Department of Bioscience

Predictive ecological modeling (State-space models, SEM, Bayesian MCMC, Partition of variance into process and sampling variance, Quantification of uncertainty) (Damgaard, 2012, Damgaard et al., 2014)

Fine-grained high-quality longitudinal plant cover data from 17 Danish light-open habitat types (Nielsen et al., 2012).

Ecological data needed for process-based predictive models: Longitudinal data on the ecosystem level from experimental sites where either the climate or agricultural pressures (nitrogen and pesticides are varied.

Damgaard, C. (2012) Trend analyses of hierarchical pin-point cover data. Ecology, 93, 1269-1274.
Damgaard, C., Strandberg, M.T., Kristiansen, S.M., Nielsen, K.E. & Bak, J.L. (2014) Is Erica tetralix abundance on wet heathlands controlled by nitrogen deposition or soil acidification? Environmental Pollution, 184, 1-8.
Nielsen, K.E., Bak, J.L., Bruus Pedersen, M., Damgaard, C., Ejrnæs, R., Fredshavn, J.R., Nygaard, B., Skov, F., Strandberg , B. & Strandberg, M. (2012) NATURDATA.DK - Danish monitoring program of vegetation and chemical plant and soil data from non-forested terrestrial habitat types. Biodiversity & Ecology 4, 375.

Contact: Christian Damgaard (cfd@dmu.dk) or Flemming Skov (fs@dmu.dk)

Organisation name: 
Aarhus University
Country: 
Denmark
Contact name: 
Christian Damgaard
Contact e-mail: 
cfd@dmu.dk
Ecotype: 
Terrestrial/Freshwater
Agricultural
Ecology
Computing: 
Data management
Modelling
User interface: 
Applied science/policy
Publication
PIC: 
999 997 736

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith