[{"doi":"10.15479/AT-ISTA-21442","license":"https://opensource.org/licenses/GPL-3.0","fulldoi":"https://doi.org/10.15479/AT-ISTA-21442","status":"public","date_published":"2026-03-12T00:00:00Z","date_updated":"2026-07-01T06:47:49Z","user_id":"68b8ca59-c5b3-11ee-8790-cd641c68093d","citation":{"ieee":"A. Schlögl, “CA3Simu v1.06 (vargas2026v1).” Institute of Science and Technology Austria, 2026.","ista":"Schlögl A. 2026. CA3Simu v1.06 (vargas2026v1), Institute of Science and Technology Austria, <a href=\"https://doi.org/10.15479/AT-ISTA-21442\">10.15479/AT-ISTA-21442</a>.","chicago":"Schlögl, Alois. “CA3Simu v1.06 (Vargas2026v1).” Institute of Science and Technology Austria, 2026. <a href=\"https://doi.org/10.15479/AT-ISTA-21442\">https://doi.org/10.15479/AT-ISTA-21442</a>.","short":"A. Schlögl, (2026).","ama":"Schlögl A. CA3Simu v1.06 (vargas2026v1). 2026. doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21442\">10.15479/AT-ISTA-21442</a>","apa":"Schlögl, A. (2026). CA3Simu v1.06 (vargas2026v1). Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/AT-ISTA-21442\">https://doi.org/10.15479/AT-ISTA-21442</a>","mla":"Schlögl, Alois. <i>CA3Simu v1.06 (Vargas2026v1)</i>. Institute of Science and Technology Austria, 2026, doi:<a href=\"https://doi.org/10.15479/AT-ISTA-21442\">10.15479/AT-ISTA-21442</a>."},"author":[{"full_name":"Schlögl, Alois","last_name":"Schlögl","first_name":"Alois","orcid":"0000-0002-5621-8100","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87"}],"project":[{"grant_number":"101199096","_id":"e62b56fe-ab3c-11f0-94c7-d181dd352b3b","name":"Synaptic mechanisms of engram storage and retrieval in CA3 hippocampal microcircuits"},{"name":"Mechanisms of GABA release in hippocampal circuits","_id":"bd88be38-d553-11ed-ba76-81d5a70a6ef5","grant_number":"P36232"},{"name":"Synaptic networks of human brain","grant_number":"PAT 4178023","_id":"8d9195e9-16d5-11f0-9cad-d075be887a1e"},{"_id":"25B7EB9E-B435-11E9-9278-68D0E5697425","grant_number":"692692","call_identifier":"H2020","name":"Biophysics and circuit function of a giant cortical glutamatergic synapse"}],"tmp":{"name":"GNU General Public License 3.0","legal_code_url":"https://www.gnu.org/licenses/gpl-3.0.en.html","short":"GPL 3.0"},"related_material":{"record":[{"relation":"used_in_publication","status":"public","id":"22229"}]},"oa":1,"file":[{"file_id":"21443","file_name":"ca3simu-vargas2026v1.tar.gz","checksum":"441c8827717dcda05f91c127d15cf1e9","relation":"main_file","date_created":"2026-03-12T08:19:14Z","access_level":"open_access","file_size":160410,"date_updated":"2026-03-12T08:19:14Z","success":1,"content_type":"application/gzip","creator":"schloegl"},{"file_name":"README.md","file_id":"21445","relation":"main_file","checksum":"3c0092076228a15c0a7ae703192d43ea","access_level":"open_access","date_created":"2026-03-12T10:24:45Z","file_size":10923,"success":1,"date_updated":"2026-03-12T10:24:45Z","content_type":"text/markdown","creator":"schloegl"}],"date_created":"2026-03-12T08:20:46Z","day":"12","department":[{"_id":"ScienComp"},{"_id":"PeJo"}],"keyword":["hypocampus","ca3 simulations","modelling"],"type":"software","has_accepted_license":"1","ec_funded":1,"publisher":"Institute of Science and Technology Austria","_id":"21442","file_date_updated":"2026-03-12T10:24:45Z","year":"2026","month":"03","corr_author":"1","title":"CA3Simu v1.06 (vargas2026v1)"},{"publication":"8th ISPRS Geospatial Conference","title":"Real time interactive web GIS based modelling of high traffic air corridors in Iran using origin destination matrix analysis","_id":"22298","year":"2026","file_date_updated":"2026-07-14T05:55:34Z","language":[{"iso":"eng"}],"page":"493-500","publisher":"Copernicus Publications","volume":"X","type":"conference","ddc":["500"],"publication_status":"published","day":"29","das_tickbox":"0","publication_identifier":{"issn":["2194-9050"]},"abstract":[{"lang":"eng","text":"Air traffic management is a critical component of aviation, aiming to balance safety, capacity and demand within controlled airspace. This research analyses Iran's domestic air transport network (2018-2021) by developing annual Origin-Destination (OD) impedance matrices based on flight frequency. The methodology quantifies network connectivity, revealing a highly centralized structure dominated by core corridors like Tehran-Mashhad, which carried over 10,500 flights in 2019. The COVID-19 pandemic caused a severe disruption in 2020, with traffic on major routes falling by nearly half, followed by a partial recovery in 2021. Analysis shows core hubs rebounded faster than peripheral airports, widening accessibility gaps. Through origin-destination matrix processing, the system identifies high density air routes and analyses historical trends in airspace utilization. The impedance matrix, validated against data (R²=0.87), successfully maps the intense service on hub links and the high impedance of sparse peripheral routes. Then an interactive Web GIS platform was implemented for spatiotemporal analysis of air traffic density."}],"citation":{"ama":"Eghbali Mardekheh M, Argany M, Karimipour F, Sedghitabar SM. Real time interactive web GIS based modelling of high traffic air corridors in Iran using origin destination matrix analysis. In: <i>8th ISPRS Geospatial Conference</i>. Vol X. Copernicus Publications; 2026:493-500. doi:<a href=\"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026\">10.5194/isprs-annals-x-4-w8-2025-493-2026</a>","short":"M. Eghbali Mardekheh, M. Argany, F. Karimipour, S.M. Sedghitabar, in:, 8th ISPRS Geospatial Conference, Copernicus Publications, 2026, pp. 493–500.","ista":"Eghbali Mardekheh M, Argany M, Karimipour F, Sedghitabar SM. 2026. Real time interactive web GIS based modelling of high traffic air corridors in Iran using origin destination matrix analysis. 8th ISPRS Geospatial Conference. ISPRS: Conference on Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. X, 493–500.","ieee":"M. Eghbali Mardekheh, M. Argany, F. Karimipour, and S. M. Sedghitabar, “Real time interactive web GIS based modelling of high traffic air corridors in Iran using origin destination matrix analysis,” in <i>8th ISPRS Geospatial Conference</i>, Tehran, Iran, 2026, vol. X, no. 4/W8-2025, pp. 493–500.","chicago":"Eghbali Mardekheh, Masoumeh, Meysam Argany, Farid Karimipour, and Seyed Mohammad Sedghitabar. “Real Time Interactive Web GIS Based Modelling of High Traffic Air Corridors in Iran Using Origin Destination Matrix Analysis.” In <i>8th ISPRS Geospatial Conference</i>, X:493–500. Copernicus Publications, 2026. <a href=\"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026\">https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026</a>.","mla":"Eghbali Mardekheh, Masoumeh, et al. “Real Time Interactive Web GIS Based Modelling of High Traffic Air Corridors in Iran Using Origin Destination Matrix Analysis.” <i>8th ISPRS Geospatial Conference</i>, vol. X, no. 4/W8-2025, Copernicus Publications, 2026, pp. 493–500, doi:<a href=\"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026\">10.5194/isprs-annals-x-4-w8-2025-493-2026</a>.","apa":"Eghbali Mardekheh, M., Argany, M., Karimipour, F., &#38; Sedghitabar, S. M. (2026). Real time interactive web GIS based modelling of high traffic air corridors in Iran using origin destination matrix analysis. In <i>8th ISPRS Geospatial Conference</i> (Vol. X, pp. 493–500). Tehran, Iran: Copernicus Publications. <a href=\"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026\">https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026</a>"},"date_updated":"2026-07-14T05:56:30Z","issue":"-4/W8-2025","researchdata_availability":"no","conference":{"location":"Tehran, Iran","name":"ISPRS: Conference on Photogrammetry, Remote Sensing and Spatial Information