Monthly air chemical data in a European beech forest (Fagus sylvatica) in Navarra (Spain) from 2008 to 2023
This dataset contains monthly air chemistry observations within the European monitoring network ICP-IM (“International Co-operative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems”) from 2008 to 2023. In this program, Navarra is an important monitoring location since the sample-plot situated at "Señorio de Bertiz Natural Park" is the only monitoring point in Spain (ES02). Specifically, this plot is a European beech forest (Fagus sylvatica) located in an oceanic climate zone, characterised by mild temperatures and constant rainfall throughout the year.
These collaborative programs have been developed to address issues such as air pollution and climate change. In recent decades, ozone has become one of the most significant pollutants due to its harmful effects on human health and vegetation. Therefore, the aim of this dataset is to provide long-term data on ozone exposure, enabling scientists to detect and analyze trends related to climate change over extended periods.
Thus, this dataset collects information on ozone (O3, µg/m³), a mandatory parameter of the ICP-IM program. The monitoring process is explained in the guide provided by the programme, resulting in a dataset with monthly resolution for two different forest plots. In each plot, samples are collected at two points, which are then analyzed in the laboratory according to the 'Passam' protocol. This protocol explains the procedure for quantifying ozone collected by passive dosimeters, the ones used in this monitoring and based on UV-Visible spectrophotometry.
It is important to note that, to ensure high quality data, rigorous quality processes (QA/QC) are included both in the field and in the laboratory. Also, after the ozone values are collected, the data go through an automated process to check if they exceed the detection limit. Consequently, there may be months where no data is available.
Default
Identification
- Alternate Identifier
-
8214f9eb-dd8a-4486-9327-c129982b24cf
- Publication Date
- 2024-09-30
- Title
-
Monthly air chemical data in a European beech forest (Fagus sylvatica) in Navarra (Spain) from 2008 to 2023
- Abstract
-
This dataset contains monthly air chemistry observations within the European monitoring network ICP-IM (“International Co-operative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems”) from 2008 to 2023. In this program, Navarra is an important monitoring location since the sample-plot situated at "Señorio de Bertiz Natural Park" is the only monitoring point in Spain (ES02). Specifically, this plot is a European beech forest (Fagus sylvatica) located in an oceanic climate zone, characterised by mild temperatures and constant rainfall throughout the year.
These collaborative programs have been developed to address issues such as air pollution and climate change. In recent decades, ozone has become one of the most significant pollutants due to its harmful effects on human health and vegetation. Therefore, the aim of this dataset is to provide long-term data on ozone exposure, enabling scientists to detect and analyze trends related to climate change over extended periods.
Thus, this dataset collects information on ozone (O3, µg/m³), a mandatory parameter of the ICP-IM program. The monitoring process is explained in the guide provided by the programme, resulting in a dataset with monthly resolution for two different forest plots. In each plot, samples are collected at two points, which are then analyzed in the laboratory according to the 'Passam' protocol. This protocol explains the procedure for quantifying ozone collected by passive dosimeters, the ones used in this monitoring and based on UV-Visible spectrophotometry.
It is important to note that, to ensure high quality data, rigorous quality processes (QA/QC) are included both in the field and in the laboratory. Also, after the ozone values are collected, the data go through an automated process to check if they exceed the detection limit. Consequently, there may be months where no data is available.
- Dataset Language
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eng
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Contact
- Keywords (ozone (http://vocabs.lter-europe.net/EnvThes/20853))
-
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environmental monitoring ( http://vocabs.lter-europe.net/EnvThes/21335)
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ICP IM
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forest
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forest monitoring
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air chemistry
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ozone
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climatology
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atmosphere
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chemical substance ( http://vocabs.lter-europe.net/EnvThes/20748)
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environmental analysis ( http://vocabs.lter-europe.net/EnvThes/20209)
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field experiment ( http://vocabs.lter-europe.net/EnvThes/20222)
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long term monitoring ( http://vocabs.lter-europe.net/EnvThes/21337)
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forest ecosystem ( http://vocabs.lter-europe.net/EnvThes/21829)
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Geographic Coverage
- Geographic Description
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Site ES02-Señoría de Bertiz, Navarra (Spain)
Bounding Box
- West Bounding Coordinate
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1º 38’1.89’’W
- East Bounding Coordinate
- North Bounding Coordinate
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43º 9’32.82’’ N
- South Bounding Coordinate
Temporal Coverage
Range of Dates
- Begin Date
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2007-04-01
- End Date
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2023-12-01
Taxonomic Coverage
Taxonomic Classification
- Taxonomic Rank Name
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Species
- Taxonomic Rank Value
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Fagus sylvatica L.
- Common Name
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European beech
- Taxon ID
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ITIS:TSN 502590
License Information
- Intellectual Rights
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This data package is released to the CC BY-ND 4.0 domain under Creative Commons Attribution-NoDerivatives 4.0 International
Resource License
- License Name
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Creative Common BY-ND 4.0
Distribution
Online
- A brief description of the the content of online URL.
-
DOI
Project
• Project
- Title
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International Cooperative Programme on Integrated Monitoring of Air Pollution Effects on Ecosystems (ICP IM)
- Abstract
-
Over a period of about 15 years, the BIOMA Institute has participated in numerous European forest monitoring networks. As mentioned, one of this programmes is the ICP Integrated Monitoring Programme, part of the effect-oriented activities under the 1979 Convention on Long-range Transboundary Air Pollution (LRTAP), which covers the region of the United Nations Economic Commission for Europe (UNECE). ICP IM belongs to a group of six specialist ICP Programmes (ICPs) which have been set up under the LRTAP Convention's Working Group on Effects to look at relevant receptors and environmental issues.
