Duan, X., Wallis, D., Hatjina, F., Simon-Delso, N., Bruun Jensen, A.
& Topping, C. J. (2022).
ApisRAM Formal Model Description.
EFSA Supporting Publications,
19(2), Artikel EN-7184.
https://doi.org/10.2903/sp.efsa.2022.EN-7184
Axelsen, J. A., Lykke, A. M., Bruus, M., Dupont, Y. L., Sørensen, K. K. & Pedersen, H. H. (2022).
Impact of conservation agriculture and traditional tillage systems on epiedaphic springtails, ground beetles, rove beetles, and spiders. Social Science Electronic Publishing.
https://doi.org/10.2139/ssrn.4011759
Simin, T., Davie-Martin, C. L., Petersen, J.
, Høye, T. T. & Rinnan, R. (2022).
Impacts of elevation on plant traits and volatile organic compound emissions in deciduous tundra shrubs.
Science of the Total Environment,
837, Artikel 155783.
https://doi.org/10.1016/j.scitotenv.2022.155783Barnes, C. J., Nielsen, I. B., Aagaard, A., Ejrnæs, R., Hansen, A. J. & Frøslev, T. G. (2022).
Metabarcoding of soil environmental DNA replicates plant community variation but not specificity.
Environmental DNA,
4(4), 732-746.
https://doi.org/10.1002/edn3.287
Sydenham, M. A. K., Venter, Z. S., Reitan, T.
, Rasmussen, C., Skrindo, A. B., Skoog, D. I. J., Hanevik, K. A., Hegland, S. J.
, Dupont, Y. L., Nielsen, A., Chipperfield, J. & Rusch, G. M. (2022).
MetaComNet: A random forest-based framework for making spatial predictions of plant–pollinator interactions.
Methods in Ecology and Evolution,
13(2), 500-513.
https://doi.org/10.1111/2041-210X.13762Alison, J., Alexander, J. M., Diaz Zeugin, N.
, Dupont, Y. L., Iseli, E.
, Mann, H. M. R. & Høye, T. T. (2022).
Moths complement bumblebee pollination of red clover: A case for day-and-night insect surveillance.
Biology Letters,
18(7), Artikel 20220187.
https://doi.org/10.1098/rsbl.2022.0187
Sydenham, M. A. K., Venter, Z. S., R. Moe, S., Eldegard, K., Kuhlmann, M., Reitan, T.
, Rasmussen, C., Paxton, R. J.
, Dupont, Y. L., Skrindo, A. B., Hegland, S. J., Nielsen, A.
, Olesen, J. M., S. Nowell, M. & Rusch, G. M. (2022).
Neutral processes related to regional bee commonness and dispersal distances are important predictors of plant–pollinator networks along gradients of climate and landscape conditions.
Ecography,
2022(12), Artikel e06379.
https://doi.org/10.1111/ecog.06379
