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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
13/10/2009 |
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Data da última atualização: |
03/05/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARVALHO, J. R. P. D.; VIEIRA, S. R.; GREGO, C. R. |
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Afiliação: |
JOSE RUY PORTO DE CARVALHO, CNPTIA; SIDNEY R. VIEIRA, INSTITUTO AGRONÔMICO; CELIA REGINA GREGO, CNPM. |
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Título: |
Comparação de métodos para ajuste de modelos de semivariograma da precipitação pluvial anual. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 13, n. 4, p. 443-448, 2009. |
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Volume: |
v. 13, n. 4, |
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Idioma: |
Português |
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Conteúdo: |
Comumente dados de precipitação pluvial apresentam variação e a obtenção da espacial é primordial no planejamento agrícola e ambiental. O objetivo neste trabalho foi comparar o método de estimação dos mínimos quadrados ponderados para ajuste de modelos ao semivariograma com o método como o método de tentativa e erro, através da técnica de auto-validação "jack-knifing", para dados de precipitação pluvial média anual do Estado de São Paulo. observações de precipitação correspondentes ao período de 1957 a 1997 foram usadas para trezentos e setenta e nove (379) estações pluviométricas abrangendo todo o estado de São Paulo, representando uma área de aproximadamente 248.808,8 km2. A periodicidade exibida pelos semivariogramas foi ajustada pelo modelo "hole effect", em que os parâmetros foram estimados com maior precisão pelo método de mínimos quadrados ponderados quando comparado com o método de tentativa e erro. O método de auto-validação "jack-knifing" mostrou-se adequado para a definição de métodos e modelos a serem usados para semivariâncias, cujo procedimento permitiu definir dezesseis vizinhos como o número ideal para a estimativa por krigagem de valores de precipitação pluvial para locais não amostrados no Estado de São Paulo. |
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Palavras-Chave: |
'jack-knifing"; Auto-validação; Modelo "hole effect"; Periodicidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://www.scielo.br/pdf/rbeaa/v13n4/v13n4a11.pdf
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Marc: |
LEADER 01976naa a2200217 a 4500
001 1513710
005 2019-05-03
008 2009 bl uuuu u00u1 u #d
100 1 $aCARVALHO, J. R. P. D.
245 $aComparação de métodos para ajuste de modelos de semivariograma da precipitação pluvial anual.
260 $c2009
300 $av. 13, n. 4,
490 $vv. 13, n. 4,
520 $aComumente dados de precipitação pluvial apresentam variação e a obtenção da espacial é primordial no planejamento agrícola e ambiental. O objetivo neste trabalho foi comparar o método de estimação dos mínimos quadrados ponderados para ajuste de modelos ao semivariograma com o método como o método de tentativa e erro, através da técnica de auto-validação "jack-knifing", para dados de precipitação pluvial média anual do Estado de São Paulo. observações de precipitação correspondentes ao período de 1957 a 1997 foram usadas para trezentos e setenta e nove (379) estações pluviométricas abrangendo todo o estado de São Paulo, representando uma área de aproximadamente 248.808,8 km2. A periodicidade exibida pelos semivariogramas foi ajustada pelo modelo "hole effect", em que os parâmetros foram estimados com maior precisão pelo método de mínimos quadrados ponderados quando comparado com o método de tentativa e erro. O método de auto-validação "jack-knifing" mostrou-se adequado para a definição de métodos e modelos a serem usados para semivariâncias, cujo procedimento permitiu definir dezesseis vizinhos como o número ideal para a estimativa por krigagem de valores de precipitação pluvial para locais não amostrados no Estado de São Paulo.
653 $a'jack-knifing"
653 $aAuto-validação
653 $aModelo "hole effect"
653 $aPeriodicidade
700 1 $aVIEIRA, S. R.
700 1 $aGREGO, C. R.
773 $tRevista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande$gv. 13, n. 4, p. 443-448, 2009.
