KIT-Campus Alpin - News - Publikationen

2023

Xia, L.; Chen, W.; Lu, B.; u. a. (2023). Climate mitigation potential of sustainable biochar production in China. Renewable and Sustainable Energy Reviews, 175, Art.-Nr.: 113145. doi:10.1016/j.rser.2023.113145

Friedl, J.; Warner, D.; Wang, W.; u. a. (2023). Strategies for mitigating N2O and N2 emissions from an intensive sugarcane cropping system. Nutrient Cycling in Agroecosystems, 125 (2), 295–308. doi:10.1007/s10705-023-10262-4

Lee, H.; Pugh, T. A. M.; Patacca, M.; u. a. (2023). Three billion new trees in the EU’s biodiversity strategy: low ambition, but better environmental outcomes?. Environmental Research Letters, 18 (3), Art.-Nr.: 034020. doi:10.1088/1748-9326/acb95c

Zhang, W.; Jung, M.; Migliavacca, M.; u. a. (2023). The effect of relative humidity on eddy covariance latent heat flux measurements and its implication for partitioning into transpiration and evaporation. Agricultural and Forest Meteorology, 330, Art.Nr. 109305. doi:10.1016/j.agrformet.2022.109305

Olschewski, P.; Laux, P.; Wei, J.; u. a. (2023). An ensemble-based assessment of bias adjustment performance, changes in hydrometeorological predictors and compound extreme events in EAS-CORDEX. Weather and Climate Extremes, 39, Art.-Nr.: 100531. doi:10.1016/j.wace.2022.100531

Polz, J.; Graf, M.; Chwala, C. (2023). Missing Rainfall Extremes in Commercial Microwave Link Data Due To Complete Loss of Signal. Earth and Space Science, 10 (2). doi:10.1029/2022EA002456

Speidel, J.; Vogelmann, H. (2023). Correct(ed) Klett–Fernald algorithm for elastic aerosol backscatter retrievals: a sensitivity analysis. Applied Optics, 62 (4), 861–868. doi:10.1364/AO.465944

Feldmann, D.; Laux, P.; Heckl, A.; u. a. (2023). Near surface roughness estimation: A parameterization derived from artificial rainfall experiments and two-dimensional hydrodynamic modelling for multiple vegetation coverages. Journal of Hydrology, 617 (Part A), Art.-Nr.: 128786. doi:10.1016/j.jhydrol.2022.128786

Lapola, D. M.; Pinho, P.; Barlow, J.; u. a. (2023). The drivers and impacts of Amazon forest degradation. Science, 379 (6630), Art.-Nr.: eabp8622. doi:10.1126/science.abp8622

Djibo, M.; Ouedraogo, W. Y. S. B.; Doumounia, A.; u. a. (2023). Towards Innovative Solutions for Monitoring Precipitation in Poorly Instrumented Regions: Real-Time System for Collecting Power Levels of Microwave Links of Mobile Phone Operators for Rainfall Quantification in Burkina Faso. Applied System Innovation, 6 (1), 4. doi:10.3390/asi6010004

Okello, J.; Bauters, M.; Verbeeck, H.; u. a. (2023). Temperature sensitivity of soil organic carbon respiration along a forested elevation gradient in the Rwenzori Mountains, Uganda. Biogeosciences, 20 (3), 719–735. doi:10.5194/bg-20-719-2023

Mortey, E. M.; Annor, T.; Arnault, J.; u. a. (2023). Interactions between Climate and Land Cover Change over West Africa. Land, 12 (2), Art.-Nr.: 355. doi:10.3390/land12020355

Zavadilová, I.; Szatniewska, J.; Petrík, P.; u. a. (2023). Sap flow and growth response of Norway spruce under long-term partial rainfall exclusion at low altitude. Frontiers in Plant Science, 14, Art.-Nr.: 1089706. doi:10.3389/fpls.2023.1089706

Cañadillas, B.; Wang, S.; Ahlert, Y.; u. a. (2023). Coastal horizontal wind speed gradients in the North Sea based on observations and ERA5 reanalysis data. Meteorologische Zeitschrift. doi:10.1127/metz/2022/1166

Xia, L.; Cao, L.; Yang, Y.; u. a. (2023). Integrated biochar solutions can achieve carbon-neutral staple crop production. Nature Food. doi:10.1038/s43016-023-00694-0

Srivastava, A. K.; Ewert, F.; Akinwumiju, A. S.; u. a. (2023). Cassava yield gap—A model-based assessment in Nigeria. Frontiers in Sustainable Food Systems, 6, Art.-Nr.: 1058775. doi:10.3389/fsufs.2022.1058775

