Compared to Conventional, Ecological Intensive Management Promotes Beneficial Proteolytic Soil Microbial Communities for Agro-ecosystem Functioning Under Climate Change-induced Rain Regimes
Authors
Affiliations
Projected climate change and rainfall variability will affect soil microbial communities, biogeochemical cycling and agriculture. Nitrogen (N) is the most limiting nutrient in agroecosystems and its cycling and availability is highly dependent on microbial driven processes. In agroecosystems, hydrolysis of organic nitrogen (N) is an important step in controlling soil N availability. We analyzed the effect of management (ecological intensive vs. conventional intensive) on N-cycling processes and involved microbial communities under climate change-induced rain regimes. Terrestrial model ecosystems originating from agroecosystems across Europe were subjected to four different rain regimes for 263 days. Using structural equation modelling we identified direct impacts of rain regimes on N-cycling processes, whereas N-related microbial communities were more resistant. In addition to rain regimes, management indirectly affected N-cycling processes via modifications of N-related microbial community composition. Ecological intensive management promoted a beneficial N-related microbial community composition involved in N-cycling processes under climate change-induced rain regimes. Exploratory analyses identified phosphorus-associated litter properties as possible drivers for the observed management effects on N-related microbial community composition. This work provides novel insights into mechanisms controlling agro-ecosystem functioning under climate change.
Dendooven L, Perez-Hernandez V, Gomez-Acata S, Verhulst N, Govaerts B, Luna-Guido M Curr Microbiol. 2025; 82(4):144.
PMID: 39969625 PMC: 11839885. DOI: 10.1007/s00284-025-04112-5.
Key features and guidelines for the application of microbial alpha diversity metrics.
Cassol I, Ibanez M, Bustamante J Sci Rep. 2025; 15(1):622.
PMID: 39753610 PMC: 11698868. DOI: 10.1038/s41598-024-77864-y.
Huang Y, Chen Y, Huang H, Shah G, Lin J, Yan M Bioresour Bioprocess. 2024; 10(1):37.
PMID: 38647615 PMC: 10992325. DOI: 10.1186/s40643-023-00659-y.
Wang L, Liang Y, Shang G, Song Z, Gao P Comput Intell Neurosci. 2022; 2022:7936522.
PMID: 35720886 PMC: 9205704. DOI: 10.1155/2022/7936522.
Kaushal M, Kolombia Y, Alakonya A, Fotso Kuate A, Ortega-Beltran A, Amah D Microb Ecol. 2021; 84(2):580-593.
PMID: 34585290 PMC: 9436888. DOI: 10.1007/s00248-021-01873-x.