A5041662757- Forest ecology and management
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Conservation, Biodiversity, and Resource Management
- Tree-ring climate responses
- Fire effects on ecosystems
- Climate variability and models
- Cytokine Signaling Pathways and Interactions
- Plant Virus Research Studies
- Plant Ecology and Soil Science
- Forest Biomass Utilization and Management
- Macrophage Migration Inhibitory Factor
- Advanced Image and Video Retrieval Techniques
- Climate change and permafrost
- Hydrology and Drought Analysis
- Environmental and biological studies
- Smart Agriculture and AI
- Atherosclerosis and Cardiovascular Diseases
- Climate Change and Sustainable Development
- Inflammasome and immune disorders
- Oil Palm Production and Sustainability
- Soil Carbon and Nitrogen Dynamics
- Horticultural and Viticultural Research
- Land Use and Ecosystem Services
- Cardiac Fibrosis and Remodeling
National Taiwan University
2020-2025
Australian Research Council
2025
UNSW Sydney
2025
Peking University
2021-2024
Beijing Forestry University
2017
Shanghai Pudong New Area Gongli Hospital
2014
Second Military Medical University
2014
School of Geography and Environment, Oxford University, Oxford, United KingdomSchool Kingdom, Tyndall Centre for Climate Change Research, KingdomEnvironment Energy Group, Bureau Development Policy, Nations Programme, New York, YorkCORRESPONDING AUTHOR: Mark New, South Parks Road, OX1 3QY, E-mail: mark.new@geog.ox.ac.uk
Abstract China’s extensive planted forests play a crucial role in carbon storage, vital for climate change mitigation. However, the complex spatiotemporal dynamics of forest area and its storage remain uncaptured. Here we reveal such changes from 1990 to 2020 using satellite field data. Results show doubling area, trend that intensified post-2000. These lead increasing 675.6 ± 12.5 Tg C 1,873.1 16.2 2020, with an average rate ~ 40 yr −1 . The expansion contributed 53% (637.2 5.4 C) total...
ABSTRACT Aim Environmental factors that govern the allocation of net primary production (NPP) between long‐lived components (wood) and short‐lived (leaves, fine roots) are poorly understood yet essential when relating NPP to carbon stocks, especially among different plant functional types. We conducted a spatially synoptic analysis investigate relationships climate at global scale. ask fundamental question in forest ecology terrestrial science: What environmental drivers influence...
Understanding how warming influence above-ground biomass in the world's forests is necessary for quantifying future global carbon budgets. A climate-driven decrease stocks could dangerously strengthen climate change. Empirical methods studying temperature response of have important limitations, and modelling needed to provide another perspective. Here we evaluate impact rising air on old-growth using a model that explains well observed current variation over humid lowland areas world based...
Tillage and groundcover are the two mainly used management practices in orchard. Only small portion of orchard has been treated with China, which would restrict our understanding scientific apple This study aimed to investigate impact different treatments on plant growth species soil properties an near Beijing, northern China. Six commonly were chosen grow underground. Our results showed that had significant greater maximum photosynthesis rate (Pmax) than weeds control plots. Meanwhile,...
In botanical image processing, it is challenging to identify roots automatically since occupy only a very small part of the and their colors are similar those soil. To address this, we apply three strategies. First, fit characteristics roots, many ridge-like filters applied. Second, machine learning method support vector applied boost mechanism adopted. Also, morphology adopted avoid applying pixels in border as training data. With these techniques, with variety widths can be accurately extracted.
Abstract Background: Understanding how warming temperatures are influencing biomasses in the world’s forests is necessary for quantifying future global C (carbon) budgets. A temperature-driven decrease stocks could dangerously strengthen climate change. Empirical methods studying temperature response of have important limitations, and modelling needed to provide another perspective. We modelled current AGB (old-growth above-ground biomass) humid lowland areas world by dividing GPP (gross...