本次会议由贵州大学主办，绿色农药全国重点实验室和中国生态学学会化学生态专业委员会共同承办，旨在以人 工智能技术的快速发展为契机，构建一个融合多学科、具有国际视野的高端学术交流平台，探索智能科技与化学 生态学交叉融合的创新路径。 会议现场。 在全球数字化转型与生态文明建设协同推进的背景下，会议重点聚焦人工智能技术在化学生态学前沿领域的突破 性应用，包括机器学习在昆虫行为预测、植物-害虫互作模型构建中的应用，以及基于人工智能的绿色农药分子设 计与生态风险评估等创新成果。研讨会还结合贵州丰富的湿地资源与生态优势，探讨了科技支撑下的现代农业发 展新模式。 会议现场。 近日，以"人工智能时代下化学生态学研究的发展"为主题的首届国际化学生态学研讨会在贵阳举行。来自该领域 的国内外权威专家，围绕化学生态学的基础研究、技术转化与区域实践等内容进行深入研讨。 会议现场。 与会嘉宾合影。 贵州大学精细化工研究与开发中心、绿色农药全国重点实验室教授周警疆表示，希望通过会议，构建多学科融 合、具有国际视野的高端学术交流平台，促进国内化学生态学研究水平提升，推动贵州绿色农业害虫管理及环境 保护事业发展。(文/图 曾兰乔) ...

Group 1 - The article discusses the concept of information exchange in nature, particularly among plants, highlighting that plants like corn and tomatoes can send signals to warn each other of threats such as insect attacks [1] - Tea trees, as an ancient species with a long history in China, have developed a sophisticated cold wave warning system to survive extreme climate challenges [1][2] - Individual tea trees exhibit differences in cold resistance, and when one tree detects a cold front, it releases specific aromatic compounds to alert neighboring trees, which then activate their own protective mechanisms [2][3] Group 2 - Research indicates that plant communication may not be a one-way signal but rather a form of dialogue, where receiving plants actively respond to the signals they receive [2][3] - The interaction among tea trees involves a mutual support network, where the alerted trees not only receive warnings but also provide assistance back to the signaling tree, enhancing overall resilience [3] - The study of plant communication is evolving, with the potential for humans to decode these interactions, leading to a better understanding of plant needs and fostering a more respectful relationship with nature [3]