Influence Of Climatic Factors Research Articles

Influence of Climate Factors on Aman Rice Yield in Bangladesh: Co-Integration and Vector Error Correction Model Approach

Climate factors’ consequence on human performance has occurred as a worldwide apprehension in the earlier 30 years. This study explores climate factors’ influence on Aman rice production in Bangladesh. Co-integration and Vector Error Correction Model approximation procedure is applied to measure the climate-crop harvest interrelation on the basis of country-level time series data for the time 1972-2019. Changing in mean maximum and minimum temperature, annual men rainfall, and average humidity are used as characteristic variables for climate factors. The result of the vector error correction model denotes that both in the long-run and short-run, average maximum temperature and average total rainfall inversely affect Aman rice yield in Bangladesh respectively. Average minimum temperature and average humidity positively affect Aman rice production in the short run respectively. Fertilizers and irrigation have a positive influence on Aman rice yield in the short-run correspondingly. Conversely, labor has a robust negative consequence on Aman rice yield in the short-run in Bangladesh agriculture. Policymakers would develop policies to control temperature and introduce heat-tolerant rice varieties and adaptation measures to sustain Aman rice production in Bangladesh.

Lasiodiplodia species associated with mango (Mangifera indica L.) decline in Burkina Faso and influence of climatic factors on the disease distribution

Dieback or decline caused by Lasiodiplodia spp. is a major disease of mango trees (Mangifera indica L.). The main objectives of this study were to identify Lasiodiplodia species associated with mango decline in Burkina Faso, and to asses the climatic and edaphic factors affecting the geographic distribution of the disease in the country. The genetic diversity of 47 Lasiodiplodia isolates was studied based on sequence data of the translation elongation factor 1-alpha gene (tef1-a) and the rDNA internal transcribed spacer region (ITS). Phylogeny analyses grouped the isolates from Burkina Faso with 6 different Lasiodiplodia species, including L. euphorbicola that accounted for 36 of the 47 isolates. Lasiodiplodia isolates tested on mango seedlings induced the typical dieback symptoms. Disease incidence and severity were generally higher in the drier and warmer regions (eastern) of the country. This study provides the required information to establish control strategies against mango decline in Burkina Faso.

Development and research of syntactic foams for antenna devices parts manufacture

Foam plastics are always widely used in antenna-feeder systems due to the low values of the dielectric constant ε and the tangent of the dielectric loss angle tgδ. Structural elements of such antennas are usually made by gluing blanks cut from expanded polystyrene plates or from filling polyurethane foam. However, these methods turned out to be low-tech due to the high labor intensity of the process, the inhomogeneity of the dielectric properties of structures and the unsatisfactory quality of the painted surface due to the low chemical resistance of these materials to solvents of paint and varnish materials. Syntactic foams, which are a special type of gas-filled polymers, in which hollow spherical filler particles are distributed, in comparison with traditional foams, have increased mechanical strength, electrical strength, resistance to climatic factors, less density difference and better surface quality. It is the advantages of syntactic foams listed above that make them relevant materials in the manufacture of structural elements of antennas. The purpose of the work is to study the possibility of obtaining products from low-density syntactic foam by combining an expandable polymer matrix with a filler in the form of hollow glass microspheres. The limits of filling the polymer matrix by the filler have been established. The material dielectric characteristics (dielectric constant ε and the tangent of the dielectric loss angle tgδ) and strength (compression stress at 10% deformation) characteristics have been investigated. The resistance of the material to the influence of climatic factors has been investigated. The technology of manufacturing the product by the flooding method has been developed. Also the effect of paint and varnish coatings on surface quality and dielectric characteristics of foams of low density has been investigated. The obtained results can be used to create structural elements of antennas.

