991 resultados para soil sampling intensity


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Pós-graduação em Agronomia (Ciência do Solo) - FCAV

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The planting of seedlings, the establishment and maintenance of the natural regeneration process, or the combination thereof, are methods used in the recovery of degraded or disturbed environments, however, often require the addition of soil conditioners. This study aimed to evaluate the influence of conditioners, introduced in degraded soil on growth and nutritional status of Astronium fraxinifolium seedlings. To conduct the experimentation were used as degraded soil conditioner, ash from sugarcane bagasse (CZ) and macrophytes (MC), at the doses of 0, 15, 30 and 45 t ha-1 and 0, 16 and 32 t ha-1 respectively, which combined produced 12 treatments, with three replications, and for field installation, was used the experimental randomized block design. Astronium fraxinifolium (Gonçalo Alves) seedlings, native tree species in cerrado, were introduced in the experimental area and, after 12 months, were evaluated for leaf concentration of nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, boron, copper, iron, manganese and zinc (N, P, K, Ca, Mg, S, B, Cu, Fe, Mn and Zn, respectively). Seedlings and adult plants of A. fraxinifolium were collected in preserved cerrado reserve were also analyzed for nutrients foliar concentration to perform a comparative analysis. The leaves collection in the preserved cerrado and experimental area, was accompanied by soil sampling (0.0 - 0,20 m deep), which was analyzed for phosphorus, OM (organic matter), pH, K, Ca, Mg, Al+H (potential acidity), Al (aluminum), Cu, Fe, Mn and Zn. The results show that the applied residues contributed to raise the foliar concentration of Cu and Fe. The foliar concentration of nutrients was higher in A. fraxinifolium seedlings from preserved cerrado, except for B, which was similar between areas, besides Cu and Fe with higher levels in the seedlings from experimental area. The combined addition of residues (MC and CZ), led to increase the plants height and diameter. This...

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Aim Estimates of geographic range size derived from natural history museum specimens are probably biased for many species. We aim to determine how bias in these estimates relates to range size. Location We conducted computer simulations based on herbarium specimen records from localities ranging from the southern United States to northern Argentina. Methods We used theory on the sampling distribution of the mean and variance to develop working hypotheses about how range size, defined as area of occupancy (AOO), was related to the inter-specific distribution of: (1) mean collection effort per area across the range of a species (MC); (2) variance in collection effort per area across the range of a species (VC); and (3) proportional bias in AOO estimates (PBias: the difference between the expected value of the estimate of AOO and true AOO, divided by true AOO). We tested predictions from these hypotheses using computer simulations based on a dataset of more than 29,000 herbarium specimen records documenting occurrences of 377 plant species in the tribe Bignonieae (Bignoniaceae). Results The working hypotheses predicted that the mean of the inter-specific distribution of MC, VC and PBias were independent of AOO, but that the respective variance and skewness decreased with increasing AOO. Computer simulations supported all but one prediction: the variance of the inter-specific distribution of VC did not decrease with increasing AOO. Main conclusions Our results suggest that, despite an invariant mean, the dispersion and symmetry of the inter-specific distribution of PBias decreases as AOO increases. As AOO increased, range size was less severely underestimated for a large proportion of simulated species. However, as AOO increased, range size estimates having extremely low bias were less common.

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La disminución del agua destinada al uso agrícola, la salinización de los acuíferos subterráneos y el advenimiento de la tecnología de Sistemas de Información Geográfica (SIG) han posibilitado conocer la calidad de los sitios, fundamentalmente los riesgos de salinización de los suelos del oasis del río Mendoza-Argentina. El presente trabajo se fundamenta en dos estudios anteriores: uno de relevantamiento de suelos y el otro de análisis de calidad de aguas subterráneas. En el primero se efectúo la actualización del relevantamiento de suelos del río Mendoza usando SIG. El muestreo de suelos y los análisis físicos (textura) y químicos (salinidad, conductividad eléctrica) se realizaron en 1974. Los lugares de muestreo y sus atributos, graficados como cobertura de puntos, se extrapolaron a sus zonas de influencia convirtiéndolos en polígonos y posteriormente se rasterizaron. El segundo trabajo fue la digitalización y georreferenciación, también al sistema de coordenadas Universal Transverse Mercator (UTM), de los mapas de las curvas de isosalinidad. La salinidad está medida por la conductividad eléctrica específica del agua subterránea de los tres niveles de explotación que existen en la cuenca norte de Mendoza. El monitoreo se realizó en el período 1990/1991. Las isolíneas, posteriormente, fueron rasterizadas. Con los procesos de superposición y tabulación cruzada de los SIG se integraron las diversas "capas" de datos de suelos y calidades de aguas subterráneas y se generaron mapas temáticos que expresan la clasificación y localización regional de calidades del sitio, basado fundamentalmente en los riesgos de salinización de los suelos.

