Influence of macroclimate on soil microbial biomass
Identifieur interne : 004A62 ( Main/Exploration ); précédent : 004A61; suivant : 004A63Influence of macroclimate on soil microbial biomass
Auteurs : H. Insam [Canada] ; D. Parkinson [Canada] ; K. H. Domsch [Allemagne]Source :
- Soil Biology and Biochemistry [ 0038-0717 ] ; 1989.
Abstract
Soils from 12 agricultural long-term experimental fields located in contrasting climatic regions were used to assess the influence of macroclimate on soil microbial biomass (Cmicr). Cmicr was measured using the substrate-induced respiration technique. When Cmicr was calculated on the basis of soil dry mass (mg Cmicr g−1 soil d.m.), only poor correlations with climatic variables were found. However, when Cmicr was calculated based on organic carbon (mg Cmicr g−1 Corg), close relationships with climatic variables were found. Especially, integrative climatic variables which reflected not only the temperature regime but also the moisture conditions, were found to be good predictors of the Cmicr-to-Corg ratio. The best predictor was the precipitation-evaporation quotient which accounted for 68% of the variance. With a stepwise, multiple-linear regression procedure, the clay content and pH of the soils were found to account for another 2 and 3% of the variance, respectively. Parts of the remaining variance could be accounted for by differences in fertilization, crops, tillage practices or residue returns. The Cmicr-to-Corg ratio of monocultures was significantly lower than that of crop rotations, and so was that of mineral fertilized compared to organically manured plots.The organic matter content of the soils studied were at or near the equilibrium level. An equilibrium function for the Cmicr-to-Corg ratio was calculated: y = 18.18+ 108.3-e−6.728x, where x = precipitation/ evaporation. Deviation from this equilibrium line would indicate that a certain soil is losing or accumulating organic matter.
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DOI: 10.1016/0038-0717(89)90097-7
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Domsch</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:0450F3FEB7E33054500C088D16689F3A709C365A</idno><date when="1989" year="1989">1989</date><idno type="doi">10.1016/0038-0717(89)90097-7</idno><idno type="url">https://api-v5.istex.fr/document/0450F3FEB7E33054500C088D16689F3A709C365A/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">001E19</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001E19</idno><idno type="wicri:Area/Istex/Curation">001E19</idno><idno type="wicri:Area/Istex/Checkpoint">002162</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">002162</idno><idno type="wicri:doubleKey">0038-0717:1989:Insam H:influence:of:macroclimate</idno><idno type="wicri:Area/Main/Merge">005413</idno><idno type="wicri:Area/Main/Curation">004A62</idno><idno type="wicri:Area/Main/Exploration">004A62</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a">Influence of macroclimate on soil microbial biomass</title><author><name sortKey="Insam, H" sort="Insam, H" uniqKey="Insam H" first="H." last="Insam">H. Insam</name><affiliation wicri:level="4"><country>Canada</country><wicri:regionArea>Kananaskis Centre for Environmental Research, The University of Calgary, Calgary, Alberta</wicri:regionArea><orgName type="university">Université de Calgary</orgName><placeName><settlement type="city">Calgary</settlement><region type="state">Alberta</region></placeName></affiliation></author><author><name sortKey="Parkinson, D" sort="Parkinson, D" uniqKey="Parkinson D" first="D." last="Parkinson">D. Parkinson</name><affiliation wicri:level="4"><country>Canada</country><wicri:regionArea>Kananaskis Centre for Environmental Research, The University of Calgary, Calgary, Alberta</wicri:regionArea><orgName type="university">Université de Calgary</orgName><placeName><settlement type="city">Calgary</settlement><region type="state">Alberta</region></placeName></affiliation></author><author><name sortKey="Domsch, K H" sort="Domsch, K H" uniqKey="Domsch K" first="K. H." last="Domsch">K. H. Domsch</name><affiliation wicri:level="1"><country xml:lang="fr" wicri:curation="lc">Allemagne</country><wicri:regionArea>Institut für Bodenbiologie, Bundesforschungsanstalt für Landwirtschaft, Bundesallee 50, D-3300 Braunschweig</wicri:regionArea><wicri:noRegion>D-3300 Braunschweig</wicri:noRegion><wicri:noRegion>D-3300 Braunschweig</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Soil Biology and Biochemistry</title><title level="j" type="abbrev">SBB</title><idno type="ISSN">0038-0717</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1989">1989</date><biblScope unit="volume">21</biblScope><biblScope unit="issue">2</biblScope><biblScope unit="page" from="211">211</biblScope><biblScope unit="page" to="221">221</biblScope></imprint><idno type="ISSN">0038-0717</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0038-0717</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Soils from 12 agricultural long-term experimental fields located in contrasting climatic regions were used to assess the influence of macroclimate on soil microbial biomass (Cmicr). Cmicr was measured using the substrate-induced respiration technique. When Cmicr was calculated on the basis of soil dry mass (mg Cmicr g−1 soil d.m.), only poor correlations with climatic variables were found. However, when Cmicr was calculated based on organic carbon (mg Cmicr g−1 Corg), close relationships with climatic variables were found. Especially, integrative climatic variables which reflected not only the temperature regime but also the moisture conditions, were found to be good predictors of the Cmicr-to-Corg ratio. The best predictor was the precipitation-evaporation quotient which accounted for 68% of the variance. With a stepwise, multiple-linear regression procedure, the clay content and pH of the soils were found to account for another 2 and 3% of the variance, respectively. Parts of the remaining variance could be accounted for by differences in fertilization, crops, tillage practices or residue returns. The Cmicr-to-Corg ratio of monocultures was significantly lower than that of crop rotations, and so was that of mineral fertilized compared to organically manured plots.The organic matter content of the soils studied were at or near the equilibrium level. An equilibrium function for the Cmicr-to-Corg ratio was calculated: y = 18.18+ 108.3-e−6.728x, where x = precipitation/ evaporation. Deviation from this equilibrium line would indicate that a certain soil is losing or accumulating organic matter.</div></front></TEI><affiliations><list><country><li>Allemagne</li><li>Canada</li></country><region><li>Alberta</li></region><settlement><li>Calgary</li></settlement><orgName><li>Université de Calgary</li></orgName></list><tree><country name="Canada"><region name="Alberta"><name sortKey="Insam, H" sort="Insam, H" uniqKey="Insam H" first="H." last="Insam">H. Insam</name></region><name sortKey="Parkinson, D" sort="Parkinson, D" uniqKey="Parkinson D" first="D." last="Parkinson">D. Parkinson</name></country><country name="Allemagne"><noRegion><name sortKey="Domsch, K H" sort="Domsch, K H" uniqKey="Domsch K" first="K. H." last="Domsch">K. H. Domsch</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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