Assessing Lisbon Trees' Carbon Storage Quantity, Density, and Value Using Open Data and Allometric Equations

被引:9
|
作者
Neto, Miguel de Castro [1 ]
Sarmento, Pedro [1 ]
机构
[1] Univ Nova Lisboa, NOVA Informat Management Sch, P-1070312 Lisbon, Portugal
关键词
carbon storage; urban trees; allometric equation; open data; URBAN TREES; SEQUESTRATION; BIOMASS; MODELS;
D O I
10.3390/info10040133
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Urban population has grown exponentially in recent years, leading to an increase of CO2 emissions and consequently contributing on a large scale to climate change. Urban trees are fundamental to mitigating CO2 emissions as they incorporate carbon in their biomass. It becomes necessary to understand and measure urban tree carbon storage. In this paper is studied the potential of open data to measure the quantity, density, and value of carbon stored by the seven most represented urban trees in the city of Lisbon. To compute carbon storage, the seven most represented urban tree species were selected from an open database acquired from an open data portal of the city of Lisbon. Through allometric equations, it was possible to compute the trees' biomass and calculate carbon storage quantity, density, and value. The results showed that the tree species Celtis australis is the species that contributes more to carbon storage. Central parishes of the city of Lisbon present higher-density values of carbon storage when compared with the border parishes despite the first ones presenting low-to-medium values of carbon storage quantity and value. Trees located in streets, present higher values of carbon storage, when compared with trees located in schools and green areas. Finally, the potential usage of this information to build a decision-support dashboard for planning green infrastructures was demonstrated.
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页数:16
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