From Experience-Oriented to Quantity-Based: A Method for Landscape Plant Selection and Configuration in Urban Built-Up Areas

Wei, Heyi; Huang, Zhengdong

doi:10.1080/10549811.2015.1033555

Cited by 7 publications

(9 citation statements)

References 57 publications

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“…Selection of species that are identified as unlikely to be vulnerable to current climate in SUAs that have similar climates might be a viable option for expanding the current palette of species within a given city, although consideration must be given to minimize potential risks associated with introducing novel species. Also, we caution that relying only on a small pallet of popular, climate‐tolerant species for urban greening can reduce diversity and ecosystem functioning (Wei & Huang, ). Finally, vulnerable species may require more intensive management (e.g.…”

Section: Discussionmentioning

confidence: 99%

Assessing the vulnerability of Australia’s urban forests to climate extremes

Esperón-Rodríguez

Power

Tjoelker

et al. 2019

Plants People Planet

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Societal Impact Statement Urban forests are recognized for the multiple benefits they provide to city‐dwellers. However, climate change will affect tree species survival and persistence in urban ecosystems. Tree failures will cause economic losses and jeopardize the delivery of societal benefits. The impacts of climate change will depend on the species’ resilience and adaptive capacity, as well as management actions which may ameliorate some of the negative impacts. Here, we assessed the potential vulnerability of Australia's urban forests to climate extremes. Our results can be used for future urban planning aiming to incorporate species that are well‐adapted to the hotter, drier climates expected with climate change. Summary Urban forests (UFs) are recognized for the multiple benefits they provide to city‐dwellers. However, global climate change—particularly predicted increases in the frequency and intensity of heatwaves and drought—will affect tree species’ performance and survival in urban ecosystems. Here, we assessed species composition and potential vulnerability of UFs in 22 Australian significant urban areas (SUAs) to heat and/or moisture stress. We quantified species’ realized climatic niches across their known distribution, and assessed the extent to which baseline climate in the SUAs where a particular species is planted fell within its niche. We used three environmental variables to group species based on their potential climate vulnerability. UFs varied in species composition and climate vulnerability across the continent. In general, neither climate similarity nor geographical proximity were good predictors of species composition among UFs. Of 1,342 tree species assessed (68.4% natives), 53% were considered potentially vulnerable to heat and/or moisture stress in at least one city where they are currently planted. Our results highlight the climate vulnerability of current plantings across Australian SUAs and can be used to direct future species selection that considers the species’ climate of origin and climatic niche. UF planning can incorporate species from SUAs with similar climates and with low vulnerability to contemporary, as well as future climate conditions. Species with high climate vulnerability, in contrast, may require more intensive management to avoid failure under future hotter, drier climate conditions.

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Section: Discussionmentioning

confidence: 99%

Assessing the vulnerability of Australia’s urban forests to climate extremes

Esperón-Rodríguez

Power

Tjoelker

et al. 2019

Plants People Planet

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“…The photosynthesis rate increases with the increase in sunlight intensity until it reaches its Light Saturation Point (LSP) stops. Therefore, the landscape plant can be divided into the heliophilic plants, shade-tolerant plants and shade-loving plants based on the requirements of landscape plants for light intensity (Wei & Huang, 2015).…”

Section: Sunlight Intensity and Landscape Plantsmentioning

confidence: 99%

Plant Species Selection and Community Configuration for Residential Areas Based on the Digital Technology

Wei

Jiang

2020

JEE

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Sunshine is a key ecological factor for plant growth, development, reproduction and their community stability. The SOLWEIG model combined with ArcGIS and, AutoCAD software as a digital platform was used in this paper, and which focus on sunshine duration simulation by these digital technologies. Results show that the maximum sunshine duration is 10 hours, the minimum sunshine duration is 0 hours, and the average is about 4 hours in the sample points of the study area. The order from high to low is N>D>F>B>E>G>K>C>A>L>M (patches of planting area) in sunshine duration, the average highest value is 6 hours and the lowest is 1.6 hours for the 11 greening patches in this study. These results also indicate that the building height and layout is the major factor of influence in the change of sunshine hours when other parameters are stable. On this basis, the research combined with the standard system of sunshine requirements of landscape plants, an empirical analysis of plant selection and community configuration to show through a case of Tongxiang city in Zhejiang province, China. The value of this research is to provide a theoretical method for plant selection and community configuration in urban built-up areas.

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“…In the comprehensive evaluation model for solar radiation, our research adopted the model of photoelectric potential evaluation, which is commonly used in Europe and Africa [20,30]. The model is expressed as:…”

Section: Expression Of the Solar Radiation Modelmentioning

confidence: 99%

“…The major issue in the community structure design of landscape plants is to configure the upper tree, middle shrub, and lower groundcover plants [20]. The design method for the landscape plant community is mainly based on the conceptual model, as described in Figure 11.…”

Section: Decision-making For the Plant Communitymentioning

confidence: 99%

“…In order to solve the practical problems raised in the previous research, there are four specific models were developed based on the photoelectric potential model combined with the Solar Analyst tool in our research [20,30,46], which provides decision-making for the four common types of landscape plants in the study areas (Figure 1). In fact, the phenology of many plants, such as deciduous leaves, is often influenced by other ecological factors and is not strictly seasonal in different regions.…”

Section: Application Of the Solar Radiation Model In Up-dssmentioning

confidence: 99%

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A Decision Support System for Plant Optimization in Urban Areas with Diversified Solar Radiation

Wei

Huang

2017

Sustainability

Self Cite

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Sunshine is an important factor which limits the choice of urban plant species, especially in environments with high-density buildings. In practice, plant selection and configuration is a key step of landscape architecture, which has relied on an experience-based qualitative approach. However, the rationality and efficiency of this need to be improved. To maintain the diversity of plant species and to ensure their ecological adaptability (solar radiation) in the context of sustainable development, we developed the Urban Plants Decision Support System (UP-DSS) for assisting plant selection in urban areas with diversified solar radiation. Our methodology mainly consists of the solar radiation model and calibration, the urban plant database, and information retrieval model. The structure of UP-DSS is also presented at the end of the methodology section, which is based on the platform of Geographic Information Systems (GIS) and Microsoft Excel. An application of UP-DSS is demonstrated in a residential area of Wuhan, China. The results show that UP-DSS can provide a very scientific and stable tool for the adaptive planning of shade-tolerant plants and photoperiod-sensitive plants, meanwhile, it also provides a specific plant species and the appropriate types of plant community for user decision-making according to different sunshine radiation conditions and the designer's preferences.

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From Experience-Oriented to Quantity-Based: A Method for Landscape Plant Selection and Configuration in Urban Built-Up Areas

Cited by 7 publications

References 57 publications

Assessing the vulnerability of Australia’s urban forests to climate extremes

Assessing the vulnerability of Australia’s urban forests to climate extremes

Plant Species Selection and Community Configuration for Residential Areas Based on the Digital Technology

A Decision Support System for Plant Optimization in Urban Areas with Diversified Solar Radiation

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