2009
DOI: 10.3832/ifor0481-002
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QA/QC activities and ecological monitoring in the Acid Deposition Monitoring Network in East Asia (EANET)

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Cited by 4 publications
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“…A part of the presentations during these sessions has been included in this special is sue of iForest -Biogeosciences and Foresty and summarizes key studies on potential and actual impacts of air pollution and climate change on forests. The themes are centered around the following topics of global import ance: linking critical thresholds and loads (Augustin 2009, Wuyts et al 2009) to forest condition, tree reactions to air pollution and climate change (Beck 2009, Serafinaviciute & Stakenas 2009), assessment of biod iversity (Feest & Spanos 2009), long-term monitoring of deposition and integrated effects (Lorenz & Granke 2009, Lundin 2009), modelling carbon budgets, deposition loads and ozone fluxes (Jochheim et al 2009, Staelens et al 2009, Tuovinen 2009), monitoring policy and in struments (Johannessen 2009, Requardt et al 2009, Logan et al 2009), and quality assur ance and control activities for ecological monitoring (Sase et al 2009). …”
mentioning
confidence: 99%
“…A part of the presentations during these sessions has been included in this special is sue of iForest -Biogeosciences and Foresty and summarizes key studies on potential and actual impacts of air pollution and climate change on forests. The themes are centered around the following topics of global import ance: linking critical thresholds and loads (Augustin 2009, Wuyts et al 2009) to forest condition, tree reactions to air pollution and climate change (Beck 2009, Serafinaviciute & Stakenas 2009), assessment of biod iversity (Feest & Spanos 2009), long-term monitoring of deposition and integrated effects (Lorenz & Granke 2009, Lundin 2009), modelling carbon budgets, deposition loads and ozone fluxes (Jochheim et al 2009, Staelens et al 2009, Tuovinen 2009), monitoring policy and in struments (Johannessen 2009, Requardt et al 2009, Logan et al 2009), and quality assur ance and control activities for ecological monitoring (Sase et al 2009). …”
mentioning
confidence: 99%