4.6 Article

Variations in Growing-Season NDVI and Its Response to Permafrost Degradation in Northeast China

Journal

SUSTAINABILITY
Volume 9, Issue 4, Pages -

Publisher

MDPI AG
DOI: 10.3390/su9040551

Keywords

vegetation; NDVI; warming temperature; ground surface temperature; permafrost degradation

Funding

  1. National Basis Research Program of China (973 program) [2013CBA01807]
  2. National Natural Science Foundation of China [41371198]
  3. 123 Project of the China Environment Protect Foundation [CEPF2013-123-2-12]

Ask authors/readers for more resources

Permafrost is extremely sensitive to climate change. The degradation of permafrost has strong and profound effects on vegetation. The permafrost zone of northeastern China is the second largest region of permafrost in China and lies on the south edge of the Eurasian cryolithozone. This study analyzed the spatiotemporal variations of the growing-season Normalization Difference Vegetation Index (NDVI) in the permafrost zone of northeastern China and analyzed the correlation between NDVI and ground surface temperatures (GST) during the years 1981-2014. Mean growing-season NDVI (MGS-NDVI) experienced a marked increase of 0.003 year 1 across the entire permafrost zone. The spatial dynamics of vegetation cover had a high degree of heterogeneity on a per pixel scale. The MGS-NDVI value increased significantly (5% significance level) in 80.57%, and this increase was mostly distributed in permafrost zone except for the western steppe region. Only 7.72% experienced a significant decrease in NDVI, mainly in the cultivated and steppe portions. In addition, MGS-NDVI increased significantly with increasing growing-season mean ground surface temperature (GS-MGST). Our results suggest that a warming of GS-MGST (permafrost degradation) in the permafrost region of northeastern China played a positive role in increasing plant growth and activities. Although increasing ground surface temperature resulted in increased vegetation cover and growth in the short time of permafrost degradation, from the long term point of view, permafrost degradation or disappearance may weaken or even hinder vegetation activities.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Neurosciences

Left frontal eye field encodes sound locations during passive listening

Liwei Sun, Chunlin Li, Songjian Wang, Qian Si, Meng Lin, Ningyu Wang, Jun Sun, Hongjun Li, Ying Liang, Jing Wei, Xu Zhang, Juan Zhang

Summary: This study investigated the neural representation of sound locations in high-level regions using various analysis methods. The results showed that besides the auditory cortices, regions such as the intraparietal sulcus, superior parietal lobule, and frontal eye field were also activated to different extents by sound locations. Additionally, both hemispheres of the auditory cortices and the left frontal eye field exhibited a multivariate pattern representation of sound locations.

CEREBRAL CORTEX (2023)

Article Computer Science, Information Systems

Cost-efficient edge caching and Q-learning-based service selection policies in MEC

Menghui Wu, Jingjing Guo, Chunlin Li, Youlong Luo

Summary: The paper focuses on cache optimization and service selection algorithms in the cloud-edge environment. A cache optimization model based on popularity is proposed to solve the problem of cached content in edge servers considering factors such as energy consumption and cost. For service selection, a Q-learning-based algorithm is proposed to address the dynamic task allocation and Qos optimization in the edge computing environment. Experimental results show that the proposed algorithms can significantly improve cache hit ratio, minimize transmission overhead, and ensure server load balancing in the cloud-edge environment.

WIRELESS NETWORKS (2023)

Article Computer Science, Information Systems

Effective multi-controller management and adaptive service deployment strategy in multi-access edge computing environment

Qingzhe Zhang, Chunlin Li, Yong Huang, Youlong Luo

Summary: This paper proposes a framework for multi-access edge computing systems based on software-defined networking and a reliable placement method. It also introduces a mobile-aware service adaptive deployment method. Experimental results show that the proposed algorithm can optimize the quality of user experience.

AD HOC NETWORKS (2023)

Article Computer Science, Artificial Intelligence

DQN-enabled content caching and quantum ant colony-based computation offloading in MEC

Chunlin Li, Yong Zhang, Youlong Luo

Summary: Computation-intensive and time-delay-sensitive tasks are growing rapidly, leading to higher requirements for mobile user devices. To address this, a mobile edge computing system is needed. However, in this system, the lack of popular cached content in the edge server leads to delays and backhaul link load. To tackle this, this article proposes a content caching policy using DQN to optimize the caching scheme. Additionally, a quantum ant colony based computing offloading strategy is introduced to improve computing capacity and consider delay, energy consumption, and server cost.

