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International Journal of Disaster Risk Reduction 23 128-"},{"key":"p_14","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1016\/j.ijdrr.2017.05.005","DOI":"10.1016\/j.ijdrr.2017.05.005"},{"key":"p_15","unstructured":"Becker M. Da Silva J.S. Calmant S. Robinet V. Linguet L. & Seyler F. (2014). Water Level"},{"key":"p_16","unstructured":"Fluctuations in the Congo Basin Derived from ENVISAT Satellite Altimetry. Remote Sensing 6(10)"},{"key":"p_17","doi-asserted-by":"crossref","unstructured":"9340-9358. https:\/\/doi.org\/10.3390\/rs6109340","DOI":"10.3390\/rs6109340"},{"key":"p_18","unstructured":"Beguer\u00eda S. Vicente-Serrano S.M. Reig F. & Latorre B. (2014). Standardized precipitation"},{"key":"p_19","unstructured":"evapotranspiration index (SPEI) revisited: Parameter fitting evapotranspiration models tools datasets and"},{"key":"p_20","doi-asserted-by":"crossref","unstructured":"drought monitoring. Int. J. Climatol. 34 3001-3023 https:\/\/doi.org\/10.1002\/joc.3887","DOI":"10.1002\/joc.3887"},{"key":"p_21","unstructured":"Bell J.P. Tompkins A.M. Bouka-Biona C. & Sanda I.S. (2015). A process-based investigation into the"},{"key":"p_22","unstructured":"impact of the Congo basin deforestation on surface climate. J. Geophys. Res. Atmos. 120 5721- 5739."},{"key":"p_23","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1002\/2014JD022586","DOI":"10.1002\/2014JD022586"},{"key":"p_24","unstructured":"Chakraborty S. Jiang J. H. Su H. & Fu R. (2020). Deep convective evolution from shallow clouds over"},{"key":"p_25","unstructured":"the Amazon and Congo rainforests. J. Geophys. Res. Atmos. 125 e2019JD030962."},{"key":"p_26","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1029\/2019JD030962","DOI":"10.1029\/2019JD030962"},{"key":"p_27","unstructured":"Dargie G.C. Lawson I.T. Rayden T.J. Miles L. Mitchard E.T.A. Page S.E. etal (2019). Congo"},{"key":"p_28","doi-asserted-by":"crossref","unstructured":"Basin peatlands: threats and conservation priorities. Mitig Adapt Strateg Glob Change 24 669-686.","DOI":"10.1007\/s11027-017-9774-8"},{"key":"p_29","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1007\/s11027-017-9774-8","DOI":"10.1007\/s11027-017-9774-8"},{"key":"p_30","unstructured":"de Wasseige C. Tadoum M. Eba'a Atyi R. & Doumenge C. (Eds.). (2015). The Forests of the Congo"},{"key":"p_31","unstructured":"Basin - Forests and climate change. Weyrich. Belgium. 128 p. ISBN: 978-2-87489-355-1."},{"key":"p_32","unstructured":"https:\/\/agritrop.cirad.fr\/578904\/1\/Forets%20of%20the%20congo%20basin.pdf"},{"key":"p_33","unstructured":"Dee D. P. Uppala S.M. Simmons A.J. Berrisford P. Poli P. Kobayasji S. etal (2011) The ERA"},{"key":"p_34","unstructured":"Interim reanalysis: Configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc."},{"key":"p_35","doi-asserted-by":"crossref","unstructured":"137 553-597. https:\/\/doi.org\/10.1002\/qj.828","DOI":"10.1002\/qj.828"},{"key":"p_36","unstructured":"Drumond A. Marengo J. Ambrizzi T. Nieto R. Moreira L. & Gimeno L. (2014) The role of the"},{"key":"p_37","unstructured":"Amazon Basin moisture in the atmospheric branch of the hydrological cycle: a Lagrangian analysis"},{"key":"p_38","doi-asserted-by":"crossref","unstructured":"Hydrol. Earth Syst. Sci. 18 2577-2598. https:\/\/doi.org\/10.5194\/hess-18-2577-2014","DOI":"10.5194\/hess-18-2577-2014"},{"key":"p_39","unstructured":"Dyer E.L.E. Jones D.B.A. Nusbaumer J. Li H. Collins O. Vettoretti G. & Noone D. (2017) Congo"},{"key":"p_40","unstructured":"Basin precipitation: Assessing seasonality regional interactions and sources of moisture J. Geophys. Res."