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Department of Ecoscience

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Bro-Rasmussen, F., Løkke, H., Kristensen, P., Laursen, E., Boyd, H. B., Ege Jørgensen, C. & Mann Nielsen, K. (1996). Uvurderede kemiske stoffer: Rapport og anbefalinger fra en tværfaglig arbejdsgruppe. Teknologirådet. Teknologirådets rapporter Vol. 1996/2

Peng, R., Nielsen, M. G. & Offenberg, J. (2013). Utilisation of multiple queens and pupae transplantation to boost early colony growth of weaver ants Oecophylla smaragdina. Asian Myrmecology, 5, 177-184. http://www.asian-myrmecology.org/publications/am05_177-184_peng-etal_2013.pdf

Damgaard, C. & Irvine, K. M. (2019). Using the beta distribution to analyse plant cover data. Journal of Ecology, 107(6), 2747–2759. https://doi.org/10.1111/1365-2745.13200

Scott-Fordsmand, J. J., Vikelsøe, J., Kristensen, H. L. & Krogh, P. H. (2000). Using Standardised Multispecies Test Systems to Study the Effect of NP-Contaminated Organic Waste. Poster session presented at Tenth Annual Meeting of SETAC Europe, Brighton, United Kingdom.

Padonou, E. A., Teka, O., Bachmann, Y., Schmidt, M., Lykke, A. M. & Sinsin, B. (2015). Using species distribution models to select climate change resistant species for ecological restoration of bowé in West Africa. African Journal of Ecology, 53(1), 83-92. https://doi.org/10.1111/aje.12205

Offenberg, H. J., Nielsen, M. G. & Peng, R. (2011). Using pleometrosis (multiple queens) and pupae transplantation to boost weaver ant (Oecophylla smaragdina) colony growth in ant nurseries. In Global Conference on Entomology. 5-9 March Chiang Mai, Thailand

Demšar, D., Džeroski, S., Krogh, P. H., Larsen, T., Dzeroski, S. (Ed.), Zenko, B. (Ed.) & Debeljak, M. (Ed.) (2004). Using multiobjective classification to model communities of soil microarthropods. In S. Dzeroski, B. Zenko & M. Debeljak (Eds.), The Fourth International Workshop on Environmental Applications of Machine Learning (EAML 2004): Proceedings. Bled, Slovenia, September 27-October 1, 2004 (pp. 21-22). Ljubjana: Jozef Stefan Institue. http://www.ecogen.dk/results/Publications/demsar_et_al_EAML_2004

Dem?ar, D., D?eroski, S., Krogh, P. H. & Larsen, T. (2005). Using machine learning to predict the impact of agricultural factors on communities of soil microarthropods. Metodoloski zvezki - Advances in Methodology and Statistics, 2(1), 147-159. http://mrvar.fdv.uni-lj.si/pub/mz/mz2.1/demsar.pdf

Scott-Fordsmand, J. J. & Amorim, M. J. B. (2023). Using Machine Learning to make nanomaterials sustainable. Science of the Total Environment, 859(Part 2), Article 160303. https://doi.org/10.1016/j.scitotenv.2022.160303

Lynegaard, G., Offenberg, J., Fast, T., Axelsen, J. A., Mwatawala, M. & Rwegasira, G. (2014). Using insect traps to increase weaver ant (Oecophylla longinoda) prey capture. Journal of Applied Entomology (Print), 138(7), 539–546. https://doi.org/10.1111/jen.12108

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