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Embrapa Territorial (CNPM) |
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Florestas. |
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Data corrente: |
18/04/2022 |
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Data da última atualização: |
11/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
LAVELLE, P.; MATHIEU, J.; SPAIN. A.; BROWN, G. G.; FRAGOSO, C.; LAPIED, E.; AQUINO, A. de; BAROIS, I.; BARRIOS, E.; BARROS, M. E.; BEDANO, J. C.; BLANCHART, E.; CAULFIELD, M.; CHAGUEZA, Y.; DAI, J.; DECAËNS, T.; DOMINGUEZ, A.; DOMINGUEZ, Y.; FEIJOO, A.; FOLGARAIT, P.; FONTE, S. J.; GOROSITO, N.; HUERTA, E.; JIMENEZ, J. J.; KELLY, C.; LORANGER, G.; MARCHAO, R. L.; MARICHAL, R.; PRAXEDES, C.; RODRIGUEZ, L.; ROUSSEAU, G.; ROUSSEAU, L.; RUIZ, N.; SANABRIA, C.; SUAREZ, J. C.; TONDOH, J. E.; VALENÇA, A. de; VANEK, S. J.; VASQUEZ, J.; VELASQUEZ, E.; WEBSTER, E.; ZHANG, C. |
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Afiliação: |
PATRICK LAVELLE, Université Paris-Sorbonne Nouvelle; JÉRÔME MATHIEU, Université Paris-Sorbonne Nouvelle; ALISTER SPAIN; GEORGE GARDNER BROWN, CNPF; CARLOS FRAGOSO, Red Biodiversidad y Sistemática, Instituto de Ecologia A.C., Xalapa; EMMANUEL LAPIED, Taxonomia Biodiversity Fund.; ADRIANA DE AQUINO; ISABELLE BAROIS, Red Ecología Funcional, Instituto de Ecologia A.C., Xalapa; EDMUNDO BARRIOS, FAO; MARIA ELEUSA BARROS, Université Paris-Sorbonne Nouvelle; JOSÉ CAMILO BEDANO, Universidad Nacional de Rio Cuarto; ERIC BLANCHART, Eco& Sols, Université de Montpellier, IRD, CIRAD, INRAe, Institut Agro; MARK CAULFIELD, Eco& Sols, Université de Montpellier, IRD, CIRAD, INRAe, Institut Agro; Wageningen University; YAMILETH CHAGUEZA, Universidad Nacional de Colombia; JUN DAI, South China Agricultural University; THIBAUD DECAËNS, Centre d'Ecologie Fonctionnelle et Evolutive; ANAHI DOMINGUEZ, Universidad Nacional de Rio Cuarto; YAMILETH DOMINGUEZ, Universidad del Atlántico; ALEXANDER FEIJOO, Universidad Tecnológica de Pereira; PATRICIA FOLGARAIT, Universidad Nacional de Quilmes; STEVEN J. FONTE, Colorado State University; NORMA GOROSITO, Universidad Nacional de Quilmes; ESPERANZA HUERTA, HUERTA; Wageningen University and Research; JUAN JOSE JIMENEZ, Pyrenean Institute of Ecology; COURTLAND KELLY, Colorado State University; GLADYS LORANGER, Université des Antilles; ROBELIO LEANDRO MARCHAO, CPAC; RAPHAEL MARICHAL, CIRAD; CATARINA PRAXEDES, Museu Paraense Emilio Goeldi; LEONARDO RODRIGUEZ, Universidad de la Amazonia; GUILLAUME ROUSSEAU, Maranhão State University; LAURENT ROUSSEAU, Université Paris-Sorbonne Nouvelle; NURIA RUIZ, French National Research Agency; CATALINA SANABRIA, UNIVALLE; JUAN CARLOS SUAREZ, Universidad de la Amazonia; JERÔME EBAGNERIN TONDOH, Université Nagui Abrogoua; ANNE DE VALENÇA, Wageningen University; STEVEN J. VANEK, Colorado State University; JOEL VASQUEZ, Instituto de Investigaciones de la Amazonia Peruana; Universidad Nacional de la Amazonia Peruana; ELENA VELASQUEZ, Universidad Nacional de Colombia; EMILY WEBSTER, University of California; CHI ZHANG, South China Agricultural University. |
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Título: |
Soil macroinvertebrate communities: a world-wide assessment. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Global Ecology and Biogeography, v. 31, n. 7, p. 1261-1276, 2022. |
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DOI: |
https://doi.org/10.1111/geb.13492 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
AIM. Macroinvertebrates comprise a highly diverse set of taxa with great potential as indicators of soil quality. Communities were sampled at 3,694 sites distributed world-wide. We aimed to analyse the patterns of abundance, composition and network characteristics and their relationships to latitude, mean annual temperature and rainfall, land cover, soil texture and agricultural practices.