},{"key":"p_41","doi-asserted-by":"crossref","unstructured":"Atmos. 122 6882-6898 https:\/\/doi.org\/10.1002\/2016JD026240","DOI":"10.1002\/2016JD026240"},{"key":"p_42","unstructured":"Edwards D.C. & McKee T.B. (1997) Characteristics of 20th century drought in the United States at"},{"key":"p_43","unstructured":"multiple time scales. Climatology Report 97-2 Department of Atmospheric Science Colorado State"},{"key":"p_44","unstructured":"University Fort Collins Colorado. https:\/\/mountainscholar.org\/handle\/10217\/170176"},{"key":"p_45","doi-asserted-by":"crossref","unstructured":"Eltahir E.A.B. (1996). Role of vegetation in sustaining large-scale atmospheric circulations in the tropics","DOI":"10.1029\/95JD03632"},{"key":"p_46","doi-asserted-by":"crossref","unstructured":"J. Geophys. Res. 101(D2) 4255-4268. https:\/\/doi.org\/10.1029\/95JD03632","DOI":"10.1029\/95JD03632"},{"key":"p_47","unstructured":"Funk C. Peterson P. Landsfeld M. etal (2015). The climate hazards infrared precipitation with"},{"key":"p_48","unstructured":"stations-a new environmental record for monitoring extremes. Sci Data 2 150066."},{"key":"p_49","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1038\/sdata.2015.66","DOI":"10.1038\/sdata.2015.66"},{"key":"p_50","doi-asserted-by":"crossref","unstructured":"Gautier D. Denis D. & Locatelli B. (2016). Impacts of drought and responses of rural populations in","DOI":"10.1002\/wcc.411"},{"key":"p_51","doi-asserted-by":"crossref","unstructured":"West Africa: a systematic review. WIREs Clim Change 7 666-681. https:\/\/doi.org\/10.1002\/wcc.411","DOI":"10.1002\/wcc.411"},{"key":"p_52","doi-asserted-by":"crossref","unstructured":"Gimeno L. Nieto R. & Sor\u00ed R. (2020). The growing importance of oceanic moisture sources for","DOI":"10.1038\/s41612-020-00133-y"},{"key":"p_53","doi-asserted-by":"crossref","unstructured":"continental precipitation. npj Clim Atmos Sci 3 27. https:\/\/doi.org\/10.1038\/s41612-020-00133-y","DOI":"10.1038\/s41612-020-00133-y"},{"key":"p_54","unstructured":"Harada Y. Kamahori H. Kobayashi C. Endo H Kobayashi S. Ota Y. etal (2016) The JRA-55"},{"key":"p_55","unstructured":"Reanalysis: Representation of atmospheric circulation and climate variability J. Meteor. Soc. Japan 94"},{"key":"p_56","doi-asserted-by":"crossref","unstructured":"269-302 https:\/\/doi.org\/10.2151\/jmsj.2016-015","DOI":"10.2151\/jmsj.2016-015"},{"key":"p_57","unstructured":"Harris I. Jones P. Osborn T. & Lister D. (2014). Updated high-resolution grids of monthly climatic"},{"key":"p_58","doi-asserted-by":"crossref","unstructured":"observations - the CRU TS3.10 Dataset. Int. J. Climatol. 