Changing Climatic Conditions Research Articles

Динамика земельного фонда Российской Федерации и Краснодарского края по категориям земель, составу и площади сельскохозяйственных угодий

The presented study is aimed at quantifying the dynamic characteristics of the land fund of the Russian Federation and the Krasnodar Territory in the period from 2018 to 2023. The work analyzes statistical data characterizing the distribution of land by category, changes in the composition and area of agricultural land. The methodological approach used makes it possible to identify spatial and temporal trends and differentiate them at the level of the territorial units under consideration. An analysis of official data from the State (national) Land Status and Use report revealed key trends in land transformation by category and agricultural land. At the federal level, there is a steady tendency to reduce agricultural land in parallel with an increase in the areas of specially protected natural territories and forest resources. This situation requires careful analysis from the point of view of ensuring the country's food security. In the Krasnodar Territory, known as a region with intensive agricultural production, an in-depth analysis of the dynamics of land categories revealed the main trends, taking into account possible causal factors affecting changes in the structure of land use. The results obtained made it possible to evaluate the effectiveness of existing land use strategies and identify potential ways to increase the area of agricultural land. Based on the analysis, specific recommendations are formulated to optimize spatial development both for the whole country and for the Krasnodar Territory, identifying the goal as sustainable and efficient use of land resources. Further research should focus on clarifying the contribution of individual factors and developing adaptive land-use strategies taking into account changing climatic conditions.

BBX22 enhances the accumulation of antioxidants to inhibit DNA damage and promotes DNA repair under high UV-B.

Under changing climatic conditions, plant exposure to high-intensity UV-B can be a potential threat to plant health and all plant-derived human requirements, including food. It's crucial to understand how plants respond to high UV-B radiation so that proper measures can be taken to enhance tolerance towards high UV-B stress. We found that BBX22, a B-box protein-coding gene, is strongly induced within one hour of exposure to high-intensity UV-B. Our metabolomics data indicated that BBX22 promotes the accumulation of antioxidants like ascorbic acid and proline. These antioxidants play a vital role in shielding plants exposed to high UV-B from the detrimental effects of Reactive Oxygen Species (ROS), including DNA damage. Additionally, BBX22 promotes DNA damage repair by inducing the expression of DNA repair genes like UVR1 and UVR3. BBX22 directly binds to the promoter of UVR1 to regulate its expression. Furthermore, BBX22 indirectly induces the expression of UVR1 and UVR3 by enhancing the binding of HY5 to their promoters. Together, these results suggest a multi-pronged role of BBX22 in protection against high-intensity UV-B. Enhancing BBX22 levels or its orthologs in different plant species can potentially offer DNA damage protection and tolerance against intense UV radiation.

Numerical modelling of biogeomorphological processes in salt marsh development: Do short-term vegetation dynamics influence long-term development?

Salt marshes are critical coastal ecosystems that provide numerous services. They are governed by complex biogemorphological interactions on multiple spatiotemporal scales. To simulate long-term salt marsh development in numerical models, smaller- and shorter-term vegetation processes are often neglected. This study investigates the importance of spatiotemporally and seasonally varying vegetation dynamics on decadal salt marsh development in an integrated numerical biogeomorphological model simulating a representative, idealized case of the Dutch Western Scheldt Estuary. The focus lies on the influence of seasonal vegetation dynamics, interspecific interactions between two salt marsh species, and the stabilizing effect of below-ground biomass with increasing vegetation age on critical shear stress, which results in spatially non-uniform erosion resistance of sediment and vegetation. By incorporating seasonal growth periods and varying characteristics of vegetation, we demonstrate the impact of species-specific traits on vegetation stability and morphological changes. Introducing an additional pioneer species that can establish further seaward reveals the sheltering effect and the long-term implications of this zonation for marsh development. Additionally, the influence of spatially and temporally varying below-ground biomass on sediment stability and vegetation's resistance to uprooting is significant for the biogeomorphological interactions. Comparison of the different model simulations to topographical data from the Dutch Western Scheldt Estuary shows that the model results are representing the morphological variability occurring in the field. Our findings highlight the complex biogeomorphological feedback that govern salt marsh development and show that models that neglect shorter-term seasonal and grid-scale (25 m2) spatially varying processes may overlook critical interactions that influence the lateral extent and overall morphological development of salt marshes. Therefore, this study underscores the need to integrate seasonal dynamics, species diversity, and below-ground biomass variability into biogeomorphological models to enhance predictive accuracy. This approach provides a more comprehensive understanding of the large-scale, long-term consequences of seasonal and spatiotemporally varying vegetation processes, which is essential for informing conservation and management strategies under changing climatic conditions.

