码的特征指标,并根据袋外数据(Out of Bag,OOB)误差减小及特征分布规律对特征进行分析和筛选;最后,利用筛选的特征对随机森林模型进行训练,实现“精灵圈”植被、普通植被和光滩的自动识别与分类。实验结果表明:本文方法“精灵圈”平均正确提取率96.1%,平均错误提取率为9.5%,为精准刻画“精灵圈”时空格局及海岸带无人机遥感图像处理提供了方法和技术支撑。展开更多
基金Supported by the National Natural Science Foundation of China(Nos.32371704,32373178)。
文摘The increasing global concern regarding plastic pollution has prompted the research into the consequences of microplastics(MPs)on aquatic ecosystems.Fairy shrimp Branchinella kugenumaensis are freshwater planktonic organisms that have existed for 250 million years.This study aimed to uncover the harmful effects of MPs,with a particular focus on their size variations(0.1,1,and 5μm),on the fairy shrimp.We focused on how MPs could significantly affect the survival and growth of fairy shrimp.Notably,larger MPs,especially those measuring 5μm,caused higher mortality rates and hindered the growth compared to smaller ones.The impact of MPs continued even subsequent to depuration in clean water.The accumulation of MPs within the intestines of fairy shrimp resulted in intestinal blockages,disrupted excretory functions,and harmed intestinal epithelial cells.Examinations at the histological,cellular,and molecular levels showed that exposure to MPs triggered necroptosis in intestinal cells,accompanied by alterations in pathways related to transcription,translation,digestion,energy metabolism,and neurological functions.Furthermore,the effects of MPs on gene expression and pathways varied based on particle size,with larger MPs having a more significant effect and causing a strong response in xenobiotic biodegradation and metabolism pathways.We suggest that the increasing severity of MPs pollution could pose a significant threat to the survival of fairy shrimp.This study provided vital insights into the complex relationship between microplastics and aquatic organisms,and highlighted the urgent need to address the potential devastating impact of plastic pollution on freshwater ecosystems.Additionally,due to their rapid growth,strong reproductive capacity,sensitivity,and ease of cultivation,fairy shrimp hold the potential candidate to serve as a model organism for studying the effects of MPs and other pollutants on freshwater ecosystems.
文摘“精灵圈”是海岸带盐沼植被生态系统中的一种“空间自组织”结构,对盐沼湿地的生产力、稳定性和恢复力有重要影响。无人机影像是实现“精灵圈”空间位置高精度识别及解译其时空演化趋势与规律的重要数据源,但“精灵圈”像素与背景像素在色彩信息和外形特征上差异较小,如何从二维影像中智能精准地识别“精灵圈”像素并对识别的单个像素形成个体“精灵圈”是目前的技术难点。本文提出了一种结合分割万物模型(Segment Anything Model,SAM)视觉分割模型与随机森林机器学习的无人机影像“精灵圈”分割及分类方法,实现了单个“精灵圈”的识别和提取。首先,通过构建索伦森-骰子系数(S?rensen-Dice coefficient,Dice)和交并比(Intersection over Union,IOU)评价指标,从SAM中筛选预训练模型并对其参数进行优化,实现全自动影像分割,得到无属性信息的分割掩码/分割类;然后,利用红、绿、蓝(RGB)三通道信息及空间二维坐标将分割掩码与原图像进行信息匹配,构造分割掩码的特征指标,并根据袋外数据(Out of Bag,OOB)误差减小及特征分布规律对特征进行分析和筛选;最后,利用筛选的特征对随机森林模型进行训练,实现“精灵圈”植被、普通植被和光滩的自动识别与分类。实验结果表明:本文方法“精灵圈”平均正确提取率96.1%,平均错误提取率为9.5%,为精准刻画“精灵圈”时空格局及海岸带无人机遥感图像处理提供了方法和技术支撑。
