
Pinus sylvestris and Picea abies canopy effects on deposition of air pollutants
Valentinas Černiauskas, Iveta Varnagirytė-Kabašinskienė, Valda Araminienė, Vidas Stakėnas
Journal of Forestry Research ›› 2024, Vol. 35 ›› Issue (1) : 75.
Pinus sylvestris and Picea abies canopy effects on deposition of air pollutants
Tree canopies influence atmospheric pollutant depositions depending on type, ecosystem characteristics, and local climatic conditions. This study investigated the impact of Pinus sylvestris L. and Picea abies (L.) H. Karst., and a mixture of both, on the chemical composition of precipitation. Three permanent plots within the ICP forest level II monitoring network in Lithuania were selected to illustrate typical hemiboreal coniferous forests. The study analysed (1) the concentrations of NO2, NH3 and SO2 in the ambient air; (2) the concentrations of SO4 2−, NO3 −, NH4 +, Na+, K+, Ca2+ and Cl– in throughfall beneath canopies and in precipitation collected in an adjacent field, and (3) S and total N, Na+, K+, Ca2+ and Cl− depositions in throughfall and precipitation over 2006–2022. Results show a significant decrease in SO2 emissions in the ambient air; NO2 and NH3 emissions also decreased. The canopies reduced the acidity of throughfall, although they led to notably higher concentrations of SO4 2−, NO3 −, Na+, and particularly K+. During the study, low variability in NO3 – deposition and a decrease in NH4 + deposition occurred. Deposition loads increased by 20–30% when precipitation passed through the canopy. The cumulative deposition of S, Cl, Na, K, Ca, and N was greater under P. abies than under P. sylvestris. However, K deposition in throughfall was considerably lower under P. sylvestris compared to the P. abies or mixed stand. Throughfall S depositions declined across all three coniferous plots. Overall, there was no specific effect of tree species on throughfall chemistry.
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Bobbink R, Braun S, Nordin A, Power S, Schütz K, Strengbom J, Weijters M, Tomassen H (2011) Review and revision of empirical critical loads and dose-response relationships. In: Proceedings of an expert workshop, Noordwijkerhout, 2325 National Institute for Public Health and the Environment. Bilthoven Netherlands. https://rivm.openrepository.com/bitstream/handle/10029/260510/680359002.pdf?sequence=3&isAllowed=y [assessed on 27.01.2024]
|
|
|
|
|
Clarke N, Žlindra D, Ulrich E, Mosello R, Derome J, Derome K, König N, Lövblad G, Draaijers GPJ, Hansen K, Thimonier A, Waldner P (2016) Part XIV: Sampling and analysis of deposition. In: UNECE ICP Forests Programme Co-ordinating Centre (ed.): Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen Institute of Forest Ecosystems Eberswalde Germany 32 p. http://www.icpforests.org/Manual.htm [assessed on 24.11.2023]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Galvonaitė A, Valiukas D, Kilpys J, Kitrienė Z, Misiūnienė M (2013) Lietuvos klimato atlasas [Lithuanian climate atlas]. Lietuvos hidrometeorologijos tarnyba prie Aplinkos ministerijos [Lithuanian Hydrometeorological Service under the Ministry of Environment]: Vilnius, Lietuva. (In Lithuanian)
|
|
|
|
|
IUSS Working Group WRB (2015) World Reference Base for Soil Resources 2014 update 2015 International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No 106 FAO Rome
|
|
|
|
|
Michel AK, Kirchner T, Prescher AK, Schwärzel K (2022) Forest Condition in Europe: The 2022 Assessment. ICP Forests Technical Report under the UNECE Convention on Long-range Transboundary Air Pollution (Air Convention). Eberswalde: Thünen Institute https://doi.org/10.3220/ICPTR1656330928000 [assessed on 24.11.2023]
|
|
Pohlert T (2023) Non-parametric trend tests and change-point detection. https://cran.r-project.org/web/packages/trend/vignettes/trend.pdf [assessed on 24.11.2023]
|
|
|
|
Schaub M, Calatayud V, Ferretti M, Brunialti G, Lövblad G, Krause G, Sanz MJ (2016) Part XV: Monitoring of air quality. In: UNECE ICP Forests Programme Co-ordinating Centre (ed.): Manual on methods and criteria for harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen Institute of Forest Ecosystems Eberswalde Germany 11 p
|
|
|
|
Slootweg J, Posch M, Hettelingh JP (2016) Modelling and mapping the impacts of atmospheric deposition of nitrogen and sulphur: CCE Status Report 2015 [The Coordination Centre for Effects, CCE: www.wge-cce.org]. National Institute for Public Health and the Environment. The Netherlands, 186 p. https://www.umweltbundesamt.de/sites/default/files/medien/4038/dokumente/2_cce_sr2015.pdf [assessed 27.01.2024]
|
State Forest Service (2022) Lithuanian forestry statistics 2021 https://amvmt.lrv.lt/uploads/amvmt/documents/files/Statistika/MiskuStatistika/2021/01%20Misku%20ukio%20statistika%202021_m.pdf [assessed on 24.11.2023]
|
|
|
Vaičys M, Karazija S, Kuliešis A, Rutkauskas A (2006) Miškų augavietės. Miško augaviečių ̨tipai. [Forest sites]. Lututė, Kaunas. (In Lithuanian)
|
|
|
|
|
|
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