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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
15/09/2008 |
Data da última atualização: |
15/09/2008 |
Autoria: |
BAROIS, I.; VELASQUEZ, E.; LAVELLE, P.; NEGRETE-YANKELEVICH, S; GARCÍA, J. A.; SANTOS, M.; ÁLVAREZ-SÁNCHEZ, J.; CASTILLO-CAMPOS, G.; CRAM, S.; FRAGOSO, C; FRANCO-NAVARRO, F.; MARTÍNEZ-ROMERO, E.; MEZA, E.; MORÓN, M. A.; RODRÍGUEZ, P.; ROJAS, P.; SOSA, V.; TREJO, D.; VARELA, L.; BUENO-VILLEGAS, J.; GÓMEZ, J. A.; SORMANI, C. |
Título: |
Soil quality parameters that determine the below ground biodiversity in Los Tuxtlas Veracruz Mexico. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM. |
Idioma: |
Inglês |
Conteúdo: |
In the frame of the project ?Conservation and sustainable management of below ground
biodiversity (GEF/UNEP-CIAT/TSBF)? soil organisms inventories were done in the biosphere
reserve of Los Tuxtlas around Santa Martha volcano. 3 Sites (LM, SF and VC) and 4 land use
(forest (S), fallow (A), pasture (P) and maize (M) were sampled, in 89 points . The sampled
organisms were the biological nitrogen fixators, the mychorrizal fungi, the nematodes, the
macrofauna (earthworms, ants, termites, beetles, millipedes, centipedes?). In each point the
samples for the microorganisms and nematodes came from a composite soil sample made of
12 cores of 5 cm diameter and 20 cm height. The macrofauna was sampled with monoliths
(25x25x30cm), Winkler bags and Pitfall traps. Some chemical parameters (pH, Na, K, Mg. Ca
and P Bray), physical (% H,EC, clay, lime, sand, ad, rd, slope) and organic parameters ( C, N,
NH4, NO3, litter and deshydrogenase and B-glucosidase activity) were measured in each points
from the composed sample.
In order to synthesized the results and to evaluate which parameters of the soil determine the
diversity of organisms the general indicator of soil quality (GISQ) was build after 4 subindicators
that evaluates the physical, chemical, organic matter and the macrofauna data. The construction
of the GISQ was made with PCA of each of the 4 sets of variables and a cluster analysis. Also
identification of species indicators (Ind Val) and coinertia analysis was carried out.
The PCA of the 4 set of variables showed significant separation among sites and among land
uses. LM site had the best soil quality, followed by SF and VC. In the land use system S showed
the best soil quality and M the lowest, although in some group of variables P and A uses presented
a quality near to S.
The highest GISQ (1.00-0.85) were from LM but in different land uses (S, A and P); the lowest
(0.49-0.21) were in VC in maize and pasture and in SF in maize. The cluster analysis did
discriminate 8 groups of the sampling points having a similar GISQ.
The Ind Val analysis extracted some species indicators many from the ants and the nematodes
and few from the earthworms, termites and mycorrhizal fungi.
The co-inertia analysis between soil quality indicators and species richness displayed that
some diplopodes and coleoptera and native earthworms required a high soil quality soil. Other
coleoptera, ants and exotic earthworms required a less rich soil although with a high quality in
organic matter. Finally ,the microorganisms (Rhizobia and mycorrhizal fungi), Nematodes and
Chilopoda, were more represented in poor quality soils MenosIn the frame of the project ?Conservation and sustainable management of below ground
biodiversity (GEF/UNEP-CIAT/TSBF)? soil organisms inventories were done in the biosphere
reserve of Los Tuxtlas around Santa Martha volcano. 3 Sites (LM, SF and VC) and 4 land use
(forest (S), fallow (A), pasture (P) and maize (M) were sampled, in 89 points . The sampled
organisms were the biological nitrogen fixators, the mychorrizal fungi, the nematodes, the
macrofauna (earthworms, ants, termites, beetles, millipedes, centipedes?). In each point the
samples for the microorganisms and nematodes came from a composite soil sample made of
12 cores of 5 cm diameter and 20 cm height. The macrofauna was sampled with monoliths
(25x25x30cm), Winkler bags and Pitfall traps. Some chemical parameters (pH, Na, K, Mg. Ca
and P Bray), physical (% H,EC, clay, lime, sand, ad, rd, slope) and organic parameters ( C, N,
NH4, NO3, litter and deshydrogenase and B-glucosidase activity) were measured in each points
from the composed sample.
