Publikationen
Amadeus Bramsiepe, KIT
2022
Piatka, D. R.; Venkiteswaran, J. J.; Uniyal, B.; u. a. (2022). Dissolved oxygen isotope modelling refines metabolic state estimates of stream ecosystems with different land use background. Scientific Reports, 12, Art.-Nr.: 10204. doi:10.1038/s41598-022-13219-9
Lesiv, M.; Schepaschenko, D.; Buchhorn, M.; u. a. (2022). Global forest management data for 2015 at a 100 m resolution. Scientific Data, 9 (1), 199. doi:10.1038/s41597-022-01332-3
Junkermann, W.; Hacker, J. (2022). Unprecedented levels of ultrafine particles, major sources, and the hydrological cycle. Scientific Reports, 12, Art.-Nr.: 7410. doi:10.1038/s41598-022-11500-5
Laso Bayas, J. C.; See, L.; Georgieva, I.; u. a. (2022). Drivers of tropical forest loss between 2008 and 2019. Scientific Data, 9 (1), Artkl.Nr.:146. doi:10.1038/s41597-022-01227-3
Liao, C.; Chen, Y.; Wang, J.; u. a. (2022). Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP). Ecological Processes, 11 (1), Art.-Nr.: 14. doi:10.1186/s13717-021-00356-8
See, L.; Georgieva, I.; Duerauer, M.; u. a. (2022). A crowdsourced global data set for validating built-up surface layers. Scientific data, 9 (1), 13. doi:10.1038/s41597-021-01105-4
Gaglio, M.; Pace, R.; Muresan, A. N.; u. a. (2022). Species-specific efficiency in PM2.5 removal by urban trees: From leaf measurements to improved modeling estimates. Science of The Total Environment, 844, Artkl.Nr.: 157131. doi:10.1016/j.scitotenv.2022.157131
Vrieling, A.; Fava, F.; Leitner, S.; u. a. (2022). Identification of temporary livestock enclosures in Kenya from multi-temporal PlanetScope imagery. Remote Sensing of Environment, 279, Art.-Nr.: 113110. doi:10.1016/j.rse.2022.113110
Merkle, M.; Alexander, P.; Brown, C.; u. a. (2022). Downscaling population and urban land use for socio-economic scenarios in the UK. Regional Environmental Change, 22 (3), 106. doi:10.1007/s10113-022-01963-7
Ramm, E.; Liu, C.; Mueller, C. W.; u. a. (2022). Alder-induced stimulation of soil gross nitrogen turnover in a permafrost-affected peatland of Northeast China. Soil Biology and Biochemistry, 172, Art.-Nr.: 108757. doi:10.1016/j.soilbio.2022.108757
Krause, J.; Harfoot, M.; Hoeks, S.; u. a. (2022). How more sophisticated leaf biomass simulations can increase the realism of modelled animal populations. Ecological Modelling, 471, Artkl.Nr.:110061. doi:10.1016/j.ecolmodel.2022.110061
Wang, R.; Pan, Z.; Liu, Y.; u. a. (2022). Full straw incorporation into a calcareous soil increased NO emission despite more NO being reduced to N in the winter crop season. Agriculture, Ecosystems and Environment, 335, Art.Nr. 108007. doi:10.1016/j.agee.2022.108007
Oberpriller, J.; Herschlein, C.; Anthoni, P.; u. a. (2022). Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0). Geoscientific Model Development, 15 (16), 6495–6519. doi:10.5194/gmd-15-6495-2022
Borne, M.; Lorenz, C.; Portele, T. C.; u. a. (2022). Seasonal sub-basin-scale runoff predictions: A regional hydrometeorological Ensemble Kalman Filter framework using global datasets. Journal of Hydrology: Regional Studies, 42, Art.-Nr.: 101146. doi:10.1016/j.ejrh.2022.101146
Estoque, R. C.; Dasgupta, R.; Winkler, K.; u. a. (2022). Spatiotemporal pattern of global forest change over the past 60 years and the forest transition theory. Environmental Research Letters, 17 (8), Art.-Nr.: 084022. doi:10.1088/1748-9326/ac7df5
