Analyzing phenological synchronicity using volunteered geographic information

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Abstract

Analyzing synchronicity in the timing of annual recurring animal and plant life cycle events is important to analyse the impact of global change on our planet. The location and timing of these events is recorded by thousands of volunteers in the context of phonological networks. Most of the current workflows analyse synchronicity without checking consistency of such volunteered geographic information. Here, we describe a workflow to analyse synchronicity in volunteered observations while accounting for possible inconsistencies in the data. The workflow uses the date and geographic locations of the observations to 1) define temperature-driven constraints; 2) spatially link the observations; 3) identify inconsistent observations; and 4) model species-specific synchronicity. This workflow was tested using flowering observations of horse chestnut (Aesculus hippocastanum) in the Netherlands for the period 2003-2015. We found inconsistent observations each year but a sensitivity analysis of the temporal trends in flowering did not find significant differences between trends estimated from the original observations or only the consistent ones. This means that the observations already have a high degree of consistency. We found a negative correlation between the measure of synchronicity in flowering onset and the cumulative temperatures of February, March and April (R = 0.77). In years with warm springs, the flowering tends to be more geographically synchronous than years with cold springs. These results show that the proposed workflow can effectively be used to analyse volunteered geographic information in phenology.
Original languageEnglish
Title of host publicationThe 19th AGILE International Conference on Geographic Information Science
Subtitle of host publicationGeospatial Data in a Changing World
EditorsTapani Sarjakoski, Maribel Yasmina Santos, L. Tiina Sarjakoski
PublisherAssociation of Geographic Information Laboratories for Europe (AGILE)
Number of pages6
ISBN (Print)978-3-319-33782-1
Publication statusPublished - 2016
Event19th AGILE conference on Geographic Information Science, AGILE 2016 - Helskini, Finland
Duration: 14 Jun 201617 Jun 2016
Conference number: 19

Conference

Conference19th AGILE conference on Geographic Information Science, AGILE 2016
Abbreviated titleAGILE
CountryFinland
CityHelskini
Period14/06/1617/06/16

Fingerprint

flowering
horse
global change
phenology
sensitivity analysis
planet
life cycle
temperature
trend

Keywords

  • METIS-317415

Cite this

Mehdi Poor, H., Zurita-Milla, R., Augustijn-Beckers, P., & van Vliet, A. (2016). Analyzing phenological synchronicity using volunteered geographic information. In T. Sarjakoski, M. Y. Santos, & L. T. Sarjakoski (Eds.), The 19th AGILE International Conference on Geographic Information Science: Geospatial Data in a Changing World Association of Geographic Information Laboratories for Europe (AGILE).
Mehdi Poor, H. ; Zurita-Milla, R. ; Augustijn-Beckers, Petronella ; van Vliet, A. / Analyzing phenological synchronicity using volunteered geographic information. The 19th AGILE International Conference on Geographic Information Science: Geospatial Data in a Changing World. editor / Tapani Sarjakoski ; Maribel Yasmina Santos ; L. Tiina Sarjakoski. Association of Geographic Information Laboratories for Europe (AGILE), 2016.
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title = "Analyzing phenological synchronicity using volunteered geographic information",
abstract = "Analyzing synchronicity in the timing of annual recurring animal and plant life cycle events is important to analyse the impact of global change on our planet. The location and timing of these events is recorded by thousands of volunteers in the context of phonological networks. Most of the current workflows analyse synchronicity without checking consistency of such volunteered geographic information. Here, we describe a workflow to analyse synchronicity in volunteered observations while accounting for possible inconsistencies in the data. The workflow uses the date and geographic locations of the observations to 1) define temperature-driven constraints; 2) spatially link the observations; 3) identify inconsistent observations; and 4) model species-specific synchronicity. This workflow was tested using flowering observations of horse chestnut (Aesculus hippocastanum) in the Netherlands for the period 2003-2015. We found inconsistent observations each year but a sensitivity analysis of the temporal trends in flowering did not find significant differences between trends estimated from the original observations or only the consistent ones. This means that the observations already have a high degree of consistency. We found a negative correlation between the measure of synchronicity in flowering onset and the cumulative temperatures of February, March and April (R = 0.77). In years with warm springs, the flowering tends to be more geographically synchronous than years with cold springs. These results show that the proposed workflow can effectively be used to analyse volunteered geographic information in phenology.",
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Mehdi Poor, H, Zurita-Milla, R, Augustijn-Beckers, P & van Vliet, A 2016, Analyzing phenological synchronicity using volunteered geographic information. in T Sarjakoski, MY Santos & LT Sarjakoski (eds), The 19th AGILE International Conference on Geographic Information Science: Geospatial Data in a Changing World. Association of Geographic Information Laboratories for Europe (AGILE), 19th AGILE conference on Geographic Information Science, AGILE 2016, Helskini, Finland, 14/06/16.

