Jingci Meng et al. combined field data from 125 #SedgeWetland sites🖥️ with remote sensing information on solar radiation and climate to evaluate the impact of abiotic and biotic factors on #AbovegroundBiomass📊.

#Biodiversity_ecosystemFunctioning | #SpeciesRichness | #ClimateZone | #EnvironmentalChange

https://doi.org/10.1093/jpe/rtaf137

Qian Liu et al. proposed a novel strategy for large-scale estimation of aboveground #Carbon, #Nitrogen and #Phosphorus stocks in #BorealForests using remote sensing data.

#AbovegroundBiomass | #MachineLearning | #SyntheticApertureRadar

https://doi.org/10.1093/jpe/rtaf174

【🎉Latest accepted article】
Enhancing Forest Biomass Estimation with Synthetic #AirborneLaserScanning via Voxel-based Forest Reconstruction

#AbovegroundBiomass | #LiDARSimulation | #VirtualForest | #RandomForest

https://doi.org/10.1093/jpe/rtag051

📍Abiotic and biotic factors jointly affect #AbovegroundBiomass in #SedgeWetlands of China, but biotic factors play a dominant role⚖️.

#Biodiversity_ecosystemFunctioning | #SpeciesRichness | #ClimateZone | #EnvironmentalChange

https://doi.org/10.1093/jpe/rtaf137

【🎉Latest accepted article】
Regulatory effects of #BiologicalSoilCrusts on #AbovegroundBiomass accumulation of ephemeral plants in Temperate Desert

#ErodiumOxyrrhynchum | #LeafFunctionalTraits | #PhyllosphereMicroorganisms | #PlantLife_history

https://doi.org/10.1093/jpe/rtag011

【🎉Latest accepted article】
Improving Forest Aboveground #Carbon, #Nitrogen, and #Phosphorus Stock Estimation by Integrating Radar and Optical Remote Sensing

#AbovegroundBiomass | #BorealForests | #MachineLearning | #SyntheticApertureRadar

https://doi.org/10.1093/jpe/rtaf174

【🎉Latest accepted article】
Abiotic and biotic factors jointly affect #AbovegroundBiomass in #SedgeWetlands of China

#Biodiversity_ecosystemFunctioning | #SpeciesRichness | #ClimateZone | #EnvironmentalChange

https://doi.org/10.1093/jpe/rtaf137