scholarly journals Modeling of territories suitable for the habitat of Allium obliquum L., listed in the Red Book of Tomsk oblast, based on climatic data

Author(s):  
L. S. Levchenko ◽  
M. V. Olonova

Oblique onion – Allium obliquum – is included to the Tomsk Red Data Book with status 0 (probably an extinctspecies). The purpose of this study was to create a model of the territory, according to its climatic parameters, suitable for habitation of A. obliquum, as well as to reveal if the territory of Tomsk oblast as a whole is suitable for the growth of this species.Studies carried out using the MaxEnt algorithm showed that the current climatic conditions of Tomsk oblast as a whole arefavorable for A. obliquum occurence, and the climate change predicted by SCIRO for 2080 will not worsen them significantly.

2018 ◽  
Vol 11 (2) ◽  
pp. 420-433 ◽  
Author(s):  
Adem Yavuz Sönmez ◽  
Semih Kale

Abstract The main purpose of this study was to estimate possible climate change effects on the annual streamflow of Filyos River (Turkey). Data for annual streamflow and climatic parameters were obtained from streamflow gauging stations on the river and Bartın, Karabük, Zonguldak meteorological observation stations. Time series analysis was performed on 46 years of annual streamflow data and 57 years of annual mean climatic data from three monitoring stations to understand the trends. Pettitt change-point analysis was applied to determine the change time and trend analysis was performed to forecast trends. To reveal the relationship between climatic parameters and streamflow, correlation tests, namely, Spearman's rho and Kendall's tau were applied. The results of Pettitt change-point analysis pointed to 2000 as the change year for streamflow. Change years for temperature and precipitation were detected as 1997 and 2000, respectively. Trend analysis results indicated decreasing trends in the streamflow and precipitation, and increasing trend in temperature. These changes were found statistically significant for streamflow (p < 0.05) and temperature (p < 0.01). Also, a statistically significant (p < 0.05) correlation was found between streamflow and precipitation. In conclusion, decreasing precipitation and increasing temperature as a result of climate change initiated a decrease in the river streamflow.


Atmosphere ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1149 ◽  
Author(s):  
Martin Piringer ◽  
Werner Knauder ◽  
Kathrin Baumann-Stanzer ◽  
Ivonne Anders ◽  
Konrad Andre ◽  
...  

(1) Background: The impact of odour sources as stock farms on neighbouring residential areas might increase in the future because the relevant climatic parameters will be modified due to climate change. (2) Methodology: Separation distances are calculated for two Central European sites with considerable livestock activity influenced by different orographic and climatic conditions. Furthermore, two climate scenarios are considered, namely, the time period 1981–2010 (present climate) and the period 2036–2065 (future climate). Based on the provided climatic parameters, stability classes are derived as input for local-scale air pollution modelling. The separation distances are determined using the Lagrangian particle diffusion model LASAT. (3) Results: Main findings comprise the changes of stability classes between the present and the future climate and the resulting changes in the modelled odour impact. Model results based on different schemes for stability classification are compared. With respect to the selected climate scenarios and the variety of the stability schemes, a bandwidth of affected separation distances results. (4) Conclusions: The investigation reveals to what extent livestock husbandry will have to adapt to climate change, e.g., with impacts on today’s licensing processes.


2001 ◽  
Vol 7 (1) ◽  
pp. 60-67
Author(s):  
Ivan Gnip ◽  
Vladislovas Keršulis ◽  
Sigitas Vėjelis

