Nóbrega, Rodolfo Luiz Bezerra

[["dc.bibliographiccitation.firstpage","3"],["dc.bibliographiccitation.lastpage","7"],["dc.bibliographiccitation.volume","377"],["dc.contributor.author","Nóbrega, Rodolfo Luiz Bezerra"],["dc.contributor.author","Lamparter, Gabriele"],["dc.contributor.author","Hughes, Harold"],["dc.contributor.author","Guzha, Alphonce Chenjerayi"],["dc.contributor.author","Amorim, Ricardo Santos Silva"],["dc.contributor.author","Gerold, Gerhard"],["dc.contributor.editor","Mahe, G."],["dc.contributor.editor","Heal, K."],["dc.contributor.editor","Gupta, A. B."],["dc.contributor.editor","Aksoy, H."],["dc.date.accessioned","2020-12-10T18:47:54Z"],["dc.date.available","2020-12-10T18:47:54Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.5194/piahs-377-3-2018"],["dc.identifier.eissn","2199-899X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78940"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.conference","IAHS Scientific Assembly 2017"],["dc.relation.eventend","2017-07-14"],["dc.relation.eventlocation","Port Elizabeth, South Africa"],["dc.relation.eventstart","2017-07-10"],["dc.relation.ispartof","Water quality and sediment transport issues in surface water"],["dc.title","A multi-approach and multi-scale study on water quantity and quality changes in the Tapajós River basin, Amazon"],["dc.type","conference_paper"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","91"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Regional Environmental Change"],["dc.bibliographiccitation.lastpage","103"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Lamparter, Gabriele"],["dc.contributor.author","Nobrega, Rodolfo Luiz Bezerra"],["dc.contributor.author","Kovacs, Kristof"],["dc.contributor.author","Amorim, Ricardo Santos"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2020-12-10T14:11:11Z"],["dc.date.available","2020-12-10T14:11:11Z"],["dc.date.issued","2016"],["dc.identifier.doi","10.1007/s10113-016-1015-2"],["dc.identifier.eissn","1436-378X"],["dc.identifier.issn","1436-3798"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/70992"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Modelling hydrological impacts of agricultural expansion in two macro-catchments in Southern Amazonia, Brazil"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Cunha, John Elton Brito Leite"],["dc.contributor.author","Nóbrega, Rodolfo Luiz Bezerra"],["dc.contributor.author","Rufino, Iana Alexandra Alves"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","de Oliveira Galvão, Carlos"],["dc.contributor.author","Valente, Fernanda"],["dc.date.accessioned","2020-05-12T08:31:10Z"],["dc.date.available","2020-05-12T08:31:10Z"],["dc.date.issued","2019"],["dc.description.abstract","Ongoing increase in human and climate pressures, in addition to the lack of monitoring initiatives, makes the Caatinga one of the most vulnerable forests in the world. The Caatinga is located in the semi-arid region of Brazil and its vegetation phenology is highly dependent on precipitation, which has a high spatial and temporal variability. Under these circumstances, satellite image-based methods are valued due to their ability to uncover human-induced changes from climate effects on land cover. In this study, a time series stack of 670 Landsat images over a period of 31 years (1985–2015) was used to investigate spatial and temporal patterns of land-cover clearing (LCC) due to vegetation removal in an area of the Caatinga. We compared the LCC detection accuracy of three spectral indices, i.e., the surface albedo (SA), the Enhanced Vegetation Index (EVI) and the Normalized Difference Vegetation Index (NDVI). We applied a residual trend analysis (TSS-RESTREND) to attenuate seasonal climate effects on the vegetation time series signal and to detect only significant structural changes (breakpoints) from monthly Landsat time series. Our results show that SA was able to identify the general occurrence of LCC and the year that it occurred with a higher accuracy (89 and 62%, respectively) compared to EVI (44 and 22%) and NDVI (46 and 22%). The overall outcome of the study shows the benefits of using Landsat time series and a spectral index that incorporates the short-wave infrared range, such as the SA, compared to visible and near-infrared vegetation indices for monitoring LCC in seasonally dry forests such as the Caatinga."],["dc.format.extent","44"],["dc.identifier.doi","10.31223/osf.io/zjd58"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65132"],["dc.language.iso","en"],["dc.title","Surface albedo as a proxy for land-cover clearing in seasonally dry forests: evidence from the Brazilian Caatinga"],["dc.type","preprint"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e0179414"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","PLoS