LeiPengTianEtAl2007

Référence

Lei, X., Peng, C., Tian, D., Sun, J. (2007) Meta-analysis and its application in global change research. Chinese Science Bulletin, 52(3):289-302. (Scopus )

Résumé

Meta-analysis is a quantitative synthetic research method that statistically integrates results from individual studies to find common trends and differences. With increasing concern over global change, meta-analysis has been rapidly adopted in global change research. Here, we introduce the methodologies, advantages and disadvantages of meta-analysis, and review its application in global climate change research, including the responses of ecosystems to global warming and rising CO2 and O3 concentrations, the effects of land use and management on climate change and the effects of disturbances on biogeochemistry cycles of ecosystem. Despite limitation and potential misapplication, meta-analysis has been demonstrated to be a much better tool than traditional narrative review in synthesizing results from multiple studies. Several methodological developments for research synthesis have not yet been widely used in global climate change researches such as cumulative meta-analysis and sensitivity analysis. It is necessary to update the results of meta-analysis on a given topic at regular intervals by including newly published studies. Emphasis should be put on multi-factor interaction and long-term experiments. There is great potential to apply meta-analysis to global climate change research in China because research and observation networks have been established (e.g. ChinaFlux and CERN), which create the need for combining these data and results to provide support for governments' decision making on climate change. It is expected that meta-analysis will be widely adopted in future climate change research. © 2007 Science in China Press.

Format EndNote

Vous pouvez importer cette référence dans EndNote.

Format BibTeX-CSV

Vous pouvez importer cette référence en format BibTeX-CSV.

Format BibTeX

Vous pouvez copier l'entrée BibTeX de cette référence ci-bas, ou l'importer directement dans un logiciel tel que JabRef .

@ARTICLE { LeiPengTianEtAl2007,
    AUTHOR = { Lei, X. and Peng, C. and Tian, D. and Sun, J. },
    TITLE = { Meta-analysis and its application in global change research },
    JOURNAL = { Chinese Science Bulletin },
    YEAR = { 2007 },
    VOLUME = { 52 },
    PAGES = { 289-302 },
    NUMBER = { 3 },
    ABSTRACT = { Meta-analysis is a quantitative synthetic research method that statistically integrates results from individual studies to find common trends and differences. With increasing concern over global change, meta-analysis has been rapidly adopted in global change research. Here, we introduce the methodologies, advantages and disadvantages of meta-analysis, and review its application in global climate change research, including the responses of ecosystems to global warming and rising CO2 and O3 concentrations, the effects of land use and management on climate change and the effects of disturbances on biogeochemistry cycles of ecosystem. Despite limitation and potential misapplication, meta-analysis has been demonstrated to be a much better tool than traditional narrative review in synthesizing results from multiple studies. Several methodological developments for research synthesis have not yet been widely used in global climate change researches such as cumulative meta-analysis and sensitivity analysis. It is necessary to update the results of meta-analysis on a given topic at regular intervals by including newly published studies. Emphasis should be put on multi-factor interaction and long-term experiments. There is great potential to apply meta-analysis to global climate change research in China because research and observation networks have been established (e.g. ChinaFlux and CERN), which create the need for combining these data and results to provide support for governments' decision making on climate change. It is expected that meta-analysis will be widely adopted in future climate change research. © 2007 Science in China Press. },
    COMMENT = { Cited By (since 1996): 8 Export Date: 14 May 2012 Source: Scopus CODEN: CSBUE doi: 10.1007/s11434-007-0046-y },
    ISSN = { 10016538 (ISSN) },
    KEYWORDS = { Global climate change, Meta-analysis },
    OWNER = { Luc },
    TIMESTAMP = { 2012.05.14 },
    URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-33847259280&partnerID=40&md5=798078daf5561aaf1f7fcdf0fb8b1779 },
}

********************************************************** *************************** FRQNT ************************ **********************************************************

Un regroupement stratégique du

********************************************************** ***************** Facebook Twitter *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - ABC CBA 2020 ****************** **********************************************************

31 mai au 4 juin 2020

********************************************************** ***************** Pub - Symphonies_Boreales ****************** **********************************************************

********************************************************** ***************** Boîte à trucs *************** **********************************************************

CEF-Référence
La référence vedette !

Jérémie Alluard (2016) Les statistiques au moments de la rédaction 

  • Ce document a pour but de guider les étudiants à intégrer de manière appropriée une analyse statistique dans leur rapport de recherche.

Voir les autres...