Wan, L.; Lv, H.; Qasim, W.; u. a. (2022). Heavy metal and nutrient concentrations in top- and sub-soils of greenhouses and arable fields in East China – Effects of cultivation years, management, and shelter. Environmental Pollution, 307, Art.Nr. 119494. doi:10.1016/j.envpol.2022.119494
Haas, E.; Carozzi, M.; Massad, R. S.; u. a. (2022). Long term impact of residue management on soil organic carbon stocks and nitrous oxide emissions from European croplands. Science of The Total Environment, 836, Art.Nr. 154932. doi:10.1016/j.scitotenv.2022.154932
Li, Y.; Feng, H.; Dong, Q.; u. a. (2022). Ammoniated straw incorporation increases wheat yield, yield stability, soil organic carbon and soil total nitrogen content. Field Crops Research, 284, Art.-Nr.: 108558. doi:10.1016/j.fcr.2022.108558
Pan, B.; Zhang, Y.; Xia, L.; u. a. (2022). Nitrous oxide production pathways in Australian forest soils. Geoderma, 420, Art.-Nr.: 115871. doi:10.1016/j.geoderma.2022.115871
Maire, J.; Sattar, A.; Henry, R.; u. a. (2022). How different COVID-19 recovery paths affect human health, environmental sustainability, and food affordability: a modelling study. The Lancet Planetary Health, 6 (7), e565–e576. doi:10.1016/S2542-5196(22)00144-9
Friedl, J.; Deltedesco, E.; Keiblinger, K. M.; u. a. (2022). Amplitude and frequency of wetting and drying cycles drive N and NO emissions from a subtropical pasture. Biology and Fertility of Soils, 58 (5), 593–605. doi:10.1007/s00374-022-01646-9
Rahimi, J.; Fillol, E.; Mutua, J. Y.; u. a. (2022). A shift from cattle to camel and goat farming can sustain milk production with lower inputs and emissions in north sub-Saharan Africa’s drylands. Nature Food, 3 (7), 523–531. doi:10.1038/s43016-022-00543-6
Qasim, W.; Wan, L.; Lv, H.; u. a. (2022). Impact of anaerobic soil disinfestation on seasonal NO emissions and N leaching in greenhouse vegetable production system depends on amount and quality of organic matter additions. Science of The Total Environment, 830, Art.-Nr.: 154673. doi:10.1016/j.scitotenv.2022.154673
Shu, X.; He, J.; Zhou, Z.; u. a. (2022). Organic amendments enhance soil microbial diversity, microbial functionality and crop yields: A meta-analysis. Science of The Total Environment, 829, Artk.Nr.: 154627. doi:10.1016/j.scitotenv.2022.154627
Lin, D.; Katurji, M.; Revell, L. E.; u. a. (2022). Fog type classification using a modified Richardson number for Christchurch, New Zealand. International Journal of Climatology. doi:10.1002/joc.7761
Bliefernicht, J.; Salack, S.; Waongo, M.; u. a. (2022). Towards a historical precipitation database for West Africa: Overview, quality control and harmonization. International Journal of Climatology, 42 (7), 4001–4023. doi:10.1002/joc.7467
Dong, N.; Wei, J.; Yang, M.; u. a. (2022). Model Estimates of China’s Terrestrial Water Storage Variation Due To Reservoir Operation. Water Resources Research, 58 (6), e2021WR031787. doi:10.1029/2021WR031787
Rousset, C.; Clough, T. J.; Grace, P. R.; u. a. (2022). Wetting and drainage cycles in two New Zealand soil types: Effects on relative gas diffusivity and NO emissions. Geoderma Regional, 29, e00504. doi:10.1016/j.geodrs.2022.e00504
Ganzenmüller, R.; Bultan, S.; Winkler, K.; u. a. (2022). Land-use change emissions based on high-resolution activity data substantially lower than previously estimated. Environmental Research Letters, 17 (6), 064050. doi:10.1088/1748-9326/ac70d8
