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Quantifying the structure, function and utility of urban forests

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Project Description

60% of the global population will be urban by 2030. Urban forests provide massively important ecosystem and amenity benefits including health, climate mitigation, recreational and aesthetic. But these benefits are hard to quantify and are unevenly distributed between urban populations. Current approaches are often limited by the need for fast, low-cost and pragmatic management tools and are consequently undervalued: it is easier to reach consensus on conservative (low) valuation estimates than upper values. This project will explore new measurement tools and approaches to develop better ways to assess, understand and quantify the many values of urban forests, combining ground, airborne (UAV), space data, plus socioeconomic & other related data, in particular to assess how these benefits are distributed.


Specific research questions include: ​How can we use new spatial data and measurement tools to better quantify the benefits (and disbenefits) of urban forests, particularly carbon storage and temperature mitigation? How do metrics related to the structure (size, arrangement and connectivity) of urban forests relate to resilience and biodiversity? Can these metrics be used to more effectively prioritise equity of access? 


Outcomes and impact: a new way to understand, map and manage urban forests; new insights into the ecology and function of urban trees; improved management and decision-making around urban trees, particularly focusing on equity of access and benefit.

Research themes
Project Specific Training

The student will receive training in the collection of tree structure and function measurements, specifically terrestrial laser scanning (1-1 supervisory team), UAV measurements including lidar and structure-from-motion (student would undertake UAV flight training and certification); survey measurement of trees relevant to forest valuation (both 1-1 and with external partners); satellite and airborne data (1-1 and with partners in NCEO, UCL and Kew). Data analysis training will be undertaken as part of existing training programmes within UCL and NCEO.

Potential Career Trajectory

The student will develop very strong measurement, data handling and analysis skills including coding, as well a mix of fieldwork, survey and writing. This opens a very wide range of career paths including, academic research in forests, carbon cycle and climate, environmental change, tree and forest ecology, urban management and green infrastructure. These skills are also highly desirable in the commercial and third sector including environmental impact assessment, geospatial analysis, environmental policy, NGOs focusing on mapping and modelling, gov space and science agencies, even computing, financial analysis and modelling.

Project supervisor/s
Mathias Disney
Geography
UCL
m.disney@ucl.ac.uk
Dr. Phil Wilkes
Kew Science
Kew
p.wilkes@kew.org
Supervision balance
70:30