The climatic parameters influence the equilibrium moisture of building enclosures and their thermal insulating layers. This investigation seeks to find a quantitative correlation between these influence values. The enclosure equilibrium moisture content W 0 was expressed as the sum of two components: sorption moisture W s and thermal condensation moisture W t (formula 1). The coefficient η was introduced as the maintenance moist state criterion (formula 3), which depends on climatic conditions. It has been used for in-situ investigations of different enclosures (Fig 1) of dwelling houses as well as for damp and wet premises data [4–15]. The results (Fig 2, 3) show the dependence of equilibrium moisture on η. This dependence has been expressed by (4), where W t 0 is W t component due to thermal condensation when η=0. W t 0 is equal to 12,3% (vol) for ceramic and sand-lime, brick masonry as well as for porous concrete, expanded clay aggregate, slag fillings and is equal to 0,028% (vol) for rock wool products in traditional enclosures (Fig 1). The parameter α (7) was introduced for estimating cold season climate influence after mathematical statistical treatment of long-term climatic data [19]. It has been found (Table 1) that a may be adopted to be equal to 0,2 when the equilibrium moisture component due to thermal condensation has been calculated for Lithuanian climatic conditions. The possible equilibrium moisture of various building materials for enclosures has been evaluated by the proposed method and is given in Table 2. The data do not apply to expanded polystyrene, polyurethane foam and cellulose fibre because in-situ investigation data are absent for enclosures with these insulating materials. Table 2 shows that there are several distinctions in given values and corresponding values introduced in abrogated normative documents [25, 26] as well as corresponding corrections Δλw in valid documents [27] stipulated by additional moisture content of materials in enclosures. The correction value Δλw must be defined more precisely when thermal conductivity design values are calculated for enclosures with porous concrete or expanded clay aggregates.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252527
Author(s):  
Mattia Bessone ◽  
Lambert Booto ◽  
Antonio R. Santos ◽  
Hjalmar S. Kühl ◽  
Barbara Fruth

Since 1994, IUCN Red List assessments apply globally acknowledged standards to assess species distribution, abundance and trends. The extinction risk of a species has a major impact on conservation science and international funding mechanisms. Great ape species are listed as Endangered or Critically Endangered. Their populations are often assessed using their unique habit of constructing sleeping platforms, called nests. As nests rather than apes are counted, it is necessary to know the time it takes for nests to disappear to convert nest counts into ape numbers. However, nest decomposition is highly variable across sites and time and the factors involved are poorly understood. Here, we used 1,511 bonobo (Pan paniscus) nests and 15 years of climatic data (2003–2018) from the research site LuiKotale, Democratic Republic of the Congo, to investigate the effects of climate change and behavioural factors on nest decay time, using a Bayesian gamma survival model. We also tested the logistic regression method, a recommended time-efficient option for estimating nest decay time. Our climatic data showed a decreasing trend in precipitation across the 15 years of study. We found bonobo nests to have longer decay times in recent years. While the number of storms was the main factor driving nest decay time, nest construction type and tree species used were also important. We also found evidence for bonobo nesting behaviour being adapted to climatic conditions, namely strengthening the nest structure in response to unpredictable, harsh precipitation. By highlighting methodological caveats, we show that logistic regression is effective in estimating nest decay time under certain conditions. Our study reveals the impact of climate change on nest decay time in a tropical remote area. Failure to account for these changes would invalidate biomonitoring estimates of global significance, and subsequently jeopardize the conservation of great apes in the wild.


2012 ◽  
Vol 46 ◽  
pp. 269-273
Author(s):  
L. E. Kurbatova ◽  
E. G. Leushina

The new records of 10 rare moss species of sanctuary “Vaaramaenselka Ridge” (Leningrad Region) are given. New data on the 2 moss species [Homalothecium sericeum (Hedw.) Bruch et al., Mnium hormun Hedw.] included in Red Data Book of Nature of the Leningrad Region are obtained.


2011 ◽  
Vol 45 ◽  
pp. 386-393
Author(s):  
A. D. Potemkin ◽  
E. Yu. Kuzmina ◽  
T. I. Koroteeva (Nyushko)

Species composition of liverworts of unique natural feature of Kamchatka — Uzon Volcano caldera is listed. It includes 38 species. 29 of them are found for the first time for the Uzon caldera. Marsupella funckii, Nardia assamica, N. unispiralis included in Red Data Book of Kamchatka (2007).


