Danielsen, A. C. S., Hermansen, C., Weber, P. L., Mikstas, D., Pesch, C., de Carvalho Gomes, L., Gutierrez, S., Nielsen, P. H.
, Greve, M. H., Møldrup, P.
, Normand, S. & de Jonge, L. W. (2025).
Soil Water Repellency in Natural and Semi-Natural Habitats: A Nexus Between Abiotic Factors and Prokaryotic Communities.
European Journal of Soil Science,
76(2), Artikel e70063.
https://doi.org/10.1111/ejss.70063
Daelman, R., Bauters, M., Barthel, M., Bulonza, E., Lefevre, L., Mbifo, J., Six, J.
, Butterbach-Bahl, K., Wolf, B., Kiese, R. & Boeckx, P. (2025).
Spatiotemporal variability of CO2, N2O and CH4 fluxes from a semi-deciduous tropical forest soil in the Congo Basin.
Biogeosciences,
22(6), 1529-1542.
https://doi.org/10.5194/bg-22-1529-2025Dupont, Y. L., Balsby, T. J. S., Greve, M. B., Marcussen, L. K. & Kryger, P. (2025).
Spatio-temporal variation in pollen collected by honey bees (Apis mellifera) in rural-urban mosaic landscapes in Northern Europe.
PLOS ONE,
20(2), Artikel e0309190.
https://doi.org/10.1371/journal.pone.0309190
Zhang, J., Yao, W., Wen, Y., Qian, X.
, Peixoto, L., Yang, S., Meng, S., Yang, Y., Zeng, Z. & Zang, H. (2025).
Temporal and spatial patterns of N2O emissions in maize/legume strip intercropping: Effects of straw incorporation and crop interactions.
Field Crops Research,
326, Artikel 109850.
https://doi.org/10.1016/j.fcr.2025.109850Torvanger, M. S.
, Dupont, Y. L., Olesen, J. M., Rasmussen, C., Madsen, H. B., Star, B. & Sydenham, M. A. K. (2025).
The Distribution of Wild Bee Species Along a Latitudinal Gradient in Northern Europe Depends on Their Flower Preferences.
Diversity and Distributions,
31(2), Artikel e70001.
https://doi.org/10.1111/ddi.70001Toleikiene, M., Skipityte, R., Bariseviciute, R.
, Martins, J. T. & Rasmussen, J. (2025).
The Effects of Legume-Cereal Intercropping on the Symbiotically Fixed N2 in Soybean, N Accumulation, and C Allocation.
Plants,
14(7), Artikel 1009.
https://doi.org/10.3390/plants14071009Amby, D. B., Westergaard, J. C., Grosskinsky, D. K., Jensen, S. M., Svensgaard, J., Liu, F., Christensen, S. & Roitsch, T. (2025).
The PhenoLab – an automated, high-throughput phenotyping platform for analyzing development, abiotic stress responses and pathogen infection in model and crop plants.
Smart Agricultural Technology,
11, Artikel 100845. Advance online publication.
https://doi.org/10.1016/j.atech.2025.100845
