scholarly journals An Implantable, Low-Power Instrumentation for the Long Term Monitoring of the Sleep of Animals under Natural Conditions

2019 ◽  
Author(s):  
Bertrand Massot ◽  
Niels C. Rattenborg ◽  
Anders Hedenstrom ◽  
Susanne Akesson ◽  
Paul-Antoine Libourel
Keyword(s):  
Low Power ◽  
Natural Conditions ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Long-term Monitoring of the Vegetation Cover of Mountain Territories in the GIS for Soil and Landscape Study of Territories

2021 ◽  
Vol 7 (3) ◽  
pp. 33-41
Author(s):  
G. Djalilova ◽  
F. Mamatkulova ◽  
Z. Mamatkulova
Keyword(s):  
Soil Erosion ◽  
Arable Land ◽  
Stable State ◽  
Soil Protection ◽  
Natural Conditions ◽  
The World ◽  
Common Process ◽  
Long Term Monitoring ◽  
Term Monitoring

Rational use of natural resources and preservation of environment in good conditions are the basis of stable state of the ecosystem. Mountain soil erosion is the most common process of degradation. Soil protection from erosion is becoming a global problem in the world, and in Uzbekistan, in particular. Natural conditions of the region create a potential danger of soil erosion. The reason for its manifestation is the misuse of land, non-compliance with necessary requirements for soil protection. In most cases, it is due to the location of homesteads and crops on erosion-prone soils that poorly protect soil from erosion, improper cultivation of soils on arable land, unregulated grazing of pastures, and damage to soil protective plantations.

scholarly journals Dynamics of gamma diversity and abundance of diurnal butterflies (Lepidoptera, Papilionoformes) in the Nizhny Novgorod Region (Russia) under anthropogenic changes in landscapes over the last hundred years

2021 ◽  
Vol 4 (4) ◽  
pp. 32-41
Author(s):  
Stanislav K. Korb
Keyword(s):  
Russian Regions ◽  
Gamma Diversity ◽  
Natural Conditions ◽  
Boreal Species ◽  
Long Term Monitoring ◽  
Near Future ◽  
First Time ◽  
Term Monitoring ◽  
Nizhny Novgorod Region

The hundred-year dynamics of gamma diversity and butterflies’ abundance have been assessed for the first time in Russia for the Nizhny Novgorod Region. According to analyzed data, we forecast that no significant change in the number of 104 species of butterflies is expected, the number of 33 species in the near future is likely to increase, and the number of 11 species will continue to decline in the near future. A decrease in abundance of 23 steppe and arcto-boreal species is also expected. The reasons for the decrease in the number of species are considered, supported by the long-term monitoring dataset. Extrapolation of our conclusions for Russian regions with similar conditions (Kirov, Ivanovsk, Vladimir, Kostroma, Penza, and Ulyanovsk regions and the Republics of Mari El, Chuvash, and Mordovia), taking into account the natural conditions of these areas, seems applicable and promising.

The Design of Low Power Vibration Detection System Based on MEMS

2012 ◽  
Vol 588-589 ◽  
pp. 1132-1135
Author(s):  
Pan Xing ◽  
Guang Yu Ou ◽  
Gao Yi
Keyword(s):  
Low Power ◽  
Detection System ◽  
Mass Storage ◽  
Precision Data ◽  
Vibration Detection ◽  
High Precision Data ◽  
Long Term Monitoring ◽  
Mems Device ◽  
Term Monitoring

The Design of Low Power Vibration Detection System Based on a three-axis accelerometer MEMS device, which can perform many functions: making long-term monitoring on the shock intensity in both vertical and horizontal directions, recording the shock peak and waveform. The system with STM32 processor, high-precision data acquisition, mass storage, USB and so on. Based on FatFS file system, the system concerned with the bad block management problems in NandFlash will be optimized and thus the reliability of the system will also improve.

Long-Term Monitoring of Smart City Assets via Internet of Things and Low-Power Wide-Area Networks

2021 ◽  
Vol 8 (1) ◽  
pp. 222-231
Author(s):  
Anthony S. Deese ◽  
Joe Jesson ◽  
Thomas Brennan ◽  
Steven Hollain ◽  
Patrick Stefanacci ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Smart City ◽  
Wide Area ◽  
Wide Area Networks ◽  
Long Term Monitoring ◽  
Term Monitoring

Simulation of phytomass productivity based on the optimum temperature for plant growth in a cold climate

Biologia ◽  
2009 ◽  
Vol 64 (3) ◽  
Author(s):  
Miloslav Šír ◽  
Ľubomír Lichner ◽  
Miroslav Tesař ◽  
Paul Hallett ◽  
Milena Martinková
Keyword(s):  
Plant Growth ◽  
Optimality Theory ◽  
Cold Climate ◽  
Optimum Temperature ◽  
Natural Conditions ◽  
The Czech Republic ◽  
Long Term Monitoring ◽  
Term Monitoring ◽  
Potential Transpiration

AbstractDuring long-term monitoring (more than 20 years) of the hydrologic regime at 20 mountainous sites in the Czech Republic (altitude 600–1400 m a.s.l.; vegetation season April-September; mean air temperature 8–10°C; mean total precipitation 400–700 mm; mean duration of sunshine 1100–1300 hours; mean potential transpiration 200–250 mm) it was found that plant temperature does not rise above about 25°C when plants transpire. According to the ecological optimality theory, the phytocenosis that is able to survive unfavourable conditions and produce the biggest amount of phytomass will prevail at sites occurring in long-term stable natural conditions. Simulation of phytomass productivity based on the optimum temperature for plant growth showed that plants with an optimum leaf temperature of about 25°C can survive the unfavourable conditions and produce the largest amount of phytomass at the site studied in the long-term.

Future Needs for Long-Term Monitoring Design

2003 ◽  
Author(s):  
Barbara S. Minsker ◽  
Charles Davis ◽  
David Dougherty ◽  
Gus Williams
Keyword(s):  
Monitoring Design ◽  
Future Needs ◽  
Long Term Monitoring ◽  
Term Monitoring
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