Yushu Zhang examined the influences of #TillageDisturbance and #NutrientEnrichment on #PlantCommunities, #SoilMicrobialCommunities, and #CarbonMineralization.
@mapjournals.bsky.social
doi.org/10.1093/jpe/...
Map of the study area, experimental layout and before and after rest-grazing of StM and SwM.
Min Zhang et al. explored the response of #Rest-grazingInspring to #SoilMicrobialCommunities and its potential driving factors.
#EnvironmentalFactors | #AlpineGrassland | #QilianMountains
@mapjournals.bsky.social
doi.org/10.1093/jpe/...
A LEfSe method identifies the abundant taxa significantly different across all treatments.
Yanwen Bo et al. investigated the #LittleEffects of #SolidagoCanadensis, a common #InvasivePlants in China, on #SoilMicrobialCommunities under natural conditions.
#Allelopathy | #RootExudates | #High-throughputSequencing
@mapjournals.bsky.social
doi.org/10.1093/jpe/...
🔎Effects: #TillageDisturbance (D) & #NutrientEnrichment (NPKμ) ➡️ #PlantCommunities & #SoilMicrobialCommunities & #CarbonMineralization (CM)
(D + NPKμ = NPKμD)
Results:
1️⃣ Plant community biomass: NPKμD⬆️
2️⃣ Microbial network complexity: NPKμD⬆️, D⬇️
3️⃣ CM: NPKμD⬇️, D⬇️
doi.org/10.1093/jpe/...
Causal path models for direct and indirect effects of soil properties, topographic factors and microbial groups on community structure.
Keystone operational taxonomic unit (OTU) and their influence on bacterial functions. Bacterial contributions of variation in metabolic functions, including (a) carbon metabolism, (b) nitrogen metabolism, (c) phosphorus metabolism, (d) sulfur metabolism, (e) methane metabolism, (f) pentose phosphate pathway, (g) butanoate metabolism, (h) glyoxylate and dicarboxylate metabolism and (i) propanoate metabolism.
The relationship between structure and functions of #SoilMicrobialCommunities and tree composition with #KeystoneMicrobes VS that with #RareMicrobes in a #SubtropicalForest.
1️⃣The former is more closely related.
2️⃣Keystone microbes have better functionality and stability.
doi.org/10.1093/jpe/...
Maps and schematic diagram of land use types in the Yellow River floodplain.
#SoilMicroorganisms is a important bioindicator of soil carbon and nutrient cycling, #LandUseType can affect it. Xiongde Dong et al. conducted the study in the #YellowRiver #Floodplain to examine the effects of land use type on #SoilMicrobialCommunities.
doi.org/10.1093/jpe/...
