Urban greening based on the supply and demand of atmospheric PM2.5 removal

Faced with various urban environmental problems, cities are implementing greening plans to satisfy the demands of residents for a more habitable environment. Because the relationship between the supply and demand of ecosystem services (ESs) often changes spatially and seasonally, identifying the pri...

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Autores principales:	Rui Zhang, Guojian Chen, Zhe Yin, Yuxin Zhang, Keming Ma
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Urban forestry Scenario analysis Ecosystem service Evergreen greening Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/cf38c1bbf6e94d5fb6c43e5635011b92
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id	oai:doaj.org-article:cf38c1bbf6e94d5fb6c43e5635011b92
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spelling	oai:doaj.org-article:cf38c1bbf6e94d5fb6c43e5635011b922021-12-01T04:51:34ZUrban greening based on the supply and demand of atmospheric PM2.5 removal1470-160X10.1016/j.ecolind.2021.107696https://doaj.org/article/cf38c1bbf6e94d5fb6c43e5635011b922021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21003617https://doaj.org/toc/1470-160XFaced with various urban environmental problems, cities are implementing greening plans to satisfy the demands of residents for a more habitable environment. Because the relationship between the supply and demand of ecosystem services (ESs) often changes spatially and seasonally, identifying the priority space and suitable species for greening are critical. Taking the removal of particulate matter less than 2.5 µm (PM2.5) in Beijing, China, as an example, a Greening Demand Index was proposed by combining seasonal nongreen coverage, PM2.5 concentration, and population density. The results show that, the greening demand (GD) increases along the suburban-urban gradient and is higher in the impervious areas than in other land-cover types. Without considering the seasonal variation in ES supply and demand, the GD will be underestimated in areas with deciduous vegetation coverage. On the one hand, demand comes from scarcity, and on the other hand, demand also comes from inequity. To alleviate the urban-suburban greening demand difference (GDD), greening in impervious areas is the key. To alleviate the seasonal GDD, evergreen greening in the forest and impervious areas is crucial. Forest evergreen greening, which has often been overlooked in the past, should also be considered. Three tree planting scenarios with different species compositions were simulated to evaluate the effects on PM2.5 and green distribution. The results indicate that evergreen trees are more efficient in removing atmospheric PM2.5 and are indispensable in alleviating the seasonal variation in PM2.5 concentration and the spatiotemporally uneven distribution of green. Therefore, they are recommended for greening. This research will provide help for establishing tree planting schemes in urban areas.Rui ZhangGuojian ChenZhe YinYuxin ZhangKeming MaElsevierarticleUrban forestryScenario analysisEcosystem serviceEvergreen greeningEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107696- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Urban forestry Scenario analysis Ecosystem service Evergreen greening Ecology QH540-549.5
spellingShingle	Urban forestry Scenario analysis Ecosystem service Evergreen greening Ecology QH540-549.5 Rui Zhang Guojian Chen Zhe Yin Yuxin Zhang Keming Ma Urban greening based on the supply and demand of atmospheric PM2.5 removal
description	Faced with various urban environmental problems, cities are implementing greening plans to satisfy the demands of residents for a more habitable environment. Because the relationship between the supply and demand of ecosystem services (ESs) often changes spatially and seasonally, identifying the priority space and suitable species for greening are critical. Taking the removal of particulate matter less than 2.5 µm (PM2.5) in Beijing, China, as an example, a Greening Demand Index was proposed by combining seasonal nongreen coverage, PM2.5 concentration, and population density. The results show that, the greening demand (GD) increases along the suburban-urban gradient and is higher in the impervious areas than in other land-cover types. Without considering the seasonal variation in ES supply and demand, the GD will be underestimated in areas with deciduous vegetation coverage. On the one hand, demand comes from scarcity, and on the other hand, demand also comes from inequity. To alleviate the urban-suburban greening demand difference (GDD), greening in impervious areas is the key. To alleviate the seasonal GDD, evergreen greening in the forest and impervious areas is crucial. Forest evergreen greening, which has often been overlooked in the past, should also be considered. Three tree planting scenarios with different species compositions were simulated to evaluate the effects on PM2.5 and green distribution. The results indicate that evergreen trees are more efficient in removing atmospheric PM2.5 and are indispensable in alleviating the seasonal variation in PM2.5 concentration and the spatiotemporally uneven distribution of green. Therefore, they are recommended for greening. This research will provide help for establishing tree planting schemes in urban areas.
format	article
author	Rui Zhang Guojian Chen Zhe Yin Yuxin Zhang Keming Ma
author_facet	Rui Zhang Guojian Chen Zhe Yin Yuxin Zhang Keming Ma
author_sort	Rui Zhang
title	Urban greening based on the supply and demand of atmospheric PM2.5 removal
title_short	Urban greening based on the supply and demand of atmospheric PM2.5 removal
title_full	Urban greening based on the supply and demand of atmospheric PM2.5 removal
title_fullStr	Urban greening based on the supply and demand of atmospheric PM2.5 removal
title_full_unstemmed	Urban greening based on the supply and demand of atmospheric PM2.5 removal
title_sort	urban greening based on the supply and demand of atmospheric pm2.5 removal
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/cf38c1bbf6e94d5fb6c43e5635011b92
work_keys_str_mv	AT ruizhang urbangreeningbasedonthesupplyanddemandofatmosphericpm25removal AT guojianchen urbangreeningbasedonthesupplyanddemandofatmosphericpm25removal AT zheyin urbangreeningbasedonthesupplyanddemandofatmosphericpm25removal AT yuxinzhang urbangreeningbasedonthesupplyanddemandofatmosphericpm25removal AT kemingma urbangreeningbasedonthesupplyanddemandofatmosphericpm25removal
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Urban greening based on the supply and demand of atmospheric PM2.5 removal

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