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

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1315
Author(s):  
Hualin Li ◽  
Jianzhong Feng ◽  
Linyan Bai ◽  
Jianjun Zhang

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.

2021 ◽  
Author(s):  
Hualin Li ◽  
Jianzhong Feng ◽  
Linyan bai ◽  
Jianjun Zhang

Abstract Quantifying the phenological variations of Populus euphratica (P. euphratica) resulting from climate change is vital for desert ecosystems in extremely arid regions. P. euphratica phenology and its response to climate change are lacking in extremely arid area. In this study, a modified method was proposed to explore P. euphratica phenology and its response to climate change using 15-year Global LAnd Surface Satellite (GLASS) leaf area index (LAI) time-series data (2002–2016) 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 correlation between the phenological features of P. euphratica and climatic 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 the SOS of P. euphratica was delayed by about 5.3 days/10a, while EOS was advanced by about 3.1 days/10a. The phenology of P. euphratica was extensively changed, with high spatial heterogeneity. Spring sunshine duration (SD) and average air temperature (AT) controlled the SOS and EOS, although the impacts of average relative humidity (RH) and precipitation (PR) on phenology cannot be overlooked. The SOS was positively correlated with the EOS, implying a later SOS may generally be accompanied by a later EOS. Global warming may lead to SOS advance and EOS delay, and the increase of SD may lead to later SOS and earlier EOS. Groundwater was found to be a key factor for controlling P. euphratica phenology than runoff in this region.


CATENA ◽  
2018 ◽  
Vol 166 ◽  
pp. 89-97 ◽  
Author(s):  
Dandan Wang ◽  
Zhitong Yu ◽  
Gang Peng ◽  
Chengyi Zhao ◽  
Jianli Ding ◽  
...  

2011 ◽  
Vol 400 (1-2) ◽  
pp. 1-9 ◽  
Author(s):  
Hui Tao ◽  
Marco Gemmer ◽  
Yungang Bai ◽  
Buda Su ◽  
Weiyi Mao

2014 ◽  
Vol 962-965 ◽  
pp. 703-709 ◽  
Author(s):  
Chong Zhi Xu ◽  
Qing Li ◽  
Wu Xu Wang

Populus euphratica Olive. as the skeleton of the desert riparian forest is a green barrier for protection oasis of the southern areas of Xinjiang. Degradation of P. euphratica forest is the concentrated expression of ecological vulnerability in the desert areas. In order to understand the residents cognition degree to the ecological value of P. euphratica forest and willingness to pay (WTP) for P. euphratica forest protection along the Tarim River Basin, The questionnaires and interview methods were used , the largest payment were estimated with contingent valuation method (CVM) and the main affecting factors were explored.The main conclusions showed that the residents income, education and cognition degree to the P. euphratica forest were significant impact on the maximum payment value; Different ecological environment, economic and social conditions along the Trim River Basin had a critical influence to payment options and the size of payment willingness for the residents; The maximum willingness to pay per capita of 53 groups, 13 groups, 34 groups amounted to 220.89 yuan / year, 499.08 yuan / year, 653.20 yuan / year, the per capita amount paid in descending order was 34 group > 13 group> 53 group.


2015 ◽  
Vol 3 (1) ◽  
pp. 31-45 ◽  
Author(s):  
Xiaoya Deng ◽  
Ai-hua Long ◽  
Hongbo Ling ◽  
Mingjiang Deng ◽  
Shouping Zhang

2012 ◽  
Vol 44 (5) ◽  
pp. 834-849 ◽  
Author(s):  
Zhaofei Liu ◽  
Zongxue Xu ◽  
Guobin Fu ◽  
Zhijun Yao

Two statistical downscaling models were used to downscale regional climate change scenarios, on the basis of the outputs of three general circulation models (GCMs) and three emission scenarios. Driven by these climate change scenarios, a distributed macro-scale hydrological model (the Variable Infiltration Capacity (VIC) model) was applied to assess the impact of climate change on hydrological processes in the headwater catchment (HC) of the Tarim River basin, China. The results showed that the HC tends to experience warmer and drier conditions under the combined climate change scenarios. The predictions show a decreasing trend of the runoff in the HC, driven by the combined climate change scenarios. The results predicted an increasing trend for winter runoff however, which was consistent with the forecasts from most previous studies on other locations such as the region of St Lawrence tributaries (Quebec, Canada) and the Willamette River Basin (Oregon, USA). There was an inconsistent intra-annual distribution of the changes in precipitation and runoff in the HC; these inconsistencies may be explained by increasing snowmelt runoff resulting from higher air temperature. It was concluded that uncertainties within different GCM outputs are more significant than emission scenarios in the assessment of the potential impact of climate change.


2007 ◽  
Vol 19 (4) ◽  
pp. 488-493 ◽  
Author(s):  
Ya-ning CHEN ◽  
Wei-hong LI ◽  
Chang-chun XU ◽  
Xin-ming HAO

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