A prototype decision support system for sustainable urban tree planting programs

Kirnbauer, Margaret C.; Kenney, W. A.; Churchill, Cameron J.; Baetz, Brian W.

doi:10.1016/j.ufug.2008.11.002

Cited by 24 publications

(14 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…buildings, roads, pavements, etc.). Saebø, Benedikz, and Randrup (2003) placed the emphasis on the physiological features of trees for the selection of tree species while Thaiutsa et al (2008) stressed the environmental and climatic conditions of an urban area as selection criteria for suitable street trees because these features are beyond the control of urban forest managers (Kirnbauer, Kenney, Churchill, & Baetz, 2009). However, Wu, Xiao, and McPherson (2008) gave equal importance to these dichotomous criteria (environmental and climatic conditions) for the selection of tree species for increasing urban planting.…”

Section: Introductionmentioning

confidence: 99%

Density, diversity, composition and distribution of street trees in Sylhet Metropolitan City of Bangladesh

Deb

Halim

Rahman

et al. 2013

Arboricultural Journal

View full text Add to dashboard Cite

Both for environmental and aesthetic purposes, urban street trees have significant importance. In most of the developed cities, this type of plantation is an integral part of landscape planning. Nevertheless, this issue is poorly considered in the cities of developing countries. Consequently, we observe a scarcity of urban street trees. Considering this scenario, we explored the state of urban street tree planting in Sylhet City, which is a growing urban centre in Bangladesh. We assessed the density, diversity, composition and distribution of street trees in the city using different diversity computation indices (e.g. relative abundances, dominance, importance and richness, evenness and diversity) in main and link roads. We also measured the growth pattern of the trees in the study area. It was found that out of 486 studied transects in both main and link roads, 404 had no trees. Sweitenia mahagoni was the dominant species in both road categories. The Mann Whitney U test results suggest that there was no significant difference in tree density and size attributes between the road categories. From these assessments, we concluded that the diversity and distribution of street trees in the study area was very limited. Moreover, there was no scientific arboricultural consideration in species selection to increase street tree planting for the city. We conclude that only proper management and objective-specific endeavor can change the prevailing scenario of the study area.

show abstract

Section: Introductionmentioning

confidence: 99%

Density, diversity, composition and distribution of street trees in Sylhet Metropolitan City of Bangladesh

Deb

Halim

Rahman

et al. 2013

Arboricultural Journal

View full text Add to dashboard Cite

show abstract

“…Numerous studies have demonstrated that the contribution of plants to the urban environment is extensive and far-reaching, as plants play an important role in biodiversity conservation [7,8], improving microclimates [9][10][11], relieving air pollution [12,13], enhancing aesthetic value [14], and even influencing the psychological behavior of city dwellers [15,16]. However, urban managers, urban forestry and landscape scientists are more concerned with the sustainable selection and cultivation of plants [17][18][19], these core benefits not only have advantages in planting and management costs, but the eco-functions are also dependent on their survival, growth, development and reproduction [20,21].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the variation of sunshine is also very obvious in urban built-up areas, due to the buildings and terrain [31]. Therefore, for urban greening, how to select adaptive plants more intelligently based on their ecological habits has become a research focus and challenge [19,21,32,33].…”

Section: Introductionmentioning

confidence: 99%

A Digital Framework to Predict the Sunshine Requirements of Landscape Plants

et al. 2021

View full text Add to dashboard Cite

Knowledge of the sunshine requirements of landscape plants is important information for the adaptive selection and configuration of plants for urban greening, and is also a basic attribute of plant databases. In the existing studies, the light compensation point (LCP) and light saturation point (LSP) have been commonly used to indicate the shade tolerance for a specific plant; however, these values are difficult to adopt in practice because the landscape architect does not always know what range of solar radiation is the best for maintaining plant health, i.e., normal growth and reproduction. In this paper, to bridge the gap, we present a novel digital framework to predict the sunshine requirements of landscape plants. First, the research introduces the proposed framework, which is composed of a black-box model, solar radiation simulation, and a health standard system for plants. Then, the data fitting between solar radiation and plant growth response is used to obtain the value of solar radiation at different health levels. Finally, we adopt the LI-6400XT Portable Photosynthetic System (Li-Cor Inc., Lincoln, NE, USA) to verify the stability and accuracy of the digital framework through 15 landscape plant species of a residential area in the city of Wuhan, China, and also compared and analyzed the results of other researchers on the same plant species. The results show that the digital framework can robustly obtain the values of the healthy, sub-healthy, and unhealthy levels for the 15 landscape plant species. The purpose of this study is to provide an efficient forecasting tool for large-scale surveys of plant sunshine requirements. The proposed framework will be beneficial for the adaptive selection and configuration of urban plants and will facilitate the construction of landscape plant databases in future studies.

show abstract

“…Tools exist that help to better plan and manage urban forests. Kirnbauer et al (2009) presented the freely available TreeModules. The iTree (USDA, 2006) tools suite, perhaps the most comprehensive and prominent model, is used to monitor existing urban green cover, provide benefit metrics and tangibles for ecosystem services of green cover for entire urban forests or individual trees.…”

Section: Introductionmentioning

confidence: 99%

Spatially optimised tree plantings to minimise urban heat

2017

Syme, G., Hatton MacDonald, D., Fulton, B. And Piantadosi, J. (Eds) MODSIM2017, 22nd International Congress on Modelling and Si

View full text Add to dashboard Cite

There is a notable increase of "Greener City" strategies which indicates a re-discovery of the many benefits urban greenspace provides. The planning of urban green space, particularly urban forests, on a relatively large scale in a very complex multi layered urban environment is however a challenging task. Multiple benefits must be simultaneously evaluated and traded-off. Here, we present a feasibility concept which combines spatial analysis and tree architecture with concepts from operations research to spatially target planting locations. We demonstrate the concept in a highly simplified approach to reduce urban heat. Because of its prototype character and its simplified assumptions, particularly around local heat balances, we do not advocate an application of the method in current planning processes but stress the need to integrate a more sophisticated heat balance model. Though urban trees provide many other benefits such as visual amenity, recreational and health benefits and constraints such as root impacts on infrastructure exist these are presently excluded from the initial model and may be incorporated in subsequent model extensions.

show abstract

A prototype decision support system for sustainable urban tree planting programs

Cited by 24 publications

References 8 publications

Density, diversity, composition and distribution of street trees in Sylhet Metropolitan City of Bangladesh

Density, diversity, composition and distribution of street trees in Sylhet Metropolitan City of Bangladesh

A Digital Framework to Predict the Sunshine Requirements of Landscape Plants

Spatially optimised tree plantings to minimise urban heat

Contact Info

Product

Resources

About