34 623-642. https:\/\/doi.org\/10.1002\/joc.3711","DOI":"10.1002\/joc.3711"},{"key":"p_59","doi-asserted-by":"crossref","unstructured":"Harris I. Osborn T.J. Jones P. etal (2020). Version 4 of the CRU TS monthly high-resolution gridded","DOI":"10.1038\/s41597-020-0453-3"},{"key":"p_60","doi-asserted-by":"crossref","unstructured":"multivariate climate dataset. Sci Data 7 109. https:\/\/doi.org\/10.1038\/s41597-020-0453-3","DOI":"10.1038\/s41597-020-0453-3"},{"key":"p_61","article-title":"A modified Mann-Kendall trend test for autocorrelated data","author":"Hamed K.H.","year":"1998","journal-title":"Journal of"},{"key":"p_62","doi-asserted-by":"crossref","unstructured":"Hydrology 204 182-196. https:\/\/doi.org\/10.1016\/S0022-1694(97)00125-X","DOI":"10.1016\/S0022-1694(97)00125-X"},{"key":"p_63","unstructured":"Hipel K.W. & McLeod A.I. (1994). Time Series Modelling of Water Resources and Environmental"},{"key":"p_64","doi-asserted-by":"crossref","unstructured":"Systems. 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Widespread increase of"},{"key":"p_72","doi-asserted-by":"crossref","unstructured":"boreal summer dry season length over the Congo rainforest. Nature Climate Change 9 617-622.","DOI":"10.1038\/s41558-019-0512-y"},{"key":"p_73","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1038\/s41558-019-0512-y","DOI":"10.1038\/s41558-019-0512-y"},{"key":"p_74","unstructured":"Kamali B. Abbaspour K.C. Lehmann A. Wehrli B. & Yang H. (2018) Spatial assessment of maize"},{"key":"p_75","unstructured":"physical drought vulnerability in sub-Saharan Africa: Linking drought exposure with crop failure."},{"key":"p_76","doi-asserted-by":"crossref","unstructured":"Environ. Res. Lett. 13 074010. https:\/\/doi.org\/10.1088\/1748-9326\/aacb37","DOI":"10.1088\/1748-9326\/aacb37"},{"key":"p_77","unstructured":"Kendall M.G. 1975. Rank Correlation Methods 4th edition Charles Griffin London."},{"key":"p_78","unstructured":"Kobayashi S. Ota Y. Harada Y. Ebita A. Moriya M. Onoda H. etal (2015). The JRA-55"},{"key":"p_79","doi-asserted-by":"crossref","unstructured":"Reanalysis: General specifications and basic characteristics. J. Meteor. Soc. Japan 93 5-48.","DOI":"10.2151\/jmsj.2015-001"},{"key":"p_80","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.2151\/jmsj.2015-001","DOI":"10.2151\/jmsj.2015-001"},{"key":"p_81","doi-asserted-by":"crossref","unstructured":"Koutrouvelis I.A. & Canavos G.C. (1999). Estimation in the Pearson type 3 distribution Water Resour.","DOI":"10.1029\/1999WR900174"},{"key":"p_82","doi-asserted-by":"crossref","unstructured":"Res. 35(9) 2693-2704. https:\/\/doi.org\/10.1029\/1999WR900174","DOI":"10.1029\/1999WR900174"},{"key":"p_83","doi-asserted-by":"crossref","unstructured":"Mah\u00e9 G. Servat E. & Maley J. (2004). Climatic variability in the Tropics. 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(1993) The relationship of drought frequency and duration to time"},{"key":"p_91","unstructured":"scales Eighth Conference on Applied Climatology 17-22 January Anaheim California."},{"key":"p_92","unstructured":"https:\/\/www.droughtmanagement.info\/literature\/AMS_Relationship_Drought_Frequency_Duration_Tim"},{"key":"p_93","unstructured":"e_Scales_1993.pdf"},{"key":"p_94","unstructured":"Megevand C. Mosnier A. Hourticq J. Sanders K. Doetinchem N. Streck C. (Eds.) 