SchnabelSchwarzDanescuEtAl2019

Référence

Schnabel, F., Schwarz, J.A., Dănescu, A., Fichtner, A., Nock, C.A., Bauhus, J., Potvin, C. (2019) Drivers of productivity and its temporal stability in a tropical tree diversity experiment. Global Change Biology, 25(12):4257-4272. (Scopus )

Résumé

There is increasing evidence that mixed-species forests can provide multiple ecosystem services at a higher level than their monospecific counterparts. However, most studies concerning tree diversity and ecosystem functioning relationships use data from forest inventories (under noncontrolled conditions) or from very young plantation experiments. Here, we investigated temporal dynamics of diversity–productivity relationships and diversity–stability relationships in the oldest tropical tree diversity experiment. Sardinilla was established in Panama in 2001, with 22 plots that form a gradient in native tree species richness of one-, two-, three- and five-species communities. Using annual data describing tree diameters and heights, we calculated basal area increment as the proxy of tree productivity. We combined tree neighbourhood- and community-level analyses and tested the effects of both species diversity and structural diversity on productivity and its temporal stability. General patterns were consistent across both scales indicating that tree–tree interactions in neighbourhoods drive observed diversity effects. From 2006 to 2016, mean overyielding (higher productivity in mixtures than in monocultures) was 25%–30% in two- and three-species mixtures and 50% in five-species stands. Tree neighbourhood diversity enhanced community productivity but the effect of species diversity was stronger and increased over time, whereas the effect of structural diversity declined. Temporal stability of community productivity increased with species diversity via two principle mechanisms: asynchronous responses of species to environmental variability and overyielding. Overyielding in mixtures was highest during a strong El Niño-related drought. Overall, positive diversity–productivity and diversity–stability relationships predominated, with the highest productivity and stability at the highest levels of diversity. These results provide new insights into mixing effects in diverse, tropical plantations and highlight the importance of analyses of temporal dynamics for our understanding of the complex relationships between diversity, productivity and stability. Under climate change, mixed-species forests may provide both high levels and high stability of production. © 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd

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 { SchnabelSchwarzDanescuEtAl2019,
    AUTHOR = { Schnabel, F. and Schwarz, J.A. and Dănescu, A. and Fichtner, A. and Nock, C.A. and Bauhus, J. and Potvin, C. },
    JOURNAL = { Global Change Biology },
    TITLE = { Drivers of productivity and its temporal stability in a tropical tree diversity experiment },
    YEAR = { 2019 },
    NOTE = { cited By 2 },
    NUMBER = { 12 },
    PAGES = { 4257-4272 },
    VOLUME = { 25 },
    ABSTRACT = { There is increasing evidence that mixed-species forests can provide multiple ecosystem services at a higher level than their monospecific counterparts. However, most studies concerning tree diversity and ecosystem functioning relationships use data from forest inventories (under noncontrolled conditions) or from very young plantation experiments. Here, we investigated temporal dynamics of diversity–productivity relationships and diversity–stability relationships in the oldest tropical tree diversity experiment. Sardinilla was established in Panama in 2001, with 22 plots that form a gradient in native tree species richness of one-, two-, three- and five-species communities. Using annual data describing tree diameters and heights, we calculated basal area increment as the proxy of tree productivity. We combined tree neighbourhood- and community-level analyses and tested the effects of both species diversity and structural diversity on productivity and its temporal stability. General patterns were consistent across both scales indicating that tree–tree interactions in neighbourhoods drive observed diversity effects. From 2006 to 2016, mean overyielding (higher productivity in mixtures than in monocultures) was 25%–30% in two- and three-species mixtures and 50% in five-species stands. Tree neighbourhood diversity enhanced community productivity but the effect of species diversity was stronger and increased over time, whereas the effect of structural diversity declined. Temporal stability of community productivity increased with species diversity via two principle mechanisms: asynchronous responses of species to environmental variability and overyielding. Overyielding in mixtures was highest during a strong El Niño-related drought. Overall, positive diversity–productivity and diversity–stability relationships predominated, with the highest productivity and stability at the highest levels of diversity. These results provide new insights into mixing effects in diverse, tropical plantations and highlight the importance of analyses of temporal dynamics for our understanding of the complex relationships between diversity, productivity and stability. Under climate change, mixed-species forests may provide both high levels and high stability of production. © 2019 The Authors. Global Change Biology published by John Wiley & Sons Ltd },
    AFFILIATION = { Chair of Silviculture, Institute of Forest Sciences, University of Freiburg, Freiburg, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Systematic Botany and Functional Biodiversity, University of Leipzig, Leipzig, Germany; Thünen Institute of Forest Ecosystems, Eberswalde, Germany; Institute of Ecology, Leuphana University of Lüneburg, Lüneburg, Germany; Department of Renewable Resources, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, AB, Canada; Department of Biology, McGill University, Montreal, QC, Canada; Smithsonian Tropical Research Institute, Panama City, Panama },
    AUTHOR_KEYWORDS = { biodiversity; drought; ecosystem functioning; neighbourhood; overyielding; Sardinilla experiment; structural diversity; tree species diversity; tropical plantation forest },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1111/gcb.14792 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071745071&doi=10.1111%2fgcb.14792&partnerID=40&md5=4f97cd5a267be4df479a8f4fb2af6bf3 },
}

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

Un regroupement stratégique du

********************************************************** *********************** Infolettre *********************** **********************************************************

Abonnez-vous à
l'Infolettre du CEF!

********************************************************** ***************** Pub - Congrès Mycelium ****************** **********************************************************

Reporté en 2021

********************************************************** ***************** Pub - IWTT ****************** **********************************************************

Reporté en 2021

**********************************************************

***************** 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...