Publikationen
Amadeus Bramsiepe, KIT
2022
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
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
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
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
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
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). 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
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
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
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
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
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
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
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
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 NO and variable CH 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 NO emissions in sweet corn. Nutrient Cycling in Agroecosystems. 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 NO 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 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
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
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
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 negates O 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 and NO 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
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
Albrecht, J.; Peters, M. K.; Becker, J. N.; u. a. (2021). Species richness is more important for ecosystem functioning than species turnover along an elevational gradient. Nature Ecology and Evolution, 5, 1582–1593. doi:10.1038/s41559-021-01550-9
Patil, A.; Fersch, B.; Hendricks Franssen, H.-J.; u. a. (2021). Assimilation of Cosmogenic Neutron Counts for Improved Soil Moisture Prediction in a Distributed Land Surface Model. Frontiers in Water, 3, Art.-Nr. 729592. doi:10.3389/frwa.2021.729592
Emeis, S. (2021). Licht und Leben, Feuer und Tod - Dialektik des Phosphors. Phosphor - Fluch und Segen eines Elements. Hrsg.: S. Emeis, 55–69, Oekom Verlag.
Emeis, S.; Kerstin Schlögl-Flierl (Hrsg.). (2021). Phosphor - Fluch und Segen eines Elements. Oekom Verlag.
Nadal-Sala, D.; Grote, R.; Birami, B.; u. a. (2021). Leaf Shedding and Non-Stomatal Limitations of Photosynthesis Mitigate Hydraulic Conductance Losses in Scots Pine Saplings During Severe Drought Stress. Frontiers in plant science, 12, Art. Nr.: 715127. doi:10.3389/fpls.2021.715127
Brown, C. (2021). Quantitative modelling and computer simulation. The Routledge Handbook of Landscape Ecology. Eds.: Robert A. Francis, James D.A. Millington, George L.W. Perry, Emily S. Minor.
Carbonell, V.; Merbold, L.; Díaz-Pinés, E.; u. a. (2021). Nitrogen cycling in pastoral livestock systems in Sub-Saharan Africa: knowns and unknowns. Ecological Applications, 31 (6), Art.Nr. e02368. doi:10.1002/eap.2368
Rounsevell, M. D. A.; Arneth, A.; Brown, C.; u. a. (2021). Identifying uncertainties in scenarios and models of socio-ecological systems in support of decision-making. One Earth, 4 (7), 967–985. doi:10.1016/j.oneear.2021.06.003
Emeis, S. (2021). Analysis of decadal precipitation changes at the northern edge of the Alps. Meteorologische Zeitschrift, 30 (3), 285–293. doi:10.1127/metz/2021/1053
Laux, P.; Rötter, R. P.; Webber, H.; u. a. (2021). To bias correct or not to bias correct? An agricultural impact modelers’ perspective on regional climate model data. Agricultural and forest meteorology, 304-305, Art.-Nr.: 108406. doi:10.1016/j.agrformet.2021.108406
Rahimi, J.; Ago, E. E.; Ayantunde, A.; u. a. (2021). Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones. Geoscientific model development, 14 (6), 3789–3812. doi:10.5194/gmd-14-3789-2021
Hu, J.; Gettel, G.; Fan, Z.; u. a. (2021). Drip fertigation promotes water and nitrogen use efficiency and yield stability through improved root growth for tomatoes in plastic greenhouse production. Agriculture, ecosystems & environment, 313, Art.Nr.: 107379. doi:10.1016/j.agee.2021.107379
Fallmann, J.; Emeis, S. (2021). How to bring urban climate studies to application – A meteorological view from five decades of urban climate research and results from a current study. Urban Climate News - Quarterly Newsletter of the IAUC, (80), 12–17.
He, X.; Brown, C.; Lin, L. (2021). Relative importance of deterministic and stochastic processes for beta diversity of bird assemblages in Yunnan, China. Ecosphere, 12 (6), Art. Nr.: e03545. doi:10.1002/ecs2.3545
Nadal-Sala, D.; Grote, R.; Birami, B.; u. a. (2021). Assessing model performance via the most limiting environmental driver in two differently stressed pine stands. Ecological applications, 31 (4). doi:10.1002/eap.2312
Wang, Y.; Yao, Z.; Zhan, Y.; u. a. (2021). Potential benefits of liming to acid soils on climate change mitigation and food security. Global Change Biology, 27 (12), 2807–2821. doi:10.1111/gcb.15607
Hartmann, A.; Jasechko, S.; Gleeson, T.; u. a. (2021). Risk of groundwater contamination widely underestimated because of fast flow into aquifers. Proceedings of the National Academy of Sciences of the United States of America, 118 (20), Art.-Nr.:e2024492118. doi:10.1073/pnas.2024492118
Pace, R.; Guidolotti, G.; Baldacchini, C.; u. a. (2021). Comparing i-Tree Eco Estimates of Particulate Matter Deposition with Leaf and Canopy Measurements in an Urban Mediterranean Holm Oak Forest. Environmental science & technology, 55 (10), 6613–6622. doi:10.1021/acs.est.0c07679
Koç, G.; Natho, S.; Thieken, A. H. (2021). Estimating direct economic impacts of severe flood events in Turkey (2015–2020). International journal of disaster risk reduction, 58, Article no: 102222. doi:10.1016/j.ijdrr.2021.102222
Hansch, R.; Jagdhuber, T.; Fersch, B. (2021). Soil-Permittivity Estimation Under Grassland Using Machine-Learning and Polarimetric Decomposition Techniques. IEEE transactions on geoscience and remote sensing, 59 (4), 2877–2887. doi:10.1109/TGRS.2020.3010104
Zhu, Y.; Merbold, L.; Leitner, S.; u. a. (2021). Interactive effects of dung deposited onto urine patches on greenhouse gas fluxes from tropical pastures in Kenya. The science of the total environment, 761, Art.-Nr.: 143184. doi:10.1016/j.scitotenv.2020.143184
Merbold, L.; Decock, C.; Eugster, W.; u. a. (2021). Are there memory effects on greenhouse gas emissions (CO, NO and CH) following grassland restoration?. Biogeosciences, 18 (4), 1481–1498. doi:10.5194/bg-18-1481-2021
Khan, B.; Banzhaf, S.; Chan, E. C.; u. a. (2021). Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications. Geoscientific Model Development, 14 (2), 1171–1193. doi:10.5194/gmd-14-1171-2021
Wang, N.; Li, L.; Dannenmann, M.; u. a. (2021). Seasonality of gross ammonification and nitrification altered by precipitation in a semi-arid grassland of Northern China. Soil biology & biochemistry, 154, Art.-Nr. 108146. doi:10.1016/j.soilbio.2021.108146
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