The ICP IM monitored sites are plots located in natural or semi-natural areas, and the aim is the simultaneous measure of physical, chemical and biological properties of the ecosystems over time. The monitoring of these locations is divided into a number of compartmental subprogrammes which are linked by the use of the same parameters (cross-media flux approach) and/or same/close stations (cause-effect approach). The dataset belong to the Air Chemistry sub-programme (AC), which gives important information for assessing the impact of air pollutants on the ecosystem due to long-range atmospheric transport. This information is essential because of the direct and indirect interactions of gases and aerosols with the vegetation, which negatively impact the forest ecosystems.
In particular, due to the known impact of ozone on human health and vegetation, the measurement of ozone is one of the mandatory parameters within the AC sub-programme. Therefore, this dataset includes 15 years (2008-2023) of ozone (O3) quantification in two sample-plots within a beech forest (Fagus sylvatica) in Navarre (Spain), with a monthly resolution.The way of sampling is the one recommended by the subprogramme (EMEP: https://projects.nilu.no/ccc/manual/), and laboratory analysis and cuantification is carried out according to the "Passam protocol". This protocol explains the standard operating procedure for the determination of ozone by the use of UV-visible spectrophotometry from passive passam dosimeters.
In conclusion, the main objective of this subprogramme is to perform long-term monitoring of the most damaging pollutants in forest ecosystems through as many diverse ecosystems in the European region as possible. And by studying these time series we could understand how these pollutants affect forests, which would help us to make better decisions to improve their health.
Personnel
- Organization Name
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BIOMA Institute for Biodiversity and the Environment - University of Navarra
Individual Name
- Given Name
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David
- Surname
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Elustondo
- Position Name
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Principal Researcher
Personnel
- Organization Name
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BIOMA Institute for Biodiversity and the Environment - University of Navarra
Individual Name
- Given Name
-
Maria Esther
- Surname
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Lasheras
- Position Name
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Researcher
Personnel
- Organization Name
-
BIOMA Institute for Biodiversity and the Environment - University of Navarra
Individual Name
- Given Name
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Lorea
- Surname
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Perez
- Position Name
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Research Technician
Methods
• Method
Method Step
- Description
-
The special siting criteria is described by EMEP (EMEP: https://projects.nilu.no/ccc/manual/). In order to monitor long-range transboundary air pollution, the AC site must be representative with respect to exposure to the air mass, i. e. deep valleys, mountain tops and passes should be avoided. The ideal is a freely exposed site in moderately undulating terrain. The air inlet should be 2 - 5 m above ground and the AC site should not be sheltered by vegetation, but located in a large open glade or a large clearing.
The UV-absorption method using a continuous ambient air ozone analyser has been proven to be reliable and robust in field operation (EMEP, Chapter 3.9.1). Therefore, it is recommended for ozone measurements at IM sites as described in the EMEP manual.
Instrumentation
- Instrument
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Passam dosimeters for ozone
Method Step
- Description
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It is recommended that the chemical laboratory is accredited under one of the laboratory accreditation systems, or is performing close to these standards. The laboratory must check on its performance, with respect to detection limits, precision and repeatability by repeated analysis of control solutions. The general procedures for quality assurance given by EMEP should be followed, and the QA/QC procedures should be included in all parts of the activities performed at the site and in the laboratory.
Standard work procedures should be followed for all activities, and in particular for this dataset, the processes described in the passam protocol are applied. The QA/QC routines in laboratory also include field blanks and control samples. After laboratory processes, automation scripts have been developed to optimize quality control and the export of relevant data. These scripts help identify samples that do not pass QA/QC procedures and ensure the data are formatted according to our requirements.
Software
- Title
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Python
- Version
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v3
Sampling
- Study Extent
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Ozone should be monitored continuously and hourly average values should be stored. In this dataset, the collected values are calculated monthly by averaging all the corresponding data.
- Sampling Description
Data Tables
• Data Table
- Name
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Historical_AirChemistry
Physical
Data Format
Externally Defined Format
- Format Name
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csv: comma separated values
Attribute List
Attribute
- Name
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sampleID
- Label
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Identification of the sample-point
- Definition
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Unique identifier for the sampling point
Attribute
- Name
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ScodeICPIM
- Label
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Code of the sample-point
- Definition
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Unique code for the sampling point.
Attribute
- Name
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PlotCode
- Label
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Plot or site code
- Definition
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Code for the general plot where the different samples are collected, belonging to one of the locations in the ICP IM program.
Attribute
- Name
-
SiteName
- Label
-
Plot or site name
- Definition
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Name for the general plot where the different samples are collected, belonging to one of the locations in the ICP IM program.
Attribute
- Name
-
YearDate
- Label
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Sampling year
- Definition
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Year in which the sample was made.
- Standard Unit
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number
Attribute
- Name
-
MonthDate
- Label
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Sampling month
- Definition
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Month in which the sample was made.
- Standard Unit
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number
Attribute
- Name
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O3(µg/m3)
- Label
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Ozone cuantification
- Definition
-
Ozone cuantification in micrograme per cubic meter.
Missing Value Code
- Code
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empty
- Explanation
-
If this attribute is empty, it means that the value for that sample on that date has not been collected.
Missing Value Code
- Code
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<
- Explanation
-
If the value of the attribute is ‘<’, it means that the data has not passed quality control.
Measurement Scale
- Measurement Type
-
interval
Annotation
- Property URI
- http://vocabs.lter-europe.net/EnvThes/20748