Co-occurrence networks at each site.
#PhyllosphereMicrobiota showed a significant non-linear environmental gradient effect in #AlpineGrasslands on the Qinghai–Tibetan Plateau, which was mostly explained by climate factors, especially annual precipitation.
#Biogeography | #MicrobialNetwork
doi.org/10.1093/jpe/...
Spatial distribution of the most predominant climatic controls on leaf onset and offset dates of alpine grasslands on the QTP, identified based on the AGSI model using (a–f) ground-based and (g–l) satellite-based parameter values, respectively.
Qingling Sun developed a semi-mechanistic #PhenologicalModel, the Alpine #GrowingSeasonIndex (AGSI), to predict foliar phenology in #AlpineGrasslands on the Qinghai–Tibetan Plateau.
#ClimaticFactor | #LimitingEffect
@mapjournals.bsky.social
doi.org/10.1093/jpe/...
【🎉Latest accepted article】
#PhyllosphereMicrobiota in #AlpineGrasslands on Qinghai-Tibetan Plateau varied with geographical and climatic factors
#Biogeography | #MicrobialNetwork | #EcosystemMultifunctionality
@mapjournals.bsky.social
doi.org/10.1093/jpe/...
Effect of warming, grazing and their interaction on plant biomass allocation and soil properties in alpine grassland (mean ± 95% CI).
#Warming🌡️ & #Grazing🌱 ➡️ resource allocation strategies in #AlpineGrasslands
Place: Tibetan Plateau
Method: #meta-analysis
Results:
1️⃣ The aboveground and belowground growth relationship follows the allometric growth hypothesis;
2️⃣ Warming & grazing ➡️ soil properties.
doi.org/10.1093/jpe/...
Sketch map showing the identification of leaf onset date (indicated by A) and leaf offset date (indicated by B) based on the AGSI curve and an AGSI threshold (AGSIthr).
💡 An ‼️improved‼️ #GrowingSeasonIndex of #AlpineGrasslands on the #Qinghai–TibetanPlateau
Characteristics: including 1️⃣ #MaximumTemperature, 2️⃣ #Precipitation, 3️⃣ #Photoperiod
Function: predicting #FoliarPhenology
doi.org/10.1093/jpe/...
Map of the study area, experimental layout and before and after rest-grazing of StM and SwM.
Correlation between soil microorganisms of (a, f) Total PLFAs, (b, g) Act, (c, h) Bacteria, (d, i) Fungi, (e, j) AMF and above-/below-ground biomass in StM and SwM in different years of rest-grazing.
❇️ #Rest-grazing in spring ➡️ #SoilMicrobialCommunity🟰 Effect❓
Place: #AlpineGrasslands
Results:
1️⃣ Increased #AbovegroundBiomass ➡️ Improved #PlantDiversity;
2️⃣ Increased #SoilOrganicCarbon ➡️ restored #SoilProperties.
doi.org/10.1093/jpe/...
Summary conceptual model of the regulation of plant community traits and functions along the precipitation gradient in response to biomass trade-offs.
Le Sun et al. pointed that the trade-off pattern of #Biomass of #AlpineGrasslands is not only determined by plant community traits and functions on the #TibetanPlateau, but also regulated by #Precipitation regimes.
doi.org/10.1093/jpe/...
A schematic diagram of underlying stability mechanisms in the studied alpine grasslands. The width of the bar represents the strength of different effects.
Ge Hou et al. found that the #DominantSpecies predominated #CommunityStability by promoting the community #DominantSpeciesStability (DSS) and #SpeciesAsynchrony in the #AlpineGrasslands on the northern #TibetanPlateau. Protecting dominant species can stabilize the ecosystem.
doi.org/10.1093/jpe/...
The relationship between grass and forbs of the dominant species changes over time (created with BioRender.com).
Qianxin Jiang et al. found that species in #AlpineGrasslands can maintain #CommunityBiomassStability via #AsynchronyDynamics of species under different #Warming conditions.
Details: doi.org/10.1093/jpe/...
