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Publicação:
Land capability of multiple-landform watersheds with environmental land use conflicts

dc.contributor.authorAraujo Costa, Renata Cristina [UNESP]
dc.contributor.authorPereira, Gener Tadeu [UNESP]
dc.contributor.authorTarle Pissarra, Teresa Cristina [UNESP]
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.authorSanches Fernandes, Luis Filipe
dc.contributor.authorVasconcelos, Vinicius
dc.contributor.authorFernandes, Luiz Alberto
dc.contributor.authorLeal Pacheco, Fernando Antonio
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Tras Os Montes & Alto Douro
dc.contributor.institutionUniversidade de Brasília (UnB)
dc.contributor.institutionUniv Fed Parana
dc.date.accessioned2019-10-04T12:35:14Z
dc.date.available2019-10-04T12:35:14Z
dc.date.issued2019-02-01
dc.description.abstractThis study introduces an improved method to assess land capability in the rural environment. Land capability, also defined as natural use, is a powerfull asset in land use planning and development of land use policies, because actual land uses that deviate from natural counterparts trigger extensive and severe environmental impacts, namely amplified soil erosion and fertility decline. The proposed method builds up on a previous model based on the ruggedness number (RN), which allocates natural uses as function of increasing terrain slope and drainage density. According to the RN model, agriculture should occupy the areas of low slope and sparse drainage density, while the forest is reserved for the areas of steep slope and dense drainage. Other activities such as pasture or pasture mixed with forest can be settled on the areas of intermediate slope and drainage density. The modeling improvements introduced with this study are in a first stage related to the combination of RN-based capability classes with dissection classes derived from slope curvature estimates and landform classification (convex, concave and straight srufaces). In a second stage, the modeling improvements are related to validation of RN and landform classification schmes in the field through comparison of soil magnectic susceptibility data across the RN-dissection classes. The improved model was tested in a large multiple-landform watershed: the Tiete River basin located in Sao Paulo State (Brazil). The results proved the need to refine the RN land capability classes using the dissection classes, because dissection patterns are different across lithologic types and weather trends. In the Tiete, landscapes are generally more dissected when shaped in basaltic bedrock than in sandsone cover, and increase with increasing annual rainfall. The implications for land use planning are evident because high dissected lanscapes require more exigent conservation measures than low dissected landscapes, while suitable crop types may also vary between the two environments. The field validation of capability-dissection classes using the magnetic susceptibility proved efficient in a large portion of cases, but failed in several other sub-basins. A main reason for the failure was inadequate land use, interpreted as environmental land use conflict in this study. Overall, the current study can be viewed as major advance in the development of a land capability classification, because the integration of relief (RN), landform (dissection) and soil properties (magnetic susceptibility) has not been tempted before. The gains for land use policy are apparent because land capability maps are fundamental instruments in the management of rural areas, namely to help the mitigation of a major global concern nowadays, which is land degradation.en
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Jaboticabal, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, Brazil
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Res Grp CSME Soil Characterizat Specif Management, Jaboticabal, SP, Brazil
dc.description.affiliationUniv Tras Os Montes & Alto Douro, CITAB, Ap 1013, P-5001801 Vila Real, Portugal
dc.description.affiliationUniv Brasilia, Inst Ciencias Biol, Dept Ecol, Brasilia, DF, Brazil
dc.description.affiliationUniv Fed Parana, Programa Posgrad Geol, Curitiba, Parana, Brazil
dc.description.affiliationUniv Tras Os Montes & Alto Douro, CQVR, Ap 1013, P-5001801 Vila Real, Portugal
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Ciencias Exatas, Jaboticabal, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Engn Rural, Jaboticabal, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias Agr & Vet, Dept Solos & Adubos, Res Grp CSME Soil Characterizat Specif Management, Jaboticabal, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipPROPE/UNESP (Pro-reitora de Pesquisa da Universidade Estadual Paulista)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFEDER/COMPETE/POCI- Operational Competitiveness and Internationalization Programme
dc.description.sponsorshipFCT Portuguese Foundation for Science and Technology
dc.description.sponsorshipIdFAPESP: 2016/19.215-5
dc.description.sponsorshipIdCAPES: 88881.135764/2016-01
dc.description.sponsorshipIdCAPES: 19/2016
dc.description.sponsorshipIdCAPES: 149940
dc.description.sponsorshipIdPROPE/UNESP (Pro-reitora de Pesquisa da Universidade Estadual Paulista): 15/2014
dc.description.sponsorshipIdCNPq: 402796/2016-0
dc.description.sponsorshipIdCNPq: 01/2016 - Faixa C
dc.description.sponsorshipIdFEDER/COMPETE/POCI- Operational Competitiveness and Internationalization Programme: POCI-01-0145-FEDER-006958
dc.description.sponsorshipIdFCT Portuguese Foundation for Science and Technology: UID/QUI/00616/2013
dc.description.sponsorshipIdFCT Portuguese Foundation for Science and Technology: UID/AGR/04033/2013
dc.format.extent689-704
dc.identifierhttp://dx.doi.org/10.1016/j.landusepol.2018.11.041
dc.identifier.citationLand Use Policy. Oxford: Elsevier Sci Ltd, v. 81, p. 689-704, 2019.
dc.identifier.doi10.1016/j.landusepol.2018.11.041
dc.identifier.issn0264-8377
dc.identifier.urihttp://hdl.handle.net/11449/185406
dc.identifier.wosWOS:000457820000064
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofLand Use Policy
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectSoil capability
dc.subjectLand use conflict
dc.subjectRuggedness number
dc.subjectDissection
dc.subjectMagnetic susceptibility
dc.subjectGeographic information system
dc.titleLand capability of multiple-landform watersheds with environmental land use conflictsen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.orcid0000-0002-3057-4115[2]
unesp.author.orcid0000-0002-9486-7160[5]
unesp.departmentCiências Exatas - FCAVpt
unesp.departmentEngenharia Rural - FCAVpt
unesp.departmentSolos e Adubos - FCAVpt

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