Spatial Analysis for Landscape Changes

Landscape is the backcloth over which environmental and anthropic events occur, and recent increasing trends of natural and anthropic processes, such as urbanization, land-use changes, and extreme climate events, have a strong impact on landscape modification [...]

Genetic Improvement of Local Red Peanut With Using Nuclear Technique (Multigamma Irradiation) for Obtaining Superior Variety

The main problem examined in this study concerns the breeding of local red peanuts (Arachis hypogaea L.) to use standard multigamma irradiation methods to obtain superior variety that can be adapted to drought conditions, pests-diseases, extreme climate, and high production. The research objective was to develop local red peanut variety to use multigamma irradiation and careful selection for obtaining superior variety that can be adapted to drought conditions, pests-diseases, extreme climate, and high production. Research methods include multigamma irradiation, observation, sampling, carefully selection, comparative, and interpretation. The results of the study are as follows: The development of local red peanut variety through breeding to use multigamma irradiation and careful selection resulted in superior variety that could adapt to drought conditions, pests-diseases, extreme climate, and increased production significantly. The range of production of selected superior variety resulting from multigamma irradiation was (3.68-4.10) t ha-1 with an average production of 3.92 t ha-1. The percentage increase in the production of selected superior variety was 49.23% with an average water content of dry seeds of 11.3%.

The minimum social guarantee of employees’ wages in Russia: 2020-2021

In 2021 the methodological approaches to the assessment of the minimum wage and the subsistence minimum level (SML) undergone significant changes. According to federal law No 473-FZ of December 29, 2020, these minimum social guarantees are to be calculated relative to the median wage (at 42%) and the median per capita income (at 44.2%) for the past year. This article reviews the changes in the minimum social guarantees as regards employees’ wages in Russia and its regions in the past two years. A new methodology for estimating the median wages had not been developed by the start of 2021. According to Law No 473-FZ the federal minimum wage was set using the Pension Fund data at the rate of 12792 rubles per month. The majority of regions used the federal minimum wage as the basis for defining regional minimum wages. A comparative analysis of regional minimum wages in 2020 and 2021 was carried out for two groups of regions, the regions with regular climate conditions and the regions with special (extreme) climate conditions where the regional coefficient for wages is applied. The analysis shows that in 2021 the minimum wage increased by 5,5% compared to 2020 in most regions. The exception is 11 regions of the Russian Federation, where the minimum wage was set at an increased rate compared to the federal level. The article analyses the ratio of the minimum wage and means wage of all employees in 45 regions of the Russian Federation with normal climate conditions and in 16 regions with extreme climate conditions, where a unified rayon coefficient is set up at the territory of the region. The dynamics of this indicator allows for estimating the trends in wage inequality

Grassland Phenology’s Sensitivity to Extreme Climate Indices in the Sichuan Province, Western China

Depending on the vegetation type, extreme climate and drought events have a greater impact on the end of the season (EOS) and start of the season (SOS). This study investigated the spatial and temporal distribution characteristics of grassland phenology and its responses to seasonal and extreme climate changes in Sichuan Province from 2001 to 2020. Based on the data from 38 meteorological stations in Sichuan Province, this study calculated the 15 extreme climate indices recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI). The results showed that SOS was concentrated in mid-March to mid-May (80–140 d), and 61.83% of the area showed a significant advancing trend, with a rate of 0–1.5 d/a. The EOS was concentrated between 270–330 d, from late September to late November, and 71.32% showed a delayed trend. SOS was strongly influenced by the diurnal temperature range (DTR), yearly maximum consecutive five-day precipitation (RX5), and the temperature vegetation dryness index (TVDI), while EOS was most influenced by the yearly minimum daily temperature (TNN), yearly mean temperature (TEMP_MEAN), and TVDI. The RX5 day index showed an overall positive sensitivity coefficient for SOS. TNN index showed a positive sensitivity coefficient for EOS. TVDI showed positive and negative sensitivities for SOS and EOS, respectively. This suggests that extreme climate change, if it causes an increase in vegetation SOS, may also cause an increase in vegetation EOS. This research can provide a scientific basis for developing regional vegetation restoration and disaster prediction strategies in Sichuan Province.

Spatiotemporal Changes in Temperature and Precipitation in West Africa. Part I: Analysis with the CMIP6 Historical Dataset

Climate variability and change constitute major challenges for Africa, especially West Africa (WA), where an important increase in extreme climate events has been noticed. Therefore, it appears essential to analyze characteristics and trends of some key climatological parameters. Thus, this study addressed spatiotemporal variabilities and trends in regard to temperature and precipitation extremes by using 21 models of the Coupled Model Intercomparison Project version 6 (CMIP6) and 24 extreme indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). First, the CMIP6 variables were evaluated with observations (CHIRPS, CHIRTS, and CRU) of the period 1983–2014; then, the extreme indices from 1950 to 2014 were computed. The innovative trend analysis (ITA), Sen’s slope, and Mann–Kendall tests were utilized to track down trends in the computed extreme climate indices. Increasing trends were observed for the maxima of daily maximum temperature (TXX) and daily minimum temperature (TXN) as well as the maximum and minimum of the minimum temperature (TNX and TNN). This upward trend of daily maximum temperature (Tmax) and daily minimum temperature (Tmin) was enhanced with a significant increase in warm days/nights (TX90p/TN90p) and a significantly decreasing trend in cool days/nights (TX10p/TN10p). The precipitation was widely variable over WA, with more than 85% of the total annual water in the study domain collected during the monsoon period. An upward trend in consecutive dry days (CDD) and a downward trend in consecutive wet days (CWD) influenced the annual total precipitation on wet days (PRCPTOT). The results also depicted an upward trend in SDII and R30mm, which, additionally to the trends of CDD and CWD, could be responsible for localized flood-like situations along the coastal areas. The study identified the 1970s dryness as well as the slight recovery of the 1990s, which it indicated occurred in 1992 over West Africa.

Marine heatwave challenges solutions to human–wildlife conflict

Despite the increasing frequency and magnitude of extreme climate events, little is known about how their impacts flow through social and ecological systems or whether management actions can dampen deleterious effects. We examined how the record 2014–2016 Northeast Pacific marine heatwave influenced trade-offs in managing conflict between conservation goals and human activities using a case study on large whale entanglements in the U.S. west coast's most lucrative fishery (the Dungeness crab fishery). We showed that this extreme climate event diminished the power of multiple management strategies to resolve trade-offs between entanglement risk and fishery revenue, transforming near win–win to clear win–lose outcomes (for whales and fishers, respectively). While some actions were more cost-effective than others, there was no silver-bullet strategy to reduce the severity of these trade-offs. Our study highlights how extreme climate events can exacerbate human–wildlife conflict, and emphasizes the need for innovative management and policy interventions that provide ecologically and socially sustainable solutions in an era of rapid environmental change.