4.6 Article

Location, Location, Location: Modelling of Noise Mitigation by Urban Woodland Shows the Benefit of Targeted Tree Planting in Cities

Journal

SUSTAINABILITY
Volume 14, Issue 12, Pages -

Publisher

MDPI
DOI: 10.3390/su14127079

Keywords

green infrastructure; ecosystem service valuation; urban green space; planning

Funding

  1. DeSCIPHER project under the Sustainable and Liveable Cities and Urban Areas programme
  2. European Union [857160]
  3. UK Economic and Social Science Research Council (ESRC) [ES/T000244/1]
  4. European Union's Horizon 2020 research and innovation programme [821016]
  5. UK Natural Environment Research Council (NERC)
  6. Department of the Environment, Farming and Rural Affairs
  7. ESRC [ES/T000244/1] Funding Source: UKRI

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Urban woodland can effectively mitigate noise pollution if located properly. However, current approaches for quantifying this ecosystem service do not adequately consider spatial factors and fail to identify optimal locations for new woodland. Researchers propose new methods that utilize least-cost-distance to map and value the mitigating effect of urban woodland and identify optimal locations.
Noise pollution from road traffic is ubiquitous in modern cities and is the second greatest environmental risk to health in Western Europe. Urban woodland can provide substantial noise mitigation if located properly, yet such considerations are often absent from the urban planning process. Current approaches for quantifying this important ecosystem service (ES) do not account adequately for important spatial factors and are unable to identify effectively the best locations to place new woodland for noise mitigation. We present new methods, in which we exploit the concept of least-cost-distance, to map and value the mitigating effect of urban woodland, and to identify optimal locations to place new woodland. Applying these methods, we show that urban woodland currently provides Birmingham City (UK) with over GBP 3.8 million in noise mitigation benefits, annually. We also show that our new 'opportunity' mapping methods effectively identify the best locations for new woodland, achieving close to a maximum service with less than a quarter of the additional woodland needed to achieve it. This has important implications for the design and implementation of urban tree planting for noise mitigation, and these methods can be adapted for other ES, allowing consideration of multiple service outcomes.

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