Sciences,","end_date":"2025-12-17","start_date":"2025-12-15"},"doi":"10.5194/isprs-annals-x-4-w8-2025-493-2026","month":"05","has_accepted_license":"1","article_processing_charge":"No","keyword":["Air Traffic simulation","Dynamic Air Traffic Corridors","Origin Destination matrix","Interactive Web GIS","Iran Aviation Network","Spatiotemporal Modelling"],"supplementarymaterial":"no","OA_place":"publisher","quality_controlled":"1","OA_type":"gold","department":[{"_id":"HeEd"}],"oa_version":"Published Version","date_created":"2026-07-13T09:51:29Z","file":[{"success":1,"date_updated":"2026-07-14T05:55:34Z","file_size":2697680,"creator":"dernst","content_type":"application/pdf","file_name":"2026_ISPRS_EghbaliMardekheh.pdf","file_id":"22328","access_level":"open_access","date_created":"2026-07-14T05:55:34Z","relation":"main_file","checksum":"7c088dd179cfee6074a350c95671dbe3"}],"oa":1,"acknowledgement":"We sincerely thank the Iranian Airports and Air Navigation\r\nCompany for sharing statistical data on flights from Iranian\r\nairports, separated by origin and destination, for this research.","author":[{"full_name":"Eghbali Mardekheh, Masoumeh","last_name":"Eghbali Mardekheh","first_name":"Masoumeh"},{"full_name":"Argany, Meysam","last_name":"Argany","first_name":"Meysam"},{"id":"2A2BCDC4-CF62-11E9-BE5E-3B1EE6697425","orcid":"0000-0001-6746-4174","first_name":"Farid","last_name":"Karimipour","full_name":"Karimipour, Farid"},{"last_name":"Sedghitabar","full_name":"Sedghitabar, Seyed Mohammad","first_name":"Seyed Mohammad"}],"scopus_import":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2026-05-29T00:00:00Z","fulldoi":"https://doi.org/10.5194/isprs-annals-x-4-w8-2025-493-2026","status":"public"},{"publisher":"Wiley","ec_funded":1,"volume":101,"external_id":{"isi":["001614285900001"],"pmid":["41235821 "]},"title":"A century of theories of balancing selection","corr_author":"1","publication":"Biological Reviews","language":[{"iso":"eng"}],"file_date_updated":"2026-07-27T08:07:35Z","_id":"20655","year":"2026","publication_status":"published","day":"01","type":"journal_article","ddc":["570"],"abstract":[{"text":"Traits that affect organismal fitness are often highly genetically variable. This genetic variation is vital for populations to adapt to their environments, but it is also surprising given that nature – after all – ‘selects’ the best genotypes at the expense of those that fall short. Explaining the extensive genetic variation of fitness‐related traits is thus a longstanding puzzle in evolutionary biology, with cascading implications for ecology, conservation, and human health. Balancing selection – an umbrella term for scenarios in which natural selection maintains genetic variation – is a century‐old explanation to resolve this puzzle that has gained recent momentum from genome‐scale methods for detecting it. Yet evaluating whether balancing selection can, in fact, resolve the puzzle is challenging, given the logistical constraints of distinguishing balancing selection from alternative hypotheses and the daunting collection of theoretical models that formally underpin this debate. Here, we track the development of balancing selection theory over the last century and provide an accessible review of this rich collection of models. We first outline the range of biological scenarios that can generate balancing selection. We then examine how fundamental features of genetic systems – non‐random mating between individuals, ploidy levels, genetic drift, linkage, and genetic architectures of traits – have been progressively incorporated into the theory. We end by linking these theoretical predictions to ongoing empirical efforts to understand the evolutionary processes that explain genetic variation.","lang":"eng"}],"das_tickbox":"0","publication_identifier":{"eissn":["1469-185X"],"issn":["1464-7931"]},"article_number":"804-825","issue":"2","date_updated":"2026-07-27T08:08:09Z","researchdata_availability":"no","doi":"10.1111/brv.70103","intvolume":"       101","citation":{"apa":"Ruzicka, F., Zwoinska, M. K., Goedert, D., Kokko, H., Li Richter, X., Moodie, I. R., … Connallon, T. (2026). A century of theories of balancing selection. <i>Biological Reviews</i>. Wiley. <a href=\"https://doi.org/10.1111/brv.70103\">https://doi.org/10.1111/brv.70103</a>","mla":"Ruzicka, Filip, et al. “A Century of Theories of Balancing Selection.” <i>Biological Reviews</i>, vol. 101, no. 2, 804–825, Wiley, 2026, doi:<a href=\"https://doi.org/10.1111/brv.70103\">10.1111/brv.70103</a>.","ista":"Ruzicka F, Zwoinska MK, Goedert D, Kokko H, Li Richter X, Moodie IR, Nilén S, Olito C, Svensson EI, Czuppon P, Connallon T. 2026. A century of theories of balancing selection. Biological Reviews. 101(2), 804–825.","ieee":"F. Ruzicka <i>et al.</i>, “A century of theories of balancing selection,” <i>Biological Reviews</i>, vol. 101, no. 2. Wiley, 2026.","chicago":"Ruzicka, Filip, Martyna K. Zwoinska, Debora Goedert, Hanna Kokko, Xiang‐Yi Li Richter, Iain R. Moodie, Sofie Nilén, et al. “A Century of Theories of Balancing Selection.” <i>Biological Reviews</i>. Wiley, 2026. <a href=\"https://doi.org/10.1111/brv.70103\">https://doi.org/10.1111/brv.70103</a>.","short":"F. Ruzicka, M.K. Zwoinska, D. Goedert, H. Kokko, X. Li Richter, I.R. Moodie, S. Nilén, C. Olito, E.I. Svensson, P. Czuppon, T. Connallon, Biological Reviews 101 (2026).","ama":"Ruzicka F, Zwoinska MK, Goedert D, et al. A century of theories of balancing selection. <i>Biological Reviews</i>. 2026;101(2). doi:<a href=\"https://doi.org/10.1111/brv.70103\">10.1111/brv.70103</a>"},"pmid":1,"has_accepted_license":"1","month":"04","article_type":"original","department":[{"_id":"BeVi"}],"oa_version":"Published Version","quality_controlled":"1","OA_type":"hybrid","OA_place":"publisher","isi":1,"supplementarymaterial":"yes","article_processing_charge":"Yes (via OA deal)","keyword":["evolutionary theory","population genetics","balancing selection","heterozygote advantage","trade-offs","negative frequency-dependent selection","fitness variation","mathematical modelling"],"date_created":"2025-11-19T09:43:50Z","oa":1,"file":[{"content_type":"application/pdf","creator":"dernst","file_size":1757556,"success":1,"date_updated":"2026-07-27T08:07:35Z","checksum":"167d95cf0570d6e3653ab349b2a4355c","relation":"main_file","access_level":"open_access","date_created":"2026-07-27T08:07:35Z","file_name":"2026_BiologicalReviews_Ruzicka.pdf","file_id":"22409"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2026-04-01T00:00:00Z","status":"public","fulldoi":"https://doi.org/10.1111/brv.70103","acknowledgement":"We thank Brian Charlesworth, Deborah Charlesworth, and Sally Otto for extensive comments and suggestions. We also thank Göran Arnqvist, Adam Eyre-Walker, Philip Hedrick, Jitka Polechová, and Henrique Teotónio for further helpful comments on the manuscript. This work was supported by a H2020 Marie Skłodowska-Curie COFUND Action fellowship (#101034413, to F. R.), the Birgitta Sintring Foundation (#S2024-0007, to M. K. Z.), the Research Council of Norway (302619, to D. G.), the Alexander von Humboldt Foundation (to H. K.), the Swiss National Science Foundation (#211549, to X. L. R.), the Swedish Research Council (#2022-03603, to CO; #2020-03123, to E. I. S.) and the European Research Council (ERC-2023-STG-#101117517, to C. O.). We are particularly grateful to the European Society for Evolutionary Biology for funding a Special Topics Network workshop (to T. C., H. K., E. I. S.), from which this review began. Open Access funding provided by Institute of Science and Technology Austria/KEMÖ.","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)"},"scopus_import":"1","project":[{"_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","call_identifier":"H2020","name":"IST-BRIDGE: International postdoctoral program"}],"author":[{"full_name":"Ruzicka, Filip","last_name":"Ruzicka","first_name":"Filip","id":"347955dd-57b0-11ee-9095-c28bdd368f4b"},{"first_name":"Martyna K.","last_name":"Zwoinska","full_name":"Zwoinska, Martyna K."