【摘要】 生态学研究虽在理论体系构建、可持续发展意识培育及生态系统数据积累方面取得重大成就，但其理论指导实践的能力仍显不足。大数据时代为生态学发展带来新机遇，人工智能与算力技术的融合将推动生态学研究向数据关系挖掘与精准应用转型。人工生态系统将呈现主体转变、要素升级、工具革新、协调发展四大颠覆性响应特征。这些特征标志着人工生态系统向智能化、精准化、和谐化的范式变革，为生态学理论落地提供关键基础。更多还原

【Abstract】 Although ecological research has achieved significant progress in theoretical system construction, cultivation of sustainable development awareness, and accumulation of ecosystem data, its practical applicability remains limited. The big data era presents new opportunities for ecology. The integration of artificial intelligence and computational power will advance ecological studies toward mining data relationships and enabling precise applications. Artificial ecosystems will exhibit four disruptive characteristics:shift in core actors,evolution of key elements, tool revolution, and coordinated development. These signify a paradigm shift toward intelligent, precise, and harmonious artificial ecosystems, providing a key foundation for implementing ecological theories.更多还原