scholarly journals Sudden cold temperature regulates the time-lag between plant CO<sub>2</sub> uptake and release

2013 ◽  
Vol 10 (11) ◽  
pp. 17939-17964
Author(s):  
M. Barthel ◽  
E. Cieraad ◽  
A. Zakharova ◽  
J. E. Hunt

Abstract. Since substrates for respiration are supplied mainly by recent photo-assimilates, there is a strong but time-lagged link between short-term above- and belowground carbon (C) cycling. However, regulation of this coupling by environmental variables is poorly understood. Whereas recent studies focussed on the effect of drought and shading on the link between above and belowground short-term C cycling, the effect of temperature remains unclear. We used a 13CO2 pulse-chase labelling experiment to investigate the effect of a sudden temperature change from 25 °C to 10 °C on the short-term coupling between assimilatory C uptake and respiratory loss. The study was done in the laboratory using two month old perennial rye-grass plants (

2014 ◽  
Vol 11 (5) ◽  
pp. 1425-1433 ◽  
Author(s):  
M. Barthel ◽  
E. Cieraad ◽  
A. Zakharova ◽  
J. E. Hunt

Abstract. Since substrates for respiration are supplied mainly by recent photo-assimilates, there is a strong but time-lagged link between short-term above- and belowground carbon (C) cycling. However, regulation of this coupling by environmental variables is poorly understood. Whereas recent studies focussed on the effect of drought and shading on the link between above- and belowground short-term C cycling, the effect of temperature remains unclear. We used a 13CO2 pulse-chase labelling experiment to investigate the effect of a sudden temperature change from 25 to 10 °C on the short-term coupling between assimilatory C uptake and respiratory loss. The study was done in the laboratory using two-month-old perennial rye-grass plants (Lolium perenne L.). After label application, the δ13C signal of respired shoot and root samples was analysed at regular time intervals using laser spectroscopy. In addition, δ13C was analysed in bulk root and shoot samples. Cold temperature (10 °C) reduced the short-term coupling between shoot and roots by delaying belowground transfer of recent assimilates and its subsequent respiratory use, as indicated by the δ13C signal of root respiration (δ13CRR). That is, the time lag from the actual shoot labelling to the first appearance of the label in 13CRR was about 1.5 times longer under cold temperature. Moreover, analysis of bulk shoot and root material revealed that plants at cold temperature invest relatively more carbon into respiration compared to growth or storage. While the whole plant C turnover increased under cold temperature, the turnover time of the labile C pool decreased, probably because less 13C is used for growth and/or storage. That is, (almost) all recent C remained in the labile pool serving respiration under these conditions. Overall, our results highlight the importance of temperature as a driver of C transport and relative C allocation within the plant–soil system.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3652 ◽  
Author(s):  
Donald T. Warren ◽  
Jennifer M. Donelson ◽  
Mark I. McCormick

The threat of predation, and the prey’s response, are important drivers of community dynamics. Yet environmental temperature can have a significant effect on predation avoidance techniques such as fast-start performance observed in marine fishes. While it is known that temperature increases can influence performance and behaviour in the short-term, little is known about how species respond to extended exposure during development. We produced a startle response in two species of damselfish, the lemon damselPomacentrus moluccensis,and the Ambon damselfishPomacentrus amboinensis,by the repeated use of a drop stimulus. We show that the length of thermal exposure of juveniles to elevated temperature significantly affects this escape responses.Short-term (4d) exposure to warmer temperature affected directionality and responsiveness for both species. After long-term (90d) exposure, onlyP. moluccensisshowed beneficial plasticity, with directionality returning to control levels. Responsiveness also decreased in both species, possibly to compensate for higher temperatures. There was no effect of temperature or length of exposure on latency to react, maximum swimming speed, or escape distance suggesting that the physical ability to escape was maintained. Evidence suggests that elevated temperature may impact some fish species through its effect on the behavioural responses while under threat rather than having a direct influence on their physical ability to perform an effective escape response.


2015 ◽  
Vol 87 (3) ◽  
pp. 1717-1726 ◽  
Author(s):  
JULIANA WOJCIECHOWSKI ◽  
ANDRÉ A. PADIAL

One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.


