scholarly journals Comportamento fenológico da espécie invasora Ligustrum lucidum em um fragmento florestal urbano em Curitiba, Paraná, Brasil.

FLORESTA ◽  
2016 ◽  
Vol 46 (3) ◽  
pp. 371 ◽  
Author(s):  
Thiago Wendling Gonçalves de Oliveira ◽  
Jaçanan Eloisa de Freitas Milani ◽  
Christopher Thomas Blum
Keyword(s):  
Biological Invasions ◽  
Exotic Species ◽  
Biodiversity Conservation ◽  
Minimum Temperature ◽  
Climatic Variables ◽  
Spearman Correlation ◽  
Flower Buds ◽  
Ligustrum Lucidum ◽  
Temperature And Precipitation

Understanding the causes of biological invasions by exotic species is very important for biodiversity conservation, for which knowledge of their phenology is of paramount importance. The aim of this study was to characterize the phenology of Ligustrum lucidum W.T.Ait., its relations with the weather, and understand how its phenological behavior can facilitate its capacity of invasion in an urban Araucaria Rainforest fragment in Curitiba, Brazil. The evaluated phenophases were: young, mature and old leaves; flower buds and anthesis; unripe, mature and old fruits. The phenophases were correlated with climatic variables of maximum, medium and minimum temperature and precipitation using the Spearman correlation. The vegetative phenophases were observed throughout the whole study period, flowering predominated from October to January, and fructification from February to September. The only significant correlation between phenophases and climatic variables was represented by the relation between temperatures and fruiting, with negative correlations above 0.8 (P <0.01). We concluded that rainfall did not influence the phenological behavior, and the temperature only influenced the ripening of fruits. Including flowering and fruiting, the species remained within at least one reproductive phenophase throughout the year. The prolonged period of fruiting can be an important advantage that facilitates the invasion of L. lucidum in the Araucaria Rainforest.

scholarly journals PHENODYNAMICS OF Solanum mauritianum SCOP. IN A PLANTATION FOR SUBTROPICAL FOREST RESTORATION

FLORESTA ◽  
2021 ◽  
Vol 51 (2) ◽  
pp. 439
Author(s):  
Marcos Lubke ◽  
Lucas Lubke ◽  
Bruno Jan Schramm Corrêa ◽  
Marciele Filippi ◽  
Fernando Campanhã Bechara
Keyword(s):  
Minimum Temperature ◽  
Forest Restoration ◽  
Subtropical Forest ◽  
Climatic Variables ◽  
Forest Plantation ◽  
Floral Buds ◽  
Temperature And Precipitation ◽  
Solanum Mauritianum ◽  
Average Minimum Temperature ◽  
Ecological Potential

We evaluated the phenodynamics of Solanum mauritianum Scop. in a forest plantation to check the ecological behavior of this species in restoration condition. Twelve trees were observed over 24 months, according to regrowth, flowering, fruiting and defoliation. The phenophases were correlated with the photoperiod, climatic variables, maximum, average, minimum temperature and precipitation through Pearson´s correlation. The species exhibited over the year highly synchronic, flowering and fruiting. The flowering occurred from January to December, with floral buds being observed simultaneously with ripe fruits, reaching a maximum dispersion in February. Temperatures below 10°C and frosts inhibited the leaf re-sprouts, promoting a leaf deciduous peak in March and June. The permanent availability of resources as flowers and fruits and the resilience of vegetative phenophases in response to severe frosts make S. mauritianum an adapted species of highly ecological potential to be used in regional restoration projects. 

