- Soil Carbon and Nitrogen Dynamics
- Forest ecology and management
- Fire effects on ecosystems
- Ecology and Vegetation Dynamics Studies
- Plant nutrient uptake and metabolism
- Peatlands and Wetlands Ecology
- Plant Water Relations and Carbon Dynamics
- Seedling growth and survival studies
- Climate change and permafrost
- Data Analysis with R
- Immune Cell Function and Interaction
- Botany and Plant Ecology Studies
- Atmospheric and Environmental Gas Dynamics
- Rangeland and Wildlife Management
- Forest Ecology and Biodiversity Studies
- T-cell and B-cell Immunology
- Mycorrhizal Fungi and Plant Interactions
- Tree Root and Stability Studies
- Soil Moisture and Remote Sensing
- Agriculture, Soil, Plant Science
- Advanced Battery Technologies Research
- Water Resources and Management
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Tree-ring climate responses
University of Helsinki
2018-2024
Peking University People's Hospital
2023
Peking University
2023
Soochow University
2022
First Affiliated Hospital of Soochow University
2022
Fine root lifespan is a critical trait associated with contrasting strategies of resource acquisition and protection. Yet, its position within the multidimensional "root economics space" synthesizing global largely uncertain, it rarely represented in frameworks integrating plant variations. Here, we compiled most comprehensive dataset absorptive median (MRL) data including 98 observations from 79 woody species using (mini-)rhizotrons across 40 sites linked MRL to other traits address...
Scots pine (Pinus sylvestris L.) is one of the most important conifers in Northern Europe. In boreal forests, over one-third net primary production allocated to roots. Pioneer roots expand horizontal and vertical root systems transport nutrients water from belowground aboveground. Fibrous roots, often colonized by mycorrhiza, emerge pioneer absorb soil. this study, we installed three flatbed scanners detect daily growth both fibrous during growing season 2018, a year with an unexpected...
Forest ecosystem productivity is strongly linked to site nutrient availability, which influenced by litter inputs and their decomposition rates. Fine roots mycelia are key contributors in belowground soil carbon (C) accumulation, but studies have seldom reported how C input related types boreal forests. In this study, three mature one young Pinus sylvestris forests along a type gradient southern Finland were chosen for measurements of fine root biomass, longevity, below- aboveground growth...
Abstract Root phenotyping describes methods for measuring root properties, or traits. While can be challenging, it is advancing quickly. In order the field to move forward, essential understand current state and challenges of phenotyping, as well pressing needs biology community. this letter, we present discuss results a survey that was created disseminated by members Graduate Student Postdoc Ambassador Program at 11th symposium International Society Research. This aimed (1) provide an...
In warming climates, soil water content (SWC) may act as an important factor in determining belowground carbon dynamics boreal forests. Here, we estimated the respiration and nonstructural carbohydrate (NSC) concentrations of tree roots a mature Scots pine (Pinus sylvestris L.) stand southern Finland during two growing seasons with contrasting weather conditions. Root was four different methods: 1) incubating excised roots, 2) partitioning forest floor respirations root exclusion, or 3)...
Incomplete knowledge of carbon (C) allocation dynamics in trees hinders accurate modeling and future predictions tree growth. We studied C a mature Pinus sylvestris L. dominated forest with novel analytical approach, allowing the first comparison of: (i) magnitude δ13C shoot, stem soil CO2 fluxes (Ashoot, Rstem Rsoil), (ii) concentration compound-specific and/or bulk non-structural carbohydrates (NSCs) phloem roots (iii) growth fine roots. Results showed significant effect NSC concentrations...
Natural killer (NK) cells have been demonstrated as a promising cellular therapy they exert potent anti-tumor immune responses. However, applications of NK to tumor immunotherapy, especially in the treatment advanced hematopoietic and solid malignancies, are still limited due compromised survival short persistence transferred vivo . Here, we observed that fucosyltransferase (FUT) 7 8 were highly expressed on cells, expression CLA was positively correlated with accumulation clinical B cell...
Coarse roots represent a globally important belowground carbon pool, but the factors controlling coarse root decomposition rates remain poorly understood relative to other plant biomass components. We compiled most comprehensive dataset of data including 148 observations from 60 woody species, and linked traits, phylogeny climate address questions dominant controls on decomposition. found that increased with mean annual temperature, nitrogen phosphorus concentrations. was slower for...
Biochar is widely used in integrated soil management, which directly alters the environment and drastically affects microbial community. Given important role of microorganisms carbon cycling soils, it to understand how biochar stability organic (SOC) pools Dahurian larch (Larix gmelinii) forest through pathways context unburnt high-severity burnt guide comprehensive management restoration ecological functions post-fire soils. This study employed r/K strategy theory quantify propensities...
Abstract Prescribed burning is commonly used to maintain forest ecosystem functions and reduce the risk of future wildfires. Although many studies have investigated response microbial community wildfires in ecosystems, effects prescribed burnings on soil structure are less studied. It also unclear that how post-fire physiochemical properties changes affected communities. Here, we studied impacts microbiome three typical temperate forests northern China by collecting physicochemical...
In this work, an MIV-OSELM prediction model is constructed to predict the state of charge (SOC) lead-acid battery, which combines mean impact value (MIV) algorithm and online sequence extreme learning machine (OSELM) algorithm. This uses MIV method quantitatively calculate input variables on output variables, completes selection model; OSELM used carry out incremental new samples generated during use track potential battery's health (SOH) SOC battery in a timely manner. Compared with results...