Profiling and geographical distribution of seed oil content of sunflower in Ukraine

The sunflower has the potential to be a highly competitive crop owing to its diversity market and the valuable oil it produces. Nevertheless, the amount of sunflower seed oil – a key factor for the crushing industry – is affected by genotype and environment, which sometimes is difficult to predict. The paper analyzes the theoretical principles of sunflower growth in Ukraine, highlights the current trends in the sowing of this crop, the influence of climatic factors of the environment on the prospects of the oilseed sunflower yield. The results of the research are presented for 3 years (2014–2016), during the authors conducted a grain quality observatory at the regional level, taking into account the climatic conditions of sunflower growth in different natural zones of Ukraine (from 45° to 51° north latitude and from 22° to 37° east longitude). Additionally, the research includes the coefficient of significance of the deviation from long-term climatic indicators, which makes it possible to forecast sunflower yield in the future. The analyzed data was obtained from the commercial fields with a minimum area of 40 ​ha in all Ukrainian regions except Crimea peninsula, Donetsk and Luhansk regions. The results obtained in research show the great diversity of oil content index as per both latitude and longitude meaning. If we consider the entire country, this survey shows that the seed oil content can change dramatically from year to year: e.g. 47.5% in one year versus 45.7% in another year. Regionally, these changes have a completely different dynamic with a gradual decrease in seed oil content in the southern part of the country. The main goal of the research was to identify the best sunflower growing areas in Ukraine according to the oil content index.

Macro-analysis of climatic factors for COVID-19 pandemic based on Köppen–Geiger climate classification

This study integrated dynamic models and statistical methods to design a novel macroanalysis approach to judge the climate impacts. First, the incidence difference across Köppen-Geiger climate regions was used to determine the four risk areas. Then, the effective influence of climate factors was proved according to the non-climate factors' non-difference among the risk areas, multi-source non-major component data assisting the proof. It is found that cold steppe arid climates and wet temperate climates are more likely to transmit SARS-CoV-2 among human beings. Although the results verified that the global optimum temperature was around 10 °C, and the average humidity was 71%, there was evident heterogeneity among different climate risk areas. The first-grade and fourth-grade risk regions in the Northern Hemisphere and fourth-grade risk regions in the Southern Hemisphere are more sensitive to temperature. However, the third-grade risk region in the Southern Hemisphere is more sensitive to relative humidity. The Southern Hemisphere's third-grade and fourth-grade risk regions are more sensitive to precipitation.

Post-drought moisture condition determines tree growth recovery after extreme drought events in the Tianshan Mountains, northwestern China

Recently, forests in the Tianshan Mountains have shown a marked decline in growth and an increased mortality rate because of the more frequent and severe effects of extreme drought, which threatens the ecosystem services they provide. To achieve forest conservation and sustainable development benefits, it is crucial to understand the post-drought recovery trajectory of tree growth and its driving factors. In this study, we quantified the growth recovery performance of dominant tree species in the Tianshan Mountains after extreme drought events and determined the influences of climate factors on forest growth resilience using tree-ring proxy data. The results showed that post-drought moisture conditions may determine the post-drought growth recovery of trees. The post-drought growth for 1997 was higher than that for 1974, which may be attributed to the subsequent period of 1997 experiencing very high precipitation, whereas the year following the 1974 drought was dry (Standardized Precipitation Evapotranspiration Index < 0). Because of the more favorable climate conditions in the post-drought period, the observed relationship between resistance and recovery in 1997 showed a closer fit to the hypothetical “line of full resilience” which sets resilience to a constant value of 1, allowing trees to recover fully at any given value of resistance. Trees showed lower mean values of the tree growth recovery index (RC) and average recovery rate (ARR) and higher mean values of total growth reduction (TGR) and recovery period (RE) for the drought event in 1974 than that in 1997. We distinguished the relative influence of temperature and precipitation on different drought phases using Boosted Regression Tree (BRT) model. The results showed that the climate conditions during the drought year and subsequent precipitation variation were most influential variables for tree growth recovery. Specifically, post-drought precipitation explained up to 20 % of the variance in RC, TGR, RE, and ARR. These findings deepen our understanding of the impacts of prolonged drought on tree growth, which could aid in developing forest management and conservation strategies to respond to extreme drought.

