| Use of multiple LIDAR-derived digital terrain indices and machine learning for high-resolution national-scale soil moisture mapping of the Swedish forest landscape AM Ågren, J Larson, SS Paul, H Laudon, W Lidberg Geoderma 404, 115280, 2021 | 64 | 2021 |
| Predicting soil moisture conditions across a heterogeneous boreal catchment using terrain indices J Larson, W Lidberg, AM Ågren, H Laudon Hydrology and Earth System Sciences 26 (19), 4837-4851, 2022 | 14 | 2022 |
| What happens to trees and soils during five decades of experimental nitrogen loading? P Högberg, RW Lucas, MN Högberg, U Skyllberg, G Egnell, J Larson, ... Forest Ecology and Management 553, 121644, 2024 | 3 | 2024 |
| Predicting soil moisture across a heterogeneous boreal catchment using terrain indices J Larson, W Lidberg, AM Ågren, H Laudon Hydrology and Earth System Sciences Discussions 2022, 1-26, 2022 | 2 | 2022 |
| Several mechanisms drive the heterogeneity in browning across a boreal stream network X Zhu, F Berninger, L Chen, J Larson, R Sponseller, H Laudon Authorea Preprints, 2023 | 1 | 2023 |
| Soil moisture controls the partitioning of carbon stocks across a managed boreal forest landscape J Larson, J Wallerman, M Peichl, H Laudon Scientific Reports 13 (1), 14909, 2023 | 1 | 2023 |
| Variability in soil carbon-to-nitrogen ratios explained by environmental conditions in a boreal catchment J Larson, L Kuglerová, P Högberg, H Laudon Forest Ecology and Management 568, 122108, 2024 | | 2024 |
| Tree growth potential and its relationship with soil moisture conditions across a heterogeneous boreal forest landscape J Larson, C Vigren, J Wallerman, AM Ågren, A Appiah Mensah, H Laudon Scientific Reports 14 (1), 10611, 2024 | | 2024 |
| What happens to trees and soils during five decades of experimental nitrogen loading? J Larson, P Högberg, R Lucas, MN Högberg, U Skyllberg, G Egnell | | 2024 |
| Soil moisture conditions control nutrient accumulation, carbon storage and tree growth in boreal forest landscapes J Larson | | 2023 |
| Combining LIDAR-derived Digital Terrain Indices and Machine Learning, for High Resolution National-scale Soil Moisture Mapping of the Swedish Forest Landscape. AM Ågren, J Larson, SS Paul, H Laudon, W Lidberg EGU General Assembly Conference Abstracts, EGU21-909, 2021 | | 2021 |
| Using machine learning to generate high-resolution soil wetness maps for planning forest management W Lidberg, J Larson, H Laudon, A Ågren EGU General Assembly Conference Abstracts, EGU21-2578, 2021 | | 2021 |
| Know the flow-spatial and temporal variation of DOC exports and the importance of monitoring site specific discharge J Larson SLU, Dept. of Forest Ecology and Management 2018 (11), 2018 | | 2018 |
| Förändring av vinterns längd och vårflod i ett borealt skogslandskap i norra Sverige J Larson, A Svensson SLU, Dept. of Forest Ecology and Management 2016 (21), 2017 | | 2017 |