Biochemical, photosynthetic and metabolomics insights of single and combined effects of salinity, heat, cold and drought in Arabidopsis.

Ensuring food security is one of the main challenges related to a growing global population under climate change conditions. The increasing soil salinity levels, drought, heatwaves, and late chilling severely threaten crops and often co-occur in field conditions. This work aims to provide deeper insight into the impact of single vs. combined abiotic stresses at the growth, biochemical and photosynthetic levels in Arabidopsis thaliana (L.). Reduced QY max was recorded in salinity-stressed plants, NPQ increased in heat and salinity single and combined stresses, and qP decreased in combined stresses. MDA and H2O2 content were consistently altered under all stress conditions, but higher values were recorded under salinity alone and in combination. Salinity alone and in stress combinations (especially with cold) provided a stronger hierarchical effect. Despite glycine and GABA osmolytes not significantly changing, proline highlighted the hierarchically stronger impact of salinity, while glycine-betaine was decreased under drought combinations. Untargeted metabolomics pointed out distinct metabolic reprogramming triggered by the different stress conditions, alone or in combination. Pathway analysis revealed that abiotic stresses significantly affected hormones, amino acids and derivates, and secondary metabolites. Flavonoids accumulated under drought (alone and combined with heat and cold stresses), while N-containing compounds decreased under all combined stresses. Looking at the interactions across the parameters investigated, antagonistic, additive, or synergistic effects could be observed depending on the biochemical process considered. Notwithstanding, these results contribute to delving into the impact of various stress combinations, hierarchically highlighting the stress-specific effects and pointing out different combinations.

Designing climate-resilient sustainable drainage system (SuDS) for mass rapid transit (MRT) development: A hydrodynamic modelling approach

The progressive industrialisation and urbanisation of urban areas have significantly altered hydrological factors such as terrain, imperviousness, and surface flow. These developments, accompanied by increased traffic congestion and carbon emissions, contribute to climate change. Consequently, implementing Mass Rapid Transit (MRT) systems is crucial for alleviating traffic congestion and reducing carbon emissions globally. However, the changes in urban hydrology following development, combined with increased rainfall due to climate change, exacerbate risks of flooding, erosion, and sedimentation for the MRT development and surrounding low-lying areas. Therefore, researching urban drainage systems under climate change conditions for MRT development is essential. This study utilised 1D/2D hydrodynamic modelling and simulation to investigate the performance of an existing MRT drainage system designed with a control-at-source concept and a new sustainable drainage system incorporating infiltration engineering and flow-retarding techniques, including porous layers and a bioecological system to mitigate urban flooding erosion and sedimentation. The results show that the new sustainable drainage system, featuring permeable pavements and bioretention facilities, effectively integrates 30% of the MRT-developed land typology without requiring additional land acquisition, which is cost-effective and practical for mitigating major flooding and reducing total suspended solids, thereby controlling erosion and sedimentation.

The need for health equitable climate adaptation policies in Northern Europe.

Socioeconomic conditions remain an important factor in determining health outcomes in Northern Europe. In this commentary, we argue for evidence-based temperature-related climate adaptation policies in Northern Europe that account for disparities in socioeconomic conditions and aim at universal health coverage. We highlight the role of spatial and occupational disparities in urban areas that can be important factors in increased physical and mental health impacts related to heat and cold. We further highlight how these factors interplay with exposure to air pollution and access to green areas and worsen health conditions. Adaptation to changing climatic conditions requires both physiological acclimatization and behavioral adaptation, both of which are difficult to assess for socioeconomically deprived communities. We argue for more equitable climate adaptation strategies that include i) better integration of health in climate change adaptation plans; ii) building climate resilient communities, and iii) integrated surveillance and health systems. These actions could be vital in spearheading research in new cross-cutting areas like climate change, migration, and health.

