A5062491639- Land Use and Ecosystem Services
- Urban Green Space and Health
- Urban Heat Island Mitigation
- Economic and Environmental Valuation
- Urban Agriculture and Sustainability
- Sustainability in Higher Education
- Conservation, Biodiversity, and Resource Management
- Climate Change and Health Impacts
- Housing Market and Economics
- Remote Sensing in Agriculture
- Environmental Education and Sustainability
- Leaf Properties and Growth Measurement
- Architecture and Cultural Influences
Imperial College London
2019-2024
University of Kent
2024
MRC Centre for Environment and Health
2019-2024
Medical Research Council
2021
Singapore Institute of Technology
2018-2021
National University of Singapore
2018
ETH Zurich
2018
Urban vegetation provides many ecosystem services that make cities more liveable for people. As the world continues to urbanise, cover in urban areas is changing rapidly. Here we use Google Earth Engine map all larger than 15 km2 2000 and 2015, which covered 390,000 490,000 respectively. In a substantial area, equivalent size of Belarus. Proportional was highly variable, declined most between 2015. Declines proportional vegetated were particularly common Global South. Conversely, increased...
The identification of relationships between multiple ecosystem services (ES) (i.e. trade-offs, synergies and bundles) is essential for ES management. However, the may be susceptible to spatial autocorrelation — a statistical bias due observations being related each other across space. Spatial remains largely overlooked in literature on its implications are not clear. Here we assess implication accounting when determining using four found city-state Singapore. We quantify some most common...
Our study provides a first look at the relationship between large-scale buildings incorporating vegetation (Dense and Green) bird species richness in Milan, is one of studies conducted so far to assess this globally. We carried out our survey around three Dense Green six high-density with no (Normal Dense). had higher mean (5) than Normal (0.83). ran an ordinary least squares model as dependent variable, building type, nearby interaction term them explanatory variables. The significant shows...