Arab, L.; Hoshika, Y.; Paoletti, E.; u. a. (2023). Chronic ozone exposure impairs the mineral nutrition of date palm (Phoenix dactylifera) seedlings. Science of The Total Environment, 862, Art.-Nr.: 160675. doi:10.1016/j.scitotenv.2022.160675

2022

Wiens, M.; Klein, M.; Schultmann, F. (2022). Border Region Attachment: An Empirical Study on Regional Social Capital in the French–German Border Area. CESifo Economic Studies, 68 (4), 362–390. doi:10.1093/cesifo/ifac010

Paleri, S.; Desai, A. R.; Metzger, S.; u. a. (2022). Space‐Scale Resolved Surface Fluxes Across a Heterogeneous, Mid‐Latitude Forested Landscape. Journal of Geophysical Research: Atmospheres, 127 (23), Art.Nr:e2022JD037138. doi:10.1029/2022JD037138

Petrovic, D.; Fersch, B.; Kunstmann, H. (2022). Droughts in Germany: performance of regional climate models in reproducing observed characteristics. Natural Hazards and Earth System Sciences, 22 (12), 3875–3895. doi:10.5194/nhess-22-3875-2022

Senatore, A.; Gochis, D. J. J.; Kunstmann, H.; u. a. (2022). Preface – special issue on “coupled atmosphere‐hydrological processes: Novel system developments and cross‐compartment evaluations”. Hydrological Processes, 36 (12), Art.Nr. e14780. doi:10.1002/hyp.14780

Yao, Z.; Yan, G.; Ma, L.; u. a. (2022). Soil C/N ratio is the dominant control of annual N

_{2}

O fluxes from organic soils of natural and semi-natural ecosystems. Agricultural and Forest Meteorology, 327, Art.Nr. 109198. doi:10.1016/j.agrformet.2022.109198

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

Arnault, J.; Niezgoda, K.; Jung, G.; u. a. (2022). Disentangling the Contribution of Moisture Source Change to Isotopic Proxy Signatures: Deuterium Tracing with WRF-Hydro-Iso-Tag and Application to Southern African Holocene Sediment Archives. Journal of Climate, 35 (22), 3855–3879. doi:10.1175/JCLI-D-22-0041.1

Shang, S.; Arnault, J.; Zhu, G.; u. a. (2022). Recent Increase of Spring Precipitation over the Three-River Headwaters Region—Water Budget Analysis Based on Global Reanalysis (ERA5) and ET-Tagging Extended Regional Climate Modeling. Journal of Climate, 35 (22), 3599–3617. doi:10.1175/JCLI-D-21-0829.1

Friedlingstein, P.; O’Sullivan, M.; Jones, M. W.; u. a. (2022). Global Carbon Budget 2022. Earth System Science Data, 14 (11), 4811–4900. doi:10.5194/essd-14-4811-2022

Grados, D.; Butterbach-Bahl, K.; Chen, J.; u. a. (2022). Synthesizing the evidence of nitrous oxide mitigation practices in agroecosystems. Environmental Research Letters, 17 (11), Art.-Nr.: 114024. doi:10.1088/1748-9326/ac9b50

Brown, C.; Seo, B.; Alexander, P.; u. a. (2022). Agent‐Based Modeling of Alternative Futures in the British Land Use System. Earth’s Future, 10 (11), Art.: e2022EF002905. doi:10.1029/2022EF002905

Lan, C.; Liu, H.; Katul, G. G.; u. a. (2022). Turbulence Structures in the Very Stable Boundary Layer Under the Influence of Wind Profile Distortion. Journal of Geophysical Research: Atmospheres, 127 (20), Art.: e2022JD036565. doi:10.1029/2022JD036565

Blettner, N.; Chwala, C.; Haese, B.; u. a. (2022). Combining Commercial Microwave Link and Rain Gauge Observations to Estimate Countrywide Precipitation: A Stochastic Reconstruction and Pattern Analysis Approach. Water Resources Research, 58 (10), Art.: e2022WR032563. doi:10.1029/2022WR032563

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, 31 (4), 289–315. doi:10.1127/metz/2022/1109

Vogelmann, H.; Speidel, J.; Perfahl, M.; u. a. (2022). Transverse-pumping approach for a powerful single-mode Ti:sapphire laser for near infrared lidar applications. Applied Optics, 61 (29), 8553–8562. doi:10.1364/AO.463257

