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Spatial–Temporal Dynamics of Land Use and Cover in Mata da Pimenteira State Park Based on MapBiomas Brasil Data: Perspectives and Social Impacts

dc.contributor.authorCruz, Júlio Cesar Gomes da
dc.contributor.authorJardim, Alexandre Maniçoba da Rosa Ferraz [UNESP]
dc.contributor.authorSilva, Anderson Santos da
dc.contributor.authorSilva, Marcos Vinícius da
dc.contributor.authorSilva, Jhon Lennon Bezerra da
dc.contributor.authorMarques, Rodrigo Ferraz Jardim
dc.contributor.authorAlba, Elisiane
dc.contributor.authorNascimento, Antônio Henrique Cardoso do
dc.contributor.authorSilva, Araci Farias
dc.contributor.authorSilva, Elania Freire da
dc.contributor.authorCézar Bezerra, Alan
dc.contributor.institutionFederal Rural University of Pernambuco
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFederal University of Agreste of Pernambuco
dc.contributor.institutionFederal University of Campina Grande
dc.contributor.institutionGoiano Federal Institute—Campus Ceres
dc.contributor.institutionState Environmental Agency (CPRH)
dc.contributor.institutionFederal Rural University of the Semi-Arid
dc.date.accessioned2025-04-29T20:15:15Z
dc.date.issued2024-09-01
dc.description.abstractCaatinga is a typical Brazilian biome facing severe threats despite its ecological and socio-economic importance. Conservation strategies are essential in protecting ecosystems and ensuring natural resource sustainability. Mata da Pimenteira State Park (PEMP), launched in 2012, is an example of such a strategy. The current study aims to use orbital remote sensing techniques to assess human impacts on changes in land use and land cover (LULC) after the establishment of PEMP in the semi-arid region known as Caatinga, in Pernambuco State. The effects of this unit on vegetation preservation were specifically analyzed based on using data from the MapBiomas Brasil project to assess trends in LULC, both in and around PEMP, from 2002 to 2020. Man–Kendall and Pettitt statistical tests were applied to identify significant changes, such as converting forest areas into pastures and agricultural plantations. Trends of the loss and gain of LULC were observed over the years, such as forest areas’ conversion into pasture and vice versa, mainly before and after PEMP implementation. These findings highlight the importance of developing conservation measures and planning to help protecting the Caatinga, which is a vital biome in Brazil.en
dc.description.affiliationAcademic Unit of Serra Talhada Federal Rural University of Pernambuco, Serra Talhada
dc.description.affiliationDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo
dc.description.affiliationDepartment of Agronomy Federal University of Agreste of Pernambuco, Pernambuco
dc.description.affiliationDepartment of Forest Sciences Federal University of Campina Grande, Paraíba
dc.description.affiliationCerrado Irrigation Graduate Program Goiano Federal Institute—Campus Ceres, GO-154, km 218—Zona Rural, Goiás
dc.description.affiliationState Environmental Agency (CPRH), Pernambuco
dc.description.affiliationDepartment of Agricultural and Forestry Sciences Federal Rural University of the Semi-Arid, Rio Grande do Norte
dc.description.affiliationUnespDepartment of Biodiversity Institute of Biosciences São Paulo State University—UNESP, São Paulo
dc.format.extent3327-3344
dc.identifierhttp://dx.doi.org/10.3390/agriengineering6030190
dc.identifier.citationAgriEngineering, v. 6, n. 3, p. 3327-3344, 2024.
dc.identifier.doi10.3390/agriengineering6030190
dc.identifier.issn2624-7402
dc.identifier.scopus2-s2.0-85205127001
dc.identifier.urihttps://hdl.handle.net/11449/309379
dc.language.isoeng
dc.relation.ispartofAgriEngineering
dc.sourceScopus
dc.subjectCaatinga biome
dc.subjectconservation units
dc.subjectenvironmental degradation
dc.subjectland use trends
dc.subjectorbital remote sensing
dc.subjectsemi-arid northeastern Brazil
dc.titleSpatial–Temporal Dynamics of Land Use and Cover in Mata da Pimenteira State Park Based on MapBiomas Brasil Data: Perspectives and Social Impactsen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0000-0001-7094-3635[2]
unesp.author.orcid0000-0002-2229-501X[3]
unesp.author.orcid0000-0002-1318-2320[4]
unesp.author.orcid0000-0002-2611-4036[5]
unesp.author.orcid0000-0002-1691-8989[8]
unesp.author.orcid0000-0002-4377-2209[9]
unesp.author.orcid0000-0002-9986-9464[11]

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