土壤与作物2026，Vol.15Issue(2)：133-144,12.DOI:10.11689/sc.2025062501
土壤线虫对大气CO2浓度升高的响应
Responses of soil nematode to rising atmospheric CO2 concentrations
摘要
Abstract
Elevated atmospheric CO2(eCO2)impacts the structure and function of terrestrial ecosystems.Soil nematodes occupy a pivotal position within the soil food web.Soil nematode communities not only regulate key processes such as soil carbon accumula-tion,organic matter decomposition and nutrient cycling,but also serve as important indicators for assessing the sustainability impacts of climate change on soil ecosystems.Here,we review the past decade research progress on the responses of soil nematode communities to eCO2,encompassing the response characteristics of nematode abundance,diversity and key functional groups across different ecosystems.We especially emphasize the adaptive interaction mechanisms between specific functional group(plant-parasitic nematodes)and plants under eCO2 conditions.eCO2 alters plant photosynthetic carbon allocation and enhances soil carbon inputs,consequently increasing the total abundance and diversity of soil nematode communities.However,these effects exhibit distinct taxonomic specificity and vary significantly across ecosystems.Notably,in farmland ecosystems,plant-parasitic nematodes demon-strate enhanced adaptive capacity under eCO2 advantages,which is likely to exacerbate crop damage risks.The key future research should highlight on developing high-precision nematode classification and quantification techniques,constructing synergistic plant-nematode economic spectrum models to predict soil ecological functions,and deepening the catastrophic patterns of plant-parasitic nematodes under climate change.关键词
大气CO2浓度升高/全球气候变化/土壤线虫群落/群落结构/植物寄生线虫Key words
elevated atmospheric CO2 concentration/global climate change/soil nematode community/community structure/plant-parasitic nematodes分类
农业科技引用本文复制引用
向月,李彦生,隋跃宇,胡岩峰..土壤线虫对大气CO2浓度升高的响应[J].土壤与作物,2026,15(2):133-144,12.基金项目
国家重点研发计划(2024YFD150160502) （2024YFD150160502）
国家自然科学基金(32172123). （32172123）