APPLIED SOFT COMPUTING (2023)

Article Computer Science, Information Systems

Controller deployment based on network partition and collaborative scheduling on MEC

Chunlin Li, Yong Zhang, Youlong Luo

Summary: This paper introduces the impact of controller deployment solutions on the service quality of SDN and proposes a multi-controller deployment algorithm based on network partition and a collaborative task scheduling algorithm based on dependency relationship. The experiments show that both algorithms can effectively reduce latency and improve efficiency.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2023)

Article Biodiversity Conservation

How do natural and human factors influence ecosystem services changing? A case study in two most developed regions of China

Jieming Kang, Chunlin Li, Baolei Zhang, Jing Zhang, Meirui Li, Yuanman Hu

Summary: Understanding the mechanisms influencing changes in ecosystem services is crucial for sustainable ecosystem management. This study quantified six ecosystem services for the Yangtze River Delta and Pearl River Delta in 2000 and 2020. It identified the importance of different factors influencing these services and explored their spatial and temporal heterogeneity. The results showed a shift from natural factors to human factors dominating the regional ecosystem services. The study provides important scientific guidance for enhancing ecological sustainability in developed regions.

ECOLOGICAL INDICATORS (2023)

Review Chemistry, Applied

Recent advances in Chinese food authentication and origin verification using isotope ratio mass spectrometry

Chunlin Li, Xuming Kang, Jing Nie, An Li, Mohamed A. Farag, Cuiling Liu, Karyne M. Rogers, Jianbo Xiao, Yuwei Yuan

Summary: Over the last decade, isotope ratio mass spectrometry (IRMS) using multiple light stable isotopes has been widely applied in China for food origin verification and authentication. It has successfully characterized and identified Chinese food products, reducing fraud, improving food safety, and enhancing consumer trust and government regulatory policies.

FOOD CHEMISTRY (2023)

Article Engineering, Chemical

Enhanced mechanical stirring by eccentric impeller stirring system in zinc hydrometallurgy process for cadmium removal

Wenjie Li, Shibo Wang, Hua Wang, Chunlin Li, Yuling Zhai, Jianxin Xu, Qingtai Xiao

Summary: The effect of an eccentric impeller on fluid mixing efficiency was investigated through numerical simulations and experiments. The results showed that the eccentric impeller can improve purification efficiency and reduce energy consumption.

INTERNATIONAL JOURNAL OF CHEMICAL REACTOR ENGINEERING (2023)

Article Engineering, Chemical

Chaotic mixing properties under rotation plus revolution revealed by purification experiments and numerical simulations

Xinrui Dai, Chunlin Li, Shibo Wang, Hua Wang, Jianxin Xu, Qingtai Xiao, Yuewei Fan

Summary: The rotation plus revolution (RPR) stirring method achieves chaotic mixing by inducing a specific chaotic state in the fluid, which disrupts isolated mixing regions. RPR significantly improves reaction rates by increasing effective collision probabilities. Compared to eccentric rotation (ER) and orbital rotation (OR), RPR achieved a purification rate of 96.9% in 60 minutes, which was 37.8% and 35.1% higher, respectively. RPR also had higher energy utilization and lower unit ion purification energy compared to ER and OR, resulting in improved purification efficiency with reduced energy consumption.

JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS (2023)

Article Construction & Building Technology

Distribution patterns and influencing factors of population exposure risk to particulate matters based on cell phone signaling data

Chuyi Zhang, Yuanman Hu, Matthew D. Adams, Rencang Bu, Zaiping Xiong, Miao Liu, Yan Du, Binglun Li, Chunlin Li

Summary: In this study, the spatial-temporal characteristics of PM exposure risk in Shenyang were analyzed using landscape patterns and data from land use, cell phone signaling, and PM mobile monitoring. The results showed different spatial distributions of PM on weekdays and weekends, with lower exposure risk on weekends. The study also identified the key factors influencing PM exposure risks.

