Potential nature-based solutions and greenwashing to generate green spaces: Developers’ claims versus reality in new housing offers

Gałecka-Drozda, Anna; Wilkaniec, Agnieszka; Szczepańska, Magdalena; Świerk, Dariusz

doi:10.1016/j.ufug.2021.127345

Cited by 21 publications

(14 citation statements)

References 62 publications

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“…Not all information available online about nature‐based solutions is based on scientifically rigorous research. For example, housing developer statements and advertising brochures have been shown to commonly contain misleading claims about the performance of nature‐based solutions (Gałecka‐Drozda et al., 2021). Developing GenAI models that can provide robust facts may be aided by more advanced data filtering and curation methods while preparing training datasets (Liang et al., 2022).…”

Section: Risks Of Genai For Nature‐based Solutionsmentioning

confidence: 99%

Harnessing generative artificial intelligence to support nature‐based solutions

Richards,

Worden,

Song

et al. 2024

People and Nature

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The ongoing biodiversity and climate change crises require society to adopt nature‐based solutions that integrate and enhance ecosystems. To achieve successful implementation of nature‐based solutions, it is vital to communicate scientific information about their benefits and suitability. This article explores the potential of generative artificial intelligence (GenAI) as a tool for automating and scaling up science communication, outreach, and extension for nature‐based solutions. To illustrate the potential of GenAI, we present three case study examples; (1) reporting scientific information on ecosystem services, future land use options, and nature‐based solutions for farms (2) interactively providing guidance in response to homeowner questions about biodiversity‐friendly garden design and (3) visualising potential future scenarios of landscape change that incorporate diverse nature based and technological solutions. These examples demonstrate potential applications which may be relevant to other systems and types of nature‐based solutions. While GenAI for nature‐based solutions offers significant opportunities, this new technology brings risks of bias, false information, data privacy, mistrust, and high energy usage. Alongside technological development, we require integrated social research into ethics, public acceptability, and user experience, to maximise the benefits of GenAI while limiting these risks. GenAI offers an opportunity to accelerate the dissemination of nature‐based design strategies and reach a broader audience, by synthesising information and producing tailored content for specific users and locations. By harnessing the power of GenAI alongside human expertise, we can support nature‐based solutions to tackle the complex challenges of future sustainability. Read the free Plain Language Summary for this article on the Journal blog.

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Section: Risks Of Genai For Nature‐based Solutionsmentioning

confidence: 99%

Harnessing generative artificial intelligence to support nature‐based solutions

Richards,

Worden,

Song

et al. 2024

People and Nature

View full text Add to dashboard Cite

show abstract

“…Likewise, green plots can mask the soil's imperviousness by covering cement slabs, thereby augmenting the area of construction. Furthermore, inadequate strategic planning and underinvestment in measures for planning and maintaining urban green areas can reduce their aesthetic and environmental values (Gałecka-Drozda et al, 2021).…”

Section: Guidelines For Screening the Best Solutions For Adaptation T...mentioning

confidence: 99%

Guidelines to reduce the effects of urban heat in a changing climate: Green infrastructures and design measures

Pereira

Flores‐Colen

Mendes

2023

Sustainable Development

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The co‐occurrence of more frequent, intense and prolonged heat and drought events can lead to severe socio‐economic impacts. The integration of different types of urban green infrastructures (GIs; e.g., urban parks and building greens), and urban and building design measures (DMs; e.g., a network of cool urban spaces and passive cooling), at various scales, can help reduce outdoor air temperature, energy use and heat stress. Numerous accessible or emerging GI and DM solutions exist, highlighting the need for guidelines that evaluate their suitability in enhancing resilience to extreme heat. Those should consider broader aspects such as geographical conditions, urban morphology and development, social‐economic background, governance and sustainability, as well as more specific considerations like maintenance, adaptability and soil and water resources. To facilitate decision‐making, this study proposes guidelines based on a narrative literature review, discussing the potential impact of GIs and DMs and their role in enhancing the city's climate resilience.

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“…In this sense, cities must be prepared for such an expansion process, considering GIs' inclusion in the development of Master Plans to minimize the climate impacts of urbanization [30,110,111], besides the other benefits recognized [31,[112][113][114]. Furthermore, it is worth noting that implementing these infrastructures in small-and medium-sized urbanization affects a smaller number of people due to the relocation of the population and demands less financial investment in execution as they are preventive actions [115,116].…”

Section: Urban Parksmentioning

confidence: 99%

Meteorological Effects of Green Infrastructure on a Developing Medium Latin American City: A Numerical Modeling Assessment

et al. 2023

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Urban areas concentrate more than 50% of the world’s population and are highly impacted by human activities, mainly due to high population density, directly affecting the micro-climate. In this sense, green infrastructures (GIs) have been pointed out to be helpful in mitigating these effects in large urban areas, where most of the studies were conducted. Therefore, this study evaluates the impacts on meteorological variables in a medium-sized city through the Weather Research and Forecasting model by implementing urban classes of Local Climate Zones (LCZ). Five urban parks and an urban lake were identified and expanded in the inner model grid to analyze the effects of GIs on meteorological variables in the urban environment. Results show that the 10 m wind speed can present an improvement for all statistical indices due to the better vertical representation of urban structures in the central urban area by the LCZ urban classes. In addition, green areas contributed locally to reducing the urban heat island (UHI) effects, resulting in cooling rates around these infrastructures. Compared to the lake, the use of the urban LCZ classes has proven to be an effective way to improve the representation of meteorological variables by a mesoscale weather model. Regarding GIs, this practice performs environmental services capable of mitigating the effects of UHI, sustaining the importance of these systems in urban projects, even for medium-sized cities. Finally, these findings provide support for public decision-makers in creating Master Plans for medium-sized cities regarding the implementation of GIs.

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Potential nature-based solutions and greenwashing to generate green spaces: Developers’ claims versus reality in new housing offers

Cited by 21 publications

References 62 publications

Harnessing generative artificial intelligence to support nature‐based solutions

Harnessing generative artificial intelligence to support nature‐based solutions

Guidelines to reduce the effects of urban heat in a changing climate: Green infrastructures and design measures

Meteorological Effects of Green Infrastructure on a Developing Medium Latin American City: A Numerical Modeling Assessment

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