Desai, A. R.; Paleri, S.; Mineau, J.; u. a. (2022). Scaling Land‐Atmosphere Interactions: Special or Fundamental?. Journal of Geophysical Research: Biogeosciences, 127 (10), e2022JG007097. doi:10.1029/2022JG007097

Mousavian, R.; Mashhadi Hossainali, M.; Mashhadi Hossainali, M.; u. a. (2022). Copula, a new approach for optimum design of Voxel-based GNSS tropospheric tomography based on the atmospheric dynamics. GPS Solutions, 26 (4), Art.Nr. 149. doi:10.1007/s10291-022-01340-1

Winder, S. G.; Lee, H.; Seo, B.; u. a. (2022). An open‐source image classifier for characterizing recreational activities across landscapes. People and Nature, 4 (5), 1249–1262. doi:10.1002/pan3.10382

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

Bhagat, S. K.; Tiyasha, T.; Al-khafaji, Z.; u. a. (2022). Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction. Complexity, 2022, Art.Nr. 1047309. doi:10.1155/2022/1047309

Lorenz, M.; Kilchert, F.; Nürnberg, P.; u. a. (2022). Local Volume Conservation in Concentrated Electrolytes Is Governing Charge Transport in Electric Fields. The Journal of Physical Chemistry Letters, 13 (37), 8761–8767. doi:10.1021/acs.jpclett.2c02398

Ti, C.; Yan, X.; Xia, L.; u. a. (2022). Improving nitrogen safety in China: Nitrogen flows, pollution and control. Frontiers of Agricultural Science and Engineering, 9 (3), 465–474. doi:10.15302/J-FASE-2022454

Ferretto, A.; Matthews, R.; Brooker, R.; u. a. (2022). Planetary Boundaries and the Doughnut frameworks: A review of their local operability. Anthropocene, 39, Art.-Nr.: 100347. doi:10.1016/j.ancene.2022.100347

Wangari, E. G.; Mwanake, R. M.; Kraus, D.; u. a. (2022). Number of Chamber Measurement Locations for Accurate Quantification of Landscape‐Scale Greenhouse Gas Fluxes: Importance of Land Use, Seasonality, and Greenhouse Gas Type. Journal of Geophysical Research: Biogeosciences, 127 (9), Nr. e2022JG006901. doi:10.1029/2022JG006901

Murray-Tortarolo, G.; Poulter, B.; Vargas, R.; u. a. (2022). A Process‐Model Perspective on Recent Changes in the Carbon Cycle of North America. Journal of Geophysical Research: Biogeosciences, 127 (9), e2022JG006904. doi:10.1029/2022JG006904

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

Yuan, K.; Zhu, Q.; Li, F.; u. a. (2022). Causality guided machine learning model on wetland CH

_{4}

emissions across global wetlands. Agricultural and Forest Meteorology, 324, Art.-Nr.: 109115. doi:10.1016/j.agrformet.2022.109115

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 N

_{2}

O emission despite more N

_{2}

O being reduced to N

_{2}

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

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, 67 (8), 1776–1793. doi:10.1002/lno.12166

Zheng, Y.; Wu, S.; Xiao, S.; u. a. (2022). Global methane and nitrous oxide emissions from inland waters and estuaries. Global Change Biology, 28 (15), 4713–4725. doi:10.1111/gcb.16233

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

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, 235 (3), 965–977. doi:10.1111/nph.18157

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

Rehschuh, R.; Ruehr, N. K. (2022). Diverging responses of water and carbon relations during and after heat and hot drought stress in Pinus sylvestris. (D. Tissue, Hrsg.) Tree Physiology, 42 (8), 1532–1548. doi:10.1093/treephys/tpab141

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

_{2}

and N

_{2}

O 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

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, 28 (14), 4395–4408. doi:10.1111/gcb.16193

Qasim, W.; Wan, L.; Lv, H.; u. a. (2022). Impact of anaerobic soil disinfestation on seasonal N

_{2}

O 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

De Rosa, D.; Biala, J.; Nguyen, T. H.; u. a. (2022). Environmental and economic trade‐offs of using composted or stockpiled manure as partial substitute for synthetic fertilizer. Journal of environmental quality, 51 (4), 589–601. doi:10.1002/jeq2.20255

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 N

_{2}

O 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 N

_{2}

O 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

_{3}

emissions reduces PM

_{2.5}

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

Li, C.; Budde, M.; Tremper, P.; u. a. (2022). SmartAQnet 2020: A New Open Urban Air Quality Dataset from Heterogeneous PM Sensors. ProScience, 8. doi:10.14644/dust2021.001

