探寻科技赋能生态建设新路径

Core Insights - The article emphasizes the importance of advancing pollution prevention and optimizing ecosystems as a key focus of the 20th Central Committee of the Communist Party of China [1] - Technological empowerment is highlighted as crucial for optimizing ecosystems, with significant achievements in digital governance and ecological management in China [1] Group 1: Technological Empowerment - Recent breakthroughs in artificial intelligence and biotechnology have led to notable advancements in empowering ecosystems through technology [1] - Examples include AI technology for monitoring biological populations in Zhejiang and a comprehensive fire prevention monitoring system in Hebei with 100% coverage [1] - Challenges remain, such as inconsistent standards across departments, lagging digital infrastructure in remote areas, and insufficient core equipment development [1] Group 2: Policy Design and Support Systems - The establishment of ecological technology special support funds is recommended to finance key areas like domestic monitoring equipment and AI ecological models [2] - Mechanisms for technology transfer and long-term collaboration between research institutions and conservation areas are proposed to bridge gaps between advanced technology and grassroots protection [2] - Strengthening international talent cooperation and enhancing the cultivation of interdisciplinary talents in ecological data science and green technology is essential [2] Group 3: Industrial Activation and Public Engagement - The cultivation of ecological technology industry clusters is encouraged, focusing on smart monitoring equipment manufacturing and carbon accounting software development [3] - The promotion of innovative industry models, such as "photovoltaic desertification control," aims to achieve both ecological and economic benefits [3] - Public participation is vital, with initiatives like developing smart ecological technology platforms and educational bases for youth to enhance ecological technology literacy [3]