scholarly journals Temporal and spatial dynamics of the regions 1 and 2 Birkeland currents during substorms

2013 ◽  
Vol 118 (6) ◽  
pp. 3007-3016 ◽  
Author(s):  
L. B. N. Clausen ◽  
J. B. H. Baker ◽  
J. M. Ruohoniemi ◽  
S. E. Milan ◽  
J. C. Coxon ◽  
...  
Keyword(s):  
Spatial Dynamics ◽  
Temporal And Spatial ◽  
Birkeland Currents

scholarly journals Large-Scale Analysis of the Spatiotemporal Changes of Net Ecosystem Production in Hindu Kush Himalayan Region

2021 ◽  
Vol 13 (6) ◽  
pp. 1180
Author(s):  
Da Guo ◽  
Xiaoning Song ◽  
Ronghai Hu ◽  
Xinming Zhu ◽  
Yazhen Jiang ◽  
...  
Keyword(s):  
Large Scale ◽  
Net Primary Production ◽  
Carbon Sink ◽  
Carbon Sources ◽  
Spatial Dynamics ◽  
Tibet Plateau ◽  
Geostatistical Model ◽  
Hindu Kush ◽  
Temporal And Spatial ◽  
The Difference

The Hindu Kush Himalayan (HKH) region is one of the most ecologically vulnerable regions in the world. Several studies have been conducted on the dynamic changes of grassland in the HKH region, but few have considered grassland net ecosystem productivity (NEP). In this study, we quantitatively analyzed the temporal and spatial changes of NEP magnitude and the influence of climate factors on the HKH region from 2001 to 2018. The NEP magnitude was obtained by calculating the difference between the net primary production (NPP) estimated by the Carnegie–Ames Stanford Approach (CASA) model and the heterotrophic respiration (Rh) estimated by the geostatistical model. The results showed that the grassland ecosystem in the HKH region exhibited weak net carbon uptake with NEP values of 42.03 gC∙m−2∙yr−1, and the total net carbon sequestration was 0.077 Pg C. The distribution of NEP gradually increased from west to east, and in the Qinghai–Tibet Plateau, it gradually increased from northwest to southeast. The grassland carbon sources and sinks differed at different altitudes. The grassland was a carbon sink at 3000–5000 m, while grasslands below 3000 m and above 5000 m were carbon sources. Grassland NEP exhibited the strongest correlation with precipitation, and it had a lagging effect on precipitation. The correlation between NEP and the precipitation of the previous year was stronger than that of the current year. NEP was negatively correlated with temperature but not with solar radiation. The study of the temporal and spatial dynamics of NEP in the HKH region can provide a theoretical basis to help herders balance grazing and forage.

Temporal and spatial dynamics of arthropod groups in terrestrial subsurface habitats in central Portugal

Zoology ◽  
2021 ◽  
pp. 125931
Author(s):  
R.P. Eusébio ◽  
H. Enghoff ◽  
A. Solodovnikov ◽  
A. Michelsen ◽  
P. Barranco ◽  
...  
Keyword(s):  
Spatial Dynamics ◽  
Central Portugal ◽  
Temporal And Spatial ◽  
Terrestrial Subsurface

Temporal and spatial dynamics of watermelon gummy stem blight epidemics

2010 ◽  
Vol 128 (4) ◽  
pp. 473-482 ◽  
Author(s):  
Adalberto C. Café-Filho ◽  
Gil R. Santos ◽  
Francisco F. Laranjeira
Keyword(s):  
Spatial Dynamics ◽  
Stem Blight ◽  
Gummy Stem Blight ◽  
Temporal And Spatial

Impactul activităților umane asupra stării peisajelor geografice din bazinul hidografic Cogâlnic în anii 2004-2014

2020 ◽  
Author(s):  
Nicolae Boboc ◽  
◽  
Valentina Munteanu ◽  
Keyword(s):  
Statistical Data ◽  
Environmental Changes ◽  
Spatial Dynamics ◽  
Anthropogenic Pressure ◽  
Human Pressure ◽  
Republic Of Moldova ◽  
Temporal And Spatial ◽  
The Republic ◽  
High Degree

The high degree of land use in the Republic of Moldova as a whole, and the Cogâlnic river basin in particular, imposes the need to assess the quality of the environment and the characteristics of the anthropogenic pressure on the landscapes in temporal and spatial dynamics and to identifying an adequate of measure system for the purpose to maintain/restore the optimal structure and functioning of landscape systems. Based from the Land Cadastre on data, statistical data of population censuses, bibliographic and cartographic sources, a system, was appraised a system of indicators(of naturalness, of artificialization of landscapes, environmental changes) and quantified human pressure on the environment through agriculture and anthropogenic pressure on forest landscapes from the Cogâlnic catchment area. The values of the indices and the human pressure on the landscapes were processed using GIS techniques and elaborated cartographic models.

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