},{"last_name":"Goedert","full_name":"Goedert, Debora","first_name":"Debora"},{"first_name":"Hanna","last_name":"Kokko","full_name":"Kokko, Hanna"},{"first_name":"Xiang‐Yi","last_name":"Li Richter","full_name":"Li Richter, Xiang‐Yi"},{"last_name":"Moodie","full_name":"Moodie, Iain R.","first_name":"Iain R."},{"last_name":"Nilén","full_name":"Nilén, Sofie","first_name":"Sofie"},{"first_name":"Colin","full_name":"Olito, Colin","last_name":"Olito"},{"last_name":"Svensson","full_name":"Svensson, Erik I.","first_name":"Erik I."},{"first_name":"Peter","full_name":"Czuppon, Peter","last_name":"Czuppon"},{"first_name":"Tim","full_name":"Connallon, Tim","last_name":"Connallon"}]},{"abstract":[{"text":"High elevation headwater catchments are complex hydrological systems that seasonally buffer water and release it in the form of snow and ice melt, modulating downstream runoff regimes and water availability. In High Mountain Asia (HMA), where a wide range of climates from semi-arid to monsoonal exist, the importance of the cryospheric contributions to the water budget varies with the amount and seasonal distribution of precipitation. Losses due to evapotranspiration and sublimation are to date largely unquantified components of the water budget in such catchments, although they can be comparable in magnitude to glacier melt contributions to streamflow. Here, we simulate the hydrology of three high elevation headwater catchments in distinct climates in HMA over 10 years using an ecohydrological model geared towards high-mountain areas including snow and glaciers, forced with reanalysis data. Our results show that evapotranspiration and sublimation together are most important at the semi-arid site, Kyzylsu, on the northernmost slopes of the Pamir mountain range. Here, the evaporative loss amounts to 28% of the water throughput, which we define as the total water added to, or removed from the water balance within a year. In comparison, evaporative losses are 19% at the Central Himalayan site Langtang and 13% at the wettest site, 24 K, on the Southeastern Tibetan Plateau. At the three sites, respectively, sublimation removes 15%, 13% and 6% of snowfall, while evapotranspiration removes the equivalent of 76%, 28% and 19% of rainfall. In absolute terms, and across a comparable elevation range, the highest ET flux is 413 mm yr−1 at 24 K, while the highest sublimation flux is 91 mm yr−1 at Kyzylsu. During warm and dry years, glacier melt was found to only partially compensate for the annual supply deficit.","lang":"eng"}],"article_number":"044057","publication_identifier":{"eissn":["1748-9326"]},"das_tickbox":"1","doi":"10.1088/1748-9326/ad25a0","date_updated":"2026-08-07T11:03:46Z","issue":"4","citation":{"ieee":"S. Fugger <i>et al.</i>, “Hydrological regimes and evaporative flux partitioning at the climatic ends of high mountain Asia,” <i>Environmental Research Letters</i>, vol. 19, no. 4. IOP Publishing, 2024.","chicago":"Fugger, S, T E Shaw, A Jouberton, E S Miles, P Buri, M McCarthy, C Fyffe, et al. “Hydrological Regimes and Evaporative Flux Partitioning at the Climatic Ends of High Mountain Asia.” <i>Environmental Research Letters</i>. IOP Publishing, 2024. <a href=\"https://doi.org/10.1088/1748-9326/ad25a0\">https://doi.org/10.1088/1748-9326/ad25a0</a>.","ista":"Fugger S, Shaw TE, Jouberton A, Miles ES, Buri P, McCarthy M, Fyffe C, Fatichi S, Kneib M, Molnar P, Pellicciotti F. 2024. Hydrological regimes and evaporative flux partitioning at the climatic ends of high mountain Asia. Environmental Research Letters. 19(4), 044057.","ama":"Fugger S, Shaw TE, Jouberton A, et al. Hydrological regimes and evaporative flux partitioning at the climatic ends of high mountain Asia. <i>Environmental Research Letters</i>. 2024;19(4). doi:<a href=\"https://doi.org/10.1088/1748-9326/ad25a0\">10.1088/1748-9326/ad25a0</a>","short":"S. Fugger, T.E. Shaw, A. Jouberton, E.S. Miles, P. Buri, M. McCarthy, C. Fyffe, S. Fatichi, M. Kneib, P. Molnar, F. Pellicciotti, Environmental Research Letters 19 (2024).","apa":"Fugger, S., Shaw, T. E., Jouberton, A., Miles, E. S., Buri, P., McCarthy, M., … Pellicciotti, F. (2024). Hydrological regimes and evaporative flux partitioning at the climatic ends of high mountain Asia. <i>Environmental Research Letters</i>. IOP Publishing. <a href=\"https://doi.org/10.1088/1748-9326/ad25a0\">https://doi.org/10.1088/1748-9326/ad25a0</a>","mla":"Fugger, S., et al. “Hydrological Regimes and Evaporative Flux Partitioning at the Climatic Ends of High Mountain Asia.” <i>Environmental Research Letters</i>, vol. 19, no. 4, 044057, IOP Publishing, 2024, doi:<a href=\"https://doi.org/10.1088/1748-9326/ad25a0\">10.1088/1748-9326/ad25a0</a>."},"intvolume":"        19","volume":19,"publisher":"IOP Publishing","_id":"22513","year":"2024","language":[{"iso":"eng"}],"publication":"Environmental Research Letters","title":"Hydrological regimes and evaporative flux partitioning at the climatic ends of high mountain Asia","day":"09","publication_status":"published","type":"journal_article","DOAJ_listed":"1","oa":1,"extern":"1","date_created":"2026-07-27T12:30:24Z","status":"public","fulldoi":"https://doi.org/10.1088/1748-9326/ad25a0","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","date_published":"2024-04-09T00:00:00Z","author":[{"first_name":"S","full_name":"Fugger, S","last_name":"Fugger"},{"full_name":"Shaw, T E","last_name":"Shaw","first_name":"T E"},{"first_name":"A","full_name":"Jouberton, A","last_name":"Jouberton"},{"first_name":"E S","last_name":"Miles","full_name":"Miles, E S"},{"first_name":"P","last_name":"Buri","full_name":"Buri, P"},{"full_name":"McCarthy, M","last_name":"McCarthy","first_name":"M"},{"first_name":"C","last_name":"Fyffe","full_name":"Fyffe, C"},{"first_name":"Simone","full_name":"Fatichi, Simone","last_name":"Fatichi","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6"},{"first_name":"M","last_name":"Kneib","full_name":"Kneib, M"},{"last_name":"Molnar","full_name":"Molnar, Peter","first_name":"Peter"},{"first_name":"F","last_name":"Pellicciotti","full_name":"Pellicciotti, F"}],"scopus_import":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"main_file_link":[{"url":"https://doi.org/10.1088/1748-9326/ad25a0","open_access":"1"}],"month":"04","OA_type":"gold","quality_controlled":"1","OA_place":"publisher","oa_version":"Published Version","article_type":"letter_note","keyword":["Glacio-hydrology","High mountain Asia","High mountain hydrology","Ecohydrology","Landsurface modelling","Remote sensing hydrology"],"article_processing_charge":"No"},{"day":"07","publication_status":"published","ddc":["570"],"type":"journal_article","volume":17,"external_id":{"isi":["000608045000010"],"pmid":["33411759"]},"publisher":"Public Library of Science","language":[{"iso":"eng"}],"file_date_updated":"2021-02-04T12:30:48Z","_id":"8997","year":"2021","title":"Minimal biophysical model of combined antibiotic action","publication":"PLOS Computational Biology","doi":"10.1371/journal.pcbi.1008529","date_updated":"2026-07-06T12:44:35Z","intvolume":"        17","pmid":1,"citation":{"ama":"Kavcic B, Tkačik G, Bollenbach MT. Minimal biophysical model of combined antibiotic action. <i>PLOS Computational Biology</i>. 2021;17. doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008529\">10.1371/journal.pcbi.1008529</a>","short":"B. Kavcic, G. Tkačik, M.T. Bollenbach, PLOS Computational Biology 17 (2021).","ista":"Kavcic B, Tkačik G, Bollenbach MT. 2021. Minimal biophysical model of combined antibiotic action. PLOS Computational Biology. 