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Este trabajo actualiza un relevamiento de suelos del área regada por el río Mendoza (Argentina) cuyo muestreo edáfico -el de mayor intensidad en la zona- y sus análisis se efectuaron en 1974. Con un Sistema de Información Geográfica (SIG) se obtuvo un mapa digital operativo que fijó los límites -o unidades cartográficas- de los suelos, conociendo la precisión de las cartografías realizadas. La información básica sobre el recurso suelo servirá de base para posteriores investigaciones; por ej. su eventual degradación por el recurso hídrico utilizado. Método para establecer las unidades cartográficas del suelo: a) Recuperación digital de 2 475 datos puntuales tabulados. La tabla suministró el identificador de los mismos (id.) y la textura y salinidad de dos capas: 0-25 y 50-80 cm. b) Transferencia cartográfica de los atributos edáficos de la tabla para vincular la cartografía con la base asociada de datos. c) Definición de las unidades cartográficas y la extensión de cada atributo mediante el método de interpolación de los polígonos de Thiessen. d) Limitación de la extensión de la interpolación a una distancia máxima de 178 m, 10 ha. e) Diseño de mapas temáticos definitivos con tabulaciones cruzadas. Dichos mapas, a escala de semi-detalle, fueron previstos para planificaciones y recomendaciones de uso a nivel regional, no parcelario.