Schucknecht, A.; Seo, B.; Krämer, A.; u. a. (2022). Estimating dry biomass and plant nitrogen concentration in pre-Alpine grasslands with low-cost UAS-borne multispectral data – a comparison of sensors, algorithms, and predictor sets. Biogeosciences, 19 (10), 2699–2727. doi:10.5194/bg-19-2699-2022
Li, X.; Fang, G.; Wen, X.; u. a. (2022). Characteristics analysis of drought at multiple spatiotemporal scale and assessment of CMIP6 performance over the Huaihe River Basin. Journal of Hydrology: Regional Studies, 41, Art.Nr. 101103. doi:10.1016/j.ejrh.2022.101103
Wallace, A. J.; Armstrong, R. D.; Grace, P. R.; u. a. (2022). Nitrogen use efficiency and NO emissions vary according to seasonal water supply across different cereal production systems of south eastern Australia. Geoderma Regional, 29, Art.-Nr.: e00498. doi:10.1016/j.geodrs.2022.e00498
Suman, M.; Maity, R.; Kunstmann, H. (2022). Precipitation of Mainland India: Copula‐based bias‐corrected daily CORDEX climate data for both mean and extreme values. Geoscience Data Journal, 9 (1), 58–73. doi:10.1002/gdj3.118
Kraus, D.; Werner, C.; Janz, B.; u. a. (2022). Greenhouse Gas Mitigation Potential of Alternate Wetting and Drying for Rice Production at National Scale—A Modeling Case Study for the Philippines. Journal of Geophysical Research: Biogeosciences, 127 (5), e2022JG006848. doi:10.1029/2022JG006848
Seiler, C.; Melton, J. R.; Arora, V. K.; u. a. (2022). Are Terrestrial Biosphere Models Fit for Simulating the Global Land Carbon Sink?. Journal of Advances in Modeling Earth Systems, 14 (5), e2021MS002946. doi:10.1029/2021MS002946
Rabin, S. S.; Gérard, F. N.; Arneth, A. (2022). The influence of thinning and prescribed burning on future forest fires in fire-prone regions of Europe. Environmental Research Letters, 17 (5), Artkl.Nr.: 055010. doi:10.1088/1748-9326/ac6312
Ti, C.; Han, X.; Chang, S. X.; u. a. (2022). Mitigation of agricultural NH emissions reduces PM pollution in China: A finer scale analysis. Journal of Cleaner Production, 350, Art.-Nr.: 131507. doi:10.1016/j.jclepro.2022.131507
Klaas-Witt, T.; Emeis, S. (2022). The five main influencing factors for lidar errors in complex terrain. Wind Energy Science, 7 (1), 413–431. doi:10.5194/wes-7-413-2022
Preisler, Y.; Hölttä, T.; Grünzweig, J. M.; u. a. (2022). The importance of tree internal water storage under drought conditions. (R. Oren, Hrsg.) Tree Physiology, 42 (4), 771–783. doi:10.1093/treephys/tpab144
Mozaffari, A.; Langguth, M.; Gong, B.; u. a. (2022). HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction. Data Intelligence, 4 (2), 271–285. doi:10.1162/dint_a_00131
Lee, H.; Seo, B.; Cord, A. F.; u. a. (2022). Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration. Ecosystem Services, 54, 101411. doi:10.1016/j.ecoser.2022.101411
Smith, P.; Arneth, A.; Barnes, D. K. A.; u. a. (2022). How do we best synergize climate mitigation actions to co-benefit biodiversity?. Global Change Biology, 28 (8), 2555–2577. doi:10.1111/gcb.16056
Drugă, B.; Ramm, E.; Szekeres, E.; u. a. (2022). Long-term acclimation might enhance the growth and competitive ability of Microcystis aeruginosa in warm environments. Freshwater Biology, 67 (4), 589–602. doi:10.1111/fwb.13865
