Vetenskapliga publikationer

Senast ändrad: 30 januari 2018


Edlund, N., Gaspar, M. (2017). Jordbruksfåglarnas minskning i Stockholms län: En kvantitativ studie av fåglarna i jordbrukslandskapet (Kandidatuppsats). Stockholm, Institutionen för naturvetenskap, miljö och teknik, Miljövetenskap, Södertörns högskola.

Ramberg, E. (2017). Bränder på skogsmark i Sverige – En kartläggning och analys av spontana och kontrollerade bränder 2011-2015 (Kandidatuppsats). Uppsala: Institutionen för ekologi, Sveriges Lantbruksuniversitet.

Kissling et al., (2017). Building essential biodiversity variables (EBVs) of species distribution and abundance at a global scale. Biological Reviews. 

Obst et al., (2017). Marine long-term biodiversity assessment suggests loss of rare species in the Skagerrak and Kattegat region.

Ruete, A., Pärt, T., Berg, Å., Knape, J. (2017). Exploiting opportunistic observations to estimate changes in seasonal site use: an example with wetland birds. Ecology and Evolution. 

Mair, L., Harrison, P. J., Jönsson, M., Löbel, S., Nordén, J., Siitonen, J., Lämås, T., Lundström, A. och Snäll, T. (2017). Evaluating citizen science data for forecasting species responses to national forest management. Ecology and Evolution 7:368-378.

Mair, L., Harrison, P.J., Räty, M., Bärring, L., Strandberg, G. och Snäll, T. Forest management could counteract distribution retractions forced by climate change. Ecological Applications, in press.


Milberg, P., Bergman, K-O., Cronvall, E., Eriksson, Å. I., Glimskär, A., Islamovic, A., Jonason, D., Löfqvist, Z., Westerberg, L. (2016, augusti). Flower abundance and vegetation height as predictors for nectar-feeding insect occurrence in Swedish semi-natural grasslands. Agriculture, Ecosystems and Environment, volym 230, 47-54.

Erlandsson, K., Lindström. P. (2016). Inramad biodiversitet­ – En gestaltningsstrategi för Lötens sand- och grustäkt (Masteruppsats). Uppsala, Institutionen för stad och land, Sveriges lantbruksuniversitet.

Hardesty et al. (2016). BioVeL: a virtual laboratory for data analysis and modelling in biodiversity science and ecology. BMC Ecology 16:49. 

Leidenberger, S., Käck, M., Karlsson, B., Kindvall, O. (2016). The Analysis Portal and the Swedish LifeWatch e-infrastructure for biodiversity research. Biodiversity Data Journal 4.

Mair, L. och Rute, A. (2016): Explaining spatial variation in the recording effort of citizen science data across multiple taxa. PLOS ONE.


Meineri, E., Dahlberg, C. J., Hylander, K. (2015, oktober). Using Gaussian Bayesian Networks to disentangle direct and indirect associations between landscape physiography, environmental variables and species distribution. Ecological Modelling, volym 313, 127-136.

Lestander, R., Löfgren, S., Henrikson, L., Ågren, A. M. (2015, mars). Relationship between structural features and water chemistry in boreal headwater streams – evaluation based on results from two water management survey tools suggested for Swedish forestry. Environmental Monitoring and Assessment.

Kundu, S. (2015). An analysis of the influence of land use and selected land cover parameters on the distribution of certain longhorn beetles (Coleoptera: Cerambycidae) in Sweden (Masteruppsats). Alnarp, Institutionen för sydsvensk skogsvetenskap, Sveriges lantbruksuniversitet.

Ruete, A. (2015, mars). Displaying bias in sampling effort of data accessed from biodiversity databases using ignorance maps. Biodiversity data journal, mars, pp.e5361.

Cousins, S., Auffret, A., Lindgren, J., Tränk, L. (2015). Regional-scale land-cover change during the 20th century and its consequences for biodiversity. AMBIO 44: 17-27. 

Helldin, J. O., Wissman. J., Lennartsson, T. (2015). Abundance of red-listed species in infrastructure habitats – ”responsibility species” as a priority-setting tool for transportation agencies' conservation action. Nature Conservation 11: 143-158.

Laugen, A. T., Hollander, J., Obst, M., Strand, A. (2015). The Pacific Oyster (Crassostrea gigas) invasion in Scandinavian coastal waters in a changing climate: impact on local ecosystem services. InBiological Invasions in Aquatic and Terrestrial Systems: Biogeography, Ecological Impacts, Predictions, and Management. De Gruyter, Warsaw.

Leidenberger, S., Obst, M., Kulawik, R., Stelzer, K., Heyer, K., Hardisty, A., Bourlat, S. J. (2015). Evaluating the potential of ecological niche modelling as a component in invasive species risk assessmentsMarine Pollution Bulletin 97:470-487.

Leidenberger, S., De Giovanni, R., Kulawik, R., e t al. (2015). Mapping present and future predicted distribution patterns for a mesograzer guild in the Baltic SeaJournal of Biogeography, 42 (2):241-254. 

Ruete, A. (2015). Simple algorithms to display ignorance maps for raw distributional data accessed from species observation databases: SLW implementation. Biodiversity Data Journal 3: e5361.

Strand, M., Panova, M. (2015). Size of genera – biology or taxonomy? Zoologica Scripta, 44 (1):106-116. 


Gärdenfors, U., Jönsson, M., Obst, M., Wremp, A. M., Kindvall, O., Nilsson, J. (2014). Swedish LifeWatch – a biodiversity infrastructure integrating and reusing data from citizen science, monitoring and research. Human Computation 1(2): 147163. 

González Talaván, A., Mathew, C., Obst, M., Paymal, E. (2014). Data Refinement Using the BioVeL Portal. 67 pp. Copenhagen: Global Biodiversity Information Facility.

Mathew, C., Guentsch, A., Obst, M., Vicario, S., Haines, R., Williams, A. R., de Jong, Y., Goble, C. (2014). A semiautomated workflow for biodiversity data retrieval, cleaning, and quality control. Biodiversity Data Journal 2: e4221. 

Snäll, T., Forslund, P., Jeppsson, T., Lindhe, A., O’Hara, R. B. (2014). Evaluating temporal variation in Citizen Science Data against temporal variation in the environment. Ecography 37(3): 293-300.


Hardisty, A., Roberts, D. (2013). A decadal view of biodiversity informatics: challenges and priorities. BMC Ecology, Vol.13. 

Holl, S., Garijo, D., Belhajjam, K., Zimmermann, O., Giovanni, R. D., Obst, M., Goble, C. (2013). On specifying and sharing scientific workflow optimization results using research objects. Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science. ACM: 2013: 28-37. 

Klein, T., Langner, J., Frankenberg, B., Svensson, J., Broman, B., Bennet, C. & Langborg, T. (2013). ECDS – A Swedish research infrastructure for the open sharing of environment and climate data. Data Science Journal, 12


Thessen, A. E., Patterson, D. J. (2011). Data issues in the life sciences. ZooKeys, 2011(150), 15-51.