Involving School Children in the Establishment of a Long-Term Plant Biodiversity Study of an Urban Green Space

2006 ◽  
Vol 68 (4) ◽  
pp. 213-220
Author(s):  
Sylvia Almeida ◽  
Ruth Bombaugh ◽  
Tarun K. Mal
Keyword(s):  
School Children ◽  
Green Space ◽  
Urban Green Space ◽  
Plant Biodiversity ◽  
Urban Green ◽  
Biodiversity Study

The long-term prospects of citizens managing urban green space: From place making to place-keeping?

2017 ◽  
Vol 26 ◽  
pp. 78-84 ◽  
Author(s):  
T.J.M. Mattijssen ◽  
A.P.N. van der Jagt ◽  
A.E. Buijs ◽  
B.H.M. Elands ◽  
S. Erlwein ◽  
...  
Keyword(s):  
Green Space ◽  
Urban Green Space ◽  
Place Making ◽  
Urban Green

scholarly journals Sustainable Design in Urban Green Space

2020 ◽  
Author(s):  
Ning Li ◽  
Yang Liu
Keyword(s):  
Energy Consumption ◽  
Environmental Impacts ◽  
Plant Community ◽  
Plant Communities ◽  
Green Space ◽  
Urban Green Space ◽  
Urban Green ◽  
Urban Function ◽  
Term Maintenance

As a fundamental part of the urban function, urban green space faced a long-term maintenance requirement. The maintenance of urban green space (i.e., trimming, irrigation, fertilization, pesticide, and plant waste removal) can have environmental impacts, such as energy consumption and greenhouse gas (GHG) emission. This chapter focuses on the adjustment of the plant communities’ combinations in urban green space to reduce the environmental impacts in long-term maintenance. The plant communities in urban green spaces are a combination of four plant layers: woodland, shrubs, herbicides, and grassland. In this chapter, we will start to investigate the environmental impacts in the maintenance of urban green space. Then we introduced the quantitative method life cycle assessment (LCA), to quantify the environmental impacts of the maintenance tasks. We analyzed the maintenance environmental impact (MEI) index of 95 plant community samples (20 m × 20 m) in Zhengzhou (China) through LCA and sorted out the changing curves of the MEI index during the change of the combined amount in each plant layers. Finally, we sorted out the MEI strength of the plant layers and summarized the low MEI plant community model. The low MEI model can save energy consumption and GHG emissions of the maintenance tasks, to contribute to the sustainable development of the urban green space.

Patterns and its Disaster Shelter of Urban Green Space in Mining Cities: Empirical Evidence from Jiaozuo City, China

2013 ◽  
Vol 295-298 ◽  
pp. 2510-2514
Author(s):  
Yan Tong ◽  
Hua Lin
Keyword(s):  
Empirical Evidence ◽  
Green Space ◽  
Urban Green Space ◽  
Disaster Prevention ◽  
Space System ◽  
Strong Function ◽  
Urban Green ◽  
Composition And Structure ◽  
Per Capita

Urban green space system has a strong function of disaster prevention and reduction. In this paper, taking Jiaozuo as an example, the composition and structure of urban green space with its disaster shelter space is studied. The per capita area of medium and long-term shelters in urban green space of Jiaozuo raise from 5.60 m2 to11.34 m2 during 1999 and 2007.It is far exceed the basic average level. The per capita green space temporary shelters shows rise-decline trend. Firstly from 1.84 m2 in 1999 rise to 3.55 m2, 3.24 m2 in 2003 and 2005, then gradually descend 2.80 m2 in 2007.It basically above the basic per capita green space for temporary shelter area. Per capita green space of emergency shelter presents the process of gradually declining, its per capita area from 2.61 m2 in 1999 gradually decline to 0.98 m2 in 2007, which are under the warning line of 1.2 m2 .

scholarly journals Evaluation of the Equity and Regional Management of Some Urban Green Space Ecosystem Services: A Case Study of Main Urban Area of Xi’an City

Forests ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 813
Author(s):  
Hui Dang ◽  
Jing Li ◽  
Yumeng Zhang ◽  
Zixiang Zhou
Keyword(s):  
Ecosystem Services ◽  
Carbon Sequestration ◽  
Urban Areas ◽  
Green Space ◽  
Well Being ◽  
Urban Green Space ◽  
Green Spaces ◽  
Deposition Flux ◽  
Urban Green ◽  
Xi’An City

Urban green spaces can provide many types of ecosystem services for residents. An imbalance in the pattern of green spaces leads to an inequality of the benefits of such spaces. Given the current situation of environmental problems and the basic geographical conditions of Xi’an City, this study evaluated and mapped four kinds of ecosystem services from the perspective of equity: biodiversity, carbon sequestration, air purification, and climate regulation. Regionalization with dynamically constrained agglomerative clustering and partitioning (REDCAP) was used to obtain the partition groups of ecosystem services. The results indicate that first, the complexity of the urban green space community is low, and the level of biodiversity needs to be improved. The dry deposition flux of particulate matter (PM2.5) decreases from north to south, and green spaces enhance the adsorption of PM2.5. Carbon sequestration in the south and east is higher than that in the north and west, respectively. The average surface temperature in green spaces is lower than that in other urban areas. Second, urban green space resources in the study area are unevenly distributed. Therefore, ecosystem services in different areas are inequitable. Finally, based on the regionalization of integrated ecosystem services, an ecosystem services cluster was developed. This included 913 grid spaces, 12 partitions, and 5 clusters, which can provide a reference for distinct levels of ecosystem services management. This can assist urban managers who can use these indicators of ecosystem service levels for planning and guiding the overall development pattern of green spaces. The benefits would be a maximization of the ecological functions of green spaces, an improvement of the sustainable development of the city, and an improvement of people’s well-being.

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