LAND COVER DYNAMIC CHANGE MODES ANALYSIS BASED ON EMPIRICAL MODE DECOMPOSITION

Abstract. The dynamic change mode of land cover not only reflects the change characteristics of the land cover itself, but also reflects the influence exerted by external factors. Empirical mode decomposition is an effective time-frequency analysis method for nonlinear and nonstationary signals. In this paper, empirical mode decomposition firstly uses to each pixel time series to get its intrinsic mode functions, each intrinsic mode function relates to change mode with some time scale, clustering those intrinsic mode functions over the image, and different land cover change modes are obtained. The experimental dataset used is MODIS subset from the Jan 2011 to Dec 2020, located in the Ningxia Hui Autonomous Region, China. The clustering results of half-annual cycle and one-year cycle of intrinsic mode functions show the influence of local climate and policy factors on land cover change.

The influence of atmospheric precipitation on the formation of the flow of the Zolota Lypa River during 1945-2015

The article describes the main natural conditions and factors of runoff formation in the Zolota Lypa river basin. An analysis of existing studies of river flow was carried out. The experience of measuring the main characteristics of atmospheric precipitation and methods of river flow analysis are analyzed. The trend of air temperature changes during the observation period from 1945 to 2015 was determined and analyzed. The regime of atmospheric precipitation within the basin of the Zolota Lypa River was studied. Long-term changes and intra-annual distribution of atmospheric precipitation, in particular rain, were analyzed, and based on the data of observations of the Berezhany weather station. Periods of atmospheric precipitation fluctuations relative to the standard norm were identified and the influence of atmospheric precipitation on the formation of runoff was determined. The graph of the dependence of the flow of the Zolota Lypa River on atmospheric precipitation showed a fairly clear dependence between the variable values of the flow and atmospheric precipitation. Research of precipitation, water balance of river basins, and the impact of precipitation on river runoff remain relevant in the context of global and regional climate change. Nowadays, many scientific researches all over the world are devoted to the research of the problem of river runoff change under the influence of climatic factors. This kind of research has been developing strongly in Ukraine in recent decades. The basin of the river Zolota Lypa has a temperate-continental climate with mild summers, mild winters and sufficient rainfall. This area is flat, there are no high mountains. That is why during the year it is under the influence of cyclones that form over the Atlantic Ocean and arctic air masses that come in the form of high pressure cores. The average annual runoff is characterized by rather complex patterns of change both in time and space. There are periodic, cyclical and unidirectional changes that occur under the influence of a complex system of factors. Climate is a major factor of the water change. To determine the effect of precipitation on river runoff, the method of comparing difference-integral curves of annual runoff and precipitation, as well as water-balance methods are used. Long-term changes and intra-annual distribution of precipitation, in particular rainfall, according to the observations of the meteorological station Berezhany were analyzed. We constructed a differential integrated curve of modular coefficients of the average annual precipitation. It clearly reflects the cyclical changes in precipitation. Long-term changes and intra-annual distribution of water runoff in the Zolota Lypa River also were analyzed. During the observation period, periods of long-term fluctuations of the average annual precipitation were revealed. The average annual rainfall is 631,8 mm. The annual course is stable, in the greatest amount of precipitation falls in the summer, when there are intense thunderstorms and showers, the least – in winter. For the analysis of the water regime of the Zolota Lypa River, observation data from two hydrological stations (Berezhany and Zadariv) were used. According to the graph of the dependence of the flow of the Zolota Lypa River on precipitation for the studied period, a fairly clear connection between the variable values of the flow and precipitation can be traced. To assess the closeness of the relationship between the amount of precipitation and water consumption, a correlation coefficient of 0.74 was calculated, which is a positive approximation. In this case (with a close connection), it can be asserted that the flow of the main watercourses within the basin of the Zolota Lypa River is directly dependent on the amount of precipitation. Keywords: atmospheric precipitation, river runoff, standard climate norm, difference integral curve, correlation coefficien.

The influence of some climatic factors on the development of solar energy in the Chernivtsi region

The thesis explores the influence of climatic factors on the development of solar energy in Chernivtsi region. Emphasis is placed on studying the impact of geographical location and the duration of the day on the formation of solar radiation and, as a result, on the capacity of solar power plants. It has been established that the capacity of solar power plants and the volume of electricity production depend largely on the duration of the day and the amount of solar radiation received by solar panels from the surrounding environment. The amount of direct and scattered radiation that reaches solar panels for electricity production is significantly affected by cloud cover (cloudiness). Therefore, considerable attention is given to the study of the influence of sky cloudiness on the efficiency of solar panels. Analysis of the data obtained from the meteorological station at Chernivtsi airport revealed that the highest degree of cloudiness in Chernivtsi region is observed during the winter months. Consequently, as a result of this research, it has been found that the mentioned factors significantly affect the capacity of solar panels and the volumes of electricity production. The most favorable period for solar energy production is summer, while the winter creates the least favorable conditions for its functioning. The study emphasizes the seasonal dependence of solar energy capacities in Chernivtsi region. Keywords: solar energy, climatic factors, cloudiness, solar radiation.