Amartuvshin, N.; Kim, J.; Cho, N.; u. a. (2022). Local and regional steppe vegetation palatability at grazing hotspot areas in Mongolia. Journal of Ecology and Environment, 46, Art.Nr. 08. doi:10.5141/jee.22.009
Dieng, D.; Cannon, A. J.; Laux, P.; u. a. (2022). Multivariate Bias‐Correction of High‐Resolution Regional Climate Change Simulations for West Africa: Performance and Climate Change Implications. Journal of Geophysical Research: Atmospheres, 127 (5), e2021JD034836. doi:10.1029/2021JD034836
Kim, D.-G.; Bond-Lamberty, B.; Ryu, Y.; u. a. (2022). Ideas and perspectives: Enhancing research and monitoring of carbon pools and land-to-atmosphere greenhouse gases exchange in developing countries. Biogeosciences, 19 (5), 1435–1450. doi:10.5194/bg-19-1435-2022
Zeeman, M.; Holst, C. C.; Kossmann, M.; u. a. (2022). Urban Atmospheric Boundary-Layer Structure in Complex Topography: An Empirical 3D Case Study for Stuttgart, Germany. Frontiers in Earth Science, 10, Art.-Nr.: 840112. doi:10.3389/feart.2022.840112
Rummler, T.; Wagner, A.; Arnault, J.; u. a. (2022). Lateral terrestrial water fluxes in the LSM of WRF‐Hydro: Benefits of a 2D groundwater representation. Hydrological Processes, 36 (3), Art.-Nr.: e14510. doi:10.1002/hyp.14510
Yue, H.; Liu, C.; Zhang, W.; u. a. (2022). How to Improve Cumulative Methane and Nitrous Oxide Flux Estimations of the Non‐Steady‐State Chamber Method?. Journal of Geophysical Research: Biogeosciences, 127 (3), e2021JG006641. doi:10.1029/2021JG006641
Havermann, F.; Ghirardo, A.; Schnitzler, J.-P.; u. a. (2022). Modeling Intra‐ and Interannual Variability of BVOC Emissions From Maize, Oil‐Seed Rape, and Ryegrass. Journal of Advances in Modeling Earth Systems, 14 (3), e2021MS002683. doi:10.1029/2021MS002683
Hornick, T.; Richter, A.; Harpole, W. S.; u. a. (2022). An integrative environmental pollen diversity assessment and its importance for the Sustainable Development Goals. Plants People Planet, 4 (2), 110–121. doi:10.1002/ppp3.10234
Hannigan, J. W.; Ortega, I.; Shams, S. B.; u. a. (2022). Global Atmospheric OCS Trend Analysis From 22 NDACC Stations. Journal of Geophysical Research: Atmospheres, 127 (4), Art-Nr:e2021JD035764. doi:10.1029/2021JD035764
Zhao, Y.; Lin, S.; Lv, H.; u. a. (2022). Increasing the Environmental Sustainability of Greenhouse Vegetable Production by Combining Biochar Application and Drip Fertigation—Effects on Soil NO Emissions and Carbon Sequestrations. Agronomy, 12 (7), Art.-Nr.: 1661. doi:10.3390/agronomy12071661
Godin-Beekmann, S.; Azouz, N.; Sofieva, V. F.; u. a. (2022). Updated trends of the stratospheric ozone vertical distribution in the 60° S–60° N latitude range based on the LOTUS regression model. Atmospheric Chemistry and Physics, 22 (17), 11657–11673. doi:10.5194/acp-22-11657-2022
Martín Belda, D.; Anthoni, P.; Wårlind, D.; u. a. (2022). LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism. Geoscientific Model Development, 15 (17), 6709–6745. doi:10.5194/gmd-15-6709-2022
O’Sullivan, M.; Friedlingstein, P.; Sitch, S.; u. a. (2022). Process-oriented analysis of dominant sources of uncertainty in the land carbon sink. Nature Communications, 13 (1), Art.-Nr.: 4781. doi:10.1038/s41467-022-32416-8
Robinson, D. T.; van Vliet, J.; Brown, C.; u. a. (2022). Identifying data challenges to representing human decision-making in large-scale land-use models. Mapping and Forecasting Land Use, 115–126, Elsevier. doi:10.1016/B978-0-323-90947-1.00013-2
