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Tuesday, November 10. 2020![]()
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vEGU21: Gather Online | 19–30 April 2021 Session CL2.8 Phenology and seasonality in climate change Changes in seasonal timing affect species and ecosystem response to environmental change. Observations of plant and animal phenology as well as remote sensing and modeling studies document complex interactions and raise many open questions. We invite contributions with cross-disciplinary perspectives that address seasonality changes based on recent plant and animal phenological observations, pollen monitoring, historical documentary sources, or seasonality measurements using climate data, remote sensing, flux measurements or modeling studies. Contributions across all spatial and temporal scales are welcome that compare and integrate seasonality changes, study effects of long-term climate change or single extreme events, emphasize applications and phenology informed decision-making, discuss species interactions and decoupling, advance our understanding of how seasonality change affects carbon budgets and atmosphere/biosphere feedbacks, and integrate phenology into Earth System Models. We emphasize phenology informed applications for decision-making and environmental assessment, public health, agriculture and forest management, mechanistic understanding of the phenological processes, and effects of changing phenology on biomass production and carbon budgets. We also welcome contributions addressing international collaboration and program-building initiatives including citizen science networks and data analyses. This session is organized by a consortium representing the International Society of Biometeorology (Phenology Commission), the Pan-European Phenology Network - PEP 725, the Swiss Academy of Science SCNAT, the TEMPO French Phenology Network and the USA National Phenology Network. ![]() Tuesday, January 7. 2020EGU 2020 - Phenology and seasonality in climate change![]()
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EGU General Assembly 2020 - 3-8 May 2020, Vienna, Austria Session CL2.3 Phenology and seasonality in climate change ![]() We invite contributions with cross-disciplinary perspectives that address seasonality changes based on recent plant and animal phenological observations, pollen monitoring, historical documentary sources, or seasonality measurements using climate data, remote sensing, flux measurements or modeling studies. Contributions across all spatial and temporal scales are welcome that compare and integrate seasonality changes, study effects of long-term climate change or single extreme events, emphasize applications and phenology informed decision-making, discuss species interactions and decoupling, advance our understanding of how seasonality change affects carbon budgets and atmosphere/biosphere feedbacks, and integrate phenology into Earth System Models. We emphasize phenology informed applications for decision-making and environmental assessment, public health, agriculture and forest management, mechanistic understanding of the phenological processes, and effects of changing phenology on biomass production and carbon budgets. We also welcome contributions addressing international collaboration and program-building initiatives including citizen science networks and data analyses. This session is organized by a consortium representing the International Society of Biometeorology (Phenology Commission), the Pan-European Phenology Network - PEP 725, the Swiss Academy of Science SCNAT, the TEMPO French Phenology Network and the USA National Phenology Network. 22nd International Congress of Biometeorology 2020![]()
22nd International Congress of Biometeorology 2020: One Earth One Life and 8th Brazilian Congress of Biometeorology, Ambience and Welfare (8th CBBiomet).
The 22nd ICB will take place 19 – 22 July 2020 in Jaboticabal, Brazil at the São Paulo State University (UNESP) from Jaboticabal / SP - Brazil. The conference will take place in partnership with the Brazilian Congress of Biometeorology. More details can be found at https://inobio-manera.fcav.unesp.br/ One important date is the closing of abstracts - the 31st of January 2020. ![]() Tuesday, January 2. 2018Phenology 2018 Conference![]()
Dear Friends, may I rise your attention to the upcoming international Phenology Conference
![]() Phenology 2018 Conference One Planet, Two Hemispheres, Many Regions Sept 23-27 2018, Melbourne, AUSTRALIA More details can be found on the Conference Website Wednesday, October 16. 2013IPHEN - a real-time network for phenological monitoring and modelling in Italy![]()
Recently our Italian partners published a detailed description of their IPHEN network in the International Journal of Biometeorology, the paper can be found on Springer online (Luigi Mariani et al. 2013)
Friday, August 23. 2013Test of new visualization methods![]()
In a recent edition of the German IT journal c’t (2013/17) was a very interesting paper about new visualization techniques based on R-project or a JavaScript library called D3.js.
You are right if you think reading is easier than doing so I spent the one or other evening for the creation of a working example with our PEP725 records. What I have done is to use the example of the streamgraph, adapt the JavaScript source and added some mouseover events. Together with some preprocessed datasets – that was the easy part – we have now the following new graph. ![]() Due to the fact that nearly 90% of all records where contributed by the German colleagues I have to use a logarithmic scale to keep other countries visible. Well it’s only a qualitative representation of our content (so I skipped the y – axis) but nevertheless I think this kind of diagram is an excellent way showing the annual contribution of each national network. So if you are curious try it (sorry Internet Explorer doesn’t work) Streamgraph of PEP725 Wednesday, June 20. 2012Distribution of Observation Patterns in the PEP725 Database![]()
For the EGU 2012 poster I’ve created a diagram with the number of reports for each day of the year. It wasn't a big surprise that most of our collected observations are from springtime with smaller amplitude from autumn.
I thought it would also be interesting to look at a statistic about the weekdays of the observations. If we think about ideal observations we can assume that phenological phases are equally distributed over all days of the week. So 14.3% (100% / 7 days) of observations will be on Sundays, 14.3% on Mondays and so on. Observers with a 5 day week will probably only report during their shift; volunteer observers (citizen scientists) maybe more on weekends. However, that's all only assumptions. Let us take a closer look at the millions of records in the international PEP725 data base. Unfortunately we do not store the weekday of an observation,. Actually we don’t even have a simple date in our records. What we have is the year and the day of the year. So we have to calculate the missing weekdays from the existing information. Our database system (MySQL) provides some handy functions for this task, e.g. DAYOFWEEK and DATE_ADD. The final SQL statement looks like this: SELECT DAYOFWEEK( DATE_ADD( CONCAT( CAST( (year -1) AS CHAR ) , '-12-31' ) , INTERVAL `day` DAY) ) AS Weekday, count( * ) FROM `pep_data` GROUP BY Weekday
The informative value Figure 2 is not very good,so I have calculated the relative percentage of each weekday and compared it to the ideal result of 14.3% (all observations are equally distributed over the week).
Figure 3 shows the mean reporting practice over the whole PEP725 data set - now let's take a look if there are differences between single countries. For this analysis I’ve selected the members with the most stations: the United Kingdom (UK), Germany (DE), Austria (AT), the Netherlands (NL) and Switzerland (CH). That brings us to one last question – the observation practice over time. The previous results were somehow expected, but it might be interesting if there is some kind of trend how we observe our nature. The PEP725 database reaches back to the year 1868, but there are only a few records available. From the year 1950 onwards we observe a fast development of phenological networks all over Europe with the peak in the 1980s. For that reason we will examine the early records all together and the later ones – those starting in the 1950s and onward.
The occurrence of phenological phases strongly depend on local weather patterns, micro climate and adaption strategies of plants so it is very difficult to identify errors in the cloud of possible variation. The presented analysis of the relative number of observations per weekday shouldn’t be understood as a tool for quality control, but rather as a means for getting a feeling about different observer types and their behavior. If you have a large number of observations it is very interesting to see the influence of professionals and citizen scientists today and in the past.
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