17, e1008529.","ieee":"B. Kavcic, G. Tkačik, and M. T. Bollenbach, “Minimal biophysical model of combined antibiotic action,” <i>PLOS Computational Biology</i>, vol. 17. Public Library of Science, 2021.","chicago":"Kavcic, Bor, Gašper Tkačik, and Mark Tobias Bollenbach. “Minimal Biophysical Model of Combined Antibiotic Action.” <i>PLOS Computational Biology</i>. Public Library of Science, 2021. <a href=\"https://doi.org/10.1371/journal.pcbi.1008529\">https://doi.org/10.1371/journal.pcbi.1008529</a>.","mla":"Kavcic, Bor, et al. “Minimal Biophysical Model of Combined Antibiotic Action.” <i>PLOS Computational Biology</i>, vol. 17, e1008529, Public Library of Science, 2021, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008529\">10.1371/journal.pcbi.1008529</a>.","apa":"Kavcic, B., Tkačik, G., &#38; Bollenbach, M. T. (2021). Minimal biophysical model of combined antibiotic action. <i>PLOS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1008529\">https://doi.org/10.1371/journal.pcbi.1008529</a>"},"abstract":[{"lang":"eng","text":"Phenomenological relations such as Ohm’s or Fourier’s law have a venerable history in physics but are still scarce in biology. This situation restrains predictive theory. Here, we build on bacterial “growth laws,” which capture physiological feedback between translation and cell growth, to construct a minimal biophysical model for the combined action of ribosome-targeting antibiotics. Our model predicts drug interactions like antagonism or synergy solely from responses to individual drugs. We provide analytical results for limiting cases, which agree well with numerical results. We systematically refine the model by including direct physical interactions of different antibiotics on the ribosome. In a limiting case, our model provides a mechanistic underpinning for recent predictions of higher-order interactions that were derived using entropy maximization. We further refine the model to include the effects of antibiotics that mimic starvation and the presence of resistance genes. We describe the impact of a starvation-mimicking antibiotic on drug interactions analytically and verify it experimentally. Our extended model suggests a change in the type of drug interaction that depends on the strength of resistance, which challenges established rescaling paradigms. We experimentally show that the presence of unregulated resistance genes can lead to altered drug interaction, which agrees with the prediction of the model. While minimal, the model is readily adaptable and opens the door to predicting interactions of second and higher-order in a broad range of biological systems."}],"publication_identifier":{"issn":["1553-7358"]},"article_number":"e1008529","department":[{"_id":"GaTk"}],"oa_version":"Published Version","quality_controlled":"1","article_type":"original","article_processing_charge":"Yes","keyword":["Modelling and Simulation","Genetics","Molecular Biology","Antibiotics","Drug interactions"],"isi":1,"has_accepted_license":"1","month":"01","fulldoi":"https://doi.org/10.1371/journal.pcbi.1008529","status":"public","date_published":"2021-01-07T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"project":[{"name":"Revealing the mechanisms underlying drug interactions","call_identifier":"FWF","grant_number":"P27201-B22","_id":"25E9AF9E-B435-11E9-9278-68D0E5697425"},{"_id":"254E9036-B435-11E9-9278-68D0E5697425","grant_number":"P28844-B27","call_identifier":"FWF","name":"Biophysics of information processing in gene regulation"}],"author":[{"full_name":"Kavcic, Bor","last_name":"Kavcic","first_name":"Bor","orcid":"0000-0001-6041-254X","id":"350F91D2-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Tkačik, Gašper","last_name":"Tkačik","first_name":"Gašper","orcid":"0000-0002-6699-1455","id":"3D494DCA-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0003-4398-476X","id":"3E6DB97A-F248-11E8-B48F-1D18A9856A87","last_name":"Bollenbach","full_name":"Bollenbach, Tobias","first_name":"Tobias"}],"acknowledgement":"This work was supported in part by Tum stipend of Knafelj foundation (to B.K.), Austrian Science Fund (FWF) standalone grants P 27201-B22 (to T.B.) and P 28844(to G.T.), HFSP program Grant RGP0042/2013 (to T.B.), German Research Foundation (DFG) individual grant BO 3502/2-1 (to T.B.), and German Research Foundation (DFG) Collaborative Research Centre (SFB) 1310 (to T.B.). ","file":[{"creator":"dernst","content_type":"application/pdf","date_updated":"2021-02-04T12:30:48Z","success":1,"file_size":3690053,"date_created":"2021-02-04T12:30:48Z","access_level":"open_access","relation":"main_file","checksum":"e29f2b42651bef8e034781de8781ffac","file_id":"9092","file_name":"2021_PlosComBio_Kavcic.pdf"}],"oa":1,"related_material":{"record":[{"status":"public","id":"8930","relation":"research_data"},{"id":"7673","status":"public","relation":"earlier_version"}]},"date_created":"2021-01-08T07:16:18Z"},{"oa":1,"date_created":"2021-05-12T05:58:42Z","scopus_import":"1","author":[{"first_name":"Kseniia","last_name":"Khudiakova","full_name":"Khudiakova, Kseniia","id":"4E6DC800-AE37-11E9-AC72-31CAE5697425","orcid":"0000-0002-6246-1465"},{"full_name":"Neretina, Tatiana Yu.","last_name":"Neretina","first_name":"Tatiana Yu."},{"full_name":"Kondrashov, Alexey S.","last_name":"Kondrashov","first_name":"Alexey S."}],"acknowledgement":"This work was supported by the Russian Science Foundation grant N 16-14-10173.","status":"public","fulldoi":"https://doi.org/10.1016/j.jtbi.2021.110729","date_published":"2021-04-24T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"04","main_file_link":[{"url":"https://www.biorxiv.org/content/10.1101/477489v1","open_access":"1"}],"keyword":["General Biochemistry","Genetics and Molecular Biology","Modelling and Simulation","Statistics and Probability","General Immunology and Microbiology","Applied Mathematics","General Agricultural and Biological Sciences","General Medicine"],"article_processing_charge":"No","isi":1,"department":[{"_id":"GradSch"}],"oa_version":"Preprint","quality_controlled":"1","article_type":"original","publication_identifier":{"issn":["0022-5193"]},"article_number":"110729","das_tickbox":"1","abstract":[{"text":"We report the complete analysis of a deterministic model of deleterious mutations and negative selection against them at two haploid loci without recombination. As long as mutation is a weaker force than selection, mutant alleles remain rare at the only stable equilibrium, and otherwise, a variety of dynamics are possible. If the mutation-free genotype is absent, generally the only stable equilibrium is the one that corresponds to fixation of the mutant allele at the locus where it is less deleterious. This result suggests that fixation of a deleterious allele that follows a click of the Muller’s ratchet is governed by natural selection, instead of random drift.","lang":"eng"}],"intvolume":"       524","citation":{"ieee":"K. Khudiakova, T. Y. Neretina, and A. S. Kondrashov, “Two linked loci under mutation-selection balance and Muller’s ratchet,” <i>Journal of Theoretical Biology</i>, vol. 524. Elsevier, 2021.","chicago":"Khudiakova, Kseniia, Tatiana Yu. Neretina, and Alexey S. Kondrashov. “Two Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” <i>Journal of Theoretical Biology</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.jtbi.2021.110729\">https://doi.org/10.1016/j.jtbi.2021.110729</a>.","ista":"Khudiakova K, Neretina TY, Kondrashov AS. 2021. Two linked loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical Biology. 524, 110729.","ama":"Khudiakova K, Neretina TY, Kondrashov AS. Two linked loci under mutation-selection balance and Muller’s ratchet. <i>Journal of Theoretical Biology</i>. 