2011 ◽  
Vol 27 (3) ◽  
pp. 591-602 ◽  
Author(s):  
Tatiana Rodrigues de Araujo Teixeira ◽  
Oswaldo Gonçalves Cruz

This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables. The study analyzed reported dengue cases among the city's inhabitants, rainfall, Breteau index (for Aedes aegypti and Aedes albopictus), Gini index, and social development index. We conducted mapping and used the global Moran index to measure the indicators' spatial autocorrelation, which was positive for all variables. The generalized linear model showed a direct association between dengue incidence and rainfall, one-month rainfall time lag, Gini index, and Breteau index for A. albopictus. The conditional autoregressive model (CAR) showed a direct association with rainfall for four months of the year, rain time lag in July, and Gini index in February. The results demonstrate the importance of socio-environmental variables in the dynamics of dengue transmission and the relevance for the development of dengue control strategies.


2020 ◽  
Author(s):  
Jeff Clements ◽  
Kirti Ramesh ◽  
Jacob Nysveen ◽  
Sam Dupont ◽  
Fredrik Jutfelt

Startle response behaviours are important in predator avoidance and escape for a wide array of animals. For many marine invertebrates, however, startle response behaviours are understudied, and the effects of global change stressors on these responses are unknown. We exposed two size classes of blue mussels (Mytilus edulis × trossulus) to different combinations of temperature (15 and 19 °C) and pH (8.2 and 7.5 pHT) for three months and subsequently measured individual time to open following a tactile predator cue (i.e., startle response time) over a series of four consecutive trials. Time to open was highly repeatable on the short-term and decreased linearly across the four trials. Individuals from the larger size class had a shorter time to open than their smaller-sized counterparts. High temperature increased time to open compared to low temperature, while pH had no effect. These results suggest that bivalve time to open is repeatable, related to relative vulnerability to predation, and affected by temperature. Given that increased closure times impact feeding and respiration, the effect of temperature on closure duration may play a role in the sensitivity to ocean warming in this species and contribute to ecosystem-level effects.


2016 ◽  
Vol 29 (3) ◽  
pp. 1013-1029 ◽  
Author(s):  
Mengqian Lu ◽  
Upmanu Lall ◽  
Jaya Kawale ◽  
Stefan Liess ◽  
Vipin Kumar

Abstract Correlation networks identified from financial, genomic, ecological, epidemiological, social, and climatic data are being used to provide useful topological insights into the structure of high-dimensional data. Strong convection over the oceans and the atmospheric moisture transport and flow convergence indicated by atmospheric pressure fields may determine where and when extreme precipitation occurs. Here, the spatiotemporal relationship among sea surface temperature (SST), sea level pressure (SLP), and extreme global precipitation is explored using a graph-based approach that uses the concept of reciprocity to generate cluster pairs of locations with similar spatiotemporal patterns at any time lag. A global time-lagged relationship between pentad SST anomalies and pentad SLP anomalies is investigated to understand the linkages and influence of the slowly changing oceanic boundary conditions on the development of the global atmospheric circulation. This study explores the use of this correlation network to predict extreme precipitation globally over the next 30 days, using a logistic principal component regression on the strong global dipoles found between SST and SLP. Predictive skill under cross validation and blind prediction for the occurrence of 30-day precipitation that is higher than the 90th percentile of days in the wet season is indicated for the selected global regions considered.


