A hierarchical, multivariate meta‐analysis approach to synthesising global change experiments-Reference-Cited by-同舟云学术

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A hierarchical, multivariate meta‐analysis approach to synthesising global change experiments

Published:2021-07-13 Issue:6 Volume:231 Page:2382-2394
ISSN:0028-646X
Container-title:New Phytologist
language:en
Short-container-title:New Phytol

Author:

Ogle Kiona¹^ORCID,Liu Yao²³^ORCID,Vicca Sara⁴^ORCID,Bahn Michael⁵^ORCID

Affiliation:

1. School of Informatics, Computing, and Cyber Systems Northern Arizona University Flagstaff AZ 86011 USA

2. Environmental Sciences Division and Climate Change Science Institute Oak Ridge National Laboratory Oak Ridge TN 37831 USA

3. Department of Geography and Environmental Sciences Northumbria University Newcastle upon Tyne NE1 8ST UK

4. Department of Biology University of Antwerp Wilrijk 2610 Belgium

5. Department of Ecology University of Innsbruck Innsbruck 6020 Austria

Publisher

Wiley

Subject

Plant Science,Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nph.17562

Reference64 articles.

1. Meta-analysis: synthesizing research findings in ecology and evolution

2. Does the growth response of woody plants to elevated CO2increase with temperature? A model-oriented meta-analysis

3. General Methods for Monitoring Convergence of Iterative Simulations

4. Stan: A Probabilistic Programming Language

5. Soil GHG fluxes are altered by N deposition: New data indicate lower N stimulation of the N 2 O flux and greater stimulation of the calculated C pools

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