Thermal tolerance and routine oxygen consumption of convict cichlid, Archocentrus nigrofasciatus, acclimated to constant temperatures (20 °C and 30 °C) and a daily temperature cycle (20 °C → 30 °C)

2021 ◽  
Vol 191 (3) ◽  
pp. 479-491
Author(s):  
Cassidy J. Cooper ◽  
William B. Kristan ◽  
John Eme
Keyword(s):  
Oxygen Consumption ◽  
Thermal Tolerance ◽  
Daily Temperature ◽  
Temperature Cycle ◽  
Convict Cichlid ◽  
Archocentrus Nigrofasciatus ◽  
C 30

scholarly journals Estimation of seasonal boundaries using temperature data: a case of northwest part of Bangladesh

2020 ◽  
Vol 6 (1) ◽  
pp. 50-62
Author(s):  
Syed Mustafizur Rahman ◽  
Syed Mahbubur Rahman ◽  
Md. Shuzon Ali ◽  
Md. Abdullah Al Mamun ◽  
Md. Nezam Uddin
Keyword(s):  
Spectral Analysis ◽  
Crop Productivity ◽  
Temperature Data ◽  
Daily Temperature ◽  
Temperature Cycle ◽  
Local Climate ◽  
Higher Power ◽  
Cycle Plays ◽  
Maximum Temperatures ◽  
Harmonic Analyses

Abstract Seasons are the divisions of the year into months or days according to the changes in weather, ecology and the intensity of sunlight in a given region. The temperature cycle plays a major role in defining the meteorological seasons of the year. This study aims at investigating seasonal boundaries applying harmonic analysis in daily temperature for the duration of 30 years, recorded at six stations from 1988 to 2017, in northwest part of Bangladesh. Year by year harmonic analyses of daily temperature data in each station have been carried out to observe temporal and spatial variations in seasonal lengths. Periodic nature of daily temperature has been investigated employing spectral analysis, and it has been found that the estimated periodicities have higher power densities of the frequencies at 0.0027 and 0.0053 cycles/day. Some other minor periodic natures have also been observed in the analyses. Using the frequencies between 0.0027 to 0.0278 cycles/day, the observed periodicities in spectral analysis, harmonic analyses of minimum and maximum temperatures have found four seasonal boundaries every year in each of the stations. The estimated seasonal boundaries for the region fall between 19-25 February, 19-23 May, 18-20 August and 17-22 November. Since seasonal variability results in imbalance in water, moisture and heat, it has the potential to significantly affect agricultural production. Hence, the seasons and seasonal lengths presented in this research may help the concerned authorities take measures to reduce the risks for crop productivity to face the challenges arise from changing climate. Moreover, the results obtained are likely to contribute in introducing local climate calendar.

scholarly journals Basal tolerance to heat and cold exposure of the spotted wing drosophila,Drosophila suzukii

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3112 ◽  
Author(s):  
Thomas Enriquez ◽  
Hervé Colinet
Keyword(s):  
High Temperatures ◽  
Heat Tolerance ◽  
Thermal Tolerance ◽  
Abiotic Factors ◽  
Methodological Approach ◽  
Spotted Wing Drosophila ◽  
Basic Knowledge ◽  
Drosophila Suzukii ◽  
Cold Tolerant ◽  
C 30

The spotted wing Drosophila,Drosophila suzukii, is a new pest in Europe and America which causes severe damages, mostly to stone fruit crops. Temperature and humidity are among the most important abiotic factors governing insect development and fitness. In many situations, temperature can become stressful thus compromising survival. The ability to cope with thermal stress depends on basal level of thermal tolerance. Basic knowledge on temperature-dependent mortality ofD. suzukiiis essential to facilitate management of this pest. The objective of the present study was to investigateD. suzukiibasal cold and heat tolerance. Adults and pupae were subjected to six low temperatures (−5–7.5 °C) and seven high temperatures (30–37 °C) for various durations, and survival-time-temperature relationships were investigated. Data showed that males were globally more cold tolerant than females. At temperature above 5 °C, adult cold mortality became minor even after prolonged exposures (e.g., only 20% mortality after one month at 7.5 °C). Heat tolerance of males was lower than that of females at the highest tested temperatures (34, 35 and 37 °C). Pupae appeared much less cold tolerant than adults at all temperatures (e.g., Lt50at 5° C: 4–5 d for adultsvs.21 h for pupae). Pupae were more heat tolerant than adults at the most extreme high temperatures (e.g., Lt50at 37 °C: 30 min for adultsvs.4 h for pupae). The pupal thermal tolerance was further investigated under lowvs.high humidity. Low relative humidity did not affect pupal cold survival, but it reduced survival under heat stress. Overall, this study shows that survival ofD. suzukiiunder heat and cold conditions can vary with stress intensity, duration, humidity, sex and stage, and the methodological approach used here, which was based on thermal tolerance landscapes, provides a comprehensive description ofD. suzukiithermal tolerance and limits.

