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Peatlands and the Carbon Cycle

2008· article· en· W2053979468 sur OpenAlexaffabout
R. Kelman Wieder, Josep G. Canadell, Juul Limpens, Tim R. Moore, Nigel T. Roulet, Gabriela Schaepman‐Strub

Notice bibliographique

RevueBulletin of the Ecological Society of America · 2008
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePeatlands and Wetlands Ecology
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésPeatBorealCarbon cycleEnvironmental scienceSubarctic climateSoil carbonClimate changeEarth system scienceBogGreenhouse gasPhysical geographyEcosystemEcologyGeographyEarth scienceSoil waterGeologySoil scienceArchaeology

Résumé

récupéré en direct d'OpenAlex

Peatlands and the Carbon Cycle—from Local Processes to Global Implications. The First International Symposium on Carbon in Peatland, held at Wageningen, The Netherlands, on 15–18 April 2007 〈http://www.peatnet.siu.edu/CC07MainPage.html〉 Boreal and subarctic peatland ecosystems cover ~3% of the earth's land surface and store 15–30% of the world's soil carbon (200–400 Pg) as peat, which constitutes a greater soil C density per square meter than any other terrestrial ecosystem. This large C pool, in addition to carbon in arctic soils, lies at higher latitudes that will experience significant climate change over the next century. Tropical peatlands also contain large C reservoirs, the stability of which is threatened by ongoing land use change. At the 2005 Ecological Society of America/INTECOL meeting in Montreal, PEATNET (an NSF-supported Research Coordination Network) extended a general invitation for workshop proposals on peatlands. A small workshop to focus on peatland C cycling, proposed by Juul Limpens and Gabriela Schaepman-Strub, morphed into a meeting with 180 participants from 18 countries. The meeting goals were: (1) to advance our understanding of peatland C cycling through integration across disciplines and research approaches, and (2) to move toward a synthetic picture of the past, present, and future role of peatlands in the global C cycle and climate system, recognizing the potential for large feedbacks as consequences of projected changes in climate and in management and land use patterns. To foster a common understanding, plenary presentations introduced larger poster sessions on thematic areas including ecosystem biogeochemistry, microbial, plant, ecosystem, and landscape ecology, ecohydrology, paleoecology, and climate modeling, and large-scale assessment through spatial upscaling. Examples from boreal, subarctic, and cool temperate peatland research dominated the meeting, but there were also a few presentations on tropical and arctic systems. Common themes ran through the meeting. The presence of massive peat deposits is a testament to the long-term historical function of peatlands as net sinks for atmospheric carbon, and hence to global cooling on millennial scales. Nonetheless, the contemporary net C sink in individual peatlands displays a large interannual variability, and more broadly there may be geographic differences and differences among peatland types in the C sink strength. Whether peatlands globally function as a net carbon sink today remains uncertain. When methane emissions and their associated radiative forcing are considered, the magnitude and direction of peatlands' influence on climate is even less certain. Accumulating evidence indicates that peatland C balances are strongly influenced by drought, water table drawdown, and enhanced atmospheric N deposition, in some cases diminishing the size of the net C sink, or converting a peatland to a source of atmospheric C. Two challenges emerged from the meeting: (1) effective upscaling of net CO2 and CH4 emissions from plots and sites to regional and global scales, and (2) integration of peatlands into coupled carbon–climate modeling efforts. Most of the land surface schemes of global climate models that now include a formal representation of the C cycle do not include a realistic representation of the organic soils of peatlands. A few groups are working on this integration, but peatland researchers need to develop closer collaborations with the carbon–climate community to effectively incorporate peatlands into the next generation of earth system models. This integration needs to link peatland CO2 and CH4 cycling with ecohydrology, changing temperature regimes, changing atmospheric N deposition, ongoing permafrost melt, and fire impacts, the effects of which may differ among peatland types. PEATNET is sponsoring a workshop on Why is there Peat?, which will be held at Villanova University, 26–29 March 2008. The Second International Symposium on Carbon in Peatlands will be held in Prague, The Czech Republic, on 16–19 May 2009. Check the PEATNET web site for updates 〈http://www.peatnet.siu.edu/〉 Information from the First International Symposium on Carbon in Peatlands is being disseminated through a special issue in the European Geosciences Union Biogeosciences Interactive Open Access Journal 〈http://www.biogeosciences.net/special_issue30.html〉

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,053
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,003
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,006
Tête enseignante GPT0,183
Écart entre enseignants0,177 · 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.

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

Citations6
Publié2008
Routes d'admission2
Résumé présentoui

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