Effect of environment factors on milk production and lactation length under different seasons in crossbred cattle

2015 ◽  
Author(s):  
S.S. Mote ◽  
D.S. Chauhan* and Nilotpal Ghosh1
Keyword(s):  
Milk Yield ◽  
Minimum Temperature ◽  
Summer Season ◽  
Climatic Variables ◽  
Coefficient Of Determination ◽  
Maximum Temperature ◽  
Temperature Minimum ◽  
Crossbred Cattle ◽  
Lactation Length ◽  
Significant Regression

The study was undertaken to evaluate the effect of different macro climatic variables on lactation milk yield and lactation length of Holdeo (Holstein Friesian x Deoni) crossbred cattle. Milk data of 145 Holdeo crossbred cows with 619 lactation records and the meteorological data over a period of 15 years (1995-2009) were obtained from Cattle Cross Breeding Project, Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani and University Meteorological Observatory, respectively. It was observed that maximum temperature has significant correlation with lactation milk yield; whereas maximum temperature, minimum temperature, sunshine hours and wind speed have significant correlation with lactation length. Regression analysis indicated that all the climatic variables except minimum temperature exhibited significant regression results with lactation milk yield, and maximum temperature, minimum temperature and maximum humidity have significant regression results with lactation length. All the climatic variables considered in the study accounted for 75 % and 65 % direct variation on lactation milk yield and lactation length, respectively, as verified by the value of coefficient of determination (R2). It was observed that lactation milk yield (1136.56 + 21.04 kg.) and lactation length (295.29 + 5.51 days) were highest among the cows calved during winter season as compared to rainy and summer season. All the climatic variables considered in the study accounted for 57% , 56 % and 48 % direct variation on milk yield and 68% , 53 % and 46 % direct variation on lactation length in rainy, winter and summer season, respectively, as verified by the value of coefficient of determination (R2). This research indicated that crossbred cows were sensitive to seasonal changes on their lactation performance. The optimum ranges of temperature; humidity and THI for better performance of crossbred in subtropical region of India were found to be 19-26 oC, 52-66 % and 65-68 %, respectively.

scholarly journals Temporal analysis of the relationship between dengue and meteorological variables in the city of Rio de Janeiro, Brazil, 2001-2009

2012 ◽  
Vol 28 (11) ◽  
pp. 2189-2197 ◽  
Author(s):  
Adriana Fagundes Gomes ◽  
Aline Araújo Nobre ◽  
Oswaldo Gonçalves Cruz
Keyword(s):  
Minimum Temperature ◽  
Rio De Janeiro ◽  
Linear Models ◽  
Negative Binomial ◽  
Critical Factor ◽  
Temporal Analysis ◽  
Temporal And Spatial Distribution ◽  
Temperature And Precipitation ◽  
The Relationship ◽  
The City

Dengue, a reemerging disease, is one of the most important viral diseases transmitted by mosquitoes. Climate is considered an important factor in the temporal and spatial distribution of vector-transmitted diseases. This study examined the effect of seasonal factors and the relationship between climatic variables and dengue risk in the city of Rio de Janeiro, Brazil, from 2001 to 2009. Generalized linear models were used, with Poisson and negative binomial distributions. The best fitted model was the one with "minimum temperature" and "precipitation", both lagged by one month, controlled for "year". In that model, a 1°C increase in a month's minimum temperature led to a 45% increase in dengue cases in the following month, while a 10-millimeter rise in precipitation led to a 6% increase in dengue cases in the following month. Dengue transmission involves many factors: although still not fully understood, climate is a critical factor, since it facilitates analysis of the risk of epidemics.

scholarly journals Acquisition of fungi from the environment modifies ambrosia beetle mycobiome during invasion

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8103 ◽  
Author(s):  
Davide Rassati ◽  
Lorenzo Marini ◽  
Antonino Malacrinò
Keyword(s):  
Biological Invasions ◽  
Exotic Species ◽  
Ecological Factors ◽  
Ambrosia Beetle ◽  
Fungal Communities ◽  
Bottleneck Effect ◽  
Factors Affecting ◽  
Microbial Symbionts ◽  
Insect Fungi ◽  
Native Fungi