Lorenz, M.; Bliefernicht, J.; Kunstmann, H. (2022). Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble. International Journal of Climatology. doi:10.1002/joc.7649
Heistermann, M.; Bogena, H.; Francke, T.; u. a. (2022). Soil moisture observation in a forested headwater catchment: combining a dense cosmic-ray neutron sensor network with roving and hydrogravimetry at the TERENO site Wüstebach. Earth System Science Data, 14 (5), 2501–2519. doi:10.5194/essd-14-2501-2022
Wanner, L.; Calaf, M.; Mauder, M. (2022). Incorporating the effect of heterogeneous surface heating into a semi-empirical model of the surface energy balance closure. PLOS ONE, 17 (6), e0268097. doi:10.1371/journal.pone.0268097
Xu, W.; Lei, X.; Chen, S.; u. a. (2022). How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature. Frontiers in Environmental Science, 10, Art.-Nr.: 921659. doi:10.3389/fenvs.2022.921659
Lei, X.; Xu, W.; Chen, S.; u. a. (2022). How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part I: Extreme Precipitation. Frontiers in Environmental Science, 10, Art.Nr. 921658. doi:10.3389/fenvs.2022.921658
Fluhrer, A.; Jagdhuber, T.; Tabatabaeenejad, A.; u. a. (2022). Remote Sensing of Complex Permittivity and Penetration Depth of Soils Using P-Band SAR Polarimetry. Remote Sensing, 14 (12), Art.Nr. 2755. doi:10.3390/rs14122755
Winder, S. G.; Lee, H.; Seo, B.; u. a. (2022). An open‐source image classifier for characterizing recreational activities across landscapes. People and Nature. doi:10.1002/pan3.10382
Mwanake, R. M.; Gettel, G. M.; Ishimwe, C.; u. a. (2022). Basin‐scale estimates of greenhouse gas emissions from the Mara River, Kenya: Importance of discharge, stream size, and land use/land cover. Limnology and Oceanography. doi:10.1002/lno.12166
Rausch, T.; Cañadillas, B.; Hampel, O.; u. a. (2022). Wind Lidar and Radiosonde Measurements of Low-Level Jets in Coastal Areas of the German Bight. Atmosphere, 13 (5), Art.Nr. 839. doi:10.3390/atmos13050839
Jana, A.; Jat, M. K.; Saxena, A.; u. a. (2022). Prediction of land use land cover changes of a river basin using the CA-Markov model. Geocarto International. doi:10.1080/10106049.2022.2086634
Noël, S.; Reuter, M.; Buchwitz, M.; u. a. (2022). Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm. Atmospheric Measurement Techniques, 15 (11), 3401–3437. doi:10.5194/amt-15-3401-2022
Zheng, Y.; Wu, S.; Xiao, S.; u. a. (2022). Global methane and nitrous oxide emissions from inland waters and estuaries. Global Change Biology. doi:10.1111/gcb.16233
Fawcett, D.; Cunliffe, A. M.; Sitch, S.; u. a. (2022). Assessing Model Predictions of Carbon Dynamics in Global Drylands. Frontiers in Environmental Science, 10, Art.-Nr.: 790200. doi:10.3389/fenvs.2022.790200
Rubin, Y.; Rostkier-Edelstein, D.; Chwala, C.; u. a. (2022). Challenges in Diurnal Humidity Analysis from Cellular Microwave Links (CML) over Germany. Remote Sensing, 14 (10), Art.-Nr.: 2353. doi:10.3390/rs14102353
Friedlingstein, P.; Jones, M. W.; O’Sullivan, M.; u. a. (2022). Global Carbon Budget 2021. Earth System Science Data, 14 (4), 1917–2005. doi:10.5194/essd-14-1917-2022
Schulz-Stellenfleth, J.; Emeis, S.; Dörenkämper, M.; u. a. (2022). Coastal impacts on offshore wind farms – a review focussing on the German Bight area. Meteorologische Zeitschrift. doi:10.1127/metz/2022/1109