LOCATION. Sites are distributed in 41 countries, ranging from 55° S to 57° N latitude, from 0 to 4,000 m in elevation, with annual rainfall ranging from 500 to >3,000 mm and mean temperatures of 5?32°C.
TIME PERIOD. 1980-2018.
MAJOR TAXA STUDIED.
All soil macroinvertebrates: Haplotaxida; Coleoptera; Formicidae; Arachnida; Chilopoda; Diplopoda; Diptera; Isoptera; Isopoda; Homoptera; Hemiptera; Gastropoda; Blattaria; Orthoptera; Lepidoptera; Dermaptera; and ?others?.
METHODS.
Standard ISO 23611-5 sampling protocol was applied at all sites. Data treatment used a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger?s method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macrofauna data attributable to each of the environmental factors. Network analysis was performed. Each pairwise association of taxonomic units was tested against a null model considering local and regional scales, in order to avoid spurious correlations.
RESULTS
Communities were separated into five clusters reflecting their densities and taxonomic richness. They were significantly influenced by climatic conditions, soil texture and vegetation cover. Abundance and diversity, highest in tropical forests (1,895 ± 234 individuals/m2) and savannahs (1,796 ± 72 individuals/m2), progressively decreased in tropical cropping systems (tree-associated crops, 1,358 ± 120 individuals/m2; pastures, 1,178 ± 154 individuals/m2; and annual crops, 867 ± 62 individuals/m2), temperate grasslands (529 ± 60 individuals/m2), forests (232 ± 20 individuals/m2) and annual crops (231 ± 24 individuals/m2) and temperate dry forests and shrubs (195 ± 11 individuals/m2). Agricultural management decreased overall abundance by ≤54% in tropical areas and 64% in temperate areas. Connectivity varied with taxa, with dominant positive connections in litter transformers and negative connections with ecosystem engineers and Arachnida. Connectivity and modularity were higher in communities with low abundance and taxonomic richness.
MAIN CONCLUSIONS.
Soil macroinvertebrate communities respond to climatic, soil and land-cover conditions. All taxa, except termites, are found everywhere, and communities from the five clusters cover a wide range of geographical and environmental conditions. Agricultural practices significantly decrease abundance, although the presence of tree components alleviates this effect. MenosAIM. Macroinvertebrates comprise a highly diverse set of taxa with great potential as indicators of soil quality. Communities were sampled at 3,694 sites distributed world-wide. We aimed to analyse the patterns of abundance, composition and network characteristics and their relationships to latitude, mean annual temperature and rainfall, land cover, soil texture and agricultural practices.
LOCATION. Sites are distributed in 41 countries, ranging from 55° S to 57° N latitude, from 0 to 4,000 m in elevation, with annual rainfall ranging from 500 to >3,000 mm and mean temperatures of 5?32°C.
TIME PERIOD. 1980-2018.
MAJOR TAXA STUDIED.
All soil macroinvertebrates: Haplotaxida; Coleoptera; Formicidae; Arachnida; Chilopoda; Diplopoda; Diptera; Isoptera; Isopoda; Homoptera; Hemiptera; Gastropoda; Blattaria; Orthoptera; Lepidoptera; Dermaptera; and ?others?.
METHODS.
Standard ISO 23611-5 sampling protocol was applied at all sites. Data treatment used a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger?s method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macrofauna data attributable to each of the environmental factors. Network analysis was perf... Mostrar Tudo |
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Palavras-Chave: |
Banco de dados; Cobertura da terra; Communities; Ecologia do solo; Macrofauna; Macrofauna database; Macroinvertebrados; Network analysis; Soil macroinvertebrates. |
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Thesaurus NAL: |
Land cover; Soil ecology. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 05077naa a2200757 a 4500
001 2142258
005 2022-07-11
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1111/geb.13492$2DOI
100 1 $aLAVELLE, P.
