Spatio-temporal pattern of biomass and its influencing factors of four typical plant communities on desert steppe in Ningxia autonomous region
[Objective]Understanding the spatio-temporal patterns and influencing factors of steppe plant com-munity biomass is essential for analyzing the ecological functions of steppe systems under global climate change.[Method]This study examines four typical plant communities in the Ningxia desert steppe:Lespedeza potaninii,Ley-mus secalinus,Stipa breviflora and Pennisetum flaccidum.communities.Using a sample survey method,the spatio-temporal distributionand factors influencing aboveground and underground biomass in these communities were ana-lyzed.[Result]The results showed that during the growing season,aboveground biomass of each plant community exhibited a single peak(in August),while underground biomass showed a double peak(in May and September,re-spectively);The underground biomass was primarilyconcentrated in the 0～15 cm soil layer,decreasing with soil depth.The linear fitting modelsrevealed a highly significant positive correlation(P<0.01)between aboveground bio-mass and underground biomass in the Lespedeza potaninii,the Stipa breviflora,and the White grass communities,where a sthe Leymus secalinus community exhibited a highly significant negative correlation(P<0.01);Community species diversity and biomass followed a quadratic relationship.Redundancy analysis identified that the amount of evaporation(AE),maximum temperature(MT)and average temperature(AT)during the growing seasonas the pri-mary factors influencing biomass variation.The random forest model highlighted the importance of climate factors over soil properties in predicting vegetation biomass changes,with humidity exertingthe greatest influence.[Conclusion]This study provides new insights into the regulatory mechanisms of aboveground and underground bio-mass allocation in plant communities.The findings are valuable for understanding the-patio-temporal dynamics of net primary productivity in Ningxia desert steppes and offer guidance for sustainable ecosystem management.
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