scholarly journals Investigating the Climate-Growth Response of Scots Pine (Pinus sylvestris L.) in Northern Poland

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1690
Author(s):  
Nella Waszak ◽  
Iain Robertson ◽  
Radosław Puchałka ◽  
Rajmund Przybylak ◽  
Aleksandra Pospieszyńska ◽  
...  
Keyword(s):  
Pinus Sylvestris ◽  
Scots Pine ◽  
Climatic Data ◽  
Monthly Precipitation ◽  
Monthly Data ◽  
Temperature And Precipitation ◽  
Northern Poland ◽  
Daily Data ◽  
June July ◽  
Precipitation And Temperature

Research Highlights: This study used a 99-year time-series of daily climatic data to determine the climate-growth relationship for Scots Pine (Pinus sylvestris L.) growing in Northern Poland. The use of daily climatic data improved the calculated climatic response of the trees. Background and Objectives: It was hypothesised that daily temperature and precipitation data would more precisely identify climate–growth relationships than monthly data. We compared our results to a previous study conducted in the 1990s that utilised monthly precipitation and temperature data. Materials and Methods: The chronology construction and data analyses were performed using CooRecorder, CDendro and R packages (dplR, treeclim, dendrotools). Forty-nine cores from 31 trees were included in the final chronology. Results: The precipitation and temperature of March had the strongest influence upon ring-widths. Despite a statistically significant correlation between monthly temperature and ring-widths, reduction of error (RE) and coefficient of efficiency (CE) statistics confirmed that daily data better describe the effect of climate on tree rings width than monthly data. Conclusions: At this site, the growing season of Scots pine has changed with the observed association with precipitation now starting as early as February–March and extending to June–July.

scholarly journals Selected properties of wood in Scots pine (Pinus sylvestris L.) growing on post-agricultural land in northern Poland

2009 ◽  
Vol 70 (3) ◽  
pp. 277-286 ◽  
Author(s):  
Tomasz Jelonek ◽  
Witold Pazdrowski ◽  
Arkadiusz Tomczak
Keyword(s):  
Pinus Sylvestris ◽  
Scots Pine ◽  
Agricultural Land ◽  
Northern Poland

Właściwości drewna sosny zwyczajnej (Pinus sylvestrisL.) na gruntach porolnych w północnej Polsce

scholarly journals Influence of Climatic Factors on the Annual Radial Growth of Scots Pine (Pinus sylvestris L.) in Western Latvia

2008 ◽  
Vol 62 (3) ◽  
pp. 120-128 ◽  
Author(s):  
Māris Zunde ◽  
Agrita Briede ◽  
Didzis Elferts
Keyword(s):  
Pinus Sylvestris ◽  
Scots Pine ◽  
Air Temperature ◽  
Radial Growth ◽  
Climatic Factors ◽  
Temperature And Precipitation ◽  
Southern Scandinavia ◽  
Mineral Soils ◽  
The Baltic ◽  
Moisture Conditions

Influence of Climatic Factors on the Annual Radial Growth of Scots Pine (Pinus sylvestris L.) in Western Latvia Dendroclimatological research has been perfomed in Latvia after a break of about 25 years. The growth pattern of Scots pine (Pinus sylvestris L.) in six districts of western Latvia is analysed in relation to climatic factors (monthly and seasonal mean air temperature and precipitation). Applying various statistical techniques, it was observed that in this area the growth of pine on mineral soils with normal moisture conditions has been affected most significantly by the mean air temperature during the period from the second half of January to the first half of April of the same year. Thus, the period when mean air temperature is the most significant influence is similar across an area at least from Lithuania (inclusive) to southern Scandinavia, while further north it is mean summer air temperature that gradually becomes the determining factor in the radial growth of pine. Also the quality of the dendrochronological signal in tree-ring chronologies of pine growing in the environmental conditions of Latvia was determined and signature years during the 20th century were identified, when the majority of pines throughout the territory of the Baltic States exhibit a similar change in annual radial growth.

scholarly journals Sensitivity of SWAT simulated streamflow to climatic changes within the Eastern Nile River basin

