应用天敌进行生物防治是化学防治的有效替代，也是绿色农业的重要组成部分。我国天敌资源丰富，但目前缺乏稳定的调查与监测体系，且调查方法标准化程度不高、技术门槛较高。影响到资源及时、有效地被利用。近年来，大数据领域飞速发展，为天敌资源调查、监测及信息化也提供了新的思路，有必要大数据驱动的天敌资源监测与调查体系。

要实现天敌资源领域由样本数据到全局数据的转变，需要从以下四个方面实现转变：（1）数据采集从传统人工方法到自动化方法的转变；（2）调查人员从专业人员到广大涉农人员的转变；（3）数据上报由定时定点监测到基于对象的开放式上报的转变；（4）系统运作由集中管理向去中心化的转变。

国家天敌等昆虫资源数据中心于2017年成立，依据分阶段实现“大数据化”的工作思路，通过三年的工作，逐步确立了从采样到数据管理与分析的标准化工作方案，构建了天敌资源监测与调查体系，收集到大量数据，并开展了初步分析，取得了预期的成效。

大数据驱动的天敌资源调查与监测体系构建思路切实可行，是农业生态系统中如何建立活体物种资源信息系统的有益尝试。

Biological control using natural enemies offers an effective alternative to chemical control of pests and diseases. Biological control is also an important component of sustainable agriculture. China hosts an abundance of natural enemy resources. However, for resource exploitation, the comprehensiveness and systematic organization of existing tools are inadequate. Monitoring methods are not standardized and have high technical thresholds. Therefore, timely and effective utilization of natural enemies is limited. The proliferation of big data in recent years has provided novel tools suitable for investigation, monitoring, and informatization of natural enemy resources. It is thus necessary to develop a natural enemy resources survey and monitoring system based on big data concepts.

To realize the transformation from sample data to global data for the survey of natural enemy resources, the following four aspects of transformation are required: 1) transformation of data collection procedures from traditional methods to automated methods; 2) transformation of investigators from professionals to a majority of agricultural personnel; 3) transformation of data reporting from regular and fixed-point monitoring to object-based open reporting; and 4) transformation of system operation from centralized management to decentralization.

With these objectives in mind, the National Data Center for Insect Natural Enemies, Basic Long-term Scientific and Technological Research in Agriculture was established in 2017. At present, the center has established a working concept of realizing "big data" in stages and conducted initial attempts to process and analyze the data. Over the course of three years, the center gradually established a standardized workflow from sampling to data management and analysis, collected a large amount of data, and performed preliminary analyzes.

The National Data Center for Insect Natural Enemies closely adheres to the big data concept and has established a natural enemy resources survey and monitoring system, which is an important attempt to establish a living species resource information system for agricultural ecosystems.