Integrating Tree Species Identity and Diversity in Particulate Matter Adsorption

0556659 - ÚVGZ 2023 RIV CH eng J - Článek v odborném periodiku
Steinparzer, M. - Haluza, D. - Godbold, Douglas
Integrating Tree Species Identity and Diversity in Particulate Matter Adsorption.
Forests. Roč. 13, č. 3 (2022), č. článku 481. E-ISSN 1999-4907
Grant CEP: GA MŠMT(CZ) LO1415
Institucionální podpora: RVO:86652079
Klíčová slova: leaf-area index * air-pollution * urban trees * accumulation * deposition * vegetation * efficiency * particles * rainfall * forest * leaf area index * particulate matter * Dr * Forest * public health * air quality * biodiversity
Obor OECD: Forestry
Impakt faktor: 2.9, rok: 2022
Způsob publikování: Open access
https://www.mdpi.com/1999-4907/13/3/481

The amount of PM bound by tree canopies depends on leaf traits, but also the leaf area available, both of which are dependent on tree identity. We investigated four species (Acer platanoides L., Tilia cordata Mill., Quercus robur L., Carpinus betulus L.) grown in monocultures and in two and four species polycultures. The amount of PM on the leaves of these species was determined by washing and fractionation of the PM into PM2.5, PM10 and PM100 size classes using a filtering method. The leaf area index was estimated by litter collection. The amount of PM2.5 per m(2) leaf area was significantly higher in T. cordata compared to Q. robur and A. platanoides, and in C. betulus compared to A. platanoides. The leaf area index in monocultures was similar for all species except T. cordata which was considerably lower. Overyielding of LAI was shown in the two species polyculture of T. cordata and A. platanoides, and also in the four species polyculture. In polyculture, higher amounts of PM were determined in the two species polyculture of Q. robur and C. betulus and also in the four species polyculture. The result show that both tree identity and mixture influence the amount of PM in the canopy, and this is related to tree leaf traits, and also to overyielding of LAI in the polyculture.
Trvalý link: http://hdl.handle.net/11104/0330875