Correlations between the whole-plant biomass of Leymus chinensis and each of the 22 explanatory variables (i.e. soil pH [pH], soi remaining nitrogen [N], soil remaining phosphorus [P], soil remaining potassium [K], maximum quantum yield of PSII [Fv/Fm], actual quantum yield of PSII [Fq’/Fm’], relative electron transport rate [rETR], non-photochemical quenching [NPQ], chlorophyll [Chl], anthocyanin [AriIdx], normalized difference vegetation index [NDVI], bacteria [Bact], fungi [Fung], multidiversity [MulD], node, edge, complexity [CPLX], edge density [ED], degree centralization [DC], eigenvector centralization [EC], mean connectivity [MC] and modularity [MOD]), as well as correlations among these 22 explanatory variables (a). Fractions of the variance in L. chinensis growth, explained by multidiversity and soil pH based on variance partitioning, when this species was considered at three microplastic abundances (b).
🌨️ #MicroplasticAbundanceThresholds ➡️ the growth of 18 wild plant species 🟰 Effects❓
Results:
1️⃣ Soil pH as a potential driver for wild #PlantGrowth.
2️⃣ Microplastic abundance impacts might not rise consistently.
#ChlorophyllFluorescence | #SoilProperties
doi.org/10.1093/jpe/...