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TitreModeling carbon isotopes in spruce trees reproduces air quality changes due to oil sands operations
AuteurSavard, M M; Bégin, C; Marion, J
SourceEnvironmental Pollution vol. 45, 2014 p. 1-8, https://doi.org/10.1016/j.ecolind.2014.03.005
Année2014
Séries alt.Secteur des sciences de la Terre, Contribution externe 20120397
ÉditeurElsevier
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.1016/j.ecolind.2014.03.005
Mediapapier; en ligne; numérique
Formatspdf
ProvinceAlberta
SNRC74D/05; 74D/06; 74D/07; 74D/09; 74D/10; 74D/11; 74D/12; 74D/13; 74D/14; 74D/15; 74E/02; 74E/03; 74E/04; 74E/05; 74E/06; 74E/07; 74E/10; 74E/11; 74E/12
Lat/Long OENS-112.0000 -110.5000 57.7500 56.2500
Sujetsvégétation; dendrochronologie; isotopes de carbone; isotopes; études des isotopes stables; pollution; climat; fluctuations climatiques; effets climatiques; exploration pétrolière; géologie de l'environnement
Illustrationslocation maps; tables; graphs
ProgrammeDéveloppement durable des sables bitumineux, Géosciences environnementales
Résumé(disponible en anglais seulement)
Direct monitoring of air quality does not cover more than the last three decades in most industrialized countries. For that reason studies using growth-ring carbon isotopes (d13C) of several species of trees have recently investigated isotopic responses in the contexts of stationary and diffuse pollution in humid continental conditions. Here, the growth-ring d13C series (1880–2009) of spruce trees living in sub-humid subarctic conditions were measured to assess if they represent indicators for air quality changes near oil sands (OS) developments initiated in northeastern Alberta in 1967. The measured d13C pre-operation rings at two forest sites were analyzed along local climatic conditions to develop response-to-climate statistical models and predict the natural isotopic behaviour for the most recent part of the ring series. The measured trends and climate-modelled (natural) d13C values strongly depart during the operation period, depicting anomalies which can be nicely reproduced by multiple regression models combining climate and a proxy for OS airborne emissions. This research allows envisioning the use of carbon dendroisotopic indicators to compensate for the lack of long-term air quality measurement, and monitor environmental conditions in the sub-humid terrestrial ecosystem exposed to emissions from oil sands operations which are predicted to increase in the future.
GEOSCAN ID292223