Microbial symbionts can play critical roles when their host attempts to colonize a new habitat. The lack of symbiont adaptation can in fact hinder the invasion process of their host. This scenario could change if the exotic species are able to acquire microorganisms from the invaded environment. Understanding the ecological factors that influence the take-up of new microorganisms is thus essential to clarify the mechanisms behind biological invasions. In this study, we tested whether different forest habitats influence the structure of the fungal communities associated with ambrosia beetles. We collected individuals of the most widespread exotic (Xylosandrus germanus) and native (Xyleborinus saxesenii) ambrosia beetle species in Europe in several old-growth and restored forests. We characterized the fungal communities associated with both species via metabarcoding. We showed that forest habitat shaped the community of fungi associated with both species, but the effect was stronger for the exotic X. germanus. Our results support the hypothesis that the direct contact with the mycobiome of the invaded environment might lead an exotic species to acquire native fungi. This process is likely favored by the occurrence of a bottleneck effect at the mycobiome level and/or the disruption of the mechanisms sustaining co-evolved insect-fungi symbiosis. Our study contributes to the understanding of the factors affecting insect-microbes interactions, helping to clarify the mechanisms behind biological invasions.

scholarly journals A Multiregion Model Evaluation and Attribution Study of Historical Changes in the Area Affected by Temperature and Precipitation Extremes

2016 ◽  
Vol 29 (23) ◽  
pp. 8285-8299 ◽  
Author(s):  
Andrea J. Dittus ◽  
David J. Karoly ◽  
Sophie C. Lewis ◽  
Lisa V. Alexander ◽  
Markus G. Donat
Keyword(s):  
North America ◽  
Northern Hemisphere ◽  
Minimum Temperature ◽  
Climate Models ◽  
Heavy Precipitation ◽  
Precipitation Extremes ◽  
Annual Precipitation ◽  
Total Annual Precipitation ◽  
Temperature And Precipitation ◽  
Increasing Trends

Abstract The skill of eight climate models in simulating the variability and trends in the observed areal extent of daily temperature and precipitation extremes is evaluated across five large-scale regions, using the climate extremes index (CEI) framework. Focusing on Europe, North America, Asia, Australia, and the Northern Hemisphere, results show that overall the models are generally able to simulate the decadal variability and trends of the observed temperature and precipitation components over the period 1951–2005. Climate models are able to reproduce observed increasing trends in the area experiencing warm maximum and minimum temperature extremes, as well as, to a lesser extent, increasing trends in the areas experiencing an extreme contribution of heavy precipitation to total annual precipitation for the Northern Hemisphere regions. Using simulations performed under different radiative forcing scenarios, the causes of simulated and observed trends are investigated. A clear anthropogenic signal is found in the trends in the maximum and minimum temperature components for all regions. In North America, a strong anthropogenically forced trend in the maximum temperature component is simulated despite no significant trend in the gridded observations, although a trend is detected in a reanalysis product. A distinct anthropogenic influence is also found for trends in the area affected by a much-above-average contribution of heavy precipitation to annual precipitation totals for Europe in a majority of models and to varying degrees in other Northern Hemisphere regions. However, observed trends in the area experiencing extreme total annual precipitation and extreme number of wet and dry days are not reproduced by climate models under any forcing scenario.

scholarly journals Climatic Variables and Mass Balance Of Alpine Glaciers During A Period Of Climate Fluctuation

1990 ◽  
Vol 14 ◽  
pp. 333-333
Author(s):  
David N. Collins
Keyword(s):  
Mass Balance ◽  
Multiple Regression ◽  
Rank Order ◽  
Summer Precipitation ◽  
Climatic Conditions ◽  
Climatic Variables ◽  
Glacier Mass Balance ◽  
Temperature And Precipitation ◽  
Precipitation Regimes ◽  
Precipitation And Temperature

