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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
16/11/2012 |
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Data da última atualização: |
16/11/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MATOS, E. da S.; FREESE, D.; Böhm, C.; QUINKENSTEIN, A.; HUTTL, R. F. |
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Afiliação: |
EDUARDO DA SILVA MATOS, CPAMT. |
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Título: |
Organic matter dynamics in reclaimed lignite mine soils under Robinia pseudoacacia L. plantations of different ages in Germany |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Communications in Soil Science and Plant Analysis, v. 43, n. 5, p. 745-755, 2012. |
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Volume: |
43 |
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Páginas: |
745-755 |
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ISSN: |
0010-3624 |
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Idioma: |
Português |
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Conteúdo: |
In temperate regions, cultivation of Robinia pseudoacacia L. has recently received considerable attention because it is a fast-growing species for biomass and bioenergy production, while acting as a potential carbon (C) sink to counterbalance carbon dioxide (CO2) emissions and an alternative to agricultural crops on marginal sites. The objective of our work was to compare total organic carbon (TOC), total nitrogen (TN), and organic C fractions in postlignite mining soils under different development stages of R. pseudoacacia. Soil samples from three different depths (0?3, 3?10 and 10?30 cm) were taken in plantations 2, 3, 4, and 14 years old (R2, R3, R4, and R14, respectively). The TOC and TN contents increased with increasing tree age in all layers (P < 0.01). In the top 30 cm, TOC and TN stocks ranged from 11.7 to 59.8 Mg C ha?1 and from 0.30 to 2.61 Mg N ha?1 at R2 and R14, respectively. The rate of C sequestration was calculated to be 4.0 Mg C ha?1 year?1. Microbial biomass C and N were strongly correlated to TOC (r2 = 0.96 ? 0.81; P < 0.001) and TN contents (r2 = 0.92 ? 0.91; P < 0.001). The light fraction C (CLF) accounted for 15?30% and the heavy fraction C for 70% of TOC in all layers. In the 0- to 3-cm layer, CLF increased by 0.5 g kg?1 year?1. The results indicate that plantations of R. pseudoacacia are an attractive alternative to increase soil C contents in reclaimed lignite mining soils. In the short term, microbial biomass C and light fraction C are sensitive and provide an appropriate measure to assess soil C changes caused by cultivation of R. pseudoacacia. MenosIn temperate regions, cultivation of Robinia pseudoacacia L. has recently received considerable attention because it is a fast-growing species for biomass and bioenergy production, while acting as a potential carbon (C) sink to counterbalance carbon dioxide (CO2) emissions and an alternative to agricultural crops on marginal sites. The objective of our work was to compare total organic carbon (TOC), total nitrogen (TN), and organic C fractions in postlignite mining soils under different development stages of R. pseudoacacia. Soil samples from three different depths (0?3, 3?10 and 10?30 cm) were taken in plantations 2, 3, 4, and 14 years old (R2, R3, R4, and R14, respectively). The TOC and TN contents increased with increasing tree age in all layers (P < 0.01). In the top 30 cm, TOC and TN stocks ranged from 11.7 to 59.8 Mg C ha?1 and from 0.30 to 2.61 Mg N ha?1 at R2 and R14, respectively. The rate of C sequestration was calculated to be 4.0 Mg C ha?1 year?1. Microbial biomass C and N were strongly correlated to TOC (r2 = 0.96 ? 0.81; P < 0.001) and TN contents (r2 = 0.92 ? 0.91; P < 0.001). The light fraction C (CLF) accounted for 15?30% and the heavy fraction C for 70% of TOC in all layers. In the 0- to 3-cm layer, CLF increased by 0.5 g kg?1 year?1. The results indicate that plantations of R. pseudoacacia are an attractive alternative to increase soil C contents in reclaimed lignite mining soils. In the short term, microbial biomass C and light fraction C are sensitive an... Mostrar Tudo |
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Palavras-Chave: |
Rotation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02272naa a2200217 a 4500
001 1939795
005 2012-11-16
008 2012 bl uuuu u00u1 u #d
022 $a0010-3624
100 1 $aMATOS, E. da S.
245 $aOrganic matter dynamics in reclaimed lignite mine soils under Robinia pseudoacacia L. plantations of different ages in Germany$h[electronic resource]
260 $c2012
300 $a745-755 43
490 $v43
520 $aIn temperate regions, cultivation of Robinia pseudoacacia L. has recently received considerable attention because it is a fast-growing species for biomass and bioenergy production, while acting as a potential carbon (C) sink to counterbalance carbon dioxide (CO2) emissions and an alternative to agricultural crops on marginal sites. The objective of our work was to compare total organic carbon (TOC), total nitrogen (TN), and organic C fractions in postlignite mining soils under different development stages of R. pseudoacacia. Soil samples from three different depths (0?3, 3?10 and 10?30 cm) were taken in plantations 2, 3, 4, and 14 years old (R2, R3, R4, and R14, respectively). The TOC and TN contents increased with increasing tree age in all layers (P < 0.01). In the top 30 cm, TOC and TN stocks ranged from 11.7 to 59.8 Mg C ha?1 and from 0.30 to 2.61 Mg N ha?1 at R2 and R14, respectively. The rate of C sequestration was calculated to be 4.0 Mg C ha?1 year?1. Microbial biomass C and N were strongly correlated to TOC (r2 = 0.96 ? 0.81; P < 0.001) and TN contents (r2 = 0.92 ? 0.91; P < 0.001). The light fraction C (CLF) accounted for 15?30% and the heavy fraction C for 70% of TOC in all layers. In the 0- to 3-cm layer, CLF increased by 0.5 g kg?1 year?1. The results indicate that plantations of R. pseudoacacia are an attractive alternative to increase soil C contents in reclaimed lignite mining soils. In the short term, microbial biomass C and light fraction C are sensitive and provide an appropriate measure to assess soil C changes caused by cultivation of R. pseudoacacia.
