Comprehensive assessment of pine needles as bioindicators of PAHs using multivariate analysis. The importance of temporal trends.
The importance of the annual and seasonal trends associated to the polycyclic aromatic hydrocarbons (PAHs) biomonitoring by pine needles are studied with a comprehensive use of univariate and multivariate analysis tools. For this purpose, four pine needle sampling campaigns (winter, spring, summer and autumn 2007) were carried out in 29 sites from Portugal. Needles from Pinus pinaster Ait. and Pinus pinea L. trees were collected from all year-classes available in each tree, corresponding to the different shoots of needles coming out every spring and the results of both species were treated separately. Annual trends of polycyclic aromatic hydrocarbons (PAHs) contamination indicate a general increase from the least to the most exposed year-classes, for all seasons. The mean values for the sum of 16PAHs ranged from 71 ± 33 ngg(-1) (dry weight - dw) for new year (2007) needles in the summer to 514 ± 317 ngg(-1) (dw) for 2-year needles (2005) in the spring for P. pinea, and between 90 ± 50 ngg(-1) (dw) for new year (2007) needles in the summer and 1212 ± 436 ngg(-1) (dw) for 3-year needles (2004) in summer for P. pinaster. The seasonal evolution shows the highest concentrations in the winter, then declining to the lowest levels in the summer and rising again from summer to autumn. Principal component analysis confirmed differences between seasons and needle year-classes, more visible for P. pinea samples. The cooler seasons have more affinity towards the lighter more abundant PAHs, as do the older needles. Differences between both pine species are also evident.
Ratola
Nuno
N
LEPAE, Departamento de Engenharia Química, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal. nrneto@fe.up.pt
Amigo
José Manuel
JM
Alves
Arminda
A
D004784:Environmental Monitoring / Q000379:methods*; D004785:Environmental Pollutants / Q000032:analysis*; D004787:Environmental Pollution / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D028223:Pinus / Q000737:chemistry*; D018515:Plant Leaves / Q000737:chemistry*; D011084:Polycyclic Aromatic Hydrocarbons / Q000737:chemistry*; D012621:Seasons; D013995:Time
D004785:Environmental Pollutants; D011084:Polycyclic Aromatic Hydrocarbons