2010 ◽  
Vol 61 (2) ◽  
pp. 192 ◽  
Author(s):  
K. Sinclair ◽  
P. J. Beale

In the subtropical dairy region of Australia, poor establishment of short-term ryegrass (Lolium multiflorum) oversown into tropical grass pastures is a common occurrence requiring re-sowing. A survey of subtropical dairy farmers was undertaken to relate management practices used in oversowing ryegrass to sward establishment and subsequent growth. Two glasshouse studies were also conducted to examine (1) the effect of temperature, ploidy, seeding depth, and mulch cover on ryegrass emergence and (2) the effect of temperature and ploidy on growth and development of ryegrass seedlings. Subtropical dairy farmers only used grazing management to control the growth and residue levels of the tropical grass pasture before oversowing. The average residue was 1200 kg DM/ha to a 5 cm height, and where the residue amount and height were higher, the ryegrass failed to establish. Tetraploid cultivars were preferred in early sowings and diploid cultivars were favoured in later sowings. When direct-drilled, either seed type was sown to a depth of 1–3 cm. A 20–30 kg/ha sowing rate was common for diploids and was at least 2× that for tetraploids. A seedling count <600 plants/m2 resulted in 1317 tillers/m2 in spring compared with 1886 tillers/m2 for a count >600 plants/m2. The ryegrass seedling emergence study was conducted at 25/15°C (day 0600–1800 hours)/(night 1800–0600 hours) for 14 days after sowing and then repeated at 20/10°C. The treatment combinations were 2 seed types (tetraploid or diploid) × 4 sowing depths (0, 1, 3, or 6 cm) × 3 mulch heights (1, 5, or 10 cm above surface). The main effects, seed type, sowing depth, and mulch height had significant (P < 0.05) effects on seedling emergence, irrespective of temperature, and all interactions were significant (P < 0.05) with the exception of the seed type × mulch height interaction. At the higher temperature the proportion of emerged seedlings declined from 0.52 to 0.16 with increasing mulch cover, from 0.43 to 0.29 with increasing sowing depth, and was higher for tetraploid than for diploid cultivars (0.44 v. 0.26, respectively). At the lower temperature the proportion of emerged seedlings declined from 0.85 to 0.20 with increasing mulch cover, from 0.62 to 0.39 with increasing sowing depth, and was higher for tetraploid than for diploid cultivars (0.63 v. 0.52, respectively). The ryegrass seedling study used treatment combinations of 3 temperature regimes (25/15°C, 20/10°C, or 15/5°C) × 2 seed types (tetraploid or diploid) × 5 harvest times (3, 4, 5, 6, and 8 weeks after sowing). At 8 weeks after sowing tetraploid top DM was significantly (P < 0.05) higher than diploid top DM at low (4100 v. 3040 mg/plant) and medium (5370 v. 2600 mg/plant), but not high (2460 v. 2780 mg/plant) temperatures. Tetraploid tiller and leaf numbers were substantially reduced by high temperature but not for diploid cultivars at 8 weeks. Tetraploid root DM at 8 weeks was highest (2360 mg/plant) and lowest (1200 mg/plant) at medium and low temperatures, respectively, while diploid root DM (mean = 1440 mg/plant) was not affected by temperature. Top growth was most rapid at 6–8 weeks (700–3392 mg/plant) and even more so for root growth (260–1617 mg/plant). These results indicate that when oversowing, ryegrass establishment will be most successful if the ryegrass seed is not sown below 3 cm but, more importantly, if the tropical grass residue is restricted to a 5 cm height. Further, sowing a tetraploid cultivar may be preferable to a diploid cultivar, with its superior emergence and seedling growth over a range of temperatures and sowing conditions.


2019 ◽  
Vol 11 (4) ◽  
pp. 1191 ◽  
Author(s):  
Xuan Wei ◽  
Wei Chen

The impact of social network position on innovation has been widely confirmed in past studies. However, research on the time-lag structure of the impact is still insufficient. Within the time window 2010 to 2017, this study constructs a two-mode social network between Chinese listed companies and other participants. To analyze the lag structure of the effect of social network position on innovation, this study uses a panel negative binomial regression model transformed by the Almon polynomial. The results show that a firm does need an advantageous past social network position for innovation. Previous local and global centrality in a social network has a different influence on innovation. For the local centrality indices, degree centrality has a positive impact in the short-term, but has a negative impact in the long-term; the impact of betweenness centrality is not significant in the short-term and is negative in the long run. For the global centrality indices, closeness centrality has a positive influence that decreases with the increase of the time-lag. At the same time, using the method of necessary condition analysis (NCA), this study calculates the bottleneck for a given innovation level. Finally, based on these research conclusions, the theoretical implications and management practice implications are summarized.


2020 ◽  
Author(s):  
Daniel Hawtree ◽  
John O'Sullivan ◽  
Gregory O'Hare ◽  
Levent Görgü ◽  
Conor Muldoon ◽  
...  

&lt;p&gt;The European Bathing Water Directive (BWD; 76/160/EEC 2006) requires the implementation of early warning systems for bathing waters which are subject to short-term pollution events. To this end, the EU SWIM project is developing coastal water quality prediction models and alert systems at nine beach sites in the Republic of Ireland and Northern Ireland, which represent a range of baseline water quality and site conditions.&lt;/p&gt;&lt;p&gt;At each site, statistical / machine-learning predictive models are being developed based on their site-specific relationships between fecal indicator bacteria and multiple environmental variables. A unique aspect of the approach being developed is the use of a historical back-cast climate data (Met &amp;#201;ireann's M&amp;#201;RA dataset) as the foundation of model development, and the use of a related climate forecast dataset (Met &amp;#201;ireann's Harmonie dataset) for forecasts. By integrating these datasets into a predictive system, environmental variables can be utilized at spatial and temporal resolutions exceeding what is typically available from alternative data sources (e.g. weather station gauges). This approach enables the production of a continuous stream of short-term water quality forecasts, which can then be validated against data collected by routine compliance sampling, as well as targeted supplementary water quality sampling.&lt;/p&gt;&lt;p&gt;This presentation provides an overview of the end-to-end prediction system, a summary of the underlying models, and a discussion of the challenges and opportunities presented by this forecasting framework.&lt;/p&gt;


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