2012 ◽  
Vol 16 (2) ◽  
pp. 391-407 ◽  
Author(s):  
D. T. Mengistu ◽  
A. Sorteberg
Keyword(s):  
Climate Changes ◽  
Climate Models ◽  
Hydrological Model ◽  
Climate Change Scenarios ◽  
Annual Streamflow ◽  
Temperature And Precipitation ◽  
Daily Data ◽  
Streamflow Data ◽  
Precipitation Changes ◽  
Precipitation And Temperature

Abstract. The hydrological model SWAT was run with daily station based precipitation and temperature data for the whole Eastern Nile basin including the three subbasins: the Abbay (Blue Nile), BaroAkobo and Tekeze. The daily and monthly streamflows were calibrated and validated at six outlets with station-based streamflow data in the three different subbasins. The model performed very well in simulating the monthly variability while the validation against daily data revealed a more diverse performance. The simulations indicated that around 60% of the average annual rainfalls of the subbasins were lost through evaporation while the estimated runoff coefficients were 0.24, 0.30 and 0.18 for Abbay, BaroAkobo and Tekeze subbasins, respectively. About half to two-thirds of the runoff could be attributed to surface runoff while the other contributions came from groundwater. Twenty hypothetical climate change scenarios (perturbed temperatures and precipitation) were conducted to test the sensitivity of SWAT simulated annual streamflow. The result revealed that the annual streamflow sensitivity to changes in precipitation and temperature differed among the basins and the dependence of the response on the strength of the changes was not linear. On average the annual streamflow responses to a change in precipitation with no temperature change were 19%, 17%, and 26% per 10% change in precipitation while the average annual streamflow responses to a change in temperature and no precipitation change were −4.4% K−1, −6.4% K−1, and −1.3% K−1 for Abbay, BaroAkobo and Tekeze river basins, respectively. 47 temperature and precipitation scenarios from 19 AOGCMs participating inCMIP3 were used to estimate future changes in streamflow due to climate changes. The climate models disagreed on both the strength and the direction of future precipitation changes. Thus, no clear conclusions could be made about future changes in the Eastern Nile streamflow. However, such types of assessment are important as they emphasise the need to use several an ensemble of AOGCMs as the results strongly dependent on the choice of climate models.

Modeling Subalpine and Upper Montane Forest-Climate Interactions in Colorado

2014 ◽  
Vol 5 (4) ◽  
pp. 21-34
Author(s):  
Steven Jennings ◽  
Eric Billmeyer
Keyword(s):  
Tree Species ◽  
Pinus Contorta ◽  
Plant Distribution ◽  
Temperature Fields ◽  
Climatic Data ◽  
Distribution Maps ◽  
National Climatic Data Center ◽  
Temperature And Precipitation ◽  
Pinus Aristata ◽  
Precipitation And Temperature

The correlation of the distribution of five subalpine and montane tree species with precipitation and temperature were modeled using GIS. The results were compared with data presented by Thompson et al. (2000). Distributions of subalpine fir (Abies concolor), Engelmann spruce (Picea engelmannii), lodgepole pine (Pinus contorta), limber pine (Pinus flexilis) and bristlecone pine (Pinus aristata) were compared to estimated precipitation and temperature fields that had been constructed from the Parameter-elevation Regressions on Independent Slopes Model (PRISM), National Climatic Data Center (NCDC) station data, and Snowpack Telemetry (SNOTEL) system data. Plant distribution maps from Little (1971) and CoGAP (2001) were used to determine the temperature and precipitation associated with the selected tree species. The estimates from this study were compared to those of Thompson, Anderson & Bartlein (2000). In many cases precipitation and temperatures values were higher than those of Thompson, Anderson & Bartlein (2000). Suggestions are made to improve the predictive power of GIS analysis for mapping climate and plant variability.

scholarly journals Tree rings of Scots pine (Pinus sylvestris L.) as a source of information about past climate in northern Poland

2010 ◽  
Vol 56 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Marcin Koprowski ◽  
Rajmund Przybylak ◽  
Andrzej Zielski ◽  
Aleksandra Pospieszyńska
Keyword(s):  
Pinus Sylvestris ◽  
Scots Pine ◽  
Tree Rings ◽  
Past Climate ◽  
Northern Poland ◽  
Source Of Information