ONE"],["dc.bibliographiccitation.volume","12"],["dc.contributor.author","Nobrega, Rodolfo L. B."],["dc.contributor.author","Guzha, Alphonce C."],["dc.contributor.author","Torres, Gilmar N."],["dc.contributor.author","Kovacs, Kristof"],["dc.contributor.author","Lamparter, Gabriele"],["dc.contributor.author","Amorim, Ricardo S. S."],["dc.contributor.author","Couto, Eduardo"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2018-11-07T10:22:43Z"],["dc.date.available","2018-11-07T10:22:43Z"],["dc.date.issued","2017"],["dc.description.abstract","Understanding the impacts of land-use change on landscape-hydrological dynamics is one of the main challenges in the Northern Brazilian Cerrado biome, where the Amazon agricultural frontier is located. Motivated by the gap in literature assessing these impacts, we characterized the soil hydro-physical properties and quantified surface water fluxes from catchments under contrasting land-use in this region. We used data from field measurements in two headwater micro-catchments with similar physical characteristics and different land use, i.e. cerrado sensu stricto vegetation and pasture for extensive cattle ranching. We determined hydraulic and physical properties of the soils, applied ground-based remote sensing techniques to estimate evapotranspiration, and monitored streamflow from October 2012 to September 2014. Our results show significant differences in soil hydro-physical properties between the catchments, with greater bulk density and smaller total porosity in the pasture catchment. We found that evapotranspiration is smaller in the pasture ( 639 +/- 31% mm yr(-1)) than in the cerrado catchment ( 1,004 +/- 24% mm yr(-1)), and that streamflow from the pasture catchment is greater with runoff coefficients of 0.40 for the pasture and 0.27 for the cerrado catchment. Overall, our results confirm that conversion of cerrado vegetation to pasture causes soil hydro-physical properties deterioration, reduction in evapotranspiration reduction, and increased streamflow."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2017"],["dc.identifier.doi","10.1371/journal.pone.0179414"],["dc.identifier.isi","000403274700035"],["dc.identifier.pmid","28609462"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14556"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/42326"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Public Library Science"],["dc.relation.issn","1932-6203"],["dc.relation.orgunit","Fakultät für Geowissenschaften und Geographie"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","Effects of conversion of native cerrado vegetation to pasture on soil hydro-physical properties, evapotranspiration and streamflow on the Amazonian agricultural frontier"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","241"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Erdkunde"],["dc.bibliographiccitation.lastpage","266"],["dc.bibliographiccitation.volume","71"],["dc.contributor.author","Meister, Sarina"],["dc.contributor.author","Nobrega, Rodolfo L. B."],["dc.contributor.author","Rieger, Wolfgang"],["dc.contributor.author","Wolf, Ronja"],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2020-12-10T18:43:57Z"],["dc.date.available","2020-12-10T18:43:57Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.3112/erdkunde.2017.03.06"],["dc.identifier.issn","0014-0015"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78277"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Process-based modelling of the impacts of land use change on the water balance in the Cerrado Biome (Rio das Mortes, Brazil)"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","508"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Hydrological Processes"],["dc.bibliographiccitation.lastpage","521"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Guzha, Alphonce C."],["dc.contributor.author","Nobrega, Rodolfo L. B."],["dc.contributor.author","Kovacs, Kristof"],["dc.contributor.author","Rebola-Lichtenberg, Jessica"],["dc.contributor.author","Amorim, Ricardo S. S."],["dc.contributor.author","Gerold, Gerhard"],["dc.date.accessioned","2018-11-07T10:00:55Z"],["dc.date.available","2018-11-07T10:00:55Z"],["dc.date.issued","2015"],["dc.description.abstract","On the basis of interactions between landscape characteristics and precipitation inputs, watersheds respond differently to different climatic inputs. The objective of this study was to quantitatively characterize controls on runoff generation from two first order micro-catchments in the Amazonia region. The study investigated the variation of hydrological signatures at micro-catchment scale and related these to landscape and land cover differences and weather descriptors that control the observed responses. One catchment is a pasture cleared of all natural vegetation in the early 