Impact of climate change on high wind and solar optimal mixes and system costs: the case of France

Abstract. The electricity generation sector is undergoing profound transformations via the introduction of wind and solar energies. It is impacted by changing climate conditions, both on the demand and the supply side. The impact of a change in wind and solar resource coupled to the change in demand has however not been studied in regard of its effect on optimal investment decisions. We tackle this issue through the use of regional climate projections coupled to a minimalistic electricity system modeling tool. We find that for the case of France, increasing levels of climate change tend to decrease the optimal penetration of wind energy, while the optimal level of installed solar energy remains constant. We propose that this is explained by the interplay of an average effect coupled to a demand to generation correlation. To the contrary of previous literature, we find that the sole impact of climate change has no adverse consequences on system total costs, with adaptation measures being less attractive economically than their passive counterparts. This highlights the importance of specifying the working hypotheses and phenomena taken into account when issuing policymaking advice, and calls for further research exploring how combining all processes related to climate change impact all relevant elements of the electricity generation sector. We also encourage continued research at the climate and energy interface, to increase the precision and interpretability of similar studies.

Identification of Mango Cultivars’ Resistance Against Red Spider Mite: Impact of Climate Elements on Resistance Performance

The use of resistant plants is recognized as an environmentally friendly measure for mite control. Oligonychus mangiferus, known as the mango red spider mite (MRSM), is a dangerous pest for mango production. To date, the resistance levels of the mango germplasms against the MRSM remain largely unknown. Furthermore, the environmental factors potentially influencing resistance performance have been seldom discussed. To fill those knowledge gaps, this study aimed to identify the resistance level of twelve mango cultivars against the MRSM. Based on three rounds of greenhouse and five seasons of field tests, cultivars with distinct resistant levels were identified. When exploring the climate impact, we found that for the susceptible cultivars, precipitation is the primary external environment factor altering the resistance performance, while temperature presents a secondary effect, and air humidity did not show a significant impact on MRSM resistance. By contrast, MRSM-resistant cultivars were not prone to be affected by changing climate conditions. Furthermore, yield tests indicated that the resistant cultivars can better reduce the yield losses compared with the susceptible ones. This study illustrated the climate element-driven effect on mango tree resistance performance against the MRSM, which can provide insight into insect pest management under changing climate conditions.

Effect of Seed Treatment and Sowing Time on Microdochium spp. Caused Root Rot in Winter Wheat Cultivars

Microdochium species are harmful pathogens of winter cereals, causing snow mould and stem base diseases such as root rot. With changing climatic conditions, including prolonged wet autumns and mild winters, addressing pathogens that thrive at low positive temperatures has become increasingly important. Integrated strategies, including optimized sowing times, resistant cultivars, and the use of seed treatment fungicides have been suggested as effective approaches to mitigate Microdochium-induced damage. Field trials were conducted between 2021 and 2024 using five winter wheat cultivars treated with different seed treatment fungicides and sown at either optimal or delayed sowing times. Laboratory analyses identified Microdochium spp. as the dominant pathogens on the stem base across all trial years. Disease severity assessments indicated that seed treatment fungicides were generally effective against root rot, with products containing fludioxonil and SDHI group fungicides delivering the best performance. While disease pressure varied between optimal and late sowing experiments, late-sown winter wheat exhibited slightly reduced damage in most years. Additionally, some of the tested winter wheat cultivars demonstrated better performance against Microdochium spp. damage compared to others, highlighting the importance of selecting resistant cultivars. This study provides valuable insights into the control of Microdochium spp. under changing climatic conditions, particularly during the early growth stages of winter wheat.