In order to synthesized the results and to evaluate which parameters of the soil determine the
diversity of organisms the general indicator of soil quality (GISQ) was build after 4 subindicators
that evaluates the physical, chemical, organic matter and the macrofauna data. The construction
of the GISQ was made with PCA of each of the 4 sets of variables and a cluster analysis. Also
identification of species indicators (Ind Val) and coinertia analysis was carried out.
The PCA o... Mostrar Tudo |
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LEADER 03903naa a2200373 a 4500 001 1314804 005 2008-09-15 008 2008 bl uuuu u00u1 u #d 100 1 $aBAROIS, I. 245 $aSoil quality parameters that determine the below ground biodiversity in Los Tuxtlas Veracruz Mexico. 260 $c2008 520 $aIn the frame of the project ?Conservation and sustainable management of below ground biodiversity (GEF/UNEP-CIAT/TSBF)? soil organisms inventories were done in the biosphere reserve of Los Tuxtlas around Santa Martha volcano. 3 Sites (LM, SF and VC) and 4 land use (forest (S), fallow (A), pasture (P) and maize (M) were sampled, in 89 points . The sampled organisms were the biological nitrogen fixators, the mychorrizal fungi, the nematodes, the macrofauna (earthworms, ants, termites, beetles, millipedes, centipedes?). In each point the samples for the microorganisms and nematodes came from a composite soil sample made of 12 cores of 5 cm diameter and 20 cm height. The macrofauna was sampled with monoliths (25x25x30cm), Winkler bags and Pitfall traps. Some chemical parameters (pH, Na, K, Mg. Ca and P Bray), physical (% H,EC, clay, lime, sand, ad, rd, slope) and organic parameters ( C, N, NH4, NO3, litter and deshydrogenase and B-glucosidase activity) were measured in each points from the composed sample. In order to synthesized the results and to evaluate which parameters of the soil determine the diversity of organisms the general indicator of soil quality (GISQ) was build after 4 subindicators that evaluates the physical, chemical, organic matter and the macrofauna data. The construction of the GISQ was made with PCA of each of the 4 sets of variables and a cluster analysis. Also identification of species indicators (Ind Val) and coinertia analysis was carried out. The PCA of the 4 set of variables showed significant separation among sites and among land uses. LM site had the best soil quality, followed by SF and VC. In the land use system S showed the best soil quality and M the lowest, although in some group of variables P and A uses presented a quality near to S. The highest GISQ (1.00-0.85) were from LM but in different land uses (S, A and P); the lowest (0.49-0.21) were in VC in maize and pasture and in SF in maize. The cluster analysis did discriminate 8 groups of the sampling points having a similar GISQ. The Ind Val analysis extracted some species indicators many from the ants and the nematodes and few from the earthworms, termites and mycorrhizal fungi. The co-inertia analysis between soil quality indicators and species richness displayed that some diplopodes and coleoptera and native earthworms required a high soil quality soil. Other coleoptera, ants and exotic earthworms required a less rich soil although with a high quality in organic matter. Finally ,the microorganisms (Rhizobia and mycorrhizal fungi), Nematodes and Chilopoda, were more represented in poor quality soils 700 1 $aVELASQUEZ, E. 700 1 $aLAVELLE, P. 700 1 $aNEGRETE-YANKELEVICH, S 700 1 $aGARCÍA, J. A. 700 1 $aSANTOS, M. 700 1 $aÁLVAREZ-SÁNCHEZ, J. 700 1 $aCASTILLO-CAMPOS, G. 700 1 $aCRAM, S. 700 1 $aFRAGOSO, C 700 1 $aFRANCO-NAVARRO, F. 700 1 $aMARTÍNEZ-ROMERO, E. 700 1 $aMEZA, E. 700 1 $aMORÓN, M. A. 700 1 $aRODRÍGUEZ, P. 700 1 $aROJAS, P. 700 1 $aSOSA, V. 700 1 $aTREJO, D. 700 1 $aVARELA, L. 700 1 $aBUENO-VILLEGAS, J. 700 1 $aGÓMEZ, J. A. 700 1 $aSORMANI, C. 773 $tIn: INTERNATIONAL COLLOQUIUM ON SOIL ZOOLOGY, 15; INTERNATIONAL COLLOQUIUM ON APTERYGOTA, 12., 2008, Curitiba. Biodiversity, conservation and sustainabele management of soil animal: abstracts. Colombo: Embrapa Florestas. Editors: George Gardner Brown; Klaus Dieter Sautter; Renato Marques; Amarildo Pasini. 1 CD-ROM.