Parameterisation of relationships between climate and glacier mass balance is of considerable importance in understanding and modelling how temporal variability in climate affects the quantity of perennial snow and ice stored in glaciers, and the runoff from glacierised areas. Influences of year-to-year variations in air temperatures are pertinent in the absence of long records of measured energy balance and in view of predictions of future climate scenarios in terms of temperature. Measurements of temperature and precipitation from several stations in Alpine valleys in the Rhone basin, Wallis, Switzerland have been analysed to indicate trends in climate from 1930 to 1988. Actual measurements of mass balance of Griesgletscher, ablation calculated from runoff and net accumulation estimated from totalising rain gauges for Findelengletscher and Gornergletscher beginning in the late 1960s, and runoff from Aletschgletscher since 1930, were taken as annual glaciological responses to climatic variation. Variables to represent climatic elements and interactions between precipitation and temperature were selected according to degree of correlation with glacier response variables, and climate-glacier response relationships were assessed by multiple regression. Subsets of the data representing the coolest (1972–81) and warmest (1943–52) decades were also analysed to indicate whether relationships amongst climatic variables and between climate and mass balance remain the same under contrasting climatic conditions.Overall, mean summer air temperature variables for the months May through September and June through August provide the highest levels of explanation of variance of ablation and mass balance respectively (75–82%). Addition of a precipitation variable (winter, spring or summer) in multiple regression increases explanation to a maximum of 91%. Spring and summer precipitation variables are negatively correlated with ablation. Positive degree days and temperature-summer snow functions provide alternatives to temperature. Event-based analysis of the coolest and warmest years selected by rank order invokes high precipitation in May and low May-June temperatures and summer snowfall events as significant variables.Relationships between climatic variables indicate that warmer-than-average winters have higher precipitation, but at summer and annual time scales precipitation is slightly negatively associated with temperature. At the decadal level, warmer periods appear to be influenced by increased frequency of continental anticyclonic conditions, in an area subject to both maritime and continental influences. These analyses of climatic variables indicate that summer energy inputs dominate glacier mass balance. Relationships between precipitation and temperature are complex and were changeable during a fluctuation of about 1° over 40 years. Effects of a potentially warmer future on the form of precipitation in spring, summer and autumn are not clear, so estimates of changes of mass balance have been calculated for contrasting precipitation regimes.

scholarly journals Impact Assessment of Future Climate Change on Streamflows Upstream of Khanpur Dam, Pakistan using Soil and Water Assessment Tool

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1090 ◽  
Author(s):  
Saima Nauman ◽  
Zed Zulkafli ◽  
Abdul Halim Bin Ghazali ◽  
Badronnisa Yusuf
Keyword(s):  
Minimum Temperature ◽  
Assessment Tool ◽  
Baseline Period ◽  
Maximum Temperature ◽  
Future Climate Change ◽  
Temperature Minimum ◽  
Temperature And Precipitation ◽  
Rcp 8.5 ◽  
Water Assessment ◽  
Soil And Water

The study aims to evaluate the long-term changes in meteorological parameters and to quantify their impacts on water resources of the Haro River watershed located on the upstream side of Khanpur Dam in Pakistan. The climate data was obtained from the NASA Earth Exchange Global Daily Downscaled Projection (NEX-GDDP) for MIROC-ESM model under two Representative Concentration Pathway (RCP) scenarios. The model data was bias corrected and the performance of the bias correction was assessed statistically. Soil and Water Assessment Tool was used for the hydrological simulation of watershed followed by model calibration using Sequential Uncertainty Fitting version-2. The study is useful for devising strategies for future management of Khanpur Dam. The study indicated that in the future, at Murree station (P-1), the maximum temperature, minimum temperature and precipitation were anticipated to increase from 3.1 °C (RCP 4.5) to 4.0 °C (RCP 8.5), 3.2 °C (RCP 4.5) to 4.3 °C (RCP 8.5) and 8.6% to 13.5% respectively, in comparison to the baseline period. Similarly, at Islamabad station (P-2), the maximum temperature, minimum temperature and precipitation were projected to increase from 3.3 °C (RCP 4.5) to 4.1 °C (RCP 8.5), 3.3 °C (RCP 4.5) to 4.2 °C (RCP 8.5) and 14.0% to 21.2% respectively compared to baseline period. The streamflows at Haro River basin were expected to rise from 8.7 m3/s to 9.3 m3/s.

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