中国农业科学2026，Vol.59Issue(18)：4076-4091,16.DOI:10.3864/j.issn.0578-1752.2026.18.010
地统计学在害虫生物防治中的应用与决策支持
Application of Geostatistics in Insect Biological Control and Its Support for Precision Pest Management Decisions
摘要
Abstract
The spatial distribution of natural enemy populations as well as their spatio-temporal relationships with pests directly determines the performance of agricultural ecosystems'natural pest suppression function,and acts as a critical foundation for research on green and precision pest management.Traditional research continues to follow the analytical paradigm of"population monitoring-average assessment-uniform intervention",focusing on the temporal dynamics of pest density.This confines many studies to merely descriptive analysis of spatial patterns,leaving them unable to underpin practices of pesticide reduction&efficiency improvement and green pest control in terms of spatial heterogeneity identification,pest-natural enemy spatial relationship dissection,and management decision support.By integrating spatial location data and population observation values,geostatistics can effectively characterize the spatial structure of pest and natural enemy populations,identify pest high-density aggregation hotspots and natural enemy dominant distribution zones,and further quantitatively diagnose their spatial overlap zones,tracking relationships and spatial mismatch zones.It thus provides an innovative analytical approach to break through the limitations of traditional methods.We provide a systematic review of research progress and applications of geostatistics in biological pest control,focusing on how it has advanced from describing average pest populations to recognizing spatial heterogeneity,from describing the distribution of single populations to diagnosing natural enemy-pest relationships,and further from analyzing spatial patterns to supporting precision pest control decision-making.We summarize differentiated geostatistical application modes marked by"rapid response"and"stable persistence"in annual field crops and perennial horticultural systems.A pest control decision-making pathway of"data capture-spatial diagnosis-management decision-feedback optimization"is proposed,which systematically converts spatial evidence including pest hotspots,natural enemy coverage and spatial mismatches into implementable management measures such as zoned management,targeted natural enemy release and control efficacy evaluation.In the future,multi-source spatial data integration,cross-scale dynamic modeling,ecological mechanism embedding and intelligent decision-making platform construction should be further strengthened to elevate the interpretive capacity,decision-making ability and application potential of geostatistics in biological pest control.关键词
地统计学/害虫-天敌关系/空间异质性/空间重叠/精准防控/生物防治Key words
geostatistics/pest-natural enemy interaction/spatial heterogeneity/spatial overlap/precision control/biological control引用本文复制引用
李姝,马驰,汪加佳,肖达,米莹莹,岳艳丽,王甦..地统计学在害虫生物防治中的应用与决策支持[J].中国农业科学,2026,59(18):4076-4091,16.基金项目
国家重点研发计划(2023YFE0104800,2023YFD1400600)、青年北京学者项目、四川省自然科学面上基金项目(2025ZNSFSC0172) （2023YFE0104800,2023YFD1400600）