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Soil sampling and analysis: Stratified soil sampling was performed in April 2008 to a depth of 30 cm. Three independent samples per plot were taken using a split tube sampler with an inner diameter of 4.8 cm (Eijkelkamp Agrisearch Equipment, Giesbeek, the Netherlands). Soil samples were segmented to a depth resolution of 5 cm in the field, giving six depth subsamples per core, and made into composite samples per depth. Sampling locations were less than 30 cm apart from sampling locations in other years. Samples were dried at 40°C. All soil samples were passed through a sieve with a mesh size of 2 mm. Because of much higher proportions of roots in the soil, the samples were further sieved to 1 mm according to common root removal methods. No additional mineral particles were removed by this procedure. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Soil sampling and analysis: Stratified soil sampling to a depth of 1m was performed before sowing in April 2002. Three independent samples per plot were taken of all plots in block 2 using a motor-driven soil column cylinder (Cobra, Eijkelkamp, 8.3 cm in diameter). Soil samples were dried at 40°C and segmented to a depth resolution of 5 cm giving 20 depth subsamples per core. All samples were analyzed independently. All soil samples were passed through a sieve with a mesh size of 2 mm. Rarely present visible plant remains were removed using tweezers. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Soil sampling and analysis: Stratified soil sampling was performed in April 2004 to a depth of 30 cm. Three independent samples per plot were taken using a split tube sampler with an inner diameter of 4.8 cm (Eijkelkamp Agrisearch Equipment, Giesbeek, the Netherlands). Soil samples were segmented to a depth resolution of 5 cm in the field, giving six depth subsamples per core, and made into composite samples per depth. Sampling locations were less than 30 cm apart from sampling locations in other years. Samples were dried at 40°C. All soil samples were passed through a sieve with a mesh size of 2 mm. Because of much higher proportions of roots in the soil, the samples were further sieved to 1 mm according to common root removal methods. No additional mineral particles were removed by this procedure. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Stratified soil sampling to a depth of 1m was repeated in April 2007 (as had been done before sowing in April 2002). Three independent samples per plot were taken of all plots in block 2 using a motor-driven soil column cylinder (Cobra, Eijkelkamp, 8.3 cm in diameter). Soil samples were dried at 40°C and segmented to a depth resolution of 5 cm giving 20 depth subsamples per core. All samples were analyzed independently. All soil samples were passed through a sieve with a mesh size of 2 mm. Because of much higher proportions of roots in the soil, the samples in 2007 were further sieved to 1 mm according to common root removal methods. No additional mineral particles were removed by this procedure. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Soil sampling and analysis: Stratified soil sampling was performed in April 2006 to a depth of 30 cm. Three independent samples per plot were taken using a split tube sampler with an inner diameter of 4.8 cm (Eijkelkamp Agrisearch Equipment, Giesbeek, the Netherlands). Soil samples were segmented to a depth resolution of 5 cm in the field, giving six depth subsamples per core, and made into composite samples per depth. Sampling locations were less than 30 cm apart from sampling locations in other years. Samples were dried at 40°C. All soil samples were passed through a sieve with a mesh size of 2 mm. Because of much higher proportions of roots in the soil, the samples were further sieved to 1 mm according to common root removal methods. No additional mineral particles were removed by this procedure. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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This data set contains measurements of total nitrogen from the main experiment plots of a large grassland biodiversity experiment (the Jena Experiment; see further details below). In the main experiment, 82 grassland plots of 20 x 20 m were established from a pool of 60 species belonging to four functional groups (grasses, legumes, tall and small herbs). In May 2002, varying numbers of plant species from this species pool were sown into the plots to create a gradient of plant species richness (1, 2, 4, 8, 16 and 60 species) and functional richness (1, 2, 3, 4 functional groups). Plots were maintained by bi-annual weeding and mowing. Soil sampling and analysis: Stratified soil sampling was performed before sowing in April 2002. Five independent samples per plot were taken using a split tube sampler with an inner diameter of 4.8 cm (Eijkelkamp Agrisearch Equipment, Giesbeek, the Netherlands). Soil samples were dried at 40°C and then segmented to a depth resolution of 5 cm giving six depth subsamples per core. All samples were analyzed independently and averaged values per depth layer are reported. Sampling locations were less than 30 cm apart from sampling locations in other years. Subsequently, samples were dried at 40°C. All soil samples were passed through a sieve with a mesh size of 2 mm. Rarely present visible plant remains were removed using tweezers. Total nitrogen concentration was analyzed on ball-milled subsamples (time 4 min, frequency 30 s-1) by an elemental analyzer at 1150°C (Elementaranalysator vario Max CN; Elementar Analysensysteme GmbH, Hanau, Germany).

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A atividade humana tem contribuído com as emissões de gases de efeito estufa (GEE) associadas, principalmente, com queima de combustíveis fósseis e mudanças no uso da terra. Assim, se faz necessário que sejam adotadas medidas visando o retardamento dos efeitos das mudanças climáticas. As florestas exercem papel essencial no balanço de carbono principalmente por funcionarem como sumidouros de CO2. Por outro lado, se desmatadas, promovem emissões e liberam parte do carbono estocado. A quantidade de biomassa florestal e o teor de carbono podem variar em função do tipo florestal, bem como de sua localização. Entretanto, fator importante diz respeito à confiabilidade dos dados mensurados neste tipo de pesquisa. A biomassa e o carbono da parte aérea podem ser determinados via método destrutivo, ou estimados via método não destrutivo. A construção do Rodoanel Mário Covas trecho norte e a supressão de uma área de Mata Atlântica possibilitou a realização de estudo de biomassa da parte aérea via método destrutivo. O objetivo deste trabalho foi estudar o tamanho e forma de parcelas, a intensidade amostral, quantificar a biomassa e o carbono na parte aérea, comparar métodos destrutivos e não destrutivos para a quantificação de biomassa e carbono na parte aérea, estudar a variação da densidade básica da madeira das espécies nas diferentes classes de DAP e grupos sucessionais e comparar as medidas de altura total e DAP obtidas a campo no inventário com as medidas coletadas após o corte. O tamanho mais conveniente de parcela foi 400 m 2, com forma retangular e dimensão de 10 x 40 m. A intensidade amostral variou entre 39 e 75 unidades amostrais. A biomassa da parte aérea obtida, via método destrutivo, foi de 188,3 Mg ha-1 e o carbono, 85,1 Mg ha-1. A biomassa estimada por equações alométricas da literatura foi subestimada, quando comparada ao valor real, obtido via método destrutivo. As menores classes de DAP apresentaram as maiores densidades básicas da madeira. A densidade básica foi 0,488 g cm-3 na média das espécies. A porcentagem de carbono contida nos troncos e galhos não diferiu entre as classes de DAP. O teor de carbono foi 45,41%, na média dos troncos e galhos. Espécies pioneiras acumularam maior quantidade de biomassa e carbono nos galhos e apresentaram maior densidade básica que as não pioneiras. A utilização dos dados coletados na fase de inventário e após o corte não afetaram os valores de biomassa estimados.

