Notice bibliographique
Résumé
INTRODUCTION Methods for Assessing Soil C Pools, J.M. Kimble, R. Lal, and R.F. Follett SOIL SAMPLING AND SAMPLE PREPARATION Methodology for Sampling and Preparation for Soil Carbon Determination, J. Kimble, R.B. Grossman, and S. Samson-Liebig Importance of Soil Bulk Density and Methods of its Measurement, R. Lal and J. Kimble The Effects of Terrain Position and Elevation on Soil C in the Southern Appalachians, P.V. Bolstad and J.M. Vose Approaching Functional Soil Organic Matter Pools Through Particle-Size Fractionation: Examples for Tropical Soils, C. Feller, J. Balesdent, B. Nicolardot and C. Cerri Spatial Variability: Enhancing the Mean Estimate of Organic and Inorganic Carbon in a Sampling Unit, L.P. Wilding, L.R. Drees, and L.C. Nordt Assessment of Soil Organic Carbon Using the U.S. Soil Survey, R.B. Grossman, D.S. Harms, D.F. Kingsbury, R.K. Shaw, and A.B. Jenkins Organic Carbon Methods, Microbial Biomass, Root Biomass, and Sampling Design Under Development by NRCS, C.D. Franks, J.M. Kimble, S.E. Samson-Liebig, and T.M. Sobecki ASSESSMENT OF CARBON POOLS Characterization of Soil Organic Carbon Pools, H.H. Cheng, and J. Kimble Measuring and Comparing Soil Carbon Storage, B.H. Ellert, H.H. Janzen, and B.G. McConkey Estimating Total System C in Small Hold and Farming Systems of the East African Highlands, P. Woomer, N.K. Karanja, and E.W. Murage Assessment and Significance of Labile Organic C Pools in Forest Soils, P.K. Khanna, B. Ludwig, J. Bauhus, and C. O'Hara ASSESSMENT OF ANALYTICAL TECHNIQUES Interlaboratory Carbon Isotope Measurement on Five Soils, R.F. Follett and E.G. Pruessner The Determination of Soil C Pool Sizes and Turnover Rates: Biophysical Fractionation and Tracers, E.A. Paul, S.J. Morris, and S. Bohm Ecozone and Soil Profile Screening for C-Residence Time, Rejuvenation, Bomb 14C Photosyntheticd13C Changes, H.W. Scharpenseel, E.M. Pfeiffer, and P. Becker-Heidmann Use of 13C Isotopes to Determine Net Carbon Sequestration in Soil Under Ambient and Elevated CO2, W.R. Horwath, C. Van Kessel, U. Hartwig, and D. Harris Methods Using Amino Sugars as Markers for Microbial Residues in Soil, W. Amelung Characterization of Soil Organic Matter, C.L. Ping, G.J. Michaelson, X.Y. Dai, and R.J. Candler Fractioning Soil in Stable Aggregates Using a Rainfall Simulator, G.C. Starr, R. Lal, and J. Kimble Towards an Efficient Method for Measuring Total Organic Carbon Stocks in Forests, G.R. Smith Soil Organic Matter Elevation, R.A. Rossell, J.C. Gasparoni, and J.A. Galantini The Development of the KMnO4 Oxidation Technique to Determine Labile Carbon in Soil and Its Use in a Carbon Index Management, G. Blair, R. Lefroy, A. Whitbread, N. Blair, and A. Conteh Effects of Soil Morphological and Physical Properties on Estimation of Carbon Storage in Arctic Soils, G.J. Michaelson, C.L. Ping, and J.M. Kimble Estimation of Particulate and Total Organic Matter by Weight-Loss-on-Ignition, C.A. Camberdella, A.M. Gajda, J.W. Doran, B.J. Wienhold, and T.A. Kettler Use of Near Infrared Spectroscopy to Determine Inorganic and Organic Carbon Fractions in Soil and Litter, B. Ludwig and P.K. Khanna Development of Rapid Instrumental Methods for Measuring Soil Organic Carbon, G.W. McCarty and J.B. Reeves, III Soil Quality Evaluations of Alternative and Conventional Management Systems in the Great Plains, A.M. Gajda, J.W. Doran, T.A. Kettler, B.J. Wienhold, J.L. Pikul, Jr., and C.A. Cambardella SOIL EROSION AND SEDIMENTATION 137Cs for Measuring Soil Erosion and Redeposition: Application for Understanding Soil Carbon, J.C. Ritchie Assessing the Impact of Erosion on Soil Organic Carbon Pools and Fluxes, G.C. Starr, R. Lal, and J. Kimble, and L. Owens Assessing Water Erosion Impacts on Soil Carbon Pools and Fluxes, P.A. Jacinthe, R. Lal, and J. Kimble Soil Organic Carbon Erosion Assessment by Cesium-137, Y. Hao, R. Lal, L.B. Owens, and R. C. Izaurralde MODELING AND SCALING PROCEDURES A Simple Model to Estimate Soil Carbon Dynamics at the BOREAS Northern Study Area, Manitoba, Canada, G. Rapalee Methods Used to Create the North American Soil Organic Carbon Digital Database, R. Lacelle, S. Waltman, N. Bliss, and F. Orozco-Chavez Basic Principles for Soil Carbon Sequestration and Calculating Dynamic Country-Level Balances Including Future Scenarios, O. Andren and T. Katterer Examining the Carbon Stocks of Boreal Forest Ecosystems at Stand and Regional Scales, J.S. Bhatti, M.J. Apps, and H. Jiang Predicting Broadscale C Stores of Woody Detritus from Plot Data, M.E. Harmon, O.N. Krankina, M. Yatskov, and E. Matthews Soil C Dynamics: Measurement, Simulation, and Site-to-Region Scale-Up, R.C. Izaurralde, K.H. Haugen-Kozyra, D.C. Jans, W.B. McGill, R.F. Grant, and J.C. Hiley Some Factors Affecting the Distributions of Carbon in Soils of a Dryland Agricultural System in Southwestern Australia, R.J. Harper and R.J. Gilkes A National Inventory of Changes in Soil Carbon from National Resources Inventory Data, M.D. Eve, K. Paustian, R. Follett, and E.T. Elliot ECONOMICS AND POLICY ISSUES Assessing the Economics of Carbon Sequestration in Agriculture, L. Tweeten, B. Sohngen, and J. Hopkins Climate Change Policy and the Agricultural Sector, D. Zilberman and D. Sunding Approaches to Assessing Carbon Credits and Identifying Trading Mechanisms, A. Manale SYNTHESIS Methodological Challenges Toward Balancing Soil C Pools and Fluxes, R. Lal, J.M. Kimble, and R.F. Follett
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,041 | 0,016 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».