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

Hikino, K.; Danzberger, J.; Riedel, V. P.; u. a. (2022). High resilience of carbon transport in long-term drought-stressed mature Norway spruce trees within 2 weeks after drought release. Global Change Biology, 28 (6), 2095–2110. doi:10.1111/gcb.16051

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

Janz, B.; Havermann, F.; Lashermes, G.; u. a. (2022). Effects of crop residue incorporation and properties on combined soil gaseous N

_{2}

O, NO, and NH

_{3}

emissions—A laboratory-based measurement approach. Science of the Total Environment, 807 (2), Art.-Nr.: 151051. doi:10.1016/j.scitotenv.2021.151051

Redlich, S.; Zhang, J.; Benjamin, C.; u. a. (2022). Disentangling effects of climate and land use on biodiversity and ecosystem services—A multi-scale experimental design. Methods in Ecology and Evolution, 13 (2), 514–527. doi:10.1111/2041-210X.13759

Lashermes, G.; Recous, S.; Alavoine, G.; u. a. (2022). N

_{2}

O emissions from decomposing crop residues are strongly linked to their initial soluble fraction and early C mineralization. Science of the Total Environment, 806 (4), Art.-Nr.: 150883. doi:10.1016/j.scitotenv.2021.150883

Smerald, A.; Fuchs, K.; Kraus, D.; u. a. (2022). Significant Global Yield-Gap Closing Is Possible Without Increasing the Intensity of Environmentally Harmful Nitrogen Losses. Frontiers in Sustainable Food Systems, 6, Art.-Nr.: 736394. doi:10.3389/fsufs.2022.736394

Alexander, P.; Arneth, A.; Henry, R.; u. a. (2022). High energy and fertilizer prices are more damaging than food export curtailment from Ukraine and Russia for food prices, health and the environment. Nature Food, 4 (1), 84–95. doi:10.1038/s43016-022-00659-9

Ndiaye, A.; Moussa, M. S.; Dione, C.; u. a. (2022). Projected Changes in Solar PV and Wind Energy Potential over West Africa: An Analysis of CORDEX-CORE Simulations. Energies, 15 (24), Art.-Nr.: 9602. doi:10.3390/en15249602

Achugbu, I. C.; Laux, P.; Olufayo, A. A.; u. a. (2022). The impacts of land use and land cover change on biophysical processes in West Africa using a regional climate model experimental approach. International Journal of Climatology, 43 (4), 1731–1755. doi:10.1002/joc.7943

Harmáčková, Z. V.; Pedde, S.; Bullock, J. M.; u. a. (2022). Improving regional applicability of the UK shared socioeconomic Pathways through iterative participatory co-design. Climate Risk Management, 37, Artkl.Nr.: 100452. doi:10.1016/j.crm.2022.100452

Petrík, P.; Grote, R.; Gömöry, D.; u. a. (2022). The Role of Provenance for the Projected Growth of Juvenile European Beech under Climate Change. Forests, 14 (1), Art.-Nr.: 26. doi:10.3390/f14010026

Junkermann, W. (2022). Ultrafine Particle Emissions in the Mediterranean. Atmospheric Chemistry in the Mediterranean Region. Ed.: F. Dulac. Vol. 2, 105–123, Springer Nature Switzerland AG. doi:10.1007/978-3-030-82385-6_6

Emeis, S.; Fallmann, J. (2022). Unsatisfying Transfer of Climate Research to Urban Planning: The Regulatory Trap in the Triple Helix. Triple Helix, 1–21. doi:10.1163/21971927-bja10035

Ndung’u, P. W.; du Toit, C. J. L.; Takahashi, T.; u. a. (2022). A simplified approach for producing Tier 2 enteric-methane emission factors based on East African smallholder farm data. Animal Production Science, 63 (3), 227–236. doi:10.1071/AN22082

Behling, R.; Roessner, S.; Foerster, S.; u. a. (2022). Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series. Scientific Reports, 12, Art.-Nr.: 20784. doi:10.1038/s41598-022-24712-6

Adeyeri, O. E.; Zhou, W.; Wang, X.; u. a. (2022). The trend and spatial spread of multisectoral climate extremes in CMIP6 models. Scientific Reports, 12, Art.-Nr.: 21000. doi:10.1038/s41598-022-25265-4

Fersch, B.; Kamm, B.; Shehaj, E.; u. a. (2022). A comprehensive high resolution data collection for tropospheric water vapor assessment for the Upper Rhine Graben, Germany. doi:10.1594/PANGAEA.936447

