Literature DB >> 32475002

Three-dimensional change in temperature sensitivity of northern vegetation phenology.

Mengdi Gao1, Xuhui Wang1, Fandong Meng1, Qiang Liu1, Xiangyi Li1, Yuan Zhang1, Shilong Piao1,2,3.   

Abstract

Understanding how the temperature sensitivity of phenology changes with three spatial dimensions (altitude, latitude, and longitude) is critical for the prediction of future phenological synchronization. Here we investigate the spatial pattern of temperature sensitivity of spring and autumn phenology with altitude, latitude, and longitude during 1982-2016 across mid- and high-latitude Northern Hemisphere (north of 30°N). We find distinct spatial patterns of temperature sensitivity of spring phenology (hereafter "spring ST ") among altitudinal, latitudinal, and longitudinal gradient. Spring ST decreased with altitude mostly over eastern Europe, whereas the opposite occurs in eastern North America and the north China plain. Spring ST decreased with latitude mainly in the boreal regions of North America, temperate Eurasia, and the arid/semi-arid regions of Central Asia. This distribution may be related to the increased temperature variance, decreased precipitation, and radiation with latitude. Compared to spring ST , the spatial pattern of temperature sensitivity of autumn phenology (hereafter "autumn ST ") is more heterogeneous, only showing a clear spatial pattern of autumn ST along the latitudinal gradient. Our results highlight the three-dimensional view to understand the phenological response to climate change and provide new metrics for evaluating phenological models. Accordingly, establishing a dense, high-quality three-dimensional observation system of phenology data is necessary for enhancing our ability to both predict phenological changes under changing climatic conditions and to facilitate sustainable management of ecosystems.
© 2020 John Wiley & Sons Ltd.

Keywords:  altitude; autumn phenology; latitude; longitude; spring phenology; temperature sensitivity

Mesh:

Year:  2020        PMID: 32475002     DOI: 10.1111/gcb.15200

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


  3 in total

1.  Spatial Difference of Interactive Effect Between Temperature and Daylength on Ginkgo Budburst.

Authors:  Zhaofei Wu; Shuxin Wang; Yongshuo H Fu; Yufeng Gong; Chen-Feng Lin; Yun-Peng Zhao; Janet S Prevéy; Constantin Zohner
Journal:  Front Plant Sci       Date:  2022-05-10       Impact factor: 6.627

2.  A comparison of herbarium and citizen science phenology datasets for detecting response of flowering time to climate change in Denmark.

Authors:  Natalie Iwanycki Ahlstrand; Richard B Primack; Anders P Tøttrup
Journal:  Int J Biometeorol       Date:  2022-03-02       Impact factor: 3.738

3.  Phenological response to temperature variability and orography in Central Italy.

Authors:  P B Cerlini; M Saraceni; F Orlandi; L Silvestri; M Fornaciari
Journal:  Int J Biometeorol       Date:  2021-11-30       Impact factor: 3.738

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.