Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33734
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dc.contributor.authorXu, Guoyuen_UK
dc.contributor.authorXiao, Jieen_UK
dc.contributor.authorOliver, David Men_UK
dc.contributor.authorYang, Zhiqien_UK
dc.contributor.authorXiong, Kangningen_UK
dc.contributor.authorZhao, Zhongmingen_UK
dc.contributor.authorZheng, Lilinen_UK
dc.contributor.authorFan, Hongxiangen_UK
dc.contributor.authorZhang, Fuxiangen_UK
dc.date.accessioned2021-12-10T01:03:47Z-
dc.date.available2021-12-10T01:03:47Z-
dc.date.issued2021-12en_UK
dc.identifier.other108453en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33734-
dc.description.abstractExcessive nitrogen and phosphorus inputs to land and subsequent export to water via runoff leads to aquatic ecosystem deterioration. The WRB is the world’s largest karst basin which is characterized by a fragile ecosystem coupling with high population pressure, and the transformation of intensive agriculture. Quantifying different sources of pollution in karst regions is challenging due to the complexity of landscape topography and geology coupled with high transmissivity and connectivity of subsurface hydrological systems. This results in large uncertainty associated with nitrogen (N) and phosphorus (P) flow pathways. This combination of factors contributes to the WRB being a high priority for quantitatively understanding the contribution of regional nutrient inputs and those of other major water quality determinants. Here we applied the latest statistical data (2000–2018) and simple quasi-mass-balance methods of net anthropogenic nitrogen and phosphorus inputs (NANI and NAPI) to estimate spatio-temporal heterogeneity of N and P inputs. The results show that while NANI and NAPI are first decreasing, this is followed by an increasing trend during 2000–2018, with average values of 11262.06 ± 2732 kg N km− 2 yr−1 and 2653.91 ± 863 kg P km−2 yr−1 respectively. High N and P concentrations in the river drainage network are related to the spatial distribution of excessive inputs of N and P. Rapid urbanization, livestock farming and the conflicts between economic development and lagged-environmental management are the main reasons for the incremental regional N and P inputs. Management decisions on nutrient pollution in karst regions need careful consideration to reduce ecological impacts and contamination of karst aquifers. This study provides new insight for policy and decision making in the WRB, highlighting policy options for managing nutrient inputs and providing recommendations for closing the science-policy divide.en_UK
dc.language.isoenen_UK
dc.publisherElsevier BVen_UK
dc.relationXu G, Xiao J, Oliver DM, Yang Z, Xiong K, Zhao Z, Zheng L, Fan H & Zhang F (2021) Spatio-temporal characteristics and determinants of anthropogenic nitrogen and phosphorus inputs in an ecologically fragile karst basin: Environmental responses and management strategies. Ecological Indicators, 133, Art. No.: 108453. https://doi.org/10.1016/j.ecolind.2021.108453en_UK
dc.rightsThis article is available under the Creative Commons CC-BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. For commercial reuse, permission must be requesteden_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectNANI&NAPIen_UK
dc.subjectTemporal-temporal heterogeneityen_UK
dc.subjectThe Grid fractal dimensionen_UK
dc.subjectEnvironment responsesen_UK
dc.subjectGeographical detector modelen_UK
dc.subjectDeterminant analysisen_UK
dc.titleSpatio-temporal characteristics and determinants of anthropogenic nitrogen and phosphorus inputs in an ecologically fragile karst basin: Environmental responses and management strategiesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1016/j.ecolind.2021.108453en_UK
dc.citation.jtitleEcological Indicatorsen_UK
dc.citation.issn1470-160Xen_UK
dc.citation.volume133en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderAA Enviroen_UK
dc.author.emaildavid.oliver@stir.ac.uken_UK
dc.citation.date09/12/2021en_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of the Chinese Academy of Sciencesen_UK
dc.contributor.affiliationGuizhou Normal Universityen_UK
dc.contributor.affiliationKing's College Londonen_UK
dc.contributor.affiliationEast China Normal Universityen_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.contributor.affiliationChinese Academy of Sciencesen_UK
dc.identifier.isiWOS:000760197200002en_UK
dc.identifier.scopusid2-s2.0-85120743298en_UK
dc.identifier.wtid1779978en_UK
dc.contributor.orcid0000-0002-6200-562Xen_UK
dc.date.accepted2021-12-05en_UK
dcterms.dateAccepted2021-12-05en_UK
dc.date.filedepositdate2021-12-09en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorXu, Guoyu|en_UK
local.rioxx.authorXiao, Jie|en_UK
local.rioxx.authorOliver, David M|0000-0002-6200-562Xen_UK
local.rioxx.authorYang, Zhiqi|en_UK
local.rioxx.authorXiong, Kangning|en_UK
local.rioxx.authorZhao, Zhongming|en_UK
local.rioxx.authorZheng, Lilin|en_UK
local.rioxx.authorFan, Hongxiang|en_UK
local.rioxx.authorZhang, Fuxiang|en_UK
local.rioxx.projectProject ID unknown|AA Enviro|en_UK
local.rioxx.freetoreaddate2021-12-09en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2021-12-09|en_UK
local.rioxx.filenameXu et al 2021 Ecological Indicators.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1470-160Xen_UK
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