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Por se tratar de um elemento essencial às plantas e um metal pesado ao mesmo tempo, o níquel requer atenção quanto aos aspectos da fisiologia de plantas e ambiental. Além disso, existe um intervalo estreito entre as exigências nutricionais e os teores tóxicos às plantas. Neste contexto, objetivou-se avaliar o efeito do Ni no sistema solo-planta, com foco no ciclo do N e a disponibilidade do elemento no solo, por meio de experimento em condições controladas, utilizando vasos distribuídos inteiramente ao acaso, utilizando-se esquema fatorial 2 x 5, com sete repetições cada tratamento. O primeiro fator foi constituído de duas saturações por base (50 e 70%) e o segundo de cinco doses de Ni (0; 0,1; 0,5; 1,0 e 10,0 mg dm-3 de solo). Os vasos foram preenchidos com 8 dm3 de terra e cultivados com soja [Glycine max (L.) Merrill] sucedida por girassol (Helianthus annuus L.). Os parâmetros qualitativos e quantitativos: altura de plantas (AP), diâmetro do caule (DC), número de nós (NN), estádio fenológico (EF), índice SPAD e, diâmetro do capítulo (DCap) (para girassol) foram avaliadas aos 30 e 60 dias após a emergência (d.a.e.) de cada cultivo. Plantas inteiras de soja, amostradas em quatro vasos de cada tratamento, foram coletadas no estádio R1. Na mesma ocasião foram coletadas amostras de solo da rizosfera. Em seguida, as plantas coletadas foram divididas em: folhas; raízes (nódulos na soja) e parte aérea. Foram determinados nas folhas utilizadas para diagnose em soja e girassol: os teores de macro e micronutrientes, as atividades da redutase do nitrato e da urease e as concentrações dos ácidos orgânicos: oxálico, malônico, succínico, málico, tartárico, fumárico, oxaloacético, cítrico e lático. Os mesmos ácidos orgânicos foram determinados em raízes secundárias de girassol e nódulos de soja. Foram realizadas avaliações ultraestruturais por meio de microscopia eletrônica de transmissão (MET) em raízes de girassol, e estruturais e de tonalidade em nódulos de soja, por meio de microscopia de luz. No solo, foram determinadas: atividade urease, desidrogenase, Ni total e fitodisponível pelos métodos: Mehlich-1, Mehlich-3 e DTPA. No período de maturidade fisiológica de cada cultura foi realizada a colheita das plantas dos vasos restantes para determinação de produção de grãos, teores de Ni na planta inteira e Ni e N nos grãos. Ao final dos dois experimentos foi realizada nova coleta de solo para extração sequencial de Ni. O índice SPAD em soja aos 60 d.a.e., a produção de massa seca da parte aérea da soja e da raiz de girassol foram influenciados pela saturação por bases, doses de níquel e pela a interação destes. Foram influenciados pelas saturações por base e doses de níquel (fatores isolados): para soja: AP aos 60 d.a.e., NN aos 30 e 60 d.a.e., SPAD aos 30 d.a.e.; para girassol: AP e NN aos 30 e 60 d.a.e., DC e SPAD aos 30 d.a.e. As demais variáveis avaliadas aos 30 e 60 d.a.e. foram influenciadas apenas pela saturação por bases, ou doses de Ni separadamente. As plantas de soja e girassol apresentaram maiores teores de Ni nos diferentes tecidos avaliados (exceto grãos) quando cultivadas sob V50%. A produção de grãos de soja e girassol não foi influenciada pelos tratamentos, porém o teor de N dos grãos de soja influenciado pelas doses de Ni na V70%. A atividade da enzima urease nas folhas de soja e girassol foi responsiva positivamente ao aumento das doses de Ni. Quatro dos ácidos orgânicos avaliados e o teor de N nas folhas e nos grãos foram maiores nas plantas cultivadas sob V70% com a dose de 0,5 mg dm-3 de Ni. As doses de Ni bem com as saturações por bases influenciaram diretamente o balanço de nutrientes das plantas. Os extratores Mehlich-1, Mehlich-3 e DTPA apresentaram elevado coefienciente de correlação entre a fração de Ni disponível no solo e a concentração do elemento nas plantas de soja e girassol, sendo o extrator DTPA o que apresentou maior coeficiente de correlação. O Ni apresentou distribuição variável entre as diferentes frações do solo em função dos tratamentos. Os solos dos tratamentos com saturação por bases de 70% apresentaram maior concentração de Ni ligado a carbonato, comparado aos tratamentos sob saturação por bases de 50%. A distribuição do Ni entre as frações do solo seguiu a seguinte orgem: ligado a carbonato < trocável < ligado a óxidos < matéria orgânica < residual. A saturação por bases exerceu efeito diferenciado para a atividade da urease no solo em função da cultura avaliada. Por sua vez, o Ni exerceu efeito diferenciado sobre a atividade de desidrogenase em função da cultura estudada

