Literature DB >> 26483475

Deciduous forest responses to temperature, precipitation, and drought imply complex climate change impacts.

Yingying Xie1, Xiaojing Wang2, John A Silander3.   

Abstract

Changes in spring and autumn phenology of temperate plants in recent decades have become iconic bio-indicators of rapid climate change. These changes have substantial ecological and economic impacts. However, autumn phenology remains surprisingly little studied. Although the effects of unfavorable environmental conditions (e.g., frost, heat, wetness, and drought) on autumn phenology have been observed for over 60 y, how these factors interact to influence autumn phenological events remain poorly understood. Using remotely sensed phenology data from 2001 to 2012, this study identified and quantified significant effects of a suite of environmental factors on the timing of fall dormancy of deciduous forest communities in New England, United States. Cold, frost, and wet conditions, and high heat-stress tended to induce earlier dormancy of deciduous forests, whereas moderate heat- and drought-stress delayed dormancy. Deciduous forests in two eco-regions showed contrasting, nonlinear responses to variation in these explanatory factors. Based on future climate projection over two periods (2041-2050 and 2090-2099), later dormancy dates were predicted in northern areas. However, in coastal areas earlier dormancy dates were predicted. Our models suggest that besides warming in climate change, changes in frost and moisture conditions as well as extreme weather events (e.g., drought- and heat-stress, and flooding), should also be considered in future predictions of autumn phenology in temperate deciduous forests. This study improves our understanding of how multiple environmental variables interact to affect autumn phenology in temperate deciduous forest ecosystems, and points the way to building more mechanistic and predictive models.

Keywords:  Land-surface phenology; New England; dormancy date; frost

Mesh:

Year:  2015        PMID: 26483475      PMCID: PMC4640769          DOI: 10.1073/pnas.1509991112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

1.  Phenology. Responses to a warming world.

Authors:  J Peñuelas; I Filella
Journal:  Science       Date:  2001-10-26       Impact factor: 47.728

2.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

3.  Forecasting phenology: from species variability to community patterns.

Authors:  Jeffrey M Diez; Inés Ibáñez; Abraham J Miller-Rushing; Susan J Mazer; Theresa M Crimmins; Michael A Crimmins; C David Bertelsen; David W Inouye
Journal:  Ecol Lett       Date:  2012-03-21       Impact factor: 9.492

4.  Plant science. Phenology under global warming.

Authors:  Christian Körner; David Basler
Journal:  Science       Date:  2010-03-19       Impact factor: 47.728

Review 5.  Linking stress with macroscopic and microscopic leaf response in trees: new diagnostic perspectives.

Authors:  Madeleine S Günthardt-Goerg; Pierre Vollenweider
Journal:  Environ Pollut       Date:  2006-10-16       Impact factor: 8.071

6.  Responses of canopy duration to temperature changes in four temperate tree species: relative contributions of spring and autumn leaf phenology.

Authors:  Yann Vitasse; Annabel Josée Porté; Antoine Kremer; Richard Michalet; Sylvain Delzon
Journal:  Oecologia       Date:  2009-05-16       Impact factor: 3.225

7.  The seasonal timing of warming that controls onset of the growing season.

Authors:  James S Clark; Jerry Melillo; Jacqueline Mohan; Carl Salk
Journal:  Glob Chang Biol       Date:  2013-11-05       Impact factor: 10.863

8.  Genetic and environmental variation in spring and autumn phenology of biomass willows (Salix spp.): effects on shoot growth and nitrogen economy.

Authors:  Martin Weih
Journal:  Tree Physiol       Date:  2009-09-29       Impact factor: 4.196

9.  Consistent Group Identification and Variable Selection in Regression with Correlated Predictors.

Authors:  Dhruv B Sharma; Howard D Bondell; Hao Helen Zhang
Journal:  J Comput Graph Stat       Date:  2013-04-01       Impact factor: 2.302

10.  The molecular chaperone binding protein BiP prevents leaf dehydration-induced cellular homeostasis disruption.

Authors:  Humberto H Carvalho; Otávio J B Brustolini; Maiana R Pimenta; Giselle C Mendes; Bianca C Gouveia; Priscila A Silva; José Cleydson F Silva; Clenilso S Mota; Juliana R L Soares-Ramos; Elizabeth P B Fontes
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

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  9 in total

1.  Changes in urban plant phenology in the Pacific Northwest from 1959 to 2016: anthropogenic warming and natural oscillation.

Authors:  Briana C Lindh; Kees A McGahan; Wilbur L Bluhm
Journal:  Int J Biometeorol       Date:  2018-06-18       Impact factor: 3.787

Review 2.  Rethinking false spring risk.

Authors:  Catherine J Chamberlain; Benjamin I Cook; Iñaki García de Cortázar-Atauri; Elizabeth M Wolkovich
Journal:  Glob Chang Biol       Date:  2019-05-06       Impact factor: 10.863

3.  Changes in vegetation phenology on the Mongolian Plateau and their climatic determinants.

Authors:  Lijuan Miao; Daniel Müller; Xuefeng Cui; Meihong Ma
Journal:  PLoS One       Date:  2017-12-21       Impact factor: 3.240

4.  Geographical and climatic gradients of evergreen versus deciduous broad-leaved tree species in subtropical China: Implications for the definition of the mixed forest.

Authors:  Jielin Ge; Zongqiang Xie
Journal:  Ecol Evol       Date:  2017-04-13       Impact factor: 2.912

5.  Spatiotemporal Variation of Osmanthus fragrans Phenology in China in Response to Climate Change From 1973 to 1996.

Authors:  Xianping Wang; Yinzhan Liu; Xin Li; Shibin He; Mingxing Zhong; Fude Shang
Journal:  Front Plant Sci       Date:  2022-01-20       Impact factor: 5.753

6.  The full annual carbon balance of a subtropical coniferous plantation is highly sensitive to autumn precipitation.

Authors:  Mingjie Xu; Huimin Wang; Xuefa Wen; Tao Zhang; Yuebao Di; Yidong Wang; Jianlei Wang; Chuanpeng Cheng; Wenjiang Zhang
Journal:  Sci Rep       Date:  2017-08-30       Impact factor: 4.379

7.  Satellite image fusion to detect changing surface permeability and emerging urban heat islands in a fast-growing city.

Authors:  Rajchandar Padmanaban; Avit K Bhowmik; Pedro Cabral
Journal:  PLoS One       Date:  2019-01-02       Impact factor: 3.240

8.  Change in Autumn Vegetation Phenology and the Climate Controls From 1982 to 2012 on the Qinghai-Tibet Plateau.

Authors:  Peng Li; Qiuan Zhu; Changhui Peng; Jing Zhang; Meng Wang; Junjun Zhang; Juhua Ding; Xiaolu Zhou
Journal:  Front Plant Sci       Date:  2020-01-15       Impact factor: 5.753

9.  Evolutionary dynamics of the leaf phenological cycle in an oak metapopulation along an elevation gradient.

Authors:  C Firmat; S Delzon; J-M Louvet; J Parmentier; A Kremer
Journal:  J Evol Biol       Date:  2017-11-14       Impact factor: 2.411

  9 in total

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