Fersch, B.; Wagner, A.; Kamm, B.; u. a. (2022). Tropospheric water vapor: a comprehensive high-resolution data collection for the transnational Upper Rhine Graben region. Earth System Science Data, 14 (12), 5287–5307. doi:10.5194/essd-14-5287-2022

Butterbach-Bahl, K.; Kraus, D.; Kiese, R.; u. a. (2022). Activity data on crop management define uncertainty of CH

_{4}

and N

_{2}

O emission estimates from rice: A case study of Vietnam. Journal of Plant Nutrition and Soil Science, 185 (6), 793–806. doi:10.1002/jpln.202200382

Colbois, J.; Vanhecke, B.; Vanderstraeten, L.; u. a. (2022). Partial lifting of degeneracy in the

J_{1} - J_{2} - J_{3}

Ising antiferromagnet on the kagome lattice. Physical Review B, 106 (17), Art.-Nr.: 174403. doi:10.1103/PhysRevB.106.174403

Korir, D.; Marquardt, S.; Eckard, R.; u. a. (2022). Weight gain and enteric methane production of cattle fed on tropical grasses. Animal Production Science, 63 (2), 120–132. doi:10.1071/AN21327

Gattmann, M.; McAdam, S. A. M.; Birami, B.; u. a. (2022). Anatomical adjustments of the tree hydraulic pathway decrease canopy conductance under long-term elevated CO

_{2}

. Plant Physiology, 191 (1), 252–264. doi:10.1093/plphys/kiac482

Cué Rio, M.; Bovenkerk, B.; Castella, J.-C.; u. a. (2022). The elephant in the room is really a cow: using consumption corridors to define sustainable meat consumption in the European Union. Sustainability Science. doi:10.1007/s11625-022-01235-7

Ćelepirović, N.; Bogunović, S.; Dounavi, A.; u. a. (2022). Phosphorus Nutrition and Water Relations of European Beech (Fagus sylvatica L.) Saplings Are Determined by Plant Origin. Forests, 13 (10), Art.-Nr.: 1683. doi:10.3390/f13101683

Yang, F.; Du, B.; Burzlaff, T.; u. a. (2022). Memory Effects of Water Deprivation in European Beech (Fagus sylvatica L.) and Silver Fir (Abies alba Mill.) Seedlings Grown in Mixed Cultivation. Forests, 13 (10), Art.-Nr.: 1704. doi:10.3390/f13101704

Salack, S.; Sanfo, S.; Sanfo, S.; u. a. (2022). Low-cost adaptation options to support green growth in agriculture, water resources, and coastal zones. Scientific Reports, 12 (1), 1–16. doi:10.1038/s41598-022-22331-9

Xu, W.; Zhang, M.; Hu, Z.; u. a. (2022). Spatial and temporal heterogeneity of tropical cyclone precipitation over China from 1959 to 2018. Frontiers in Environmental Science, 10, Art.-Nr.: 984395. doi:10.3389/fenvs.2022.984395

Kunz, M.; Abbas, S. S.; Bauckholt, M.; u. a. (2022). Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains. Frontiers in Earth Science, 10, Art.Nr. 999593. doi:10.3389/feart.2022.999593

Schreiber, M.; Bazaios, E.; Ströbel, B.; u. a. (2022). Impacts of slurry acidification and injection on fertilizer nitrogen fates in grassland. Nutrient Cycling in Agroecosystems, 125 (2), 171–186. doi:10.1007/s10705-022-10239-9

Petrík, P.; Zavadilová, I.; Šigut, L.; u. a. (2022). Impact of Environmental Conditions and Seasonality on Ecosystem Transpiration and Evapotranspiration Partitioning (T/ET Ratio) of Pure European Beech Forest. Water, 14 (19), Art.-Nr.: 3015. doi:10.3390/w14193015

Boeing, F.; Rakovec, O.; Kumar, R.; u. a. (2022). High-resolution drought simulations and comparison to soil moisture observations in Germany. Hydrology and Earth System Sciences, 26 (19), 5137–5161. doi:10.5194/hess-26-5137-2022

Zhang, M.; Xu, W.; Hu, Z.; u. a. (2022). Projection of future climate change in the Poyang Lake Basin of China under the global warming of 1.5–3°C. Frontiers in Environmental Science, 10, Art.Nr. 985145. doi:10.3389/fenvs.2022.985145