Whitehorn, P. R.; Seo, B.; Comont, R. F.; u. a. (2022). The effects of climate and land use on British bumblebees: Findings from a decade of citizen‐science observations. Journal of Applied Ecology. doi:10.1111/1365-2664.14191
Brunn, M.; Hafner, B. D.; Zwetsloot, M. J.; u. a. (2022). Carbon allocation to root exudates is maintained in mature temperate tree species under drought. New Phytologist. doi:10.1111/nph.18157
Pretzsch, H.; Río, M. del; Grote, R.; u. a. (2022). Tracing drought effects from the tree to the stand growth in temperate and Mediterranean forests: insights and consequences for forest ecology and management. European Journal of Forest Research. doi:10.1007/s10342-022-01451-x
Takeda, N.; Friedl, J.; Kirkby, R.; u. a. (2022). Interaction between soil and fertiliser nitrogen drives plant nitrogen uptake and nitrous oxide (NO) emissions in tropical sugarcane systems. Plant and Soil. doi:10.1007/s11104-022-05458-6
Xing, Z.; Yu, Z.; Wei, J.; u. a. (2022). Lagged influence of ENSO regimes on droughts over the Poyang Lake basin, China. Atmospheric Research, 275, Art.-Nr.: 106218. doi:10.1016/j.atmosres.2022.106218
Ma, J.; Rabin, S. S.; Anthoni, P.; u. a. (2022). Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa. Biogeosciences, 19 (8), 2145–2169. doi:10.5194/bg-19-2145-2022
Ghirardo, A.; Blande, J. D.; Ruehr, N. K.; u. a. (2022). Editorial: Adaptation of Trees to Climate Change: Mechanisms Behind Physiological and Ecological Resilience and Vulnerability. Frontiers in Forests and Global Change, 4, Art.-Nr.: 831701. doi:10.3389/ffgc.2021.831701
Döscher, R.; Acosta, M.; Alessandri, A.; u. a. (2022). The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6. Geoscientific Model Development, 15 (7), 2973–3020. doi:10.5194/gmd-15-2973-2022
Wagner, A.; Fersch, B.; Yuan, P.; u. a. (2022). Assimilation of GNSS and Synoptic Data in a Convection Permitting Limited Area Model: Improvement of Simulated Tropospheric Water Vapor Content. Frontiers in Earth Science, 10, Art.Nr. 869504. doi:10.3389/feart.2022.869504
Wang, Y.; Yao, Z.; Zheng, X.; u. a. (2022). A synthesis of nitric oxide emissions across global fertilized croplands from crop‐specific emission factors. Global Change Biology. doi:10.1111/gcb.16193
Scheer, C.; Rowlings, D. W.; Antille, D. L.; u. a. (2022). Improving nitrogen use efficiency in irrigated cotton production. Nutrient Cycling in Agroecosystems. doi:10.1007/s10705-022-10204-6
Vandenbussche, S.; Langerock, B.; Vigouroux, C.; u. a. (2022). Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment. Remote Sensing, 14 (8), Art.Nr. 1810. doi:10.3390/rs14081810
Sokhi, R. S.; Moussiopoulos, N.; Baklanov, A.; u. a. (2022). Advances in air quality research – current and emerging challenges. Atmospheric Chemistry and Physics, 22 (7), 4615–4703. doi:10.5194/acp-22-4615-2022
Bliefernicht, J.; Rauch, M.; Laux, P.; u. a. (2022). Atmospheric circulation patterns that trigger heavy rainfall in West Africa. International Journal of Climatology. doi:10.1002/joc.7613
Reinermann, S.; Gessner, U.; Asam, S.; u. a. (2022). Detection of Grassland Mowing Events for Germany by Combining Sentinel-1 and Sentinel-2 Time Series. Remote Sensing, 14 (7), Artkl.Nr.: 1647. doi:10.3390/rs14071647
Cui, X.; Shang, Z.; Xia, L.; u. a. (2022). Deceleration of Cropland-NO Emissions in China and Future Mitigation Potentials. Environmental Science and Technology. doi:10.1021/acs.est.1c07276
