000917278 001__ 917278
000917278 005__ 20230224084238.0
000917278 0247_ $$2doi$$a10.1016/j.jhydrol.2022.128267
000917278 0247_ $$2ISSN$$a0022-1694
000917278 0247_ $$2ISSN$$a1879-2707
000917278 0247_ $$2WOS$$aWOS:000860574300003
000917278 037__ $$aFZJ-2023-00508
000917278 041__ $$aEnglish
000917278 082__ $$a690
000917278 1001_ $$0P:(DE-HGF)0$$aGhodichore, Nikhil$$b0
000917278 245__ $$aIsolating the effects of land use land cover change and inter-decadal climate variations on the water and energy cycles over India, 1981–2010
000917278 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2022
000917278 3367_ $$2DRIVER$$aarticle
000917278 3367_ $$2DataCite$$aOutput Types/Journal article
000917278 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1673536897_13721
000917278 3367_ $$2BibTeX$$aARTICLE
000917278 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000917278 3367_ $$00$$2EndNote$$aJournal Article
000917278 520__ $$aAim of this work is the assessment of the individual and combined impacts of land use land cover change (LULCC) and inter-decadal climate variations (CV) on the water and energy cycles over India, given extensive land use land cover change over the last decades. In this study, we quantify the contributions of LULC and CV on changes in the water and energy cycles over the Indian subcontinent through a scenario-based approach, with Community Land Model version 4.5 (CLM4.5) model runs from 1981 to 2010. The approach involves four simulation scenarios: (i) the first scenario considers no LULCC or CV (LULC is fixed and the atmospheric forcings for 1981–1990 are repeated in the decades afterwards); (ii) the second scenario considers only the impact of CV; (iii) the third scenario considers only the effect of LULCC by updating the LULC every 10 years; and (iv) the fourth scenario considers the combined impact of LULCC and CV. LULCC causes an overall decrease in the evapotranspiration (ET) and soil moisture (SM) by 0.3 % and 0.1 % respectively (comparing 1991–2010 with 1981–1990), while the net radiation changes < 1 %. On the other hand, CV caused an increase in the ET, SM and net radiation by + 5.4 %, +1.5 % and + 1.0 % respectively, in spite of decrease of precipitation of 6.6 %. The combined effect of LULCC and CV leads to an increase in the overall ET by 3.8 %. Among the LULC transitions, deforestation and urbanization are found to be the major causes for hydrological changes over the decades, but their impact is much smaller, since CV has a greater impact on the hydrological cycles over India than LULC. The in-depth understanding of the distinct contributions of LULCC and CV on the water and energy cycles in tropical and subtropical regions can be used for framing future water resources planning and management policies.
000917278 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000917278 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000917278 7001_ $$0P:(DE-HGF)0$$aDhanya, C. T.$$b1
000917278 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b2
000917278 773__ $$0PERI:(DE-600)1473173-3$$a10.1016/j.jhydrol.2022.128267$$gVol. 612, p. 128267 -$$p128267 -$$tJournal of hydrology$$v612$$x0022-1694$$y2022
000917278 909CO $$ooai:juser.fz-juelich.de:917278$$pVDB
000917278 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138662$$aForschungszentrum Jülich$$b2$$kFZJ
000917278 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2173$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
000917278 9141_ $$y2022
000917278 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-23$$wger
000917278 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ HYDROL : 2021$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-23
000917278 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bJ HYDROL : 2021$$d2022-11-23
000917278 920__ $$lyes
000917278 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x0
000917278 980__ $$ajournal
000917278 980__ $$aVDB
000917278 980__ $$aI:(DE-Juel1)IBG-3-20101118
000917278 980__ $$aUNRESTRICTED