GIS and remote sensing based assessment of West Rapti River channel migration in Nepal

Abrupt changes in climatic conditions trigger river channels to migrate laterally due to changes in surface water conditions. West Rapti River in the Terai, a flat geographic region of Nepal with high mountains and Chure Hill on the north, is highly susceptible to water-induced disasters. Geographical Information System and Remotely Sensed Imageries were used to analyze the spatio-temporal changes of West Rapti River between 1990 and 2023, to assess their impact within the approximately 53 km range of Deukhuri Valley (Dune Valley). Using freely available Landsat satellite imagery we extracted water surface features through the Normalized Difference Water Index and generated 27 cross-sections (CS) to track channel shift. Those cross-sections were generated in the gap of 2000 m using the River Bathymetry Toolkit (RBT) to assess the Sinuosity & Braiding Index of the river channel within the planform. This study found that river channels migrated laterally determined as significant shifts, notably 1.43 km towards the northeast within CS-23 and 0.72 km towards the south direction within CS-25 in the last 33 years. Nearly no shifting impact was observed from CS-12 to CS-17 showing embankment and mitigation efforts being effective within this range. The study shows the river is naturally multi-channeled and exhibits a braided pattern with sinuosity index values ranging from 1.02 to 1.38, indicating highly braided conditions during 2010 and 2015. The river channel was found to be driven by a high sediment deposit of about 15.35 Sq. km across the 53 km range. These results are crucial for formulating integrated river basin management plans in the West Rapti River basin laying the foundation for future research to explore sustainable river management practices in the future.

Unveiling the power duo: Agriculture and Social Science take center stage in the evolution of Climate Change Adaptation research in South Africa

Abstract Global changes in climatic conditions threaten the world’s socio-economic development, including South Africa (SA). Climate change adaptation (CCA) research in SA has grown in number (publication rate) and importance (influence on different sectors) over time. A growing body of research uses systematic literature reviews to examine themes within this rapidly evolving field. However, there is still a lack of analysis on the current state of CCA science literature in SA and its evolution over time. This paper fills this gap by providing a cross-validated bibliometric review of scientific literature on CCA in SA using Scopus and Web of Science (WoS) databases. The review is constructed across time, between databases, within databases and on most preferred journals. This transdisciplinary analysis of CCA literature and dominant research themes and priorities spanning 1966–2022 examines how they relate to SA’s adaptation strategy in response to climate change. CCA research has evolved in South Africa. Since 2011/12, publication rates have grown exponentially, averaging between 5 and 26% yearly. Term diversity peaked in 2018 when the publication rate reached 100 publications per year. This exponential development can be explained using themes of clustered terms over time, i.e. biodiversity emerging around 2015/16, Climate & Yield around 2017, and Agriculture & CCA, respectively, in 2018, with 41% similarity between Scopus and Web of Science. Future research needs to advance the monitoring of activities and outcomes on adaptation throughout the thematic evolution period.

Phenotypic characterization of rice wild introgression lines under low soil phosphorus conditions for yield and seedling vigour related traits

BackgroundIn India majority of the cultivable land area is becoming nutrient deficient, thus the development of tolerant varieties that can sustain under various stresses is essential. Identification of vigorous and nutrient-use-efficient rice genotypes is required for future breeding programmes. Such donor genotypes are prerequisites to develop high yielding varieties that can survive and yield under both normal and adverse conditions. Seedling vigour is an important trait that helps in the early survival of crop in input-limited environments. Thus, the present study was aimed at characterizing rice wild introgression lines for seedling vigour index and yield under both low and normal recommended doses of phosphorous (P) conditions.MethodologiesA total of fifteen rice genotypes, including 12 wild introgression lines and 3 check varieties, were evaluated in randomized block design with three replications under both low and normal recommended doses of phosphorous for agronomic traits. The genotypes were also evaluated for seedling vigour indices on the 7th day and 14th day under laboratory conditions.ResultsThe study detected a significant difference for all the traits among genotypes grown under normal and low P conditions. Trait association revealed a significant correlation of single plant yield with fresh root weight and seedling vigour index 2 at 14 days after germination under normal P conditions. Similarly, under low P conditions, single plant yield exhibited a significant association with fresh root weight and fresh shoot weight at 7 days. Seedling vigour index 2 exhibited a significant positive correlation with fresh root weight and fresh shoot weight under normal and low P conditions. Further stress tolerance indices were estimated to detect the nutrient stress tolerance under low P conditions, and the study showed that Stress Tolerance Index (STI) and Geometric Mean Productivity (GMP) are the better indices and the genotypes NPS56-2, NPK55 were observed as tolerant. Similarly, the genotype R-58, and NDR-359 reported a less percentage of yield reduction and with moderate to high STI, GMP values indicates the stable yielding ability of these genotypes. The study concludes the potential of these cultivars for the simultaneous improvement of yield and seedling vigour traits in changing climatic conditions.