653 $aRotation
700 1 $aFREESE, D.
700 1 $aBöhm, C.
700 1 $aQUINKENSTEIN, A.
700 1 $aHUTTL, R. F.
773 $tCommunications in Soil Science and Plant Analysis$gv. 43, n. 5, p. 745-755, 2012.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
12/02/2015 |
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Data da última atualização: |
12/02/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
CARVALHO JÚNIOR, O. A. de; GUIMARÃES, R. F.; MONTGOMERY, D. R.; GILLESPIE, A. R.; GOMES, R. A. T.; MARTINS, E. de S.; SILVA, N. C. |
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Afiliação: |
OSMAR ABÍLIO DE CARVALHO JÚNIOR; RENATO FONTES GUIMARÃES; DAVID R. MONTGOMERY; ALAN R. GILLESPIE; ROBERTO ARNALDO TRANCOSO GOMES; EDER DE SOUZA MARTINS, CPAC; NILTON CORREIA SILVA. |
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Título: |
Karst depression detection using ASTER, ALOS/PRISM and SRTM-Derived digital elevation models in the Bambuí Group, Brazil. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Remote sensing, v. 6, p. 330-351, 2014. |
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DOI: |
10.3390/rs6010330 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth, area size and circularity index appropriate for distinguishing dolines were identified from the maximum overall accuracy obtained by comparison with a true doline map. Our results indicate that the best performance of the proposed methodology for meso-scale karst feature detection was using ALOS/PRISM data with a threshold depth > 2 m; areas > 13,125 m2 and circularity indexes > 0.3 (overall accuracy of 0.53). The overall correct identification of around half of the true dolines suggests the potential to substantially improve doline identification using higher-resolution LiDAR-generated DEMs. MenosAbstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth... Mostrar Tudo |
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Palavras-Chave: |
Análise DEM; Brasil. |
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Thesagro: |
Calcário; Sensoriamento remoto; Sistema de Informação Geográfica. |
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Thesaurus NAL: |
Brazil; Geographic information systems; Karsts; Limestone; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/117884/1/Karst-depression-Eder.pdf
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Marc: |
LEADER 03057naa a2200325 a 4500
001 2008550
005 2015-02-12
008 2014 bl uuuu u00u1 u #d
024 7 $a10.3390/rs6010330$2DOI
100 1 $aCARVALHO JÚNIOR, O. A. de
245 $aKarst depression detection using ASTER, ALOS/PRISM and SRTM-Derived digital elevation models in the Bambuí Group, Brazil.
260 $c2014
520 $aAbstract: Remote sensing has been used in karst studies to identify limestone terrain, describe exokarst features, analyze karst depressions, and detect geological structures important to karst development. The aim of this work is to investigate the use of ASTER-, SRTM- and ALOS/PRISM-derived digital elevation models (DEMs) to detect and quantify natural karst depressions along the São Francisco River near Barreiras city, northeast Brazil. The study area is a karst landscape characterized by karst depressions (dolines), closed depressions in limestone, many of which contain standing water connected with the ground-water table. The base of dolines is typically sealed with an impermeable clay layer covered by standing water or herbaceous vegetation. We identify dolines by combining the extraction of sink depth from DEMs, morphometric analysis using GIS, and visual interpretation. Our methodology is a semi-automatic approach involving several steps: (a) DEM acquisition; (b) sink-depth calculation using the difference between the raw DEM and the corresponding DEM with sinks filled; and (c) elimination of falsely identified karst depressions using morphometric attributes. The advantages and limitations of the applied methodology using different DEMs are examined by comparison with a sinkhole map generated from traditional geomorphological investigations based on visual interpretation of the high-resolution remote sensing images and field surveys. The threshold values of the depth, area size and circularity index appropriate for distinguishing dolines were identified from the maximum overall accuracy obtained by comparison with a true doline map. Our results indicate that the best performance of the proposed methodology for meso-scale karst feature detection was using ALOS/PRISM data with a threshold depth > 2 m; areas > 13,125 m2 and circularity indexes > 0.3 (overall accuracy of 0.53). The overall correct identification of around half of the true dolines suggests the potential to substantially improve doline identification using higher-resolution LiDAR-generated DEMs.
650 $aBrazil
650 $aGeographic information systems
650 $aKarsts
650 $aLimestone
650 $aRemote sensing
650 $aCalcário
650 $aSensoriamento remoto
650 $aSistema de Informação Geográfica
653 $aAnálise DEM
653 $aBrasil
700 1 $aGUIMARÃES, R. F.
700 1 $aMONTGOMERY, D. R.
700 1 $aGILLESPIE, A. R.
700 1 $aGOMES, R. A. T.
700 1 $aMARTINS, E. de S.
700 1 $aSILVA, N. C.
773 $tRemote sensing$gv. 6, p. 330-351, 2014.
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