RivFishTIME: A global database of fish time‐series to study global change ecology in riverine systems

2020 ◽  
Vol 30 (1) ◽  
pp. 38-50
Author(s):  
Lise Comte ◽  
Juan Carvajal‐Quintero ◽  
Pablo A. Tedesco ◽  
Xingli Giam ◽  
Ulrich Brose ◽  
...  
Keyword(s):  
Time Series ◽  
Global Change ◽  
Global Database ◽  
Global Change Ecology ◽  
Riverine Systems

scholarly journals Moving forward in global-change ecology: capitalizing on natural variability

2013 ◽  
Vol 3 (1) ◽  
pp. 170-181 ◽  
Author(s):  
Inés Ibáñez ◽  
Elise S. Gornish ◽  
Lauren Buckley ◽  
Diane M. Debinski ◽  
Jessica Hellmann ◽  
...  
Keyword(s):  
Global Change ◽  
Natural Variability ◽  
Global Change Ecology

scholarly journals A time series forecasting of the proportion of SARS-CoV-2 N501Y lineage in North America

2021 ◽  
Author(s):  
Elena Quinonez ◽  
Majid Vahed ◽  
Abdolrazagh Hashemi Shahraki ◽  
Mehdi Mirsaeidi
Keyword(s):  
Time Series ◽  
North America ◽  
South African ◽  
Neutralizing Antibodies ◽  
Genomic Sequence ◽  
Natural Infection ◽  
Rapid Evolution ◽  
Neutralizing Antibody ◽  
Time Series Forecasting ◽  
Global Database

Introduction: The outbreak of pneumonia known as SARS-COV-2 and newly-emerging South African (B.1.351), the United Kingdom (B.1.1.7) and Brazil (P.1) variants have led to a more infectious virus and potentially more substantial loss of neutralizing activity by natural infection or vaccine-elicited antibodies. Methods: We identified prevalent mutations using the spike receptor-binding domain (S-RBD) of SARS-CoV-2 deposited in the Nextstrain global database and comparing them to the Wuhan-Hu-1/2019 genomic sequence as a reference. Then we calculated the percentages of mutant genomes from the total regional subsample isolates from December 2019 to the end of January 2021. We developed two separate time series forecasting models for the SARS-CoV-2 B.1.1.7 variant. The computational model used the structure of the S-RBD to examine its interactions with the neutralizing antibody, named CV30 (isolated from a patient), and human angiotensin-converting enzyme 2 (hACE-2), based on a hybrid algorithm of template-based modeling to predict the affinity of S protein to the neutralizing antibodies and hACE-2 receptor. Results: The proportion of the B.1.1.7 strain in North America is growing fast. From these computations, it seems that the S-RBD and hACE-2 proteins are less favorable for the South African strain (K417N, E484K, and N501Y) as compared to the wild type structure and more favorable for B.1.1.7 and P.1 variants. In the present of crystallized CV30 neutralizing antibodies, docking scores suggest antibodies can be partially neutralize the B.1.1.7 variant, and, less efficiently, the B.1.351 and P.1 variants. Conclusion: The rapid evolution of SARS-CoV-2 has the potential to allow the newly-emerged B.1.351, and P.1 variants to escape from natural or vaccine-induced neutralizing immunity and viral spreading.

Education and Literature for Development in Responsibility

2014 ◽  
pp. 526-584 ◽  
Author(s):  
Gilbert Ahamer ◽  
Karl A. Kumpfmüller
Keyword(s):  
Higher Education ◽  
Time Series ◽  
Quality Assurance ◽  
Global Change ◽  
Global Studies ◽  
Bibliometric Data ◽  
Higher Education Management ◽  
Publish Or Perish ◽  
Education Management ◽  
Transnational Higher Education

In order to propose quality assurance for cutting-edge transnational higher education management, this chapter first analyzes data on academic developmental journals while making use of the three widely known literature databases ISI Thomson, Scopus, and Google Scholar; the latter analyzed by the software Publish or Perish (PoP). Time series of data for documents and their citations provide indices; this chapter provides as most helpful indices the ISI impact factor, Scopus SNIP, and PoP AW index. A dozen of the most influential developmental journals are heuristically ranked by taking into account all available indices from all three literature databases. The series of historic bibliometric data since the 1950s shows the dynamics of the global emergence of developmental journals and developmental thought. Secondly, and as a possible template for similar initiatives in global higher education management, this chapter presents the recently established “Global Studies” (GS) Master’s curriculum at Graz University, Austria. Details on this novel curriculum’s targets, modules, courses, and practicals are given. GS embraces six modules and courses from different schools at university. Emphasis is placed on dialogic interdisciplinary understanding and interparadigmatic integration of multiple disciplines and perspectives, when managing education for the purpose of responsibly hedging and managing globalization and socio-economic global change in responsible partnership.