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Giorgi F. & Mariotti L. (2013). Impact of Congo Basin deforestation on the","DOI":"10.1002\/asl2.416"},{"key":"p_115","doi-asserted-by":"crossref","unstructured":"African monsoon. Atmos. Sci. Lett 14 45-51. https:\/\/doi.org\/10.1002\/asl2.416","DOI":"10.1002\/asl2.416"},{"key":"p_116","doi-asserted-by":"crossref","unstructured":"Numaguti A. (1999). Origin and recycling processes of precipitating water over the Eurasian continent:","DOI":"10.1029\/1998JD200026"},{"key":"p_117","unstructured":"Experiments using an atmospheric general circulation model J. Geophys. Res. 104( D2) 1957- 1972"},{"key":"p_118","doi-asserted-by":"crossref","unstructured":"doi:10.1029\/1998JD200026.","DOI":"10.1029\/1998JD200026"},{"key":"p_119","unstructured":"Ordo\u00f1ez P. Ribera P. Gallego D. & Pe\u00f1a-Ortiz C. (2012). 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(2012). Atmospheric water vapor transport and"},{"key":"p_127","doi-asserted-by":"crossref","unstructured":"recycling in Equatorial Central Africa through NCEP\/NCAR reanalysis data. Climate Dynamics 38 1715-","DOI":"10.1007\/s00382-011-1242-7"},{"key":"p_128","doi-asserted-by":"crossref","unstructured":"1729. https:\/\/doi.org\/10.1007\/s00382-011-1242-7","DOI":"10.1007\/s00382-011-1242-7"},{"key":"p_129","unstructured":"Raghavendra A. Zhou L. Roundy P.E. Jiang Y. Milard S.M. Hua W. & Xia G. (2020). The MJO's"},{"key":"p_130","doi-asserted-by":"crossref","unstructured":"impact on rainfall trends over the Congo rainforest. Climate Dynamics 54 2683-2695.","DOI":"10.1007\/s00382-020-05133-5"},{"key":"p_131","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1007\/s00382-020-05133-5","DOI":"10.1007\/s00382-020-05133-5"},{"key":"p_132","article-title":"Estimates of the Regression Coefficient Based on Kendall's Tau","author":"Sen P.K.","year":"1968","journal-title":"Journal of the American"},{"key":"p_133","unstructured":"Statistical Association 63 1379-1389."},{"key":"p_134","unstructured":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/01621459.1968.10480934?needAccess=true"},{"key":"p_135","doi-asserted-by":"crossref","unstructured":"Singh V.P. (1998) Three-Parameter Log-Logistic Distribution. Entropy-Based Parameter Estimation in","DOI":"10.1007\/978-94-017-1431-0_18"},{"key":"p_136","doi-asserted-by":"crossref","unstructured":"Hydrology 30 297-311. https:\/\/doi.org\/10.1007\/978-94-017-1431-0_18","DOI":"10.1007\/978-94-017-1431-0_18"},{"key":"p_137","unstructured":"Sonwa D.J. Oumarou Farikou M. Martial G. & F\u00e9lix F.L. (2020) Living under a Fluctuating Climate"},{"key":"p_138","doi-asserted-by":"crossref","unstructured":"and a Drying Congo Basin. Sustainability 12 2936. https:\/\/doi.org\/10.3390\/su12072936","DOI":"10.3390\/su12072936"},{"key":"p_139","unstructured":"Sor\u00ed R. Nieto R. Vicente-Serrano S.M. Drumond A. & Gimeno L. (2017) A Lagrangian perspective of"},{"key":"p_140","unstructured":"the hydrological cycle in the Congo River basin. Earth Syst. Dyn. 8 653-675. https:\/\/doi.org\/10.5194\/esd"},{"key":"p_141","unstructured":"8-653-2017"},{"key":"p_142","unstructured":"Sor\u00ed R. Marengo J. Nieto R. Drumond A. & Gimeno L. (2018). The Atmospheric Branch of the"},{"key":"p_143","doi-asserted-by":"crossref","unstructured":"Hydrological Cycle over the Negro and Madeira River Basins in the Amazon Region Water 2018 10(6)","DOI":"10.3390\/w10060738"},{"key":"p_144","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.3390\/w10060738","DOI":"10.3390\/w10060738"},{"key":"p_145","unstructured":"Spinoni J. Barbosa P. De