245 $aSoil macroinvertebrate communities$ba world-wide assessment.$h[electronic resource]
260 $c2022
520 $aAIM. Macroinvertebrates comprise a highly diverse set of taxa with great potential as indicators of soil quality. Communities were sampled at 3,694 sites distributed world-wide. We aimed to analyse the patterns of abundance, composition and network characteristics and their relationships to latitude, mean annual temperature and rainfall, land cover, soil texture and agricultural practices. LOCATION. Sites are distributed in 41 countries, ranging from 55° S to 57° N latitude, from 0 to 4,000 m in elevation, with annual rainfall ranging from 500 to >3,000 mm and mean temperatures of 5?32°C. TIME PERIOD. 1980-2018. MAJOR TAXA STUDIED. All soil macroinvertebrates: Haplotaxida; Coleoptera; Formicidae; Arachnida; Chilopoda; Diplopoda; Diptera; Isoptera; Isopoda; Homoptera; Hemiptera; Gastropoda; Blattaria; Orthoptera; Lepidoptera; Dermaptera; and ?others?. METHODS. Standard ISO 23611-5 sampling protocol was applied at all sites. Data treatment used a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger?s method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macrofauna data attributable to each of the environmental factors. Network analysis was performed. Each pairwise association of taxonomic units was tested against a null model considering local and regional scales, in order to avoid spurious correlations. RESULTS Communities were separated into five clusters reflecting their densities and taxonomic richness. They were significantly influenced by climatic conditions, soil texture and vegetation cover. Abundance and diversity, highest in tropical forests (1,895 ± 234 individuals/m2) and savannahs (1,796 ± 72 individuals/m2), progressively decreased in tropical cropping systems (tree-associated crops, 1,358 ± 120 individuals/m2; pastures, 1,178 ± 154 individuals/m2; and annual crops, 867 ± 62 individuals/m2), temperate grasslands (529 ± 60 individuals/m2), forests (232 ± 20 individuals/m2) and annual crops (231 ± 24 individuals/m2) and temperate dry forests and shrubs (195 ± 11 individuals/m2). Agricultural management decreased overall abundance by ≤54% in tropical areas and 64% in temperate areas. Connectivity varied with taxa, with dominant positive connections in litter transformers and negative connections with ecosystem engineers and Arachnida. Connectivity and modularity were higher in communities with low abundance and taxonomic richness. MAIN CONCLUSIONS. Soil macroinvertebrate communities respond to climatic, soil and land-cover conditions. All taxa, except termites, are found everywhere, and communities from the five clusters cover a wide range of geographical and environmental conditions. Agricultural practices significantly decrease abundance, although the presence of tree components alleviates this effect.
650 $aLand cover
650 $aSoil ecology
653 $aBanco de dados
653 $aCobertura da terra
653 $aCommunities
653 $aEcologia do solo
653 $aMacrofauna
653 $aMacrofauna database
653 $aMacroinvertebrados
653 $aNetwork analysis
653 $aSoil macroinvertebrates
700 1 $aMATHIEU, J.
700 1 $aSPAIN. A.
700 1 $aBROWN, G. G.
700 1 $aFRAGOSO, C.
700 1 $aLAPIED, E.
700 1 $aAQUINO, A. de
700 1 $aBAROIS, I.
700 1 $aBARRIOS, E.
700 1 $aBARROS, M. E.
700 1 $aBEDANO, J. C.
700 1 $aBLANCHART, E.
700 1 $aCAULFIELD, M.
700 1 $aCHAGUEZA, Y.
700 1 $aDAI, J.
700 1 $aDECAËNS, T.
700 1 $aDOMINGUEZ, A.
700 1 $aDOMINGUEZ, Y.
700 1 $aFEIJOO, A.
700 1 $aFOLGARAIT, P.
700 1 $aFONTE, S. J.
700 1 $aGOROSITO, N.
700 1 $aHUERTA, E.
700 1 $aJIMENEZ, J. J.
700 1 $aKELLY, C.
700 1 $aLORANGER, G.
700 1 $aMARCHAO, R. L.
700 1 $aMARICHAL, R.
700 1 $aPRAXEDES, C.
700 1 $aRODRIGUEZ, L.
700 1 $aROUSSEAU, G.
700 1 $aROUSSEAU, L.
700 1 $aRUIZ, N.
700 1 $aSANABRIA, C.
700 1 $aSUAREZ, J. C.
700 1 $aTONDOH, J. E.
700 1 $aVALENÇA, A. de
700 1 $aVANEK, S. J.
700 1 $aVASQUEZ, J.
700 1 $aVELASQUEZ, E.
700 1 $aWEBSTER, E.
700 1 $aZHANG, C.
773 $tGlobal Ecology and Biogeography$gv. 31, n. 7, p. 1261-1276, 2022.
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