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生态学杂志 ›› 2026, Vol. 45 ›› Issue (6): 2043-2054.doi: 10.13292/j.1000-4890.202606.024

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人工智能在野生动物保护中的应用进展

尹昭华1,王强2,孙珍珍1,李勃达1,赵筱涛1,周学红1*   

  1. 1东北林业大学野生动物与自然保护地学院, 哈尔滨 150040; 2中国科学院东北地理与农业生态研究所中国科学院湿地生态与环境重点实验室, 长春 130102)
  • 出版日期:2026-06-10 发布日期:2026-12-01

Advances in the application of artificial intelligence for wildlife conservation.

YIN Zhaohua1, WANG Qiang2, SUN Zhenzhen1, LI Boda1, ZHAO Xiaotao1, ZHOU Xuehong1*   

  1. (1College of Wildlife and Protected Area, Northeast Forestry University, Harbin 150040, China; 2Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China).

  • Online:2026-06-10 Published:2026-12-01

摘要: 在全球气候变化、人类活动增强的作用下全球生物多样性出现危机,人工智能(artificial intelligence,AI)作为新兴科技,在野生动物保护领域表现出强大潜力。本文综述了人工智能在野生动物保护中的应用进展,主要包括野生动物保护基础研究、人与野生动物冲突与风险防控、打击野生动物犯罪和野生动物保护宣传等领域。研究表明,AI技术拥有强大的数据处理、模式(图像、声纹)识别和建模预测能力,AI的应用显著提升了野生动物保护工作的效率与精确度。然而,AI在野生动物保护的应用中仍面临一些挑战,主要包括数据质量较低、设备成本高、模型跨生态系统适应性差及伦理争议等。


关键词: 人工智能, 野生动物保护, 种群监测, 栖息地管理, 人与野生动物冲突

Abstract: Global biodiversity is in crisis due to climate change and increased human activities. Artificial intelligence (AI), as an emerging technology, has shown great potential in wildlife conservation. We review the progress of the application of AI in wildlife conservation, including the latest application progress in basic research of wildlife conservation, human-wildlife conflict mitigation and risk prevention, combating wildlife crime, and wildlife conservation outreach and public awareness. AI technology has powerful data processing, pattern (image, voiceprint) recognition and modeling prediction capabilities. The application of AI has significantly improved the efficiency and accuracy of wildlife conservation work. However, the application of AI in wildlife conservation still faces some challenges, including low data quality, high equipment cost, poor model adaptability across ecosystems, and ethical disputes.


Key words: artificial intelligence, wildlife conservation, population monitoring, habitat management, human-wildlife conflict