Bastos, A.; Ciais, P.; Sitch, S.; u. a. (2022). On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Carbon Balance and Management, 17 (1), Art.Nr. 15. doi:10.1186/s13021-022-00214-w

Mahnken, M.; Cailleret, M.; Collalti, A.; u. a. (2022). Accuracy, realism and general applicability of European forest models. Global Change Biology, 28 (23), 6921–6943. doi:10.1111/gcb.16384

Lam, S. K.; Xia, L.; Chen, D. (2022). Boosting the benefits of compost. Nature Food, 3 (9), 682–683. doi:10.1038/s43016-022-00597-6

Franco-Luesma, S.; Lafuente, V.; Alonso-Ayuso, M.; u. a. (2022). Maize diversification and nitrogen fertilization effects on soil nitrous oxide emissions in irrigated mediterranean conditions. Frontiers in Environmental Science, 10, Art.Nr. 914851. doi:10.3389/fenvs.2022.914851

Pace, R.; Chiocchini, F.; Sarti, M.; u. a. (2022). Integrating Copernicus land cover data into the i-Tree Cool Air model to evaluate and map urban heat mitigation by tree cover. European Journal of Remote Sensing. doi:10.1080/22797254.2022.2125833

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 N

_{2}

O 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

Hikino, K.; Danzberger, J.; Riedel, V. P.; u. a. (2022). Dynamics of initial carbon allocation after drought release in mature Norway spruce—Increased belowground allocation of current photoassimilates covers only half of the carbon used for fine‐root growth. Global Change Biology, 28 (23), 6889–6905. doi:10.1111/gcb.16388

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, 42 (12), 6596–6615. 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

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, 37 (26), 14127–14147. doi:10.1080/10106049.2022.2086634

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, 43 (1), 314–330. doi:10.1002/joc.7761

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

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

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, 59 (7), 1837–1851. doi:10.1111/1365-2664.14191

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, 141, 727–751. 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 (N

_{2}

O) emissions in tropical sugarcane systems. Plant and Soil, 477, 647–663. 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

Scheer, C.; Rowlings, D. W.; Antille, D. L.; u. a. (2022). Improving nitrogen use efficiency in irrigated cotton production. Nutrient Cycling in Agroecosystems, 125 (2), 95–106. 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, 42 (12), 6515–6536. 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-N

_{2}

O Emissions in China and Future Mitigation Potentials. Environmental Science and Technology, 56 (7), 4665–4675. 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, 28 (9), 3110–3144. 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, 28 (9), 2846–2874. 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, 28 (10), 3260–3274. 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, 183 (2), 227–247. 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, 5, 303–310. 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, 36 (10), 3081–3107. doi:10.1007/s00477-022-02181-7

Pan, B.; Xia, L.; Lam, S. K.; u. a. (2022). A global synthesis of soil denitrification: Driving factors and mitigation strategies. Agriculture, Ecosystems and Environment, 327, Art.-Nr.: 107850. doi:10.1016/j.agee.2021.107850

Vogl, S.; Laux, P.; Bialas, J.; u. a. (2022). Modelling Precipitation Intensities from X-Band Radar Measurements Using Artificial Neural Networks—A Feasibility Study for the Bavarian Oberland Region. Water (Switzerland), 14 (3), Art.-Nr.: 276. doi:10.3390/w14030276

Barthel, M.; Bauters, M.; Baumgartner, S.; u. a. (2022). Low N

_{2}

O and variable CH

_{4}

fluxes from tropical forest soils of the Congo Basin. Nature Communications, 13 (1), Art.-Nr.: 330. doi:10.1038/s41467-022-27978-6

Taylor, T. E.; O’Dell, C. W.; Crisp, D.; u. a. (2022). An 11-year record of XCO₂ estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm. Earth system science data, 14 (1), 325–360. doi:10.5194/essd-14-325-2022

Wassmann, R.; Van-Hung, N.; Yen, B. T.; u. a. (2022). Carbon Footprint Calculator Customized for Rice Products: Concept and Characterization of Rice Value Chains in Southeast Asia. Sustainability (Switzerland), 14 (1), 315. doi:10.3390/su14010315

Muller, J.; De Rosa, D.; Friedl, J.; u. a. (2022). Combining nitrification inhibitors with a reduced N rate maintains yield and reduces N

_{2}

O emissions in sweet corn. Nutrient Cycling in Agroecosystems, 125 (2), 107–121. doi:10.1007/s10705-021-10185-y

