Skip to main content

Can VGI and Mobile Apps Support Long-Term Ecological Research? A Test in Remote Areas of the Alps

  • Chapter
  • First Online:
Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation

Part of the book series: Earth Systems Data and Models ((ESDM,volume 4))

  • 499 Accesses

Abstract

Long-term ecological research (LTER) is performed in many countries across the globe by scientists that gather and analyse multidecadal ecological observations and data, to support understanding and management of the environment. LTER data are used to describe the state and dynamics of an ecosystem. This valuable research is in charge of experts in ecology, and it is performed in the so-called LTER networks (for Europe, see http://www.lter-europe.net), usually organized at a national level; they consist of sites covering different ecosystem typologies, each one with research and monitoring facilities. In summer 2015, researchers of the Italian LTER network (LTER-Italy) have created a set of naturalistic trails, connecting sites of LTER-Italy (http://www.lteritalia.it/cammini), aiming to transfer and share the research results with citizens, through public events and informal science communication. Along one of these trails, performed on the Alps, the organizers proposed the use of two VGI apps to collect either biological or abiotic observations (http://www.lteritalia.it/it/content/citizenscience). The apps were chosen according to crucial characteristics, i.e. offline usage, operative system independence, strong development and support community, customization of user interfaces. This paper reports on this first test, discussing lessons learned and, in particular, the impact on the practice of research communities of participative, innovative tools, often neglected in the analysis of mobile application effects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Muki Haklay talk in the Wilson Center in Washington DC on ‘Environmental Information—The Roles of Experts and the Public’, 29 April 2014.

    Google Scholar 

  2. Miller-Rushing, A., Primack, R., & Bonney, R. (2012). The history of public participation in ecological research. Frontiers in Ecology and the Environment, 10(6), 285–290.

    Article  Google Scholar 

  3. Socientize Consortium. (2014). White paper on citizen science for Europe.

    Google Scholar 

  4. Hand, E. (2010). Citizen science: People power. Nature, 466(7307), 685–687.

    Article  Google Scholar 

  5. Goodchild, M. F. (2007). Citizens as voluntary sensors: Spatial data infrastructure in the world of Web 2.0. International Journal of Spatial Data Infrastructures Research, 2, 24–32.

    Google Scholar 

  6. Kelling, S., Hochachka, W. M., Fink, D., Riedewald, M., Caruana, R., Ballard, G., et al. (2009). Data-intensive science: A new paradigm for biodiversity studies. BioScience, 59, 613–620.

    Article  Google Scholar 

  7. Dorn, H., Törnros, T., & Zipf, A. (2015). Quality evaluation of VGI using authoritative data—A comparison with land use data in Southern Germany. ISPRS International Journal of Geo-Information, 4, 1657–1671.

    Article  Google Scholar 

  8. Antoniou, V., & Skopeliti, A. (2015). Measures and indicators of VGI quality: An overview. ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information, 1, 345–351.

    Article  Google Scholar 

  9. Bordogna, G., Carrara, P., Criscuolo, L., Pepe, M., & Rampini, A. (2014). On predicting and improving the quality of Volunteer Geographic Information projects. International Journal of Digital Earth, 9(2), 134–155. https://doi.org/10.1080/17538947.2014.976774.

    Article  Google Scholar 

  10. Criscuolo, L., Pepe, M., Seppi, R., Bordogna, G., Carrara, P., & Zucca, F. (2013). Alpine Glaciology: An historical collaboration between volunteers and scientists and the challenge presented by an integrated approach. ISPRS International Journal of Geo-Information, 2(3), 680–703. https://doi.org/10.3390/ijgi2030680.

    Article  Google Scholar 

  11. Coleman, D., Georgiadou, Y., & Labonte, J. (2009). Volunteered geographic information: The nature and motivation of produsers. IJSDIR, 4(1), 332–358.

    Google Scholar 

  12. Aanensen, D. M., Huntley, D. M., Feil, E. J., al-Own, F., & Spratt, B. G. (2009). EpiCollect: Linking smartphones to web applications for epidemiology, ecology and community data collection. PLoS ONE, 4(9), e6968. https://doi.org/10.1371/journal.pone.0006968.

    Article  Google Scholar 

Download references

Acknowledgements

This work has been partially funded by the Italian Flagship Project RITMARE, by LifeWatch-Italy (the Italian component of LifeWatch ERIC) and by the LTER-Italy network.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laura Criscuolo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Criscuolo, L., Carrara, P., Oggioni, A., Pugnetti, A., Antoninetti, M. (2018). Can VGI and Mobile Apps Support Long-Term Ecological Research? A Test in Remote Areas of the Alps. In: Bordogna, G., Carrara, P. (eds) Mobile Information Systems Leveraging Volunteered Geographic Information for Earth Observation. Earth Systems Data and Models, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-319-70878-2_3

Download citation

Publish with us

Policies and ethics