1980s, and the second catchment is a primary tropical forest with minor signs of disturbance. Water levels and meteorological variables were continuously monitored during the study period (December 2012-May 2013). Water level measurements were converted to discharge, evapotranspiration was quantified using Penman-Monteith equation and catchment pedohydrological properties were also determined. During the study period, mean total rainfall was 1200mm, and direct runoff ratios were 0.29 and 0.12 for the pasture and forest catchments, respectively. Base flow index was relatively high in the forest catchment (0.76) compared with pasture catchment (0.63). Results from this study showed that the pasture catchment had a 35% higher mean stream flow. Analysis of selected individual rainstorm events also showed peak discharges, which were attained much faster in the pasture catchment compared with the forest catchment. At both sites, rainfall-runoff responses were highly dependent on surface and subsurface flow generation. Overland flow was observed in the pasture site during intense rainfall events. The pasture catchment exhibited higher event water contribution than the forest catchment. Findings from this research suggest that shallow lateral pathways play a significant role in controlling runoff generation processes in the forest catchment, whereas infiltration excess runoff generation processes dominate in the pasture catchment. The findings in this study suggest that the conversion of forest to pasture may lead to important changes in runoff generation processes and water storage in these head water catchments. Copyright (c) 2014 John Wiley & Sons, Ltd."],["dc.identifier.doi","10.1002/hyp.10161"],["dc.identifier.isi","000347848900003"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/37909"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.publisher","Wiley-blackwell"],["dc.relation.issn","1099-1085"],["dc.relation.issn","0885-6087"],["dc.title","Characterizing rainfall-runoff signatures from micro-catchments with contrasting land cover characteristics in southern Amazonia"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","111250"],["dc.bibliographiccitation.journal","Remote Sensing of Environment"],["dc.bibliographiccitation.volume","238"],["dc.contributor.author","Cunha, John"],["dc.contributor.author","Nobrega, R. L. B."],["dc.contributor.author","Rufino, Iana"],["dc.contributor.author","Erasmi, Stefan"],["dc.contributor.author","Galvão, Carlos"],["dc.contributor.author","Valente, Fernanda"],["dc.date.accessioned","2020-05-11T13:14:53Z"],["dc.date.available","2020-05-11T13:14:53Z"],["dc.date.issued","2019"],["dc.description.abstract","Ongoing increase in human and climate pressures, in addition to the lack of monitoring initiatives, makes the Caatinga one of the most vulnerable forests in the world. The Caatinga is located in the semi-arid region of Brazil and its vegetation phenology is highly dependent on precipitation, which has a high spatial and temporal variability. Under these circumstances, satellite image-based methods are valued due to their ability to uncover human-induced changes from climate effects on land cover. In this study, a time series stack of 670 Landsat images over a period of 31 years (1985–2015) was used to investigate spatial and temporal patterns of land-cover clearing (LCC) due to vegetation removal in an area of the Caatinga. We compared the LCC detection accuracy of three spectral indices, i.e., the surface albedo (SA), the Enhanced Vegetation Index (EVI) and the Normalized Difference Vegetation Index (NDVI). We applied a residual trend analysis (TSS-RESTREND) to attenuate seasonal climate effects on the vegetation time series signal and to detect only significant structural changes (breakpoints) from monthly Landsat time series. Our results show that SA was able to identify the general occurrence of LCC and the year that it occurred with a higher accuracy (89 and 62%, respectively) compared to EVI (44 and 22%) and NDVI (46 and 22%). The overall outcome of the study shows the benefits of using Landsat time series and a spectral index that incorporates the short-wave infrared range, such as the SA, compared to visible and near-infrared vegetation indices for monitoring LCC in seasonally dry forests such as the Caatinga."],["dc.identifier.doi","10.1016/j.rse.2019.111250"],["dc.identifier.scopus","2-s2.0-85067362350"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/65004"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-85067362350&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.relation.issn","0034-4257"],["dc.title","Surface albedo as a proxy for land-cover clearing in seasonally dry forests: Evidence from the Brazilian Caatinga"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]