Ramm, E.; Liu, C.; Ambus, P.; u. a. (2022). A review of the importance of mineral nitrogen cycling in the plant-soil-microbe system of permafrost-affected soils—changing the paradigm. Environmental research letters, 17 (1), 013004. doi:10.1088/1748-9326/ac417e

Abalos, D.; Rittl, T. F.; Recous, S.; u. a. (2022). Predicting field N

_{2}

O emissions from crop residues based on their biochemical composition: A meta-analytical approach. Science of the Total Environment, 812, Art.-Nr.: 152532. doi:10.1016/j.scitotenv.2021.152532

Yu, H.; Zhang, G.; Xia, L.; u. a. (2022). Elevated CO

_{2}

does not necessarily enhance greenhouse gas emissions from rice paddies. Science of the Total Environment, 810, Art.-Nr.: 152363. doi:10.1016/j.scitotenv.2021.152363

Arab, L.; Seegmueller, S.; Kreuzwieser, J.; u. a. (2022). Significance of current weather conditions for foliar traits of old-growth sessile oak (Quercus petraea Liebl) trees. Trees - Structure and Function, 36, 777–791. doi:10.1007/s00468-021-02249-x

Wei, J.; Zhang, X.; Xia, L.; u. a. (2022). Role of chemical reactions in the nitrogenous trace gas emissions and nitrogen retention: A meta-analysis. Science of the Total Environment, 808, Art.-Nr.: 152141. doi:10.1016/j.scitotenv.2021.152141

Nguyen, D. H.; Grace, P. R.; Rowlings, D. W.; u. a. (2022). The fate of urea ¹⁵N in a subtropical rain-fed maize system: influence of organic amendments. Soil research, 60 (3), 252–261. doi:10.1071/SR21101

Wolz, K.; Leitner, S.; Merbold, L.; u. a. (2022). Enteric methane emission estimates for Kenyan cattle in a nighttime enclosure using a backward Lagrangian Stochastic dispersion technique. Theoretical and Applied Climatology, 147, 1091–1103. doi:10.1007/s00704-021-03868-7

Qasim, W.; Zhao, Y.; Wan, L.; u. a. (2022). The potential importance of soil denitrification as a major N loss pathway in intensive greenhouse vegetable production systems. Plant and Soil, 471, 157–174. doi:10.1007/s11104-021-05187-2

Zhang, Z.; Arnault, J.; Laux, P.; u. a. (2022). Convection-permitting fully coupled WRF-Hydro ensemble simulations in high mountain environment: impact of boundary layer- and lateral flow parameterizations on land–atmosphere interactions. Climate Dynamics, 59, 1355–1376. doi:10.1007/s00382-021-06044-9

Yan, X.; Xia, L.; Ti, C. (2022). Temporal and spatial variations in nitrogen use efficiency of crop production in China. Environmental Pollution, 293, Art.-Nr.: 118496. doi:10.1016/j.envpol.2021.118496

Urban, M. C.; Travis, J. M. J.; Zurell, D.; u. a. (2022). Coding for Life: Designing a Platform for Projecting and Protecting Global Biodiversity. BioScience, 72 (1), 91–104. doi:10.1093/biosci/biab099

Platis, A.; Hundhausen, M.; Lampert, A.; u. a. (2022). The Role of Atmospheric Stability and Turbulence in Offshore Wind-Farm Wakes in the German Bight. Boundary-Layer Meteorology, 182, 441–469. doi:10.1007/s10546-021-00668-4

2021

Gao, L.; Deng, H.; Lei, X.; u. a. (2021). Evidence of elevation-dependent warming from the Chinese Tian Shan. Cryosphere, 15 (12), 5765–5783. doi:10.5194/tc-15-5765-2021

Xia, L.; Lam, S. K.; Kiese, R.; u. a. (2021). Elevated CO

_{2}

negates O

_{3}

impacts on terrestrial carbon and nitrogen cycles. One Earth, 4 (12), 1752–1763. doi:10.1016/j.oneear.2021.11.009

Mauder, M.; Ibrom, A.; Wanner, L.; u. a. (2021). Options to correct local turbulent flux measurements for large-scale fluxes using an approach based on large-eddy simulation. Atmospheric Measurement Techniques, 14 (12), 7835–7850. doi:10.5194/amt-14-7835-2021

Larbi, I.; Hountondji, F. C. C.; Dotse, S.-Q.; u. a. (2021). Local climate change projections and impact on the surface hydrology in the Vea catchment, West Africa. Hydrology Research, 52 (6), 1200–1215. doi:10.2166/NH.2021.096