scholarly journals Daily Temperature Cycle Induces Daily Hatching Rhythm in Eastern Lubber Grasshoppers,Romalea microptera

2013 ◽  
Vol 22 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Amanda R. Smith ◽  
Ashley Nowak ◽  
Patrick Wagner ◽  
Rebekah Yates ◽  
Elise Janci ◽  
...  
Keyword(s):  
Daily Temperature ◽  
Temperature Cycle

Thermal tolerance and oxygen consumption rates of the catfish Horabagrus brachysoma (Günther) acclimated to different temperatures

Aquaculture ◽  
2009 ◽  
Vol 295 (1-2) ◽  
pp. 116-119 ◽  
Author(s):  
Rishikesh S. Dalvi ◽  
Asim K. Pal ◽  
Lalchand R. Tiwari ◽  
Tilak Das ◽  
Kartik Baruah
Keyword(s):  
Oxygen Consumption ◽  
Thermal Tolerance ◽  
Consumption Rates ◽  
Different Temperatures

scholarly journals Diurnal temperature cycle deduced from extreme daily temperatures and impact over a surface reanalysis system

2015 ◽  
Vol 12 (1) ◽  
pp. 137-140 ◽  
Author(s):  
F. Besson ◽  
E. Bazile ◽  
C. Soci ◽  
J.-M. Soubeyroux ◽  
G. Ouzeau ◽  
...  
Keyword(s):  
Daily Temperature ◽  
Temperature Cycle ◽  
Extreme Temperatures ◽  
Temperature Analysis ◽  
Diurnal Temperature ◽  
Hourly Temperature ◽  
Observation Network ◽  
Temperature Observations ◽  
Analysis System ◽  
Extreme Daily Temperature

Abstract. Due to the evolution of the observation network, hourly 2 m temperature analysis performed by reanalysis systems shows temporal inhomogeneities. The observation network gap is less present for extreme daily temperature observations. In order to reduce inhomogeneities and enable a climatological use of temperature analysis, information from extreme temperatures could be useful. In this study, the diurnal temperature cycle has been reconstructed for stations which only record extreme temperatures. These new "pseudo" hourly temperature observations are then provided to the analysis system. Two methods have been used to deduce hourly temperatures from extremes and compared to real observations. The results have shown that using those new pseudo-observations as an input for two different reanalysis systems enables reducing the bias in temperature analysis.

scholarly journals Medidas de temperatura em ambiente interno usando a Plataforma Arduino

2020 ◽  
Vol 42 ◽  
pp. 35
Author(s):  
Greice Scherer Ritter ◽  
Eliezer Oliveira Cavalheiro ◽  
Ronaldo Barcelos e Silva ◽  
Leonardo Da Rosa Schmidt ◽  
Silvana Maldaner
Keyword(s):  
Environmental Conditions ◽  
Low Cost ◽  
Temperature Response ◽  
Measurement Range ◽  
Daily Temperature ◽  
Temperature Measurements ◽  
Temperature Cycle ◽  
Temperature Sensitive ◽  
Linear Temperature ◽  
Arduino Microcontroller

The paper presents the results of a study with temperature measurements using low cost sensors connected to an Arduino microcontroller. To perform the study, three sensors widely used for monitoring environmental conditions with Arduino. The selected sensors were the LM35DZ (analog sensor) and DHT11 and DHT22 (digital sensors). The LM35DZ sensor is a sensor known to be an analog sensor that has linear temperature response with voltage. The DHT11 sensor measures temperature and humidity simultaneously.  To measure temperature the DHT11 sensor uses a temperature-sensitive resistor and has a measurement range from 0 to 50 °C, with an uncertainty ± 2% ° C. The DHT22 has a measurement range  -40 to 80 ° C and an uncertainty ± 1% ° C.  Simultaneous temperature measurements with the three sensors showed good performance in indoor situations, showing the maximum and minimum temperatures of a daily temperature cycle.

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