Jager A. McCormick N. Naumann G. Vogt J.V. etal (2019). A new"},{"key":"p_146","unstructured":"Journal of Hydrology: Regional 1951 to 2016"},{"key":"p_147","doi-asserted-by":"crossref","unstructured":"Studies 22 100593. https:\/\/doi.org\/10.1016\/j.ejrh.2019.100593","DOI":"10.1016\/j.ejrh.2019.100593"},{"key":"p_148","doi-asserted-by":"crossref","unstructured":"Stohl A. & James P. (2004). A Lagrangian analysis of the atmospheric branch of the global water cycle.","DOI":"10.1175\/1525-7541(2004)005<0656:ALAOTA>2.0.CO;2"},{"key":"p_149","unstructured":"Part I: Method description validation and demonstration for the August 2002 flooding in central Europe."},{"key":"p_150","doi-asserted-by":"crossref","unstructured":"J. Hydrometeor. 5 656-678. https:\/\/doi.org\/10.1175\/1525-7541(2004)005<0656:ALAOTA>2.0.CO;2","DOI":"10.1175\/1525-7541(2004)005<0656:ALAOTA>2.0.CO;2"},{"key":"p_151","doi-asserted-by":"crossref","unstructured":"Stohl A. & James P. (2005). A Lagrangian analysis of the atmospheric branch of the global water cycle.","DOI":"10.1175\/JHM470.1"},{"key":"p_152","doi-asserted-by":"crossref","unstructured":"Part II: Moisture transports between Earth's ocean basins and river catchments. J. Hydrometeor. 6 961-","DOI":"10.1175\/JHM470.1"},{"key":"p_153","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1175\/JHM470.1","DOI":"10.1175\/JHM470.1"},{"key":"p_154","unstructured":"Tomas-Burguera M. Vicente-Serrano S.M. Pe\u00f1a-Angulo D. Dom\u00ednguez-Castro F. Noguera I. El"},{"key":"p_155","unstructured":"Kenawy A. (2020). Global Characterization of the Varying Responses of the Standardized Precipitation"},{"key":"p_156","unstructured":"Evapotranspiration Index to Atmospheric Evaporative Demand. J. Geophys. Res. Atmos. 125(17)"},{"key":"p_157","doi-asserted-by":"crossref","unstructured":"e2020JD033017. https:\/\/doi.org\/10.1029\/2020JD033017","DOI":"10.1029\/2020JD033017"},{"key":"p_158","unstructured":"Tyukavina A. Hansen M.C. Potapov P. Parker D. Okpa C. Stehman S.V. etal (2018). Congo Basin"},{"key":"p_159","doi-asserted-by":"crossref","unstructured":"forest loss dominated by increasing smallholder clearing. Science Advance 4(11) eaat2993.","DOI":"10.1126\/sciadv.aat2993"},{"key":"p_160","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1126\/sciadv.aat2993","DOI":"10.1126\/sciadv.aat2993"},{"key":"p_161","unstructured":"Ugbaje S.U. & Bishop T.F. (2020). Hydrological Control of Vegetation Greenness Dynamics in Africa:"},{"key":"p_162","unstructured":"A Multivariate Analysis Using Satellite Observed Soil Moisture Terrestrial Water Storage and"},{"key":"p_163","doi-asserted-by":"crossref","unstructured":"Precipitation 9(1) 15. https:\/\/doi.org\/10.3390\/land9010015","DOI":"10.3390\/land9010015"},{"key":"p_164","unstructured":"van der Ent R.J. Savenije H.H.G. Schaefli B. & Steele-Dunne S. C. (2010). Origin and fate of"},{"key":"p_165","unstructured":"atmospheric moisture over continents Water Resour. Res. 46 1-12."