Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/60185
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dc.contributor.authorDuarte-Guardia, Sandraen
dc.contributor.authorPeri, Pabloen
dc.contributor.authorAmelung, Wulfen
dc.contributor.authorThomas, Everten
dc.contributor.authorBorchard, Nilsen
dc.contributor.authorBaldi, Germanen
dc.contributor.authorCowie, Annetteen
dc.contributor.authorLadd, Brentonen
dc.date.accessioned2024-05-29T03:49:46Z-
dc.date.available2024-05-29T03:49:46Z-
dc.date.issued2020-
dc.identifier.citationMitigation and Adaptation Strategies for Global Change, v.25, p. 1129-1148en
dc.identifier.issn1573-1596en
dc.identifier.issn1381-2386en
dc.identifier.urihttps://hdl.handle.net/1959.11/60185-
dc.description.abstract<p>Soil is the most important terrestrial carbon (C) reservoir but is greatly impacted by land use change (LUC). Previous analyses of LUC impacts on soil C have focused on biophysical variables, leaving aside the influence of socioeconomics. The aim of our study was to determine global soil organic carbon (SOC) change patterns after LUC and to assess the impacts of both biophysical and socioeconomic factors that influence stocks of SOC after LUC simultaneously. This was done at a global scale using 817 sites from 99 peer-reviewed publications. We performed separate analyses for cases in which there were gains and losses of SOC. The best predictors of SOC stock changes were the type of LUC and predictors related to sampling depth, climate, biome, soil order, relief, geology, years since LUC, and primary productivity. However, also, socioeconomic variables such as indices of poverty, population growth, and levels of corruption were important. They explained 33% of the variability in SOC on their own and helped improve model accuracy from 42 to 53% when considered in combination with biophysical variables. SOC losses were highly correlated to the type of LUC and social variables, while SOC gains correlated most strongly with years since LUC and the biophysical variables. The analyses confirm that one of the biggest drivers of SOC loss is conversion to agroindustrial scale cropping, whereas with regard to the recuperation of SOC after LUC, the factor "time since conversion" emerged as the most important predictive variable, which must be better integrated in respective policy expectations. We conclude that policies should more than ever incentivize holistic approaches that prevent additional loss of native SOC, while at the same time promoting sustainable intensification of existing agricultural regions. Finally future investments on LUC to regain SOC should be aligned with efforts to alleviate poverty and corruption for their potential to achieve mutual gains in soil fertility and socio-economic parameters.</p>en
dc.languageenen
dc.publisherSpringer Dordrechten
dc.relation.ispartofMitigation and Adaptation Strategies for Global Changeen
dc.titleBiophysical and socioeconomic factors influencing soil carbon stocks: a global assessmenten
dc.typeJournal Articleen
dc.identifier.doi10.1007/s11027-020-09926-1en
local.contributor.firstnameSandraen
local.contributor.firstnamePabloen
local.contributor.firstnameWulfen
local.contributor.firstnameEverten
local.contributor.firstnameNilsen
local.contributor.firstnameGermanen
local.contributor.firstnameAnnetteen
local.contributor.firstnameBrentonen
local.profile.schoolSchool of Environmental and Rural Scienceen
local.profile.emailacowie4@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.publisher.placeThe Netherlandsen
local.format.startpage1129en
local.format.endpage1148en
local.peerreviewedYesen
local.identifier.volume25en
local.title.subtitlea global assessmenten
local.contributor.lastnameDuarte-Guardiaen
local.contributor.lastnamePerien
local.contributor.lastnameAmelungen
local.contributor.lastnameThomasen
local.contributor.lastnameBorcharden
local.contributor.lastnameBaldien
local.contributor.lastnameCowieen
local.contributor.lastnameLadden
dc.identifier.staffune-id:acowie4en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
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local.identifier.unepublicationidune:1959.11/60185en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleBiophysical and socioeconomic factors influencing soil carbon stocksen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorDuarte-Guardia, Sandraen
local.search.authorPeri, Pabloen
local.search.authorAmelung, Wulfen
local.search.authorThomas, Everten
local.search.authorBorchard, Nilsen
local.search.authorBaldi, Germanen
local.search.authorCowie, Annetteen
local.search.authorLadd, Brentonen
local.uneassociationYesen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2020en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/21134785-df19-4272-b18a-a3ebeb1f095den
local.subject.for20204101 Climate change impacts and adaptationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeUNE Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.date.moved2024-05-29en
Appears in Collections:Journal Article
School of Environmental and Rural Science
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