SUSTAINABLE CITIES AND SOCIETY (2023)

Article Construction & Building Technology

Quantifying the effects of 2D/3D urban landscape patterns on land surface temperature: A perspective from cities of different sizes

Hongchao Xu, Chunlin Li, Yuanman Hu, Shuai Li, Ruixue Kong, Zhibin Zhang

Summary: With the continuous development of urbanization, the 2D landscape pattern is insufficient to explain complex urban thermal phenomenon. The relationship between 2D/3D urban patterns and land surface temperature (LST) in cities of different sizes has been analyzed. The study found that with the increase in city size, LST gradually increased in summer and decreased in winter. Factors such as tree volume, mean tree height, and impervious surface patch index significantly influenced LST.

BUILDING AND ENVIRONMENT (2023)

Article Computer Science, Hardware & Architecture

Time-Aware Data Partition Optimization and Heterogeneous Task Scheduling Strategies in Spark Clusters

SenXing Lu, Mingming Zhao, Chunlin Li, Quanbing Du, Youlong Luo

Summary: This article proposes an efficient strategy to address the problems of data partitioning and job scheduling in the Spark framework. It introduces a balanced partitioning strategy for intermediate data and a task scheduling algorithm using a greedy strategy. Experimental results show that these strategies effectively improve system task processing efficiency and decrease overall task completion time.

COMPUTER JOURNAL (2023)

Article Materials Science, Multidisciplinary

Effects of Nd2O3 Doping Levels on the Sintering, Microstructures, and Dielectric Properties of MgO-Al2O3-SiO2 Glass-Ceramics

Chunlin Li, Xiaoshun Zhang, Yang Lu, Yiting Shan, Hongqing Zhou

Summary: The effects of Nd2O3 addition on the crystallinities, microstructures, and properties of MgO-Al2O3-SiO2 (MAS) glass-ceramics were studied. It was found that the addition of Nd2O3 allowed for complete sintering of the MAS at lower temperatures. Appropriate addition ratios increased the crystallinity and promoted the formation of Indialite, resulting in improved microstructure, reduced thermal expansion coefficient, and optimized dielectric properties. The best performance was achieved by adding 4 wt% Nd2O3 to the MAS sample and sintering at 1255 degrees C for 15 min, with a bulk density of 2.51 g cm(-3), epsilon(r) = 6.50, tan delta = 1.96 x 10(-3) (13 GHz), and CTE = 4.621 ppm degrees C-1.

PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE (2023)

Article Environmental Sciences

Quantitative estimation of the PM2.5 removal capacity and influencing factors of urban green infrastructure

Kongming Li, Chunlin Li, Yuanman Hu, Zaiping Xiong, Yongheng Wang

Summary: This study estimated the annual PM2.5 removal capacity of urban green infrastructure (UGI) from 2000 to 2019 in Shenyang and explored the effects of landscape patterns and socioeconomic variables on PM2.5 removal capacity. The results showed a significant increase in PM2.5 removal capacity of UGI in Shenyang, with spatial heterogeneity across the study area. Landscape metrics representing fragmentation and shape complexity positively affected the PM2.5 removal flux and removal rate, while aggregation metrics had negative correlations. Population density and GDP negatively affected the PM2.5 removal capacity of UGI.

SCIENCE OF THE TOTAL ENVIRONMENT (2023)

Article Computer Science, Information Systems

Low-latency controller load balancing strategy and offloading decision generation algorithm based on lyapunov optimization in SDN mobile edge computing environment

Shuai Chang, Chunlin Li, Chunping Deng, Youlong Luo

Summary: To address the issue of load balancing in multi-SDN controllers, a low-latency controller load balancing switch migration algorithm is proposed. It consists of a load monitoring module, a decision-making module, and a switch migration module. By migrating the switch with the highest load to a controller with better processing capacity and shorter distance, load balancing is achieved. Additionally, an offloading decision-generation algorithm based on Lyapunov optimization is proposed to consider the stability of the MEC system and maximize its profit while meeting stability and delay requirements.

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2023)

No Data Available