The Effect of Replacing Levels of Compounded Feed by Cowpea bean (Vigna marina) Stems and Leaves in the Diet on the Growth of Bach Thao Goat

Background: The study aimed to identify the impact of Cowpea bean replacement on goat growth as a basis for developing a sustainable meat-goat farming model under climate change conditions. Methods: The experiment was conducted over a period of 60 days (including a 10-day adaptation period), on 18 Bach Thao male goats, approximately 4 to 5 months old, arranged in a completely randomized design with 3 treatments and 6 replications. Treatment1: 30% compound feed + 70% para grass, Treatment 2: 15% compound feed + 15% Cowpea Bean stems and leaves + 70% para grass and Treatment 3: 0 % compound feed + 30 % Cowpea Bean stems and leaves + 70% para grass. Result: Results showed that live weight gain (g/head/day) had a statistical difference between the experiment treatments (P less than 0.01), with the highest gain in 30% compound feed of diet at 104 g/head/day; following 15% compound feed of diet at 52g/head/day and finally 0 % compound feed in the diet at 57 g/head/day.

Role of micronutrients in production and reproduction of farm animals under climate change scenario.

Climate change poses significant challenges to livestock production worldwide. Wherein, it affects communities in developing nations primarily dependent on agriculture and animal husbandry. Its direct and indirect deleterious effects on agriculture and animal husbandry includes aberrant changes in weather patterns resulting in disturbed homeorhetic mechanism of livestock vis a vis indirectly affecting nutrient composition of feed and fodder. The nutritional stress (i.e. non-availability of nutrients in the required quantity and quality for particular livestock) is the critical factor affecting livestock performance, productivity, and reproductive efficiency. Nutritional stress may arise from both macro- and micro- nutrient imbalances; however, micronutrients are of paramount importance in climate change context due to their role in various vital functions of body namely, body metabolism, production, reproduction, and health. The micronutrients, minerals and vitamins, when supplied in adequate quantity and proportion aid in mitigating the stress induced by climate change on animals. Here, we tried to discuss the impact of climate change induced stresses on milk production, reproduction, and metabolic acclimation of heat-stressed animals. Furthermore, emphasis is given on the importance of dietary micronutrients management strategies to support livestock health and resilience during changing climatic conditions. By addressing the nutritional needs of livestock, farmers can achieve sustainability and well-being in livestock production under changing climatic condition.

Seasonal dynamics and functional diversity of soil nematode communities under treated wastewater irrigation in abandoned agricultural soils.

The use of treated wastewater (TWW) for agricultural irrigation is becoming more popular as a sustainable alternative to freshwater due to increasing water scarcity. While considerable research exists on the effects of TWW on soil microorganisms, its impact on soil nematodes, key indicators of soil health remains unexplored. This study assessed the effects of two years of TWW irrigation on soil nematode communities in abandoned fields cultivated with Lavender, Anise, Olive and Pomegranate trees. Seasonal soil samples were analyzed for nematode abundance, community composition and ecological indices. TWW irrigation modified soil nematode community structure, favoring the dominance of bacterivores (Acrobeloides) while suppressing plant-parasitic nematodes (Pratylenchus, Bitylenchus). Nematode-based indices showed no significant differences between TWW- and freshwater-irrigated soils, indicating stable and resilient communities. Seasonal precipitation levels strongly influenced nematode abundances, highlighting environmental resilience. Plant species did not create ecological niches, probably due to the strong influence of precipitation and soil properties; nevertheless, plant establishment increased nematode diversity over time, with omnivores and predators emerging alongside bacterivores and fungivores, reflecting recovery dynamics. Even though TWW irrigation is considered a type of disturbance, it facilitated soil nematode diversity and maintained ecological stability. Properly treated wastewater serves as a sustainable irrigation method that enhances soil health and biodiversity, rendering it a viable alternative for agricultural systems in degraded and water-scarce areas under changing climatic conditions.

Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions

Prediction of surface runoff quality and quantity using an integrated model and machine learning under climate change conditions

Will Olive Groves have a Future Under Climate Change Conditions in The North Aegean Sub-Region, a Mediterranean Agricultural Ecosystem of Türkiye?

The study is aimed at investigating future changes in sustainability of olive farming by means of climate change, and changes in agricultural climatic suitableness and phenology of olive tree cultivation in the North Aegean sub-region of Türkiye mainly characterised with dry summer subtropical Mediterranean climate. According to projected changes based on RCP8.5 scenario, projected warming reaches an average of 5-6°C increase indicating most negative condition on olive cultivation. According to RCP8.5 scenario annual precipitation projections, present suitable areas of olive groves will decrease in the period of 2049-2073, and almost the entire study area will be in the category of medium suitable. With respect to projected Emberger Bioclimate classification, for RCP 8.5 scenario, there will be a significant increase in dry-sub humid areas in the period of 2049-2073. This increase will cover up the coastal areas in the period of 2074-2098, and even all the study region will be very likely characterised with dry-sub humid and semi-arid Mediterranean bioclimatic types except for some coastal areas. An increase of about 6°C is expected in maximum values of maximum air temperatures during the bud swelling periods in the spring, especially after 2050 under RCP8.5 scenario. This increase in extreme maximum temperatures may cause olive trees to bloom earlier and prolong the growth period. By regarding the high vernalization requirement of main olive variety in the study area, a 6°C temperature increase may significantly decrease olive yields and will force farmers to transition to new varieties with relatively low vernalization requirements. According to both RCP scenarios, there is a possibility of extension of suitable areas for olive cultivation towards low to mid-elevation plateaus and mid-elevation slopes of mountainous areas and high plateaus particularly facing suitable aspects to lower negative effects of projected future warming and dryness.

Dependence of rainfall–runoff model performance on calibration conditions under changing climatic conditions

ABSTRACT Calibration period selection is crucial for rainfall–runoff (RR) models in stationary and non-stationary climates. In this study, we assessed the impact of four calibration conditions on RR model performance: calibration duration, temporal lag between calibration and simulation periods, variation in rainfall volume, and rainfall patterns similarity. To ensure the generalizability of our findings, we used five RR models (GR4J, Simhyd, WASMOD, HBV, and XAJ) to simulate streamflow across two catchments in Iran with stationary and non-stationary climate conditions. Our results show that catchments exhibiting non-stationary RR relationships necessitate longer calibration periods to obtain stable simulations. Model performance gradually drops as the temporal lag between the calibration and simulation periods increases. This drop in performance is even more pronounced in catchments experiencing non-stationary climate conditions. Similarity in rainfall volume is more important than rainfall pattern similarity for predicting future streamflow in non-stationary RR relationships.

Effect of salicylic acid on tomato plant growth and productivity under the changing climatic conditions

Effect of salicylic acid on tomato plant growth and productivity under the changing climatic conditions

Understanding the spread of agriculture in the Western Mediterranean (6th-3rd millennia BC) with Machine Learning tools

The first Neolithic farmers arrived in the Western Mediterranean area from the East. They established settlements in coastal areas and over time migrated to new environments, adapting to changing ecological and climatic conditions. While farming practices and settlements in the Western Mediterranean differ greatly from those known in the Eastern Mediterranean and central Europe, the extent to which these differences are connected to the local environment and climate is unclear. Here, we tackle this question by compiling data and proxies at a superregional and multi-scale level, including archaeobotanical information, radiocarbon dates and paleoclimatic models, then applying a machine learning approach to investigate the impact of ecological and climatic constraints on the first Neolithic humans and crops. This approach facilitates calculating the pace of spread of farming in the Western Mediterranean area, modelling and estimating the potential areas suitable for settlement location, and discriminating distinct types of crop cultivation under changing climatic conditions that characterized the period 5900 – 2300 cal. BC. The results of this study shed light onto the past climate variability and its influence on human distribution in the Western Mediterranean area, but also discriminate sensitive parameters for successful agricultural practices.