Comprehensive analysis and separation of river hydrograph using the GrWat R package

2021 ◽  
Author(s):  
Maria Kireeva ◽  
Timophey Samsonov ◽  
Ekaterina Rets
Keyword(s):  
R Package ◽  
Scale Space ◽  
Climatic Data ◽  
Hydrograph Separation ◽  
Russian Science ◽  
Temperature And Precipitation ◽  
Genetic Components ◽  
Baseflow Separation ◽  
Space Transformation ◽  
Daily Data

<p>River hydrograph analysis provides valuable information about temporal and spatial variability of the river discharge. One of the most imporant operations is separation of hydrograph, which aims at decomposing the total streamflow into components. Numerous approaches for hydrograph separation have been developed to date. Most of them traditionally separate the streamflow into general quickflow and baseflow components, but it is also possible to obtain more specific quickflow separation with subdivision into genetic components, such as seasonal snowmelt, rain, thaw etc. We present the general framework for river hydrograph analysis and separation provided by newly released GrWat package, which has been developed during several years. The framework includes a simple tabular data model for representation of hydrograph and climatic (temperature and precipitation) daily data needed for separation of the quickflow into genetic components; spatial analysis operations for automatic extraction of climatic data from reanalysis datasets covering the river basin; automated interpolation of missing data considering the autocorrelation; fast implementation of multiple algorithms for hydrograph separation; computation of more than 30 interannual and long-term characteristics of separated hydrograph components; scale-space transformation for hierarchical decomposition of the hydrograph; high-quality plotting and reporting of the results of analysis. One of the prominent features of the framework is a powerful algorithm for genetic hydrograph separation, which is capable of not only extracting the baseflow, seasonal, thaw and rain flood components, but also to cut the short-time rain floods which complicate the shape of the seasonal flood. The baseflow separation is performed on the first stage and can be initialized by any of the baseflow separation algorithms available in the package. On the second stage the quickflow is separated into genetic components. Such modular structure provides the flexible way to experiment with different combinations of algorithms and to select the approach wich serves best to the goal of the analysis and specific features of the hydrograph.</p><p>The study was supported by the Russian Science Foundation grant No. 19-77-10032</p>

scholarly journals The frequency of occurrence of extreme and detrimental meteorological conditions for vegetation of crops in Poland (1971–2010)

2016 ◽  
Vol 48 (2) ◽  
pp. 165-172
Author(s):  
Agnieszka Ziernicka-Wojtaszek
Keyword(s):  
Air Temperature ◽  
Extreme Values ◽  
Thermal Conditions ◽  
Vegetation Period ◽  
Meteorological Conditions ◽  
Monthly Precipitation ◽  
Frequency Of Occurrence ◽  
Mean Values ◽  
Temperature And Precipitation ◽  
June July

Abstract The frequency of occurrence of extreme and detrimental meteorological conditions for vegetation of crops in Poland (1971-2010). The subject, and aim of this study is the comparison of the frequency of occurrence of thermal, precipitation and pluvio-thermal conditions detrimental to agriculture in Poland during two periods: 1971-2000 and 1981-2010, constituting the former, and the current climate normal, respectively. Each month of the vegetation period (April-October) was, in accordance with the current accounts carried out by agriculture correspondents, assigned to one of the following categories: favorable for vegetation, dry, dry and cool, cool, cool and humid, humid, dry and hot. An identical classification of meteorological vegetation conditions was also carried out for months characterized by extreme air temperature and precipitation values. Extreme values were defined as those monthly temperature mean values, and monthly precipitation totals, the probability of exceeding of which is lower than 10%, i.e. their probability of occurrence, or the socalled recurrence interval, is once every 10 years. The differences existing between the analyzed 30-year periods, can be attributed to the present day climate change - a significant increase in air temperature in April, June, July, and August, with a lack of significant precipitation trends. In the two compared periods, an increase in the number of extreme months from 74 to 82 was stated. The biggest changes during the extreme months were observed for precipitation deficits combined with hot air temperatures, namely, an increase from 15 to 29 months. In general, all the analyzed months of the vegetation period showed an increase in dry months (90 to 105 cases) and a decrease in cool months (44 to 24 cases).

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