2021;524. doi:<a href=\"https://doi.org/10.1016/j.jtbi.2021.110729\">10.1016/j.jtbi.2021.110729</a>","short":"K. Khudiakova, T.Y. Neretina, A.S. Kondrashov, Journal of Theoretical Biology 524 (2021).","apa":"Khudiakova, K., Neretina, T. Y., &#38; Kondrashov, A. S. (2021). Two linked loci under mutation-selection balance and Muller’s ratchet. <i>Journal of Theoretical Biology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jtbi.2021.110729\">https://doi.org/10.1016/j.jtbi.2021.110729</a>","mla":"Khudiakova, Kseniia, et al. “Two Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” <i>Journal of Theoretical Biology</i>, vol. 524, 110729, Elsevier, 2021, doi:<a href=\"https://doi.org/10.1016/j.jtbi.2021.110729\">10.1016/j.jtbi.2021.110729</a>."},"pmid":1,"doi":"10.1016/j.jtbi.2021.110729","date_updated":"2026-07-06T12:58:31Z","language":[{"iso":"eng"}],"_id":"9387","year":"2021","title":"Two linked loci under mutation-selection balance and Muller’s ratchet","publication":"Journal of Theoretical Biology","volume":524,"external_id":{"isi":["000659161500002"],"pmid":["33901507"]},"publisher":"Elsevier","type":"journal_article","day":"24","publication_status":"published"},{"das_tickbox":"1","publication_identifier":{"eissn":["1879-2707"],"issn":["0022-1694"]},"article_number":"126806","abstract":[{"lang":"eng","text":"Mountainous catchments cover a broad range of elevations and their response to a warming climate is expected to vary significantly in space. Nevertheless, studies on climate change impacts typically examine the changes in flow statistics only at the catchment outlet. In this study, we instead demonstrate the high variability of the hydrological response to climate change at the sub-catchment scale, investigating in detail the contribution of all components of the hydrological cycle in two mountainous catchments (Thur and Kleine Emme) in the Swiss Alps. The analysis was conducted with a two-dimensional weather generator model that simulated gridded climate variables at an hourly and 2-km resolution until the end of the 21st century for the RCP8.5 emission scenario. The climate ensemble was used as input into a distributed hydrological model to estimate the changes in hydrological processes at 100-m and hourly resolutions. Climate models show that precipitation intensifies during winter but weakens during summer in the order of ± 5–10% toward the end of the century. Temperature will rise by up to 4°C, leading to a 50% reduction in snowmelt, 10% increase in evapotranspiration, and shift in precipitation type from snowfall to rainfall. As a result, streamflow is projected to increase by 40% in winter but decrease by 20% to 40% during summer, with winter floods becoming more frequent. The changes to streamflow (mean and extreme low and high flows) at the sub-catchments show a strong dependency with elevation. In contrast to the small changes projected at the outlet of the catchments, streamflow shows a reduction at higher elevations (up to −20% change in mean streamflow for sub-catchments at elevations exceeding 1400 m) and an increase at lower elevations (up to +5% for Kleine Emme and +20% for the Thur at elevations below 600 m). These impacts are tied to the changes in precipitation, as well as changes in snowmelt (at high elevation) and evapotranspiration (at low elevation). The results reveal the causes and diversity of hydrological response to climate change, emphasizing the importance of investigating the distributed impacts of climate change in mountainous environments."}],"intvolume":"       603","citation":{"ieee":"J. S. Moraga, N. Peleg, S. Fatichi, P. Molnar, and P. Burlando, “Revealing the impacts of climate change on mountainous catchments through high-resolution modelling,” <i>Journal of Hydrology</i>, vol. 603. Elsevier, 2021.","ista":"Moraga JS, Peleg N, Fatichi S, Molnar P, Burlando P. 2021. Revealing the impacts of climate change on mountainous catchments through high-resolution modelling. Journal of Hydrology. 603, 126806.","chicago":"Moraga, Jorge Sebastián, Nadav Peleg, Simone Fatichi, Peter Molnar, and Paolo Burlando. “Revealing the Impacts of Climate Change on Mountainous Catchments through High-Resolution Modelling.” <i>Journal of Hydrology</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.jhydrol.2021.126806\">https://doi.org/10.1016/j.jhydrol.2021.126806</a>.","short":"J.S. Moraga, N. Peleg, S. Fatichi, P. Molnar, P. Burlando, Journal of Hydrology 603 (2021).","ama":"Moraga JS, Peleg N, Fatichi S, Molnar P, Burlando P. Revealing the impacts of climate change on mountainous catchments through high-resolution modelling. <i>Journal of Hydrology</i>. 2021;603. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2021.126806\">10.1016/j.jhydrol.2021.126806</a>","apa":"Moraga, J. S., Peleg, N., Fatichi, S., Molnar, P., &#38; Burlando, P. (2021). Revealing the impacts of climate change on mountainous catchments through high-resolution modelling. <i>Journal of Hydrology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jhydrol.2021.126806\">https://doi.org/10.1016/j.jhydrol.2021.126806</a>","mla":"Moraga, Jorge Sebastián, et al. “Revealing the Impacts of Climate Change on Mountainous Catchments through High-Resolution Modelling.” <i>Journal of Hydrology</i>, vol. 603, 126806, Elsevier, 2021, doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2021.126806\">10.1016/j.jhydrol.2021.126806</a>."},"date_updated":"2026-08-06T14:31:25Z","doi":"10.1016/j.jhydrol.2021.126806","title":"Revealing the impacts of climate change on mountainous catchments through high-resolution modelling","publication":"Journal of Hydrology","language":[{"iso":"eng"}],"year":"2021","_id":"22529","publisher":"Elsevier","volume":603,"type":"journal_article","publication_status":"published","day":"01","date_created":"2026-07-27T12:30:24Z","extern":"1","oa":1,"tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"scopus_import":"1","author":[{"first_name":"Jorge Sebastián","full_name":"Moraga, Jorge Sebastián","last_name":"Moraga"},{"first_name":"Nadav","full_name":"Peleg, Nadav","last_name":"Peleg"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","last_name":"Fatichi","full_name":"Fatichi, Simone","first_name":"Simone"},{"first_name":"Peter","full_name":"Molnar, Peter","last_name":"Molnar"},{"first_name":"Paolo","full_name":"Burlando, Paolo","last_name":"Burlando"}],"date_published":"2021-12-01T00:00:00Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","fulldoi":"https://doi.org/10.1016/j.jhydrol.2021.126806","status":"public","month":"12","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1016/j.jhydrol.2021.126806"}],"article_processing_charge":"No","keyword":["Catchment modelling","Climate change impacts","Weather generator","Distributed hydrological model","Streamflow extremes","Hydrological response"],"article_type":"original","oa_version":"Published Version","OA_place":"publisher","quality_controlled":"1","OA_type":"hybrid"},{"date_created":"2020-11-18T07:20:23Z","file":[{"creator":"dernst","content_type":"application/pdf","date_updated":"2020-11-18T07:26:10Z","success":1,"file_size":2498594,"date_created":"2020-11-18T07:26:10Z","access_level":"open_access","relation":"main_file","checksum":"555456dd0e47bcf9e0994bcb95577e88","file_id":"8768","file_name":"2020_PlosCompBio_Kaveh.pdf"}],"oa":1,"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-11-05T00:00:00Z","fulldoi":"https://doi.org/10.1371/journal.pcbi.1008402","status":"public","acknowledgement":"We thank Igor Erovenko for many helpful comments on an earlier version of this paper. : Army Research Laboratory (grant W911NF-18-2-0265) (M.A.N.); the Bill & Melinda Gates Foundation (grant OPP1148627) (M.A.N.); the NVIDIA Corporation (A.M.). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.","author":[{"full_name":"Kaveh, Kamran","last_name":"Kaveh","first_name":"Kamran"},{"first_name":"Alex","last_name":"McAvoy","full_name":"McAvoy, Alex"},{"id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4561-241X","first_name":"Krishnendu","last_name":"Chatterjee","full_name":"Chatterjee, Krishnendu"},{"first_name":"Martin A.","full_name":"Nowak, Martin A.","last_name":"Nowak"}],"scopus_import":"1","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","image":"/images/cc_by.png","short":"CC BY (4.0)"},"has_accepted_license":"1","month":"11","article_type":"original","quality_controlled":"1","oa_version":"Published Version","department":[{"_id":"KrCh"}],"isi":1,"article_processing_charge":"No","keyword":["Ecology","Modelling and Simulation","Computational Theory and Mathematics","Genetics","Ecology","Evolution","Behavior and Systematics","Molecular Biology","Cellular and Molecular Neuroscience"],"abstract":[{"text":"Resources are rarely distributed uniformly within a population. Heterogeneity in the concentration of a drug, the quality of breeding sites, or wealth can all affect evolutionary dynamics. In this study, we represent a collection of properties affecting the fitness at a given location using a color. A green node is rich in resources while a red node is poorer. More colors can represent a broader spectrum of resource qualities. For a population evolving according to the birth-death Moran model, the first question we address is which structures, identified by graph connectivity and graph coloring, are evolutionarily equivalent. We prove that all properly two-colored, undirected, regular graphs are evolutionarily equivalent (where “properly colored” means that no two neighbors have the same color). We then compare the effects of background heterogeneity on properly two-colored graphs to those with alternative schemes in which the colors are permuted. Finally, we discuss dynamic coloring as a model for spatiotemporal resource fluctuations, and we illustrate that random dynamic colorings often diminish the effects of background heterogeneity relative to a proper two-coloring.","lang":"eng"}],"article_number":"e1008402","publication_identifier":{"eissn":["1553-7358"],"issn":["1553-734X"]},"issue":"11","date_updated":"2025-06-12T07:02:01Z","doi":"10.1371/journal.pcbi.1008402","pmid":1,"citation":{"apa":"Kaveh, K., McAvoy, A., Chatterjee, K., &#38; Nowak, M. A. (2020). The Moran process on 2-chromatic graphs. <i>PLOS Computational Biology</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">https://doi.org/10.1371/journal.pcbi.1008402</a>","mla":"Kaveh, Kamran, et al. “The Moran Process on 2-Chromatic Graphs.” <i>PLOS Computational Biology</i>, vol. 16, no. 11, e1008402, Public Library of Science, 2020, doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">10.1371/journal.pcbi.1008402</a>.","ista":"Kaveh K, McAvoy A, Chatterjee K, Nowak MA. 2020. The Moran process on 2-chromatic graphs. PLOS Computational Biology. 16(11), e1008402.","chicago":"Kaveh, Kamran, Alex McAvoy, Krishnendu Chatterjee, and Martin A. Nowak. “The Moran Process on 2-Chromatic Graphs.” <i>PLOS Computational Biology</i>. Public Library of Science, 2020. <a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">https://doi.org/10.1371/journal.pcbi.1008402</a>.","ieee":"K. Kaveh, A. McAvoy, K. Chatterjee, and M. A. Nowak, “The Moran process on 2-chromatic graphs,” <i>PLOS Computational Biology</i>, vol. 16, no. 11. Public Library of Science, 2020.","short":"K. Kaveh, A. McAvoy, K. Chatterjee, M.A. Nowak, PLOS Computational Biology 16 (2020).","ama":"Kaveh K, McAvoy A, Chatterjee K, Nowak MA. The Moran process on 2-chromatic graphs. <i>PLOS Computational Biology</i>. 2020;16(11). doi:<a href=\"https://doi.org/10.1371/journal.pcbi.1008402\">10.1371/journal.pcbi.1008402</a>"},"intvolume":"        16","publisher":"Public Library of Science","external_id":{"isi":["000591317200004"],"pmid":["33151935"]},"volume":16,"publication":"PLOS Computational Biology","title":"The Moran process on 2-chromatic graphs","_id":"8767","year":"2020","file_date_updated":"2020-11-18T07:26:10Z","language":[{"iso":"eng"}],"publication_status":"published","day":"05","type":"journal_article","ddc":["000"]},{"scopus_import":"1","author":[{"first_name":"Theodoros","last_name":"Mastrotheodoros","full_name":"Mastrotheodoros, Theodoros"},{"first_name":"Christoforos","full_name":"Pappas, Christoforos","last_name":"Pappas"},{"full_name":"Molnar, Peter","last_name":"Molnar","first_name":"Peter"},{"last_name":"Burlando","full_name":"Burlando, Paolo","first_name":"Paolo"},{"full_name":"Hadjidoukas, Panagiotis","last_name":"Hadjidoukas","first_name":"Panagiotis"},{"first_name":"Simone","last_name":"Fatichi","full_name":"Fatichi, Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2019-01-01T00:00:00Z","status":"public","fulldoi":"https://doi.org/10.1002/eco.2054","date_created":"2026-07-27T12:30:24Z","extern":"1","keyword":["Alpine ecohydrology","Climate change","Ecosystem sensitivity","Numerical modelling","Spatialheterogeneity"],"article_processing_charge":"No","article_type":"original","oa_version":"None","quality_controlled":"1","OA_type":"closed access","month":"01","intvolume":"        12","citation":{"mla":"Mastrotheodoros, Theodoros, et al. “Ecohydrological Dynamics in the Alps: Insights from a Modelling Analysis of the Spatial Variability.” <i>Ecohydrology</i>, vol. 12, no. 1, e2054, Wiley, 2019, doi:<a href=\"https://doi.org/10.1002/eco.2054\">10.1002/eco.2054</a>.","apa":"Mastrotheodoros, T., Pappas, C., Molnar, P., Burlando, P., Hadjidoukas, P., &#38; Fatichi, S. (2019). Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability. <i>Ecohydrology</i>. Wiley. <a href=\"https://doi.org/10.1002/eco.2054\">https://doi.org/10.1002/eco.2054</a>","ama":"Mastrotheodoros T, Pappas C, Molnar P, Burlando P, Hadjidoukas P, Fatichi S. Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability. <i>Ecohydrology</i>. 2019;12(1). doi:<a href=\"https://doi.org/10.1002/eco.2054\">10.1002/eco.2054</a>","short":"T. Mastrotheodoros, C. Pappas, P. Molnar, P. Burlando, P. Hadjidoukas, S. Fatichi, Ecohydrology 12 (2019).","ieee":"T. Mastrotheodoros, C. Pappas, P. Molnar, P. Burlando, P. Hadjidoukas, and S. Fatichi, “Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability,” <i>Ecohydrology</i>, vol. 12, no. 1. Wiley, 2019.","chicago":"Mastrotheodoros, Theodoros, Christoforos Pappas, Peter Molnar, Paolo Burlando, Panagiotis Hadjidoukas, and Simone Fatichi. “Ecohydrological Dynamics in the Alps: Insights from a Modelling Analysis of the Spatial Variability.” <i>Ecohydrology</i>. Wiley, 2019. <a href=\"https://doi.org/10.1002/eco.2054\">https://doi.org/10.1002/eco.2054</a>.","ista":"Mastrotheodoros T, Pappas C, Molnar P, Burlando P, Hadjidoukas P, Fatichi S. 2019. Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability. Ecohydrology. 12(1), e2054."