Literature DB >> 26919189

Global vegetation productivity response to climatic oscillations during the satellite era.

Alemu Gonsamo1, Jing M Chen1, Danica Lombardozzi2.   

Abstract

Climate control on global vegetation productivity patterns has intensified in response to recent global warming. Yet, the contributions of the leading internal climatic variations to global vegetation productivity are poorly understood. Here, we use 30 years of global satellite observations to study climatic variations controls on continental and global vegetation productivity patterns. El Niño-Southern Oscillation (ENSO) phases (La Niña, neutral, and El Niño years) appear to be a weaker control on global-scale vegetation productivity than previously thought, although continental-scale responses are substantial. There is also clear evidence that other non-ENSO climatic variations have a strong control on spatial patterns of vegetation productivity mainly through their influence on temperature. Among the eight leading internal climatic variations, the East Atlantic/West Russia Pattern extensively controls the ensuing year vegetation productivity of the most productive tropical and temperate forest ecosystems of the Earth's vegetated surface through directionally consistent influence on vegetation greenness. The Community Climate System Model (CCSM4) simulations do not capture the observed patterns of vegetation productivity responses to internal climatic variations. Our analyses show the ubiquitous control of climatic variations on vegetation productivity and can further guide CCSM and other Earth system models developments to represent vegetation response patterns to unforced variability. Several winter time internal climatic variation indices show strong potentials on predicting growing season vegetation productivity two to six seasons ahead which enables national governments and farmers forecast crop yield to ensure supplies of affordable food, famine early warning, and plan management options to minimize yield losses ahead of time.
© 2016 John Wiley & Sons Ltd.

Keywords:  El Niño-Southern Oscillation; climatic oscillation; community climate system model; crop yield forecasting; normalized difference vegetation index; precipitation; radiation; remote sensing; teleconnection; temperature

Mesh:

Year:  2016        PMID: 26919189     DOI: 10.1111/gcb.13258

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  7 in total

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2.  Modes of climate variability bridge proximate and evolutionary mechanisms of masting.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-10-18       Impact factor: 6.237

3.  Inter-annual and decadal changes in teleconnections drive continental-scale synchronization of tree reproduction.

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Journal:  Nat Commun       Date:  2017-12-20       Impact factor: 14.919

4.  The Influences of Drought and Land-Cover Conversion on Inter-Annual Variation of NPP in the Three-North Shelterbelt Program Zone of China Based on MODIS Data.

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Journal:  PLoS One       Date:  2016-06-27       Impact factor: 3.240

5.  Climate change could threaten cocoa production: Effects of 2015-16 El Niño-related drought on cocoa agroforests in Bahia, Brazil.

Authors:  Lauranne Gateau-Rey; Edmund V J Tanner; Bruno Rapidel; Jean-Philippe Marelli; Stefan Royaert
Journal:  PLoS One       Date:  2018-07-10       Impact factor: 3.240

6.  Enhanced growth after extreme wetness compensates for post-drought carbon loss in dry forests.

Authors:  Peng Jiang; Hongyan Liu; Shilong Piao; Philippe Ciais; Xiuchen Wu; Yi Yin; Hongya Wang
Journal:  Nat Commun       Date:  2019-01-14       Impact factor: 14.919

7.  Understanding spatiotemporal patterns of global forest NPP using a data-driven method based on GEE.

Authors:  Siyang Yin; Wenjin Wu; Xuejing Zhao; Chen Gong; Xinwu Li; Lu Zhang
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240

  7 in total

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