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Establishment of the North Eastern Soil Monitoring Cooperative

2007· article· en· W2080538275 sur OpenAlexaboutno aff
Gregory B. Lawrence, Scott W. Bailey

Notice bibliographique

RevueBulletin of the Ecological Society of America · 2007
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueSoil Geostatistics and Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiosphereSoil waterDeposition (geology)Environmental scienceWetlandEcosystemAgricultureEnvironmental changeEnvironmental monitoringGeographyHydrology (agriculture)Climate changeEcologySoil scienceGeologyArchaeologyEnvironmental engineering

Résumé

récupéré en direct d'OpenAlex

A workshop organized by Greg Lawrence and Scott Bailey to establish the cooperative was held at the New York Water Science Center, Troy, New York, USA on 6–7 March 2007. Environmental monitoring is an essential tool for identifying the effects of human activities on the biosphere and for evaluating government policies designed to ameliorate these effects. The need for environmental data has led to national programs to monitor atmospheric deposition, the composition and growth of forests, and the chemistry of lakes and streams in regions affected by acidic deposition. However, there has been no organized effort to date to monitor changes in soils despite their importance to agriculture, forest growth, wetlands, and water quality, and their susceptibility to environmental stresses such as acidic deposition and climate change. The lack of attention given to soil monitoring can be attributed, in part, to questions regarding its feasibility. These questions derive from a common belief that soils are more likely to change over centuries than decades, and the knowledge that soils are highly variable in both vertical and horizontal space, a characteristic that complicates repeated sampling of the same soil. Within the past 15 years, however, changes in soil chemistry in eastern North America and Europe have been measured through resampling in a variety of soil types, over sampling intervals as short as 5 years. More opportunities for measuring soil change are becoming available through early investigations of acidic deposition effects, as well as other past ecosystem studies. As the number of these studies has grown, so too has the recognition that methods for sample collection and analysis are not always compatible, and methods for archiving are not well developed. Without established protocols that are both effective, and consistent among studies, the transfer value of individual studies is limited. To promote the coordinated collection of high-quality data on soil change, the first workshop on soil monitoring in the Northeastern United States and Eastern Canada was held to organize interested individuals and institutions into a cooperative network. The workshop was sponsored by the Northeastern States Research Cooperative and the New York State Energy Research and Development Authority (NYSERDA). Representatives from nine federal and state agencies from the United States and Canada participated, along with faculty and students from eight academic institutions. The workshop began with invited presentations on the possibilities and pitfalls of soil resampling by Arthur Johnson, University of Pennsylvania; Daniel Richter, Duke University; and Scott Bailey, USDA Forest Service. The next segment of the workshop involved discussions in which the mission of the cooperative was defined and specific objectives were identified, such as the development and sharing of field and laboratory protocols, the compilation of an inventory of historic and ongoing studies that could contribute information on soil change, and the design of a rigorous data collection program that will address emerging issues, as well as provide long-term continuity. Discussion followed on the steps needed to accomplish these objectives, including how to design sampling plots, appropriate methods for soil collection, the need for shared reference samples, and the development of effective archiving protocols. An additional objective of the cooperative will be to synthesize available information on methods into recommendations that will be published as agency or institutional reports. On the second day of the workshop, task groups were formed to address a number of issues involving methods, compilation of available data, and identification of ongoing studies. A steering committee was formed to guide the ongoing development of the cooperative. A journal article that will serve as a literature review of soil resampling was also outlined by interested workshop participants. A second workshop is planned for late Fall 2007. Web site planning is in the early stages, but information is available at: Greg Lawrence (518) 285-5664 E-mail: glawrenc@usgs.gov or Scott Bailey (603) 535-3262 E-mail: swbailey@fs.fed.us

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,051
Score d'incertitude au seuil0,101

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0170,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0040,001
Communication savante0,0030,003
Science ouverte0,0030,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0210,007

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 Opus0,012
Tête enseignante GPT0,220
Écart entre enseignants0,208 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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

Citations0
Publié2007
Routes d'admission1
Résumé présentoui

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