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Enregistrement W3009359826

Towards a common humus forms classification. The point in Europe: few top soil references as functioning systems. (Humus forms: integration of living ecosystems)

2006· article· en· W3009359826 sur OpenAlexaboutno aff
Augusto Zanella, M. English, Bernard Jabiol, Klaus Katzensteiner, Herbert Hager, Ulfert Graefe, Silvia Chersich, Gabriele Broll, E Kolb, Roland Baier, Rainer Baritz, Nathalie Cools, Gerhard Milbert, Jean‐François Ponge

Notice bibliographique

RevueResearch Padua Archive (University of Padua) · 2006
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePlant Ecology and Soil Science
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHumusEcosystemPoint (geometry)Environmental scienceEcologySoil waterMathematicsSoil scienceBiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Presentazione grafica della chiave di riconoscimento delle forme di humus concepita dal Gruppo Humus Europeo.- - - - - [ABSTRACT: 1.A European humus group exists and has done some steps into a common classification of the humus forms;
\n2.The principles of the classification;
\n3.The future horizons.
\n 
\n1. In Europe as well as in North America a multitude of humus taxonomies exists starting with early approaches in the late 19th century. Due to the variety of sites throughout Europe, different methodological approaches were used, thus resulting in different classification systems. The Canadian (Green et al. 1993) and French (Brêthes et al. 1998) classification systems are frequently used in an international context, but don’t cover all site conditions of European forest ecosystems. Basic concepts of most national European classification systems are similar along general lines. Nevertheless there are differences in parameters used for description and classification of humus forms as well as in scaling these parameters. This results in incompatibility of classifications on the lower levels of the systems. So, i.e. regional humus forms cannot be described and compared as similar designations of humus forms often having differing contents, and similar contents having differing names. In 2003, during a meeting in Trento (Italy), 26 European specialists in humus forms met in Trento (Italy) and of humus forms decided to create set up a “European humus research group” in order to study the process of transformation of the top soil and to find some rules of classification based on a morpho-genetic description and diagnostic horizons, adapted to European ecological conditions. The young born group managed established three commissions named “Vocabulary”, “Classification” and “Diffusion”. These organs of actiongroups produced some common references. and Tthise goal of the presention paper is to illustrates the most important steps in on this way. In July 2004, the commission Classification met in Vienna (Austria) and drew drafted a first schemakey in which to the main terrestrial humus forms have been placed on a plane in based on response to some environmental conditions and specific biological activities. The This draft has beenwas presented in Freiburg (Germany) at the EUROSOIL Congress 2004 (Jabiol et al. 2004) and renewed was worked out furtherly in San Vito (Italy) in 2005 in a well developed taxonomic draft. Protocols for assessment and sampling of ecto- and endorganic layers were set up as well as definitions of specific horizons and the their designation.
\n2. Taking into account the Canadian (Green et al., 1993) and the French points of view (Brêthes and al. 1998) as well as new national classification systems form Austria, the Netherlands and Germany, it has been possible to individuate four main humus forms (Mull, Moder, Mor and Amphihumus) are classed and each further dividing into many subcategories. Assigning a strong discriminating power to the actions of the pedofauna, which above all modifies the OH and A horizons characters and determines the evolution of the top soil in a given ecosystem, one canit is possible to class both humus form and ecosystem functioning. Mull humus forms are developed due to the mixing activity mainly of anecic and endogeic earthworms, mainly. In unfavourable ecological conditions for earthworms, Moder humus forms are developed by the litter comminuting activity of microarthropods and enchytraeids. Amphihumus corresponds to the activity of both animal groups in different vertical niches strata and, finally, Mor humus forms are found in ecosystems in which soil animal abundance is very low. Some properties are considered as taxonomic differentiae for humus forms: the presence/absence and thickness of diagnostic horizon, type and size of horizons’ structure, presence/quantity of roots, woody debris and rock. Thanks to a Dutch input, the last version of the classification takes into account also the semi-terrestrial ecosystems. Conceived as a dichotomised tree, the first bifurcation of the key divides peat from terrestrial forms. The descriptors for the diagnostic horizons have been conceived in harmony with the FAOWRB-draft (1998) and will be presented in Philadelphia by Broll G. et al. under the title "Topsoil characterization and classifications. New developments and chances for links to WRB.
\n3. From 2004, a web site is active in Grenoble (France) :
\nhttp://humusresearchgroup.grenoble.cemagref.fr/. The 40 members of the group are from 10 European countries (Austria, Belgium, Czech Republic, France, Germany, Italy, Netherlands, Rumania, Sweden, Switzerland). The running projects concern nowdeal with better definitions of the Amphi- and Litho- humus forms and all the transitional cases, particularly between Amphihumus - Moder and Moder - Mor. Three meetings are planned in order to look all together at peat (Netherlands, Alterra, 2006), high mountain (France, Grenoble, 2007) and Mediterranean (Italy, Cagliari, 2007) ecosystems. It currently is considered to use the present classification within the BioSoil project of the European Community (repetition of transnational soil condition monitoring)]

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,316
Score d'incertitude au seuil0,978

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0030,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,044
Tête enseignante GPT0,267
Écart entre enseignants0,223 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2006
Routes d'admission1
Résumé présentoui

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