Literature DB >> 27984640

Changes in flowering functional group affect responses of community phenological sequences to temperature change.

F D Meng1, L L Jiang1, Z H Zhang2, S J Cui1,3,4,5, J C Duan6, S P Wang1,3,4, C Y Luo2, Q Wang1,5, Y Zhou1,5, X E Li1, L R Zhang1, B W Li1,5, T Dorji1,3, Y N Li2, M Y Du7.   

Abstract

Our ability to predict how temperature modifies phenology at the community scale is limited by our lack of understanding of responses by functional groups of flowering plants. These responses differ among species with different life histories. We performed a reciprocal transplant experiment along four elevation gradients (e.g., 3,200, 3,400, 3,600 and 3,800 m) to investigate the effects of warming (transferred downward) and cooling (transferred upward) on plant flowering functional groups (FFGs) and community phenological sequences (i.e., seven phenological events). Warming significantly decreased early-spring-flowering (ESF) plant coverage and increased mid-summer-flowering plant (MSF) coverage, while cooling had the opposite effect. All community phenological events were advanced by warming and delayed by cooling except for the date of complete leaf-coloring, which showed the opposite response. Warming and cooling could cause greater advance or delay in early-season phenological events of the community through increased coverage of MSF species, and warming could delay late-season phenological events of the community by increased coverage of ESF species. These results suggested that coverage change of FFGs in the community induced by temperature change could mediate the responses of the community phenological events to temperature change in the future. The response of phenological events to temperature change at the species level may not be sufficient to predict phenological responses at the community-level due to phenological compensation between species in the community.
© 2016 by the Ecological Society of America.

Entities:  

Keywords:  Tibetan plateau; alpine meadow; community phenological sequences; flowering functional group; reciprocal translocation; temperature sensitivity; warming and cooling

Mesh:

Year:  2017        PMID: 27984640     DOI: 10.1002/ecy.1685

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


  6 in total

1.  Temperature leads to annual changes of plant community composition in alpine grasslands on the Qinghai-Tibetan Plateau.

Authors:  Hasbagan Ganjurjav; Elise S Gornish; Guozheng Hu; Yunfan Wan; Yue Li; Luobu Danjiu; Qingzhu Gao
Journal:  Environ Monit Assess       Date:  2018-09-12       Impact factor: 2.513

2.  Diversity of plant assemblages dampens the variability of the growing season phenology in wetland landscapes.

Authors:  Guillaume Rheault; Esther Lévesque; Raphaël Proulx
Journal:  BMC Ecol Evol       Date:  2021-05-19

3.  Among-population divergence in personality is linked to altitude in plateau pikas (Ochotona curzoniae ).

Authors:  Jiapeng Qu; Denis Réale; Quinn E Fletcher; Yanming Zhang
Journal:  Front Zool       Date:  2019-07-08       Impact factor: 3.172

4.  Divergent Responses of Community Reproductive and Vegetative Phenology to Warming and Cooling: Asymmetry Versus Symmetry.

Authors:  Fandong Meng; Lirong Zhang; Haishan Niu; Ji Suonan; Zhenhua Zhang; Qi Wang; Bowen Li; Wangwang Lv; Shiping Wang; Jichuang Duan; Peipei Liu; Wangmu Renzeng; Lili Jiang; Caiyun Luo; Tsechoe Dorji; Zhezhen Wang; Mingyuan Du
Journal:  Front Plant Sci       Date:  2019-10-17       Impact factor: 5.753

5.  Flowering Phenology Shifts in Response to Functional Traits, Growth Form, and Phylogeny of Woody Species in a Desert Area.

Authors:  Yan Wang; Xiao-Dong Yang; Arshad Ali; Guang-Hui Lv; Yan-Xin Long; Ya-Yun Wang; Yong-Gang Ma; Chang-Chun Xu
Journal:  Front Plant Sci       Date:  2020-05-06       Impact factor: 5.753

6.  Flowering season of vernal herbs is shortened at elevated temperatures with reduced precipitation in early spring.

Authors:  Bo Eun Nam; Jae Geun Kim
Journal:  Sci Rep       Date:  2020-10-15       Impact factor: 4.379

  6 in total

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