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The purpose of the study was to evaluate the magnitude of environmental lead contamination in the downtown area of Miami. Lead inspections took place at 121 homes in Little Haiti and Liberty City and involved the collection ofrepresentative samples from floors, window wells, tap water, soil and air. Community health workers (CHWs) trained in interview and safety techniques went from door to door to enlist participation. On-site investigations were tailored to areas most utilized by children underthe age of6 years. The presence of lead-containing paint was also investigated in situ via X-ray fluorescence (XRF) analysis. Results: Of the sampling areas, the window wells area had the most abundant occurrence of lead. On analysis, 24% of sites returned window well samples with lead levels above Department of Housing and Urban Development (HUD) guidelines. Of the soil samples, the playgrounds around the house had the highest concentration of lead. Soil sampling demonstrated that 27.5% of sites returned samples with lead levels (400 to 1600 ppm) inexcess of HUD/Environmental Protection Agency (EPA) standards. Positive XRF readings in one or more components were returned by 18% of sites. Conclusions: More than half of the houses in these two neighborhoods exhibited unacceptably high levels of lead dust and soil in areas where children live and play. Limitations of this study did not allow the assessment of how many children in this area are affected. A more comprehensive study including other areas of Miami-Dade County with older housing stock is recommended.

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Mineral and chemical composition of alluvial Upper-Pleistocene deposits from the Alto Guadalquivir Basin (SE Spain) were studied as a tool to identify sedimentary and geomorphological processes controlling its formation. Sediments located upstream, in the north-eastern sector of the basin, are rich in dolomite, illite, MgO and KB2BO. Downstream, sediments at the sequence base are enriched in calcite, smectite and CaO, whereas the upper sediments have similar features to those from upstream. Elevated rare-earth elements (REE) values can be related to low carbonate content in the sediments and the increase of silicate material produced and concentrated during soil formation processes in the neighbouring source areas. Two mineralogical and geochemical signatures related to different sediment source areas were identified. Basal levels were deposited during a predominantly erosive initial stage, and are mainly composed of calcite and smectite materials enriched in REE coming from Neogene marls and limestones. Then the deposition of the upper levels of the alluvial sequences, made of dolomite and illitic materials depleted in REE coming from the surrounding Sierra de Cazorla area took place during a less erosive later stage of the fluvial system. Such modification was responsible of the change in the mineralogical and geochemical composition of the alluvial sediments.