Analyzing phenological synchronicity using volunteered geographic information. / Mehdi Poor, H.; Zurita-Milla, R.; Augustijn-Beckers, Petronella; van Vliet, A.

The 19th AGILE International Conference on Geographic Information Science: Geospatial Data in a Changing World. ed. / Tapani Sarjakoski; Maribel Yasmina Santos; L. Tiina Sarjakoski. Association of Geographic Information Laboratories for Europe (AGILE), 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Analyzing phenological synchronicity using volunteered geographic information

AU - Mehdi Poor, H.

AU - Zurita-Milla, R.

AU - Augustijn-Beckers, Petronella

AU - van Vliet, A.

PY - 2016

Y1 - 2016

N2 - Analyzing synchronicity in the timing of annual recurring animal and plant life cycle events is important to analyse the impact of global change on our planet. The location and timing of these events is recorded by thousands of volunteers in the context of phonological networks. Most of the current workflows analyse synchronicity without checking consistency of such volunteered geographic information. Here, we describe a workflow to analyse synchronicity in volunteered observations while accounting for possible inconsistencies in the data. The workflow uses the date and geographic locations of the observations to 1) define temperature-driven constraints; 2) spatially link the observations; 3) identify inconsistent observations; and 4) model species-specific synchronicity. This workflow was tested using flowering observations of horse chestnut (Aesculus hippocastanum) in the Netherlands for the period 2003-2015. We found inconsistent observations each year but a sensitivity analysis of the temporal trends in flowering did not find significant differences between trends estimated from the original observations or only the consistent ones. This means that the observations already have a high degree of consistency. We found a negative correlation between the measure of synchronicity in flowering onset and the cumulative temperatures of February, March and April (R = 0.77). In years with warm springs, the flowering tends to be more geographically synchronous than years with cold springs. These results show that the proposed workflow can effectively be used to analyse volunteered geographic information in phenology.

AB - Analyzing synchronicity in the timing of annual recurring animal and plant life cycle events is important to analyse the impact of global change on our planet. The location and timing of these events is recorded by thousands of volunteers in the context of phonological networks. Most of the current workflows analyse synchronicity without checking consistency of such volunteered geographic information. Here, we describe a workflow to analyse synchronicity in volunteered observations while accounting for possible inconsistencies in the data. The workflow uses the date and geographic locations of the observations to 1) define temperature-driven constraints; 2) spatially link the observations; 3) identify inconsistent observations; and 4) model species-specific synchronicity. This workflow was tested using flowering observations of horse chestnut (Aesculus hippocastanum) in the Netherlands for the period 2003-2015. We found inconsistent observations each year but a sensitivity analysis of the temporal trends in flowering did not find significant differences between trends estimated from the original observations or only the consistent ones. This means that the observations already have a high degree of consistency. We found a negative correlation between the measure of synchronicity in flowering onset and the cumulative temperatures of February, March and April (R = 0.77). In years with warm springs, the flowering tends to be more geographically synchronous than years with cold springs. These results show that the proposed workflow can effectively be used to analyse volunteered geographic information in phenology.

KW - METIS-317415

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M3 - Conference contribution

SN - 978-3-319-33782-1

BT - The 19th AGILE International Conference on Geographic Information Science

A2 - Sarjakoski, Tapani

A2 - Santos, Maribel Yasmina

A2 - Sarjakoski, L. Tiina

PB - Association of Geographic Information Laboratories for Europe (AGILE)

ER -

Mehdi Poor H, Zurita-Milla R, Augustijn-Beckers P, van Vliet A. Analyzing phenological synchronicity using volunteered geographic information. In Sarjakoski T, Santos MY, Sarjakoski LT, editors, The 19th AGILE International Conference on Geographic Information Science: Geospatial Data in a Changing World. Association of Geographic Information Laboratories for Europe (AGILE). 2016