Short and medium- to long-term impacts of nature-based solutions on urban heat

Augusto, Bruno; Roebeling, Peter; Rafael, Sandra; Ferreira, Joana; Ascenso, Ana; Bodilis, Carole

doi:10.1016/j.scs.2020.102122

Cited by 48 publications

(24 citation statements)

References 37 publications

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“…The planning team can deliberately choose from qualitative or quantitative evaluation methods (Raymond et al 2017 ). For example, Ourloglou et al ( 2020 ) apply stream flow modelling and Augusto et al ( 2020 ) combine meteorological, urban energy balance and hedonic pricing models to assess NBS effects. Both benefits and costs need to be carefully assessed and considered (Gómez Martín et al 2020 ).…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Planning nature-based solutions: Principles, steps, and insights

Albert

Brillinger

Guerrero

et al. 2020

Ambio

130

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Nature-based solutions (NBS) find increasing attention as actions to address societal challenges through harnessing ecological processes, yet knowledge gaps exist regarding approaches to landscape planning with NBS. This paper aims to provide suggestions of how planning NBS can be conceptualized and applied in practice. We develop a framework for planning NBS by merging insights from literature and a case study in the Lahn river landscape, Germany. Our framework relates to three key criteria that define NBS, and consists of six steps of planning: Co-define setting, Understand challenges, Create visions and scenarios, Assess potential impacts, Develop solution strategies, and Realize and monitor. Its implementation is guided by five principles, namely Place-specificity, Evidence base, Integration, Equity, and Transdisciplinarity. Drawing on the empirical insights from the case study, we suggest suitable methods and a checklist of supportive procedures for applying the framework in practice. Taken together, our framework can facilitate planning NBS and provides further steps towards mainstreaming.

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Section: Conceptual Frameworkmentioning

confidence: 99%

Planning nature-based solutions: Principles, steps, and insights

Albert

Brillinger

Guerrero

et al. 2020

Ambio

130

View full text Add to dashboard Cite

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“…[6,11]. Consequently, the potential of widely implementing NBS in cities is expected to enable urban planning and development (UPD) to play an important role in climate change mitigation and adaptation, as well as in risk management and resilience [7,12,13].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by Means of Earth Observation

et al. 2021

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Climate change influences the vulnerability of urban populations worldwide. To improve their adaptive capacity, the implementation of nature-based solutions (NBS) in urban areas has been identified as an appropriate action, giving urban planning and development an important role towards climate change adaptation/mitigation and risk management and resilience. However, the importance of extensively applying NBS is still underestimated, especially regarding its potential to induce significantly positive environmental and socioeconomic impacts across cities. Concerning environmental impacts, monitoring and evaluation is an important step of NBS management, where earth observation (EO) can contribute. EO is known for providing valuable disaggregated data to assess the modifications caused by NBS implementation in terms of land cover, whereas the potential of EO to uncover the role of NBS in urban metabolism modifications (e.g., energy, water, and carbon fluxes and balances) still remains underexplored. This study reviews the EO potential in the monitoring and evaluation of NBS implementation in cities, indicating that satellite observations combined with data from complementary sources may provide an evidence-based approach in terms of NBS adaptive management. EO-based tools can be applied to assess NBS’ impacts on urban energy, water, and carbon balances, further improving our understanding of urban systems dynamics and supporting sustainable urbanization.

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“…In this study, the cooling intensity was used to represent the cooling capacity of GI, also known as urban cooling island (UCI) intensity. And the cooling efficiency was defined as a logistic curve between landscape complexity index and UCI intensity, which meant when the slope of the curve started to decrease after exceeding a point, this point was the threshold value of cooling efficiency (TVoE) (Augusto et al, 2020).…”

Section: Definition and Calculation Of Uci Intensity And Tvoementioning

confidence: 99%

The Cooling Intensity Dependent on Landscape Complexity of Green Infrastructure in the Metropolitan Area

Wang

Huang

Chen

et al. 2021

Journal of Environmental Engineering and Landscape Management

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The cooling effect of green infrastructure (GI) is becoming a hot topic on mitigating the urban heat island (UHI) effect. Alterations to the green space are a viable solution for reducing land surface temperature (LST), yet few studies provide specific guidance for landscape planning adapted to the different regions. This paper proposed and defined the landscape complexity and the threshold value of cooling effect (TVoE). Results find that: (1) GI provides a better cooling effect in the densely built-up area than the green belt; (2) GI with a simple form, aggregated configuration, and low patch density had a better cooling intensity; (3) In the densely built-up area, TVoE of the forest area is 4.5 ha, while in the green belt, TVoE of the forest and grassland area is 9 ha and 2.25 ha. These conclusions will help the planners to reduce LST effectively, and employ environmentally sustainable planning.

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Short and medium- to long-term impacts of nature-based solutions on urban heat

Cited by 48 publications

References 37 publications

Planning nature-based solutions: Principles, steps, and insights

Planning nature-based solutions: Principles, steps, and insights

Monitoring and Evaluating Nature-Based Solutions Implementation in Urban Areas by Means of Earth Observation

The Cooling Intensity Dependent on Landscape Complexity of Green Infrastructure in the Metropolitan Area

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