@misc{WebberCookeWangetal., author = {Webber, H. and Cooke, D. and Wang, C. and Asseng, S. and Martre, P. and Ewert, F. and Kimball, B. and Hoogenboom, G. and Evett, S. and Chanzy, A. and Garrigues, S. and Olioso, A. and Copeland, K.S. and Steiner, J.L. and Cammarano, D. and Chen, Y. and Cr{\´e}peau, M. and Diamantopoulos, E. and Ferrise, R. and Manceau, L. and Gaiser, T. and Gao, Y. and Gayler, S. and Guarin, J.R. and Hunt, T. and J{\´e}go, G. and Padovan, G. and Pattey, E. and Ripoche, D. and Rodr{\´i}guez, A. and Ruiz-Ramos, M. and Shelia, V. and Srivastava, A.K. and Supit, I. and Tao, F. and Thorp, K. and Viswanathan, M. and Weber, T. and White, J.}, title = {Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments}, series = {Field crops research}, volume = {332}, journal = {Field crops research}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0378-4290}, doi = {10.1016/j.fcr.2025.110032}, pages = {1 -- 18}, abstract = {Under climate change and increasingly extreme weather, projections of water demand and drought stress from process-based crop models can inform risk management and adaptation strategies. Previous studies investigating maize crop models demonstrated considerable error in the simulation of water use, and no similar evaluation of wheat crop models exists. The aims of this study were to (1) evaluate wheat crop models' performance in reproducing observed daily evapotranspiration (ET) for Mediterranean and semi-arid environments, and (2) identify factors and processes associated with model error and uncertainty. These were assessed with an ensemble of wheat crop models for two experiments, one conducted in Bushland, Texas, USA (three seasons, deficit and full irrigation) and another in Avignon, France (four rainfed seasons) with winter bread and durum wheat, respectively. Models were calibrated with all observed data for crop growth. The model ensemble median underestimated water use in all environments evaluated, suggesting a systematic bias. The relative error in underestimating daily ET was constant across levels of atmospheric evaporative demand; therefore, the absolute error was greater for days with larger evaporative demand. This implies errors in the soil water balance increase more rapidly under high evaporative demand conditions. Using a potential versus reference crop evapotranspiration approach did not explain relative model performance. However, the sensitivity analysis indicated that simulation of atmospheric evaporative demand terms explained much more uncertainty in seasonal water use than terms related to soil depth or root growth. Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage. Collectively, the results suggest the need to improve simulation of atmospheric ET demand to avoid underestimating projected impacts of drought or required water resource availability for viable production systems.}, language = {en} } @misc{GotschHippLerngauetal., author = {Gotsch, Matthias and Hipp, Christiane and Lerngau, M. and M{\"u}ller, G. and Reuter, N. and Saam, M. and Weber, Lars}, title = {Mikro- und Makro{\"o}konomische Aspekte der Dienstleistungsproduktivit{\"a}t - State of the Art}, language = {de} } @techreport{GriloConcalvesPiotrowskietal., author = {Grilo, Antonio and Concalves, J. and Piotrowski, Krzysztof and Peter, Steffen and Holczer, T. and Buttyan, L. and Selhorst, M. and Fortunato, C. and Weber, G.}, title = {System Prototypes}, language = {en} } @misc{DillyFrankeNiiAnnangetal., author = {Dilly, Oliver and Franke, G. and Nii-Annang, Seth and Weber, K. and Freese, Dirk and Zyakun, Anatoly and H{\"u}ttl, Reinhard F.}, title = {Soil respiratory indicators including carbon isotope characteristics in response to copper}, series = {Geomicrobiology Journal}, volume = {25}, journal = {Geomicrobiology Journal}, number = {7-8}, issn = {1521-0529}, doi = {10.1080/01490450802402992}, pages = {390 -- 395}, language = {en} } @misc{PoradaBaderBerdugoetal., author = {Porada, Philipp and Bader, Maaike Y. and Berdugo, Monica B. and Colesie, Claudia and Ellis, Christopher J. and Giordani, Paolo and Herzschuh, Ulrike and Ma, Yunyao and Launiainen, Samuli and Nascimbene, Juri and Petersen, Imke and Raggio Qu{\´i}lez, Jos{\´e} and Rodr{\´i}guez-Caballero, Emilio and Rousk, Kathrin and Sancho, Leopoldo G. and Scheidegger, Christoph and Seitz, Steffen and Van Stan, John T. and Veste, Maik and Weber, Bettina and Weston, David J.}, title = {A research agenda for non-vascular photoautotrophs under climate change}, series = {New Phytologist}, volume = {237 (2023)}, journal = {New Phytologist}, number = {5}, issn = {0028-646X}, doi = {10.1111/nph.18631}, pages = {1495 -- 1504}, abstract = {Non-vascular photoautotrophs (NVP), including bryophytes, lichens, terrestrial algae, and cyanobacteria, are increasingly recognized as being essential to ecosystem functioning in many regions of the world. Current research suggests that climate change may pose a substantial threat to NVP, but it is highly uncertain to what extent this will affect the associated ecosystem functions and services. Here, we propose a research agenda to address this urgent question, focusing on physiological and ecological processes that link NVP to ecosystem functions while also taking into account the substantial taxonomic diversity across multiple ecosystem types. Accordingly, we developed a new categorization scheme, based on microclimatic gradients, which simplifies the high physiological and morphological diversity of NVP and worldwide distribution with respect to several broad habitat types. We found that habitat-specific ecosystem functions of NVP will likely be substantially affected by climate change, and more quantitative process understanding is required on (1) potential for acclimation (2) response to elevated CO2 (3) role of the microbiome and (4) feedback to (micro)climate. We suggest an integrative approach of innovative, multi-method laboratory and field experiments and eco-physiological modelling, for which sustained scientific collaboration on NVP research will be essential.}, language = {en} }