},"issue":"1","date_updated":"2026-08-06T07:44:22Z","doi":"10.1002/eco.2054","das_tickbox":"1","publication_identifier":{"eissn":["1936-0592"],"issn":["1936-0584"]},"article_number":"e2054","abstract":[{"lang":"eng","text":"Mountain ecosystems are experiencing rapid warming resulting in ecological changes worldwide. Projecting the response of these ecosystems to climate change is thus crucial, but also uncertain due to complex interactions between topography, climate, and vegetation. Here, we performed numerical simulations in a real and a synthetic spatial domain covering a range of contrasting climatic conditions and vegetation characteristics representative of the European Alps. Simulations were run with the mechanistic ecohydrological model Tethys–Chloris to quantify the drivers of ecosystem functioning and to explore the vulnerability of Alpine ecosystems to climate change. We correlated the spatial distribution of ecohydrological responses with that of meteorological and topographic attributes and computed spatially explicit sensitivities of net primary productivity, transpiration, and snow cover to air temperature, radiation, and water availability. We also quantified how the variance in several ecohydrological processes, such as transpiration, quickly diminishes with increasing spatial aggregation, which highlights the importance of fine spatial resolution for resolving patterns in complex topographies. We conducted controlled numerical experiments in the synthetic domain to disentangle the effect of catchment orientation on ecohydrological variables, such as streamflow. Our results support previous studies reporting an altitude threshold below which Alpine ecosystems are water‐limited in the drier inner‐Alpine valleys and confirm that the wetter areas are temperature‐limited. High‐resolution simulations of mountainous areas can improve our understanding of ecosystem functioning across spatial scales. They can also locate the areas that are the most vulnerable to climate change and guide future measurement campaigns."}],"type":"journal_article","publication_status":"published","day":"01","title":"Ecohydrological dynamics in the Alps: Insights from a modelling analysis of the spatial variability","publication":"Ecohydrology","language":[{"iso":"eng"}],"year":"2019","_id":"22527","publisher":"Wiley","volume":12},{"_id":"22522","year":"2019","page":"652-668","language":[{"iso":"eng"}],"publication":"New Phytologist","title":"Modelling carbon sources and sinks in terrestrial vegetation","external_id":{"pmid":["30339280"]},"volume":221,"publisher":"Wiley","type":"journal_article","day":"01","publication_status":"published","publication_identifier":{"issn":["0028-646X"],"eissn":["1469-8137"]},"das_tickbox":"1","abstract":[{"text":"The increase in atmospheric CO2 in the future is one of the most certain projections in environmental sciences. Understanding whether vegetation carbon assimilation, growth, and changes in vegetation carbon stocks are affected by higher atmospheric CO2 and translating this understanding in mechanistic vegetation models is of utmost importance. This is highlighted by inconsistencies between global-scale studies that attribute terrestrial carbon sinks to CO2 stimulation of gross and net primary production on the one hand, and forest inventories, tree-scale studies, and plant physiological evidence showing a much less pronounced CO2 fertilization effect on the other hand. Here, we review how plant carbon sources and sinks are currently described in terrestrial biosphere models. We highlight an uneven representation of complexity between the modelling of photosynthesis and other processes, such as plant respiration, direct carbon sinks, and carbon allocation, largely driven by available observations. Despite a general lack of data on carbon sink dynamics to drive model improvements, ways forward toward a mechanistic representation of plant carbon sinks are discussed, leveraging on results obtained from plant-scale models and on observations geared toward model developments.","lang":"eng"}],"citation":{"short":"S. Fatichi, C. Pappas, J. Zscheischler, S. Leuzinger, New Phytologist 221 (2019) 652–668.","ama":"Fatichi S, Pappas C, Zscheischler J, Leuzinger S. Modelling carbon sources and sinks in terrestrial vegetation. <i>New Phytologist</i>. 2019;221(2):652-668. doi:<a href=\"https://doi.org/10.1111/nph.15451\">10.1111/nph.15451</a>","chicago":"Fatichi, Simone, Christoforos Pappas, Jakob Zscheischler, and Sebastian Leuzinger. “Modelling Carbon Sources and Sinks in Terrestrial Vegetation.” <i>New Phytologist</i>. Wiley, 2019. <a href=\"https://doi.org/10.1111/nph.15451\">https://doi.org/10.1111/nph.15451</a>.","ieee":"S. Fatichi, C. Pappas, J. Zscheischler, and S. Leuzinger, “Modelling carbon sources and sinks in terrestrial vegetation,” <i>New Phytologist</i>, vol. 221, no. 2. Wiley, pp. 652–668, 2019.","ista":"Fatichi S, Pappas C, Zscheischler J, Leuzinger S. 2019. Modelling carbon sources and sinks in terrestrial vegetation. New Phytologist. 221(2), 652–668.","mla":"Fatichi, Simone, et al. “Modelling Carbon Sources and Sinks in Terrestrial Vegetation.” <i>New Phytologist</i>, vol. 221, no. 2, Wiley, 2019, pp. 652–68, doi:<a href=\"https://doi.org/10.1111/nph.15451\">10.1111/nph.15451</a>.","apa":"Fatichi, S., Pappas, C., Zscheischler, J., &#38; Leuzinger, S. (2019). Modelling carbon sources and sinks in terrestrial vegetation. <i>New Phytologist</i>. Wiley. <a href=\"https://doi.org/10.1111/nph.15451\">https://doi.org/10.1111/nph.15451</a>"},"pmid":1,"intvolume":"       221","doi":"10.1111/nph.15451","issue":"2","date_updated":"2026-08-06T07:39:23Z","month":"01","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1111/nph.15451"}],"article_processing_charge":"No","keyword":["Ecosystem modelling","Nonstructural carbohydrates","Carbon cycle","Photosynthesis","Plant growth","respiration"],"OA_place":"publisher","quality_controlled":"1","OA_type":"free access","oa_version":"Published Version","article_type":"review","oa":1,"extern":"1","date_created":"2026-07-27T12:30:24Z","author":[{"first_name":"Simone","last_name":"Fatichi","full_name":"Fatichi, Simone","id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6"},{"first_name":"Christoforos","full_name":"Pappas, Christoforos","last_name":"Pappas"},{"last_name":"Zscheischler","full_name":"Zscheischler, Jakob","first_name":"Jakob"},{"first_name":"Sebastian","full_name":"Leuzinger, Sebastian","last_name":"Leuzinger"}],"scopus_import":"1","fulldoi":"https://doi.org/10.1111/nph.15451","status":"public","date_published":"2019-01-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"type":"journal_article","publication_status":"published","day":"01","title":"Variability of transit time distributions with climate and topography: A modelling approach","publication":"Journal of Hydrology","language":[{"iso":"eng"}],"page":"37-50","year":"2019","_id":"22549","publisher":"Elsevier","volume":569,"intvolume":"       569","citation":{"apa":"Remondi, F., Botter, M., Burlando, P., &#38; Fatichi, S. (2019). Variability of transit time distributions with climate and topography: A modelling approach. <i>Journal of Hydrology</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jhydrol.2018.11.011\">https://doi.org/10.1016/j.jhydrol.2018.11.011</a>","mla":"Remondi, Federica, et al. “Variability of Transit Time Distributions with Climate and Topography: A Modelling Approach.” <i>Journal of Hydrology</i>, vol. 569, Elsevier, 2019, pp. 37–50, doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2018.11.011\">10.1016/j.jhydrol.2018.11.011</a>.","ieee":"F. Remondi, M. Botter, P. Burlando, and S. Fatichi, “Variability of transit time distributions with climate and topography: A modelling approach,” <i>Journal of Hydrology</i>, vol. 569. Elsevier, pp. 37–50, 2019.","ista":"Remondi F, Botter M, Burlando P, Fatichi S. 2019. Variability of transit time distributions with climate and topography: A modelling approach. Journal of Hydrology. 569, 37–50.","chicago":"Remondi, Federica, Martina Botter, Paolo Burlando, and Simone Fatichi. “Variability of Transit Time Distributions with Climate and Topography: A Modelling Approach.” <i>Journal of Hydrology</i>. Elsevier, 2019. <a href=\"https://doi.org/10.1016/j.jhydrol.2018.11.011\">https://doi.org/10.1016/j.jhydrol.2018.11.011</a>.","short":"F. Remondi, M. Botter, P. Burlando, S. Fatichi, Journal of Hydrology 569 (2019) 37–50.","ama":"Remondi F, Botter M, Burlando P, Fatichi S. Variability of transit time distributions with climate and topography: A modelling approach. <i>Journal of Hydrology</i>. 