Literature DB >> 21797148

Shifting phenology and abundance under experimental warming alters trophic relationships and plant reproductive capacity.

Yinzhan Liu1, Peter B Reich, Guoyong Li, Shucun Sun.   

Abstract

Phenological mismatches due to climate change may have important ecological consequences. In a three-year study, phenological shifts due to experimental warming markedly altered trophic relationships between plants and insect herbivores, causing a dramatic decline of reproductive capacity for one of the plant species. In a Tibetan meadow, the gentian (Gentiana formosa) typically flowers after the peak larva density of a noctuid moth (Melanchra pisi) that primarily feeds on a dominant forb (anemone, Anemone trullifolia var. linearis). However, artificial warming of approximately 1.5 degrees C advanced gentian flower phenology and anemone vegetative phenology by a week, but delayed moth larvae emergence by two weeks. The warming increased larval density 10-fold, but decreased anemone density by 30%. The phenological and density shifts under warmed conditions resulted in the insect larvae feeding substantially on the gentian flowers and ovules; there was approximately 100-fold more damage in warmed than in unwarmed chambers. This radically increased trophic connection reduced gentian plant reproduction and likely contributed to its reduced abundance in the warmed chambers.

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Year:  2011        PMID: 21797148     DOI: 10.1890/10-2060.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  31 in total

1.  Predicting ecosystem shifts requires new approaches that integrate the effects of climate change across entire systems.

Authors:  Bayden D Russell; Christopher D G Harley; Thomas Wernberg; Nova Mieszkowska; Stephen Widdicombe; Jason M Hall-Spencer; Sean D Connell
Journal:  Biol Lett       Date:  2011-09-07       Impact factor: 3.703

2.  Spring- and fall-flowering species show diverging phenological responses to climate in the Southeast USA.

Authors:  Katelin D Pearson
Journal:  Int J Biometeorol       Date:  2019-02-08       Impact factor: 3.787

3.  Linkage between species traits and plant phenology in an alpine meadow.

Authors:  Yinzhan Liu; Guoyong Li; Xinwei Wu; Karl J Niklas; Zhongling Yang; Shucun Sun
Journal:  Oecologia       Date:  2021-01-10       Impact factor: 3.225

Review 4.  Examining Plant Physiological Responses to Climate Change through an Evolutionary Lens.

Authors:  Katie M Becklin; Jill T Anderson; Laci M Gerhart; Susana M Wadgymar; Carolyn A Wessinger; Joy K Ward
Journal:  Plant Physiol       Date:  2016-09-02       Impact factor: 8.340

5.  Domestic honeybees affect the performance of pre-dispersal seed predators in an alpine meadow.

Authors:  Xinqiang Xi; Yuran Dong; Xingjun Tian; Haigen Xu; Qingping Zhou; Karl J Niklas; Shucun Sun
Journal:  Oecologia       Date:  2018-03-01       Impact factor: 3.225

6.  Winter plant phenology in the alpine meadow on the eastern Qinghai-Tibetan Plateau.

Authors:  Li Mo; Peng Luo; Chengxiang Mou; Hao Yang; Jun Wang; Zhiyuan Wang; Yuejiao Li; Chuan Luo; Ting Li; Dandan Zuo
Journal:  Ann Bot       Date:  2018-11-30       Impact factor: 4.357

7.  Toward a phenological mismatch in estuarine pelagic food web?

Authors:  Xavier Chevillot; Hilaire Drouineau; Patrick Lambert; Laure Carassou; Benoit Sautour; Jérémy Lobry
Journal:  PLoS One       Date:  2017-03-29       Impact factor: 3.240

8.  Quantification of adulteration in traded ayurvedic raw drugs employing machine learning approaches with DNA barcode database.

Authors:  Suma Arun Dev; Remya Unnikrishnan; R Jayaraj; P Sujanapal; V Anitha
Journal:  3 Biotech       Date:  2021-10-18       Impact factor: 2.406

9.  Simulated climate warming alters phenological synchrony between an outbreak insect herbivore and host trees.

Authors:  Ezra G Schwartzberg; Mary A Jamieson; Kenneth F Raffa; Peter B Reich; Rebecca A Montgomery; Richard L Lindroth
Journal:  Oecologia       Date:  2014-06-03       Impact factor: 3.225

10.  The efficacy of machine learning algorithm for raw drug authentication in Coscinium fenestratum (Gaertn.) Colebr. employing a DNA barcode database.

Authors:  Remya Unnikrishnan; M Sumod; R Jayaraj; P Sujanapal; Suma Arun Dev
Journal:  Physiol Mol Biol Plants       Date:  2021-03-15
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