2011 ◽  
Vol 45 ◽  
pp. 301-317 ◽  
Author(s):  
N. A. Konstantinova ◽  
A. N. Savchenko

The annotated list of hepatics of the Sochi National Park includes 80 taxa. It is based on literature records and identification of 250 specimens collected by the authors. Scapania obcordata (Berggr.) S. W. Arnell and Calypogeia fissa (L.) Raddi var. intermedia (C. E. O. Jensen) Jorg. are new for the Caucasus, 17 taxa are new for Krasnodar Territory, 41 hepatics are reported for the first time for the park. New localities of 3 red-listed European species and of 6 species included in the Red Data Book of Krasnodar Territory are cited, indicating significant conservation value of the reserve.


2011 ◽  
Vol 45 ◽  
pp. 276-291 ◽  
Author(s):  
E. A. Borovichev

An annotated list of hepatics of Monche-tundra Mts. was compiled for the first time. It includes 123 species and 8 varieties. Lophoziopsis excisa var. elegans is reported as new for the Murmansk Region, Lejeunea cavifolia was recorded secondly for the region, and Scapania tundrae is new for Lapland State Nature Reserve. There are 18 species listed in the Red Data Book of Murmansk Region.


This article presents the results of twelve-year trials of the Region and Ryabota simple hybrids and the three-line hybrid Kameniar breeding laboratory of IOC NAANU hybrid labs, and analyzes their adaptation to ongoing climate change. The purpose of our work was to determine the formation of major economic traits in sunflower hybrids, depending on the agro-climatic conditions of the year.


Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 927
Author(s):  
Jamshad Hussain ◽  
Tasneem Khaliq ◽  
Muhammad Habib ur Rahman ◽  
Asmat Ullah ◽  
Ishfaq Ahmed ◽  
...  

Rising temperature from climate change is the most threatening factor worldwide for crop production. Sustainable wheat production is a challenge due to climate change and variability, which is ultimately a serious threat to food security in Pakistan. A series of field experiments were conducted during seasons 2013–2014 and 2014–2015 in the semi-arid (Faisalabad) and arid (Layyah) regions of Punjab-Pakistan. Three spring wheat genotypes were evaluated under eleven sowing dates from 16 October to 16 March, with an interval of 14–16 days in the two regions. Data for the model calibration and evaluation were collected from field experiments following the standard procedures and protocols. The grain yield under future climate scenarios was simulated by using a well-calibrated CERES-wheat model included in DSSAT v4.7. Future (2051–2100) and baseline (1980–2015) climatic data were simulated using 29 global circulation models (GCMs) under representative concentration pathway (RCP) 8.5. These GCMs were distributed among five quadrants of climatic conditions (Hot/Wet, Hot/Dry, Cool/Dry, Cool/Wet, and Middle) by a stretched distribution approach based on temperature and rainfall change. A maximum of ten GCMs predicted the chances of Middle climatic conditions during the second half of the century (2051–2100). The average temperature during the wheat season in a semi-arid region and arid region would increase by 3.52 °C and 3.84 °C, respectively, under Middle climatic conditions using the RCP 8.5 scenario during the second half-century. The simulated grain yield was reduced by 23.5% in the semi-arid region and 35.45% in the arid region under Middle climatic conditions (scenario). Mean seasonal temperature (MST) of sowing dates ranged from 16 to 27.3 °C, while the mean temperature from the heading to maturity (MTHM) stage was varying between 12.9 to 30.4 °C. Coefficients of determination (R2) between wheat morphology parameters and temperature were highly significant, with a range of 0.84–0.96. Impacts of temperature on wheat sown on 15 March were found to be as severe as to exterminate the crop before heading. The spikes and spikelets were not formed under a mean seasonal temperature higher than 25.5 °C. In a nutshell, elevated temperature (3–4 °C) till the end-century can reduce grain yield by about 30% in semi-arid and arid regions of Pakistan. These findings are crucial for growers and especially for policymakers to decide on sustainable wheat production for food security in the region.


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