2019;569:37-50. doi:<a href=\"https://doi.org/10.1016/j.jhydrol.2018.11.011\">10.1016/j.jhydrol.2018.11.011</a>"},"date_updated":"2026-08-06T08:12:57Z","doi":"10.1016/j.jhydrol.2018.11.011","das_tickbox":"1","publication_identifier":{"issn":["0022-1694"],"eissn":["1879-2707"]},"abstract":[{"text":"The time that rainfall takes to reach the outlet of a catchment as discharge (transit time) is a fundamental and\r\nintegrated measure of catchment hydrological processes and solute transport mechanisms. As such, many efforts\r\nhave been dedicated to its understanding and quantification. However, defining and ranking which factors,\r\ninternal and external to the system, control the distributions of transit time is still an open challenge. Here, we\r\ndevelop a two-stage approach to explore climate and topography controls on transit time, using a fully distributed hydrological model coupled with a transport component. Specifically, we apply the model to two\r\nsynthetic topographies under five observed climate regimes. With this setup, water fluxes from two years of daily\r\nrainfall events are singularly tracked across the catchments to then derive the distributions of transit time and\r\nfraction of young water for each combination of topography and climate. Results highlight a considerable\r\nvariability of transit times in all climates and a pronounced effect of topography within a given climate. They\r\nfurther reveal that for wet climates it is possible to define a curve describing water transit time as a function of\r\ncumulative discharge that only depends on topographic properties. On the contrary, in dry climates the variability of transit time and young water fraction is much larger and not amenable to a simple summary. Despite\r\nsimplifications, quantitative model-based inferences of transit time distributions are useful to better understand\r\nhow climate and topography affect catchment functioning.","lang":"eng"}],"article_processing_charge":"No","keyword":["Transit time distributions","Young water","Climate","Topography","Distributed hydrological modelling"],"article_type":"original","oa_version":"None","quality_controlled":"1","OA_type":"closed access","month":"02","scopus_import":"1","author":[{"first_name":"Federica","full_name":"Remondi, Federica","last_name":"Remondi"},{"full_name":"Botter, Martina","last_name":"Botter","first_name":"Martina"},{"full_name":"Burlando, Paolo","last_name":"Burlando","first_name":"Paolo"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","first_name":"Simone","full_name":"Fatichi, Simone","last_name":"Fatichi"}],"date_published":"2019-02-01T00:00:00Z","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","status":"public","fulldoi":"https://doi.org/10.1016/j.jhydrol.2018.11.011","date_created":"2026-07-27T12:30:24Z","extern":"1"},{"date_published":"2018-10-05T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","fulldoi":"https://doi.org/10.1088/1748-9326/aae267","status":"public","license":"https://creativecommons.org/licenses/by/3.0/","scopus_import":"1","tmp":{"name":"Creative Commons Attribution 3.0 Unported (CC BY 3.0)","legal_code_url":"https://creativecommons.org/licenses/by/3.0/legalcode","image":"/images/cc_by.png","short":"CC BY (3.0)"},"author":[{"full_name":"Paschalis, Athanasios","last_name":"Paschalis","first_name":"Athanasios"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","first_name":"Simone","full_name":"Fatichi, Simone","last_name":"Fatichi"},{"first_name":"Christoforos","last_name":"Pappas","full_name":"Pappas, Christoforos"},{"last_name":"Or","full_name":"Or, Dani","first_name":"Dani"}],"date_created":"2026-07-27T12:30:24Z","extern":"1","oa":1,"DOAJ_listed":"1","article_type":"letter_note","oa_version":"Published Version","OA_place":"publisher","OA_type":"gold","quality_controlled":"1","keyword":["T/ET","Evapotranspiration partitioning","Ecohydrology","Modelling","Climate change"],"article_processing_charge":"No","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1088/1748-9326/aae267"}],"has_accepted_license":"1","month":"10","date_updated":"2026-08-06T07:46:04Z","issue":"10","doi":"10.1088/1748-9326/aae267","intvolume":"        13","citation":{"chicago":"Paschalis, Athanasios, Simone Fatichi, Christoforos Pappas, and Dani Or. “Covariation of Vegetation and Climate Constrains Present and Future T/ET Variability.” <i>Environmental Research Letters</i>. IOP Publishing , 2018. <a href=\"https://doi.org/10.1088/1748-9326/aae267\">https://doi.org/10.1088/1748-9326/aae267</a>.","ista":"Paschalis A, Fatichi S, Pappas C, Or D. 2018. Covariation of vegetation and climate constrains present and future T/ET variability. Environmental Research Letters. 13(10), 104012.","ieee":"A. Paschalis, S. Fatichi, C. Pappas, and D. Or, “Covariation of vegetation and climate constrains present and future T/ET variability,” <i>Environmental Research Letters</i>, vol. 13, no. 10. IOP Publishing , 2018.","short":"A. Paschalis, S. Fatichi, C. Pappas, D. Or, Environmental Research Letters 13 (2018).","ama":"Paschalis A, Fatichi S, Pappas C, Or D. Covariation of vegetation and climate constrains present and future T/ET variability. <i>Environmental Research Letters</i>. 2018;13(10). doi:<a href=\"https://doi.org/10.1088/1748-9326/aae267\">10.1088/1748-9326/aae267</a>","apa":"Paschalis, A., Fatichi, S., Pappas, C., &#38; Or, D. (2018). Covariation of vegetation and climate constrains present and future T/ET variability. <i>Environmental Research Letters</i>. IOP Publishing . <a href=\"https://doi.org/10.1088/1748-9326/aae267\">https://doi.org/10.1088/1748-9326/aae267</a>","mla":"Paschalis, Athanasios, et al. “Covariation of Vegetation and Climate Constrains Present and Future T/ET Variability.” <i>Environmental Research Letters</i>, vol. 13, no. 10, 104012, IOP Publishing , 2018, doi:<a href=\"https://doi.org/10.1088/1748-9326/aae267\">10.1088/1748-9326/aae267</a>."},"abstract":[{"lang":"eng","text":"The reliable partitioning of the terrestrial latent heat flux into evaporation (E) and transpiration (T) is important for linking carbon and water cycles and for better understanding ecosystem functioning at local, regional and global scales. Previous research revealed that the transpiration-to-evapotranspiration ratio (T/ET) is well constrained across ecosystems and is nearly independent of vegetation characteristics and climate. Here we investigated the reasons for such a global constancy in present-day T/ET by jointly analysing observations and process-based model simulations. Using this framework, we also quantified how the ratio T/ET could be influenced by changing climate. For present conditions, we found that the various components of land surface evaporation (bare soil evaporation, below canopy soil evaporation, evaporation from interception), and their respective ratios to plant transpiration, depend largely on local climate and equilibrium vegetation properties. The systematic covariation between local vegetation characteristics and climate, resulted in a globally constrained value of T/ET = ∼70 ± 9% for undisturbed ecosystems, nearly independent of specific climate and vegetation attributes. Moreover, changes in precipitation amounts and patterns, increasing air temperatures, atmospheric CO2 concentration, and specific leaf area (the ratio of leaf area per leaf mass) was found to affect T/ET in various manners. However, even extreme changes in the aforementioned factors did not significantly modify T/ET."}],"das_tickbox":"1","publication_identifier":{"eissn":["1748-9326"]},"article_number":"104012","publication_status":"published","day":"05","type":"journal_article","ddc":["550"],"publisher":"IOP Publishing ","volume":13,"title":"Covariation of vegetation and climate constrains present and future T/ET variability","publication":"Environmental Research Letters","language":[{"iso":"eng"}],"year":"2018","_id":"22540"}]