},{"key":"p_166","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1029\/2010WR009127","DOI":"10.1029\/2010WR009127"},{"key":"p_167","doi-asserted-by":"crossref","unstructured":"van der Ent R. J. & Savenije H.H.G. (2011). Length and time scales of atmospheric moisture recycling","DOI":"10.5194\/acp-11-1853-2011"},{"key":"p_168","doi-asserted-by":"crossref","unstructured":"Atmos. Chem. Phys. 11 1853-1863. https:\/\/doi.org\/10.5194\/acp-11-1853-2011","DOI":"10.5194\/acp-11-1853-2011"},{"key":"p_169","unstructured":"Vicente-Serrano S. M. (2006). Differences in Spatial Patterns of Drought on Different Time Scales: An"},{"key":"p_170","unstructured":"Analysis of the Iberian Peninsula. Water Resources Management 20 37-60."},{"key":"p_171","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1007\/s11269-006-2974-8","DOI":"10.1007\/s11269-006-2974-8"},{"key":"p_172","unstructured":"Vicente-Serrano S. M. Beguer\u00eda S. & L\u00f3pez-Moreno J. I. (2010). A multiscalar drought index sensitive"},{"key":"p_173","doi-asserted-by":"crossref","unstructured":"to global warming: The standardized precipitation evapotranspiration index. J. Climate 23 1696-1718.","DOI":"10.1175\/2009JCLI2909.1"},{"key":"p_174","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1175\/2009JCLI2909.1","DOI":"10.1175\/2009JCLI2909.1"},{"key":"p_175","unstructured":"Vicente-Serrano S.M. Beguer\u00eda S. Gimeno L. Eklundh L. Giuliani G. Weston D. etal (2012)."},{"key":"p_176","unstructured":"Challenges for drought mitigation in Africa: The potential use of geospatial data and drought information"},{"key":"p_177","doi-asserted-by":"crossref","unstructured":"systems Applied Geography 34 471-486. https:\/\/doi.org\/10.1016\/j.apgeog.2012.02.001","DOI":"10.1016\/j.apgeog.2012.02.001"},{"key":"p_178","unstructured":"Washington R James R Pearce H Pokam WM & Moufouma-Okia W. (2013). Congo Basin rainfall"},{"key":"p_179","unstructured":"climatology: can we believe the climate models?. Philos Trans R Soc Lond B Biol Sci. 368(1625)"},{"key":"p_180","doi-asserted-by":"crossref","unstructured":"20120296. https:\/\/doi.org\/10.1098\/rstb.2012.0296","DOI":"10.1098\/rstb.2012.0296"},{"key":"p_181","unstructured":"Wigneron J.P. Fan L. Ciais P. Bastos A. Brandt M. Chave J. etal (2020). Tropical forests did not"},{"key":"p_182","unstructured":"recover from the strong 2015-2016 El Ni\u00f1o event. Science Advances 6 eaay4603."},{"key":"p_183","doi-asserted-by":"crossref","unstructured":"https:\/\/doi.org\/10.1126\/sciadv.aay4603","DOI":"10.1126\/sciadv.aay4603"},{"key":"p_184","unstructured":"Wilhite D.A. (1992). \"Drought\". Drought Mitigation Center Faculty Publications. 64."},{"key":"p_185","unstructured":"http:\/\/digitalcommons.unl.edu\/droughtfacpub\/64"},{"key":"p_186","doi-asserted-by":"crossref","unstructured":"Wilhite D. A. & Glantz M. H. (1985). Understanding the drought phenomenon: The role of definitions.","DOI":"10.1080\/02508068508686328"},{"key":"p_187","doi-asserted-by":"crossref","unstructured":"Water Int. 10 111-120. https:\/\/doi.org\/10.1080\/02508068508686328","DOI":"10.1080\/02508068508686328"}],"container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T07:06:55Z","timestamp":1775804815000},"score":1,"resource":{"primary":{"URL":"https:\/\/essopenarchive.org\/doi\/full\/10.1002\/essoar.10505903.1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,20]]},"references-count":187,"URL":"https:\/\/doi.org\/10.1002\/essoar.10505903.1","relation":{"is-preprint-of":[{"id-type":"doi","id":"10.1002\/9781119657002.ch11","asserted-by":"subject"}]},"subject":[],"published":{"date-parts":[[2021,1,20]]},"subtype":"preprint"}}