🔥New in @NatureComms 🔥. Fire-driven disruptions of global soil biochemical relationships. Led by @GuiyaoZhou & @ManuDelBaq w/ @MELucasBorja @EisenhauerLab @TadeoSaez and many more. @IRNAS_CSIC #OpenAccess.

Small increases in N can promote ecosystem services in nutrient poor drylands, but excess N can collapse the soil's capacity to maintain these important services. Results with clear implications under the impacts of atmospheric N deposition, and for future dryland management.

We show that the intermediate disturbance hypothesis can explain the response of dryland ecosystem services - mostly via microbial network complexity and specific ecological network clusters.

Soil microbial networks mediate long-term effects of nitrogen fertilization on ecosystem multiservices. 📰 Out now in @JEcology with @ManuDelBaq @GuiyaoZhou led by Yaodan Zhang & Xiaobo Yuan!. @IRNAS_CSIC @BioFunLab

In @SoilBiolBiochem, we reveal that many microbial genes ONLY respond to 🔥 in the context of fire legacy. 🔥 rewired co-expression networks of functional genes, implying lack of coordination among pathways, particularly C-cycling. @MichelleAfkhami .

RT @NatureGeosci: Article: The proportion of carbon, nitrogen, and phosphorus in the ocean now substantially differs from the Redfield rati….

RT @FAOLandWater: Soil does more than you think❗. It connects #Water, #Food & #Life. Check out this conceptual diagram linking soil to ec….

RT @Trends_Ecol_Evo: Online now: Integration of plant–soil feedbacks with resilience theory for climate change http….

So, future work should strive to understand local soil microbial adaptations in the context of soil legacy, in order to better predict their responses to future disturbances resulting from either direct (fire ignition/suppression) or indirect (climate change) human actions.

Finally, many negative functional responses to 🔥 are in the context of soils that have ATYPICAL FIRE HISTORIES, and we expect global-change affected fire regimes to even further impact microbiome services such as C sequestration, decomposition, and N-cycling. .

The interaction of 🔥 and fire legacy produced unique sets of taxa, functions, or enzymatic pathways from those observed when only considering a main effect of fire. suggesting a lot of information is lost when not considering soil legacy.

In gene co-expression networks, 🔥 decreased functional gene modules by 50 % and resulted in decreased enrichment or complete loss of important coordinated C-cycling functional pathways. but perhaps most importantly. .

Using metatranscriptomics, we find that 🔥 shifts metabolically active microbial taxa in the soil, reduces expression of carbohydrate-cycling enzymes, largely downregulates microbial C, N, and P cycling functions, and dramatically reshapes functional gene co-expression. .

🔥New Paper in @SoilBiolBiochem🔥. "50-year fire legacy regulates soil microbial C and nutrient cycling responses to new fire". w/ @MichelleAfkhami we show that microbiome functional responses to fire depend on soil fire legacy.

RT @AlbertoCanarini: One month left to apply for a PhD position in my group on the ERC funded project EcoMEMO. Link to the PhD course and….

Very nice (and comprehensive) metagenomic analysis of the effects of multiple concurrent global change factors on soils in grasslands! 🌍 . Further highlights the need to investigate these multi-factor treatments across systems. including in agriculture! 🍇🌽🌾🌻.

RT @OIV_int: Grapevines interact closely with microbes, forming a microbiome that affects soil, vine health, and wine quality. On #Biodiver….

RT @GlobalChangeBio: Mycorrhiza—Saprotroph Interactions and Carbon Cycling in the Rhizosphere . 📄 @WVUBiology @Embe….

RT @berasymbionts: 🎉 We’re hiring! Two ERC-funded #PostdocJobs on insect–phytopathogen mutualisms are available in my lab. Explore the chem….

During my contribution to this article, I was supported by MSCA-PF-2021-101064192-FUNVINE

Very important context for global analyses that use whatever data is available. including, in many cases, coarse-level trait descriptions for plant functions that represent highly variable, interactive processes. 🌲 != 🌳.