Soil organic carbon data from: Soil organic carbon and root distribution in a temperate arable agroforestry system
Notice bibliographique
Résumé
These data describe organic carbon content and soil bulk density measurements taken at a site in Bedfordshire, England in 2011, described in: Upson, M.A. & Burgess, P.J., 2013. Soil organic carbon and root distribution in a temperate arable agroforestry system. Plant and Soil, 373(1-2), pp.43–58. The samples were collected by Matthew Upson as part of an MSc by research at Cranfield University in 2010-2011. The field site was Olney field, Silsoe, Bedfordshire (N52°0'8.06" W0°25'46.80": http://g.co/maps/5bnxx) at the Cranfield experimental farm. Samples were taken from an agroforestry experiment described in: Burgess PJ, Incoll LD, Corry DT, Beaton A, Hart BJ (2005) Poplar (Populus spp) growth and crop yields in a silvoarable experiment at three lowland sites in England. Agrofor Syst 63:157–169 Burgess, P.J. et al., 2003. The Impact of Silvoarable Agroforestry with Poplar on Farm Profitability and Biological Diversity Final Report to DEFRA, Silsoe: Institute of Water and Environment, Cranfield University. The data comprise 10 columns describing 216 measurements of soil organic carbon content, and associated bulk density measurements. Organic carbon was measured using a modified Walkley-Black method. Two methods of presenting soil organic carbon stock measurements are presented: the first using the 'fixed depth' method of bulk density x organic carbon content; then second, using the Equivalent Soil Mass (ESM) technique explained in: Ellert, B.H. and Bettany, J.R. (1995) ‘Calculation of organic matter and nutrients stored in soils under contrasting management regimes’, Canadian Journal of Soil Science, 75(4), pp. 529–538. We used a baseline bulk density of 1 g cm-3, following: Bambrick, A.D., Whalen, J.K., Bradley, R.L., Cogliastro, A., Gordon, A.M., Olivier, A. and Thevathasan, N. V. (2010) ‘Spatial heterogeneity of soil organic carbon in tree-based intercropping systems in Quebec and Ontario, Canada’, Agroforestry Systems, 79(3), pp. 343–353. This differs slightly from the iruginal paper, in which only the fixed-depth calculation method was used. See citation for details. year: Single integer 2011 ID: Code indentifying individual trees in the experiment closest to the soil carbon measurements. e.g.: 1CB4: Block one, Cropped treatment, Beaupre hybrid, tree 4. See Upson & Burgess (2013). block: Following the original experimental design, there are three replicate blocks (B1:B3). ctrltmt: This column describes whether the sample was taken from the silvoarable agroforestry experiment (tmt), or from surrounding arable controls (ctrl). treat: Cropping treatment. Either C for continuously cropped, or F for continously Fallow. dist_m: Distance of sample from sample tree in metres. depth_cm: Depth from which the sample was taken in cm: 5, 16, 30, 50, 83, 128. di_cm: Depth of assumed sampling increment centred on the sampling depth. OCC_g_100g: Uncorrected organic carbon content as determined by a modified Walkley Black dichromate digest. Presented as grams per 100 grams. BD_g_cm3: Soil bulk density, in grams per centimetre cubed. measured using the ring method described by Klute, A. (1986) Methods of Soil Analysis: Part 1 - Physical and Mineralogical Methods. 2nd edn. Wisconsin: American Society of Agronomy. mEquiv: Assumed mass of each soil layer sampled. In this case 1 gm cm-3 * di_cm * 10^4. mMeas: Actual measured mass from measured bulk density, i.e.: BD_g_cm3 * di_cm. tC: Depth adjusted required to reach mEquiv. Calculated from ((mEquiv - mMeas) * 10-4) / BD_g_cm3 SOC_ESM_Mg_ha2: Soil organic carbon stock (Mg ha-1) calculated from the equivalent soil mass technique by: (OCC_g_100g * 0.1) * BD_g_cm3 * tC * 10^4 * 10^-3. SOC_Mg_ha2: Soil organic carbon stock (Mg ha-1) caclulated using the fixed depth method: OCC_g_100g * BD_g_cm3 di_cm.
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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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,004 |
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 ».