A5102968139- Soil Carbon and Nitrogen Dynamics
- Advanced Sensor and Control Systems
- Advanced Algorithms and Applications
- Insect Pest Control Strategies
- Clay minerals and soil interactions
- Ecology and Vegetation Dynamics Studies
- Ruminant Nutrition and Digestive Physiology
- Peatlands and Wetlands Ecology
- Insect Resistance and Genetics
- Agricultural Practices and Plant Genetics
- Agroforestry and silvopastoral systems
- Soil and Unsaturated Flow
- Insect and Pesticide Research
- Evaluation and Optimization Models
- Forest ecology and management
- Rangeland and Wildlife Management
- Industrial Technology and Control Systems
- Plant Water Relations and Carbon Dynamics
- CRISPR and Genetic Engineering
- Forest Ecology and Biodiversity Studies
- Heavy metals in environment
- Agricultural pest management studies
- Bioenergy crop production and management
- Radar Systems and Signal Processing
- Soil and Water Nutrient Dynamics
Sun Yat-sen University
2021-2025
University of Alberta
2020-2021
Lakehead University
2018-2019
Chinese Academy of Tropical Agricultural Sciences
2011-2014
Harbin Institute of Technology
2010-2013
ABSTRACT Soil organic carbon (SOC) is a valuable resource for mediating global climate change and securing food production. Despite an alarming rate of plant diversity loss, uncertainties concerning the effects on SOC remain, because not only stimulates litter inputs via increased productivity, thus enhancing SOC, but also microbial respiration, reducing SOC. By analysing 1001 paired observations mixtures corresponding monocultures from 121 publications, we show that both content stock are...
Abstract Aim Agroforestry is a globally practised system of land use for achieving greater and more diverse biomass production, but it has other ecological benefits, such as mitigation climate change. Despite this, long‐term carbon (C) accumulation in different components agroforestry systems, the drivers C linkages between tree soil stocks remain unclear. Location Global. Time period From 1989 to 2019. Major taxa studied Trees. Methods Here, we report on global meta‐analysis based 141...
Mycorrhizas are fundamental to plant productivity and diversity maintenance, yet their influence on the temporal stability of forest across scales remains uncertain. The multiscale theory clarifies that (γ stability) metacommunity-several local communities connected through species dispersal-can be decomposed into (α asynchrony among them. Here, based inventory dataset from United States theory, we explored how mycorrhizal strategy influences underlying mechanisms. At scale, found α...
Adaptive multi-paddock (AMP) grazing is a form of rotational in which small paddocks are grazed with high densities livestock for short periods, long recovery periods prior to regrazing. We compared the fluxes greenhouse gases (GHGs), including carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O), from soils AMP-grazed grasslands paired neighboring non-AMP-grazed across climatic gradient Alberta, Canada. further tested GHG responses changes temperature (5 °C vs. 25 °C) moisture...
Abstract Grassland plants, especially their root systems, are dynamic and can buffer changes resulting from exposure to multiple stressors; however, the interactive stressor effects on dynamics associated above‐ground growth poorly understood. Here, we examine of changed precipitation air temperature, defoliation intensity length biomass using third year data a multifactor experiment conducted across three northern temperate grasslands. We found that was more sensitive in environmental...
Performance management is an effective means of promoting agricultural research institutes to improve the innovation capability, establish scientific performance process guarantee for being successfully carried out. This paper discusses establishment organization, developing plans mission objectives, establishing a evaluation index system, development assessment criteria and scoring rules, conducting quantitative qualitative evaluation, verification, strengthening results communication...
A modified space-time adaptive processing (STAP) estimator is described in this paper. The combines the incremental multiparameter (IMP) algorithm and existing beam-space preprocessing techniques yielding a computationally cheap for superresolution of multiple signals. It potential technique remote sensing ocean currents from broadened first-order Bragg sea echo spectrum shipborne high-frequency surface wave radar (HFSWR). Some simulation results real-data analysis are shown to validate...