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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
23/03/1995 |
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Data da última atualização: |
03/04/2017 |
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Autoria: |
BURKE, I. C.; SCHIMEL, D. S.; YONKER, C. M.; PARTON, W. J.; JOYCE, L. A.; LAUENROTH, W. K. |
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Título: |
Regional modeling of grassland biogeochemistry using GIS. |
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Ano de publicação: |
1990 |
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Fonte/Imprenta: |
Landscape Ecology, v.4, n.1, p.45-54, 1990. |
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Idioma: |
Inglês |
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Conteúdo: |
We used an ecosystem model coupled to a Geographic Information System (GIS) to simulate spatial variability storage and fluxes of C and N withing grassland ecosystems. The GIS contained information on driving variables required to run the model. These were soil texture, monthly precipitation and monthly minimum and maximum temperatures. We overlayed polygon maps of the above variables to procedure a driving variable map of our study region. The final map had 768 polygons in 160 unique classes. The ecosystem model was run to a steady state for each class and NPP, soil organic matter (SOM), net N mjineralization and trace gas emission were mapped back into the GIS for display. Variation in all of the above properties occured within the region. NPP was primarily controlled by climate and patterns followed spatial variation in precipitation closely. Soil organic matter, in contrast, was controlled largely by soil texture within this climatic range. Error associated with aggregation within the study area showed that spatial averages over the study area could be used to drive simulations of NPP, which is linearly related to rainfall. More spatial detail had to be preserved for accurate simulation of SOM, which is nonlinearly related to texture. Mechanistic regional models form a valuable link between process studies and global models. |
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Palavras-Chave: |
Escala de erro; GIS; Grassland; Modelo espacial; Spatial modeling. |
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Thesagro: |
Bioquímica; Ecologia; Ecossistema; Gramínea; Solo. |
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Thesaurus Nal: |
biogeochemistry; ecology; soil. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02173naa a2200337 a 4500
001 1783984
005 2017-04-03
008 1990 bl --- 0-- u #d
100 1 $aBURKE, I. C.
245 $aRegional modeling of grassland biogeochemistry using GIS.
260 $c1990
520 $aWe used an ecosystem model coupled to a Geographic Information System (GIS) to simulate spatial variability storage and fluxes of C and N withing grassland ecosystems. The GIS contained information on driving variables required to run the model. These were soil texture, monthly precipitation and monthly minimum and maximum temperatures. We overlayed polygon maps of the above variables to procedure a driving variable map of our study region. The final map had 768 polygons in 160 unique classes. The ecosystem model was run to a steady state for each class and NPP, soil organic matter (SOM), net N mjineralization and trace gas emission were mapped back into the GIS for display. Variation in all of the above properties occured within the region. NPP was primarily controlled by climate and patterns followed spatial variation in precipitation closely. Soil organic matter, in contrast, was controlled largely by soil texture within this climatic range. Error associated with aggregation within the study area showed that spatial averages over the study area could be used to drive simulations of NPP, which is linearly related to rainfall. More spatial detail had to be preserved for accurate simulation of SOM, which is nonlinearly related to texture. Mechanistic regional models form a valuable link between process studies and global models.
650 $abiogeochemistry
650 $aecology
650 $asoil
650 $aBioquímica
650 $aEcologia
650 $aEcossistema
650 $aGramínea
650 $aSolo
653 $aEscala de erro
653 $aGIS
653 $aGrassland
653 $aModelo espacial
653 $aSpatial modeling
700 1 $aSCHIMEL, D. S.
700 1 $aYONKER, C. M.
700 1 $aPARTON, W. J.
700 1 $aJOYCE, L. A.
700 1 $aLAUENROTH, W. K.
773 $tLandscape Ecology$gv.4, n.1, p.45-54, 1990.
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Registro original: |
Embrapa Pantanal (CPAP) |
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