Abalos, D.; Recous, S.; Butterbach-Bahl, K.; u. a. (2022). A review and meta-analysis of mitigation measures for nitrous oxide emissions from crop residues. Science of the Total Environment, 828, Art.-Nr.: 154388. doi:10.1016/j.scitotenv.2022.154388
Zhang, B.; Zhou, M.; Zhu, B.; u. a. (2022). Soil clay minerals: An overlooked mediator of gross N transformations in Regosolic soils of subtropical montane landscapes. Soil Biology and Biochemistry, 168, Art.-Nr.: 108612. doi:10.1016/j.soilbio.2022.108612
Srivastava, A. K.; Safaei, N.; Khaki, S.; u. a. (2022). Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. Scientific Reports, 12 (1), Art.-Nr.: 3215. doi:10.1038/s41598-022-06249-w
Bogena, H. R.; Schrön, M.; Jakobi, J.; u. a. (2022). COSMOS-Europe: a European network of cosmic-ray neutron soil moisture sensors. Earth System Science Data, 14 (3), 1125–1151. doi:10.5194/essd-14-1125-2022
Lembrechts, J. J.; Hoogen, J.; Aalto, J.; u. a. (2022). Global maps of soil temperature. Global Change Biology. doi:10.1111/gcb.16060
Shin, Y.-J.; Midgley, G. F.; Archer, E. R. M.; u. a. (2022). Actions to halt biodiversity loss generally benefit the climate. Global Change Biology. doi:10.1111/gcb.16109
Thom, D.; Rammer, W.; Laux, P.; u. a. (2022). Will forest dynamics continue to accelerate throughout the 21st century in the Northern Alps?. Global Change Biology. doi:10.1111/gcb.16133
Morrison, T.; Pardyjak, E. R.; Mauder, M.; u. a. (2022). The Heat-Flux Imbalance: The Role of Advection and Dispersive Fluxes on Heat Transport Over Thermally Heterogeneous Terrain. Boundary-Layer Meteorology. doi:10.1007/s10546-021-00687-1
Adeyeri, O. E.; Laux, P.; Ishola, K. A.; u. a. (2022). Homogenising meteorological variables: Impact on trends and associated climate indices. Journal of Hydrology, 607, Art.-Nr.: 127585. doi:10.1016/j.jhydrol.2022.127585
Urban, M. C.; Travis, J. M. J.; Zurell, D.; u. a. (2022). Corrigendum: Coding for Life: Designing a Platform for Projecting and Protecting Global Biodiversity. BioScience, 72 (1), 91–104. doi:10.1093/biosci/biab127
Henry, R. C.; Arneth, A.; Jung, M.; u. a. (2022). Global and regional health and food security under strict conservation scenarios. Nature Sustainability. doi:10.1038/s41893-021-00844-x
Ma, J.; Olin, S.; Anthoni, P.; u. a. (2022). Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285). Geoscientific Model Development, 15 (2), 815–839. doi:10.5194/gmd-15-815-2022
Emeis, S. (2022). Analysis of Some Major Limitations of Analytical Top-Down Wind-Farm Models. Boundary-Layer Meteorology. doi:10.1007/s10546-021-00684-4
Ndung’u, P. W.; Takahashi, T.; Toit, C. J. L. du; u. a. (2022). Farm-level emission intensities of smallholder cattle (Bos indicus; B. indicus–B. taurus crosses) production systems in highlands and semi-arid regions. Animal, 16 (1), Art.-Nr.: 100445. doi:10.1016/j.animal.2021.100445
Kondo, M.; Sitch, S.; Ciais, P.; u. a. (2022). Are Land-Use Change Emissions in Southeast Asia Decreasing or Increasing?. Global Biogeochemical Cycles, 36 (1), Art-Nr:e2020GB006909. doi:10.1029/2020GB006909
Nourani, V.; Khodkar, K.; Paknezhad, N. J.; u. a. (2022). Deep learning-based uncertainty quantification of groundwater level predictions. Stochastic Environmental Research and Risk Assessment. doi:10.1007/s00477-022-02181-7
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