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
03/07/2020 |
Data da última atualização: |
12/11/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
RIZZO, R.; GARCIA, A. S.; VILELA, V. M. de F. N.; BALLESTER, M. V. R.; NEILL, C.; VICTORIA, D. de C.; ROCHA, H. R. da; COE, M. T. |
Afiliação: |
RODNEI RIZZO, Cena/USP; ANDREA S. GARCIA, Cena/USP; VÍVIAN M. DE F. N. VILELA, Cena/USP; MARIA VICTORIA R. BALLESTER, Cena/USP; CHRISTOPHER NEILL, Woods Hole Research Center; DANIEL DE CASTRO VICTORIA, CNPTIA; HUMBERTO R. DA ROCHA, USP; MICHAEL T. COE, Woods Hole Research Center. |
Título: |
Land use changes in Southeastern Amazon and trends in rainfall and water yield of the Xingu River during 1976-2015. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Climatic Change, v. 162, n. 3, p. 1419-1436, Oct. 2020. |
DOI: |
https://doi.org/10.1007/s10584-020-02736-z |
Idioma: |
Inglês |
Conteúdo: |
Abstract. Since the early 1970s, the agricultural frontier of southeastern Amazon has undergone extensive land use changes. These alterations, combined with regional climate changes, have the potential to influence the hydrologic cycle at small to large scales. We evaluated a 40-year time series (1976 to 2015) of rainfall and water yield and related them to land use changes in the Upper Xingu River Basin (UX). We acquired data from six rainfall stations and four river gauges and mapped land use changes. Mann-Kendall trend analysis and Pettitt´s change point detection were employed to describe annual and seasonal changes in the time series. Monthly water yield from the Xingu River was used to derive annual, seasonal, and monthly water yield, as well as the runoff coefficient. The largest changes in land use occurred during the last two decades and approximately 60,900 km2 in the Upper Xingu Basin were deforested between 1985 and 2015. Rainfall in the Xingu Basin decreased by about 245 mm over the period but there was no trend in water yield. The number of rainy days and intensity of events also decreased, but the length of the rainy season and seasonal and annual water yield did not change. Although watershed deforestation has increased water yield in other Amazon rivers, the reduction in rainfall in the Upper Xingu Basin was high enough to mask this effect. |
Palavras-Chave: |
Bacia do Rio Xingu; Hydro-climatological indicators; Mann-Kendall analysis; Upper Xingu Basin. |
Thesagro: |
Chuva; Desmatamento; Uso da Terra. |
Thesaurus NAL: |
Amazonia; Climate change; Deforestation; Land use; Land use change. |
Categoria do assunto: |
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Marc: |
LEADER 02460naa a2200361 a 4500 001 2123620 005 2020-11-12 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1007/s10584-020-02736-z$2DOI 100 1 $aRIZZO, R. 245 $aLand use changes in Southeastern Amazon and trends in rainfall and water yield of the Xingu River during 1976-2015.$h[electronic resource] 260 $c2020 520 $aAbstract. Since the early 1970s, the agricultural frontier of southeastern Amazon has undergone extensive land use changes. These alterations, combined with regional climate changes, have the potential to influence the hydrologic cycle at small to large scales. We evaluated a 40-year time series (1976 to 2015) of rainfall and water yield and related them to land use changes in the Upper Xingu River Basin (UX). We acquired data from six rainfall stations and four river gauges and mapped land use changes. Mann-Kendall trend analysis and Pettitt´s change point detection were employed to describe annual and seasonal changes in the time series. Monthly water yield from the Xingu River was used to derive annual, seasonal, and monthly water yield, as well as the runoff coefficient. The largest changes in land use occurred during the last two decades and approximately 60,900 km2 in the Upper Xingu Basin were deforested between 1985 and 2015. Rainfall in the Xingu Basin decreased by about 245 mm over the period but there was no trend in water yield. The number of rainy days and intensity of events also decreased, but the length of the rainy season and seasonal and annual water yield did not change. Although watershed deforestation has increased water yield in other Amazon rivers, the reduction in rainfall in the Upper Xingu Basin was high enough to mask this effect. 650 $aAmazonia 650 $aClimate change 650 $aDeforestation 650 $aLand use 650 $aLand use change 650 $aChuva 650 $aDesmatamento 650 $aUso da Terra 653 $aBacia do Rio Xingu 653 $aHydro-climatological indicators 653 $aMann-Kendall analysis 653 $aUpper Xingu Basin 700 1 $aGARCIA, A. S. 700 1 $aVILELA, V. M. de F. N. 700 1 $aBALLESTER, M. V. R. 700 1 $aNEILL, C. 700 1 $aVICTORIA, D. de C. 700 1 $aROCHA, H. R. da 700 1 $aCOE, M. T. 773 $tClimatic Change$gv. 162, n. 3, p. 1419-1436, Oct. 2020.
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