Zhang, Z.; Arnault, J.; Laux, P.; u. a. (2021). Diurnal cycle of surface energy fluxes in high mountain terrain: High-resolution fully coupled atmosphere-hydrology modelling and impact of lateral flow. Hydrological Processes, 35 (12), Art.-Nr. e14454. doi:10.1002/hyp.14454

Pastorello, G.; Trotta, C.; Canfora, E.; u. a. (2021). Author Correction: The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Scientific data, 8 (1), 72. doi:10.1038/s41597-021-00851-9

Zhu, Y.; Butterbach-Bahl, K.; Merbold, L.; u. a. (2021). Nitrous oxide emission factors for cattle dung and urine deposited onto tropical pastures: A review of field-based studies. Agriculture, Ecosystems and Environment, 322, Art.-Nr.: 107637. doi:10.1016/j.agee.2021.107637

Portele, T. C.; Lorenz, C.; Dibrani, B.; u. a. (2021). Seasonal forecasts offer economic benefit for hydrological decision making in semi-arid regions. Scientific reports, 11 (1), Art.-Nr.: 10581. doi:10.1038/s41598-021-89564-y

Winkler, K.; Fuchs, R.; Rounsevell, M.; u. a. (2021). Global land use changes are four times greater than previously estimated. Nature Communications, 12 (1), Artikel-Nr.: 2501. doi:10.1038/s41467-021-22702-2

Emeis, S.; Wilbert, S. (2021). Measurement Systems for Wind, Solar and Hydro Power Applications. Springer Handbook of Atmospheric Measurements. Ed.: T. Foken, 1369–1390, Springer International Publishing. doi:10.1007/978-3-030-52171-4_51

Emeis, S. (2021). Sodar and RASS. Springer Handbook of Atmospheric Measurements. Ed.: T. Foken, 661–682, Springer International Publishing. doi:10.1007/978-3-030-52171-4_23

Rahimi, J.; Haas, E.; Grote, R.; u. a. (2021). Beyond livestock carrying capacity in the Sahelian and Sudanian zones of West Africa. Scientific reports, 11, Article no: 22094. doi:10.1038/s41598-021-01706-4

Cade, S. M.; Clemitshaw, K. C.; Molina-Herrera, S.; u. a. (2021). Evaluation of LandscapeDNDC Model Predictions of CO

_{2}

and N

_{2}

O Fluxes from an Oak Forest in SE England. Forests, 12 (11), 1517. doi:10.3390/f12111517

Ma, L.; Zhang, W.; Zheng, X.; u. a. (2021). Attempt to correct grassland N2O fluxes biased by the DN-based opaque static chamber measurement. Atmospheric environment, 264, Art. Nr.: 118687. doi:10.1016/j.atmosenv.2021.118687

Metzger, S.; Durden, D.; Paleri, S.; u. a. (2021). Novel approach to observing system simulation experiments improves information gain of surface-atmosphere field measurements. Atmospheric Measurement Techniques, 14 (11), 6929–6954. doi:10.5194/amt-14-6929-2021

Jägermeyr, J.; Müller, C.; Ruane, A. C.; u. a. (2021). Climate impacts on global agriculture emerge earlier in new generation of climate and crop models. Nature Food, 2, 873–885. doi:10.1038/s43016-021-00400-y

Schäfer, K.; Budde, M.; Cyrys, J.; u. a. (2021). Hochaufgelöste Erfassung der urbanen Feinstaubbelastung mittels Messnetz aus kostengünstigen Sensoren und numerischen Simulationen. Gefahrstoffe, Reinhaltung der Luft, 81 (9-10), 353–361.

Arneth, A.; Olsson, L.; Cowie, A.; u. a. (2021). Restoring Degraded Lands. Annual review of environment and resources, 46, 569–599. doi:10.1146/annurev-environ-012320-054809

Mitchell, E.; Scheer, C.; Rowlings, D.; u. a. (2021). Important constraints on soil organic carbon formation efficiency in subtropical and tropical grasslands. Global change biology, 27 (20), 5383–5391. doi:10.1111/gcb.15807

Lei, X.; Gao, L.; Ma, M.; u. a. (2021). Does non-stationarity of extreme precipitation exist in the Poyang Lake Basin of China?. Journal of Hydrology: Regional Studies, 37, Art.-Nr.: 100920. doi:10.1016/j.ejrh.2021.100920

Prestele, R.; Brown, C.; Polce, C.; u. a. (2021). Large variability in response to projected climate and land‐use changes among European bumblebee species. Global change biology, 27 (19), 4530–4545. doi:10.1111/gcb.15780