Analysis of spatio-temporal characteristics of <i>Populus euphratica</i> forests in the Yarkand River Basin, Xinjiang

Hualin, 李华林 Li; Liyan, 白林燕 Bai; Jianzhong, 冯建中 Feng; Huaduan, 高华端 Gao; Qiyun, 冉启云 Ran; Tao, 于涛 Yu; Wangwang, 高旺旺 Gao

doi:10.5846/stxb201811012364

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“…Populus euphratica (Salicaceae), an ancient, precious, endangered species, is a constructive tree in extremely arid areas [34]. P. euphratica is a vital part of the extreme drought ecosystem in this region due to its advantageous characteristics such as cold resistance, heat resistance, drought resistance, wind-sand resistance, and salt-alkali resistance [35]. In the upper Tarim River basin, since there it is less affected by the Ecological Water Conveyance Project than the lower Tarim River, the results on the response of P. euphratica phenology to climate change are more believable.…”

Section: Introductionmentioning

confidence: 99%

Populus euphratica Phenology and Its Response to Climate Change in the Upper Tarim River Basin, NW China

Feng

Bai

et al. 2021

Forests

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Quantifying the phenological variations of Populus euphratica Olivier (P. euphratica) resulting from climate change is vital for desert ecosystems. There has previously been great progress in the influence of climate change on vegetation phenology, but knowledge of the variations in P. euphratica phenology is lacking in extremely arid areas. In this study, a modified method was proposed to explore P. euphratica phenology and its response to climate change using 18-year Global Land Surface Satellite (GLASS) leaf area index (LAI) time series data (2000–2017) in the upper Tarim River basin. The start of the growing season (SOS), length of the growing season (LOS), and end of the growing season (EOS) were obtained with the dynamic threshold method from the reconstructed growth time series curve by using the Savitzky–Golay filtering method. The grey relational analysis (GRA) method was utilized to analyze the influence between the phenology and the key climatic periods and factors. Importantly, we also revealed the positive and negative effects between interannual climate factors and P. euphratica phenology using the canonical correlation analysis (CCA) method, and the interaction between the SOS in spring and EOS in autumn. The results revealed that trends of P. euphratica phenology (i.e., SOS, EOS, and LOS) were not significant during the period from 2000–2017. The spring temperature and sunshine duration (SD) controlled the SOS, and the EOS was mainly affected by the temperature and SD from June–November, although the impacts of average relative humidity (RH) and precipitation (PR) on the SOS and EOS cannot be overlooked. Global warming may lead to SOS advance and EOS delay, and the increase in SD and PR may lead to earlier SOS and later EOS. Runoff was found to be a more key factor for controlling P. euphratica phenology than PR in this region.

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Section: Introductionmentioning

confidence: 99%