Diversity and Spatiotemporal Dynamics of Fungal Communities in the Rhizosphere Soil of Cotton in the Arid Region of Northwest China

2021 ◽  
Author(s):  
YingWu Shi ◽  
HongMei Yang ◽  
Ming Chu ◽  
XinXiang Niu ◽  
XiangDong Huo ◽  
...  
2021 ◽  
Author(s):  
Xiaojing Liu ◽  
Yajiao Zhao ◽  
Changchun Tong ◽  
Yong Wu

Abstract Aims Semi-arid region in northwest China is characterized by barren soil, high soil pH and high carbonate content.Methods In order to improve the soil health status in this area, we studied the effects of alfalfa/oat intercropping on rhizosphere soil nutrients and bacterial community by Illumina MiSeq technology in the 3rd year.Results The results showed that SOM significantly increased in the rhizosphere soil of intercropped compared with monoculture. AN, AP and AK of intercropping were significantly higher than those of monoculture of oat. Bacterial reads number, population taxonomic unit, richness and diversity all showed that intercropping were greater than monoculture. In terms of bacterial phylum, Proteobacteria, Bacteroidetes, Chloroflexi, Actinobacteria, Planctomycetes and Acidobacteria were dominant populations. The abundances of Proteobacteria, Acidobacteria, Cyanobacteria and Gemmatimonadetes were greater in intercropping systems than that in monoculture systems. At genus level, Opitutus, Pseudomonas, Gemmatimonas and Flavobacterium in intercropping were all higher than those in monoculture. At the same time, proteobacteria, bacteroidetes and actinobacteria were significantly positively correlated with SOM, TN and AN.Conclusions This result indicated that alfalfa/oat intercropping can reduce the pH and significantly improve the microbial environment and nutrients of rhizosphere soil in northwest semi-arid region. Meanwhile, the rhizosphere soil microbial community and nutrients interact and regulate each other. Therefore, alfalfa/oat intercropping is an effective measure that improve soil environment in northwest semi-arid region.


2020 ◽  
Vol 12 (3) ◽  
pp. 1198
Author(s):  
Yuanyue Pi ◽  
Yang Yu ◽  
Yuqing Zhang ◽  
Changchun Xu ◽  
Ruide Yu

Studying the dynamic changes of extreme temperatures and associated large-scale atmospheric circulation is important for predicting the occurrence of extreme temperatures and reducing their adverse impact and damage. Based on the surface temperature data sets collected from 87 weather stations over the arid region of Northwest China (ARNC) during 1960–2017, the Sen’s slope estimator, Mann–Kendall test, Cumulative anomaly, Moving t-test, and Synthetic analysis methods were used to analyze the spatiotemporal dynamics and breaking-point change characteristics of extreme temperatures, and to discuss its associated large-scale atmospheric circulation. The results revealed that at the temporal scale, summer days (SU25), warm days (TX90p), warm nights (TN90p), and warm spell duration indicator (WSDI) showed a remarkable increasing trend at the rates of 2.27, 1.49, 3, and 2.28 days/decade, respectively. The frost days (FD), cold days (TX10p), cold nights (TN10p), and cold spell duration indicator (CSDI) significantly decreased at the rates of −3.71, −0.86, −1.77, and −0.76 days/decade, respectively, during the study period. Spatially, the warming trend in the study area is very obvious as a whole, despite pronounced spatial differences in warming rate. After the breakpoint years, the frequency and probability distribution for extreme warm and cold indices were all inclined to the hotter part of the density distribution. This indicates that the climate over the study region shifted sharply and tended to be warmer. The analysis of large-scale atmospheric circulation indicates that the warming trend in the arid region of Northwest China (ARNC) is positively correlated with geopotential height at 500 hPa and negatively correlated with total cloudiness. The findings from this study have important implications for forecasting extreme temperature events and mitigating the impacts of climatological disasters in this region.


2021 ◽  
Vol 13 (7) ◽  
pp. 1230
Author(s):  
Simeng Wang ◽  
Qihang Liu ◽  
Chang Huang

Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and a recently published climate extremes dataset (HadEX3) to study the temporal and spatial evolution of vegetation cover, and its responses to climate extremes in the arid region of northwest China (ARNC). Mann-Kendall test, Anomaly analysis, Pearson correlation analysis, Time lag cross-correlation method, and Least absolute shrinkage and selection operator logistic regression (Lasso) were conducted to quantitatively analyze the response characteristics between Normalized Difference Vegetation Index (NDVI) and climate extremes from 2000 to 2018. The results showed that: (1) The vegetation in the ARNC had a fluctuating upward trend, with vegetation significantly increasing in Xinjiang Tianshan, Altai Mountain, and Tarim Basin, and decreasing in the central inland desert. (2) Temperature extremes showed an increasing trend, with extremely high-temperature events increasing and extremely low-temperature events decreasing. Precipitation extremes events also exhibited a slightly increasing trend. (3) NDVI was overall positively correlated with the climate extremes indices (CEIs), although both positive and negative correlations spatially coexisted. (4) The responses of NDVI and climate extremes showed time lag effects and spatial differences in the growing period. (5) Precipitation extremes were closely related to NDVI than temperature extremes according to Lasso modeling results. This study provides a reference for understanding vegetation variations and their response to climate extremes in arid regions.


Forests ◽  
2017 ◽  
Vol 8 (10) ◽  
pp. 379 ◽  
Author(s):  
Xiaohong Ma ◽  
Qi Feng ◽  
Tengfei Yu ◽  
Yonghong Su ◽  
Ravinesh Deo

2012 ◽  
Vol 112 (3-4) ◽  
pp. 589-596 ◽  
Author(s):  
Baofu Li ◽  
Yaning Chen ◽  
Xun Shi ◽  
Zhongsheng Chen ◽  
Weihong Li

2021 ◽  
Author(s):  
Tong Liu ◽  
Feng Xue

Abstract This study is designed to understand the community structure and diversity of fungi in the rhizosphere soil of grape. As the sample for this study, the rhizosphere soil of Crimson seedless grape with different planting years was collected from Shihezi in Xinjiang to carry out high-throughput sequencing, by which the complete sequence of soil fungi DNA was identified, and accordingly, the richness and diversity index of fungi were determined. The results showed that the dominant phyla of fungi in the grape rhizosphere soil with different planting years were Ascomycota and Basidiomycota, and the dominant classes of fungi were Sordariomycetes and Dothideomycetes. Soil organic matter, total potassium, total nitrogen and available phosphorus were the main soil fertility factors affecting the abundance and diversity of soil fungal communities, among which soil organic matter had the most significant influence. In addition, the fungal diversity and richness were highest in the middle layer (20-35 cm) of the grape rhizosphere soil with 12 planting years and lowest in the lower layer (35-50 cm) of the grape rhizosphere soil with 5 planting years. Linear discriminant analysis suggested that there were more biomarkers in the vineyard rhizosphere soil with 10 planting years, which meant there were more fungal communities with significant difference in the soil, especially in the middle layer (20-35). The results of this study can provide data reference and theoretical basis for improving vineyard soil quality, evaluating soil microecological effects and improving ecological environment of vineyard soil.


Sign in / Sign up

Export Citation Format

Share Document