Time series analyses of global change data

1994 ◽  
Vol 83 (1-2) ◽  
pp. 63-68 ◽  
Author(s):  
L.J. Lane ◽  
M.H. Nichols ◽  
H.B. Osborn
Keyword(s):  
Time Series ◽  
Global Change ◽  
Time Series Analyses

scholarly journals Comprehensive Assessment of Performances of Long Time-Series LAI, FVC and GPP Products over Mountainous Areas: A Case Study in the Three-River Source Region, China

2021 ◽  
Vol 14 (1) ◽  
pp. 61
Author(s):  
Wenqi Zhang ◽  
Huaan Jin ◽  
Ainong Li ◽  
Huaiyong Shao ◽  
Xinyao Xie ◽  
...  
Keyword(s):  
Time Series ◽  
Global Change ◽  
Land Surface ◽  
Gross Primary Production ◽  
Source Region ◽  
Mountainous Areas ◽  
Area Index ◽  
Vegetation Activity ◽  
Long Time

Vegetation biophysical products offer unique opportunities to examine long-term vegetation dynamics and land surface phenology (LSP). It is important to understand the time-series performances of various global biophysical products for global change research. However, few endeavors have been dedicated to assessing the performances of long-term change characteristics or LSP extraction derived from different satellite products, especially in mountainous areas with highly fragmented and rugged surfaces. In this paper, we assessed the time-series characteristics and LSP detections of Global LAnd Surface Satellite (GLASS) leaf area index (LAI), fractional vegetation cover (FVC), and gross primary production (GPP) products across the Three-River Source Region (TRSR). The performances of products’ temporal agreements and their statistical relationship as a function of topographic indices and heterogeneous pixels, respectively, were investigated through intercomparison among three products during the period 2000 to 2018. The results show that the phenological differences between FVC and two other products are beyond 10 days over more than 35% of the pixels in TRSR. The long-term trend of FVC diverges significantly from GPP and LAI for 13.96% of the total pixels, and the percentages of mismatched pixels between FVC and two other products are 33.24% in the correlation comparison. Moreover, good agreements are observed between GPP and LAI, both in terms of LSP and interannual variations. Finally, the LSP and long-term dynamics of the three products exhibit poor performances on heterogeneous surfaces and complex topographic areas, which reflects the potential impacts of environmental factors and algorithmic imperfections on the quality and performances of different products. Our study highlights the spatiotemporal disparities in detections of surface vegetation activity in mountainous areas by using different biophysical products. Future global change studies may require multiple high-quality satellite products with long-term stability as data support.

scholarly journals Global change: Ecology must evolve

Nature ◽  
2013 ◽  
Vol 503 (7475) ◽  
pp. 191-192 ◽  
Author(s):  
Georgina Mace
Keyword(s):  
Global Change ◽  
Global Change Ecology

scholarly journals Detection and attribution of global change effects on river nutrient dynamics in a large Mediterranean basin

2015 ◽  
Vol 12 (13) ◽  
pp. 4085-4098 ◽  
Author(s):  
R. Aguilera ◽  
R. Marcé ◽  
S. Sabater
Keyword(s):  
Water Quality ◽  
Time Series ◽  
Global Change ◽  
Large Scale ◽  
Nutrient Dynamics ◽  
Anthropogenic Impacts ◽  
Spatial Scales ◽  
Phosphate Concentration ◽  
Dynamic Factor ◽  
The Impact

Abstract. Attributing changes in river water quality to specific factors is challenging because multiple factors act at different temporal and spatial scales, and it often requires examining long-term series of continuous data. Data consistency is sometimes hindered by the lack of observations of relevant water quality variables and the low and uneven sampling frequency that characterizes many water quality monitoring schemes. Nitrate and dissolved phosphate concentration time series (1980–2011) from 50 sampling stations across a large Mediterranean river basin were analyzed to disentangle the role of hydrology, land-use practices, and global climatic phenomena on the observed nutrient patterns, with the final aim of understanding how the different aspects of global change affected nutrient dynamics in the basin. Dynamic factor analysis (DFA) provided the methodological framework to extract underlying common patterns in nutrient time series with missing observations. Using complementary methods such as frequency and trend analyses, we sought to further characterize the common patterns and identify the drivers behind their variability across time and space. Seasonal and other cyclic patterns were identified as well as trends of increase or decrease of nutrient concentration in particular areas of the basin. Overall, the impact of global change, which includes both climate change and anthropogenic impacts, on the dynamics of nitrate concentration across the study basin was found to be a multifaceted process including regional and global factors, such as climatic oscillations and agricultural irrigation practices, whereas impacts on phosphate concentration seemed to depend more on local impacts, such as urban and industrial activities, and less on large-scale factors.

scholarly journals A global database of plant production and carbon exchange from global change manipulative experiments

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Jian Song ◽  
Jingyi Ru ◽  
Mengmei Zheng ◽  
Haidao Wang ◽  
Yongge Fan ◽  
...  
Keyword(s):  
Global Change ◽  
Carbon Cycling ◽  
Plant Production ◽  
Atmospheric Composition ◽  
Carbon Exchange ◽  
Terrestrial Carbon ◽  
Global Database ◽  
Precipitation Regimes ◽  
Manipulative Experiments ◽  
Global Change Scenarios

Abstract Numerous ecosystem manipulative experiments have been conducted since 1970/80 s to elucidate responses of terrestrial carbon cycling to the changing atmospheric composition (CO2 enrichment and nitrogen deposition) and climate (warming and changing precipitation regimes), which is crucial for model projection and mitigation of future global change effects. Here, we extract data from 2,242 publications that report global change manipulative experiments and build a comprehensive global database with 5,213 pairs of samples for plant production (productivity, biomass, and litter mass) and ecosystem carbon exchange (gross and net ecosystem productivity as well as ecosystem and soil respiration). Information on climate characteristics and vegetation types of experimental sites as well as experimental facilities and manipulation magnitudes subjected to manipulative experiments are also included in this database. This global database can facilitate the estimation of response and sensitivity of key terrestrial carbon-cycling variables under future global change scenarios, and improve the robust projection of global change‒terrestrial carbon feedbacks imposed by Earth System Models.

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