Interaction of Climate Change and Anthropogenic Activity on the Spatiotemporal Changes of Surface Water Area in Horqin Sandy Land, China

Surface water dynamics are sensitive to climate change and anthropogenic activity, and they exert important feedback to the above two processes. However, it is unclear how climate and human activity affect surface water variation, especially in semi-arid regions, such as Horqin Sandy Land (HQSL), a typical part of the fragile region for intensive interaction of climate and land use change in northern China. We investigated the changes of spatiotemporal distribution and the influence of climatic and anthropogenic factors on Surface Water Area (SWA) in HQSL. There are 5933 Landsat images used in this research, which were processed on the Google Earth Engine cloud platform to extract water bodies by vegetation index and water index method. The results revealed that the area and number of water bodies showed a significant decrease in HQSL from 1985 to 2020. Spatially, the SWA experienced different amplitudes of variation in the Animal Husbandry Dominated Region (AHDR) and in the Agriculture Dominated Region (ADR) during two periods; many water bodies even dried up and disappeared in HQSL. Hierarchical partitioning analysis showed that the SWA of both regions was primarily influenced by climatic factors during the pre-change period (1985–2000; the mutation occurred in 2000), and human activity has become more and more significantly important during the post-change period (2001–2020). Thus, it is predictable that SWA variation in the following decades will be influenced by the interaction of climate change and human activity, even more by the later in HQSL, and the social sectors have to improve their ability to adapt to climate change by modifying land use strategy and techniques toward the sustainable development of water resources.

Spatial variation and relationship between soil dissolved organic matter and bacterial community in urban greenspaces

Large-scale investigations of soil dissolved organic matter (DOM) and the relationship between bacterial diversity and DOM with climatic gradients are important to reveal the influence of climatic factors on soil DOM. The objectives of this study were to (1) investigate the distribution pattern of DOM at a large scale, (2) investigate the effects of climate change on DOM components and microbial communities, and (3) investigate the relationship between microbial communities and DOM components. This study involved the collection of 54 urban greenspaces samples from five climate zones in mainland China and utilization of FT-ICR-MS and 16S rRNA sequencing techniques to reveal the relationship between microbial communities and DOM. Our results showed that the DOM in soil was DOM inated by lignins, followed by proteins, unsaturated hydrocarbons and lipids. Structural equation modeling (SEM) indicated that lignins and proteins shared a negative response pattern with mean annual precipitation (MAP), while lipids and tannins showed a positive correlation with MAP. The differences in bacterial community composition among different climatic zones were not significant, and the DOM inant bacteria in the soil were Proteobacteria, followed by Acidobacteria and Actinobacteria. Bacterial diversity was highest in the subtropical monsoon climate, lowest in the tropical monsoon climate. In addition, SEM indicated that there was a significant correlation between the composition and diversity of DOM and the diversity and abundance of bacteria. Our results provided a deeper understanding of the impact of climatic factors on DOM components and the relationship between bacterial diversity and DOM in urban greenspaces.Graphical

Wavelet coherence analysis of PM2.5 variability in response to meteorological changes in South Asian cities

Assessment of trends and variability of atmospheric particles can help set the target for pollution reduction, robust air-pollution and climate change policy decision-making, and clean air. This study investigated the recent trends and variability of Particulate Matter 2.5 (PM2.5) concentrations led by meteorological factors in fifteen major South Asian cities. It comprehensively assessed the influence of climatic factors through multiple statistical and time-frequency models. Trends were identified using the Mann-Kendal Test and innovative trend analysis methods. This study found the most critical air quality condition in Lahore (105.43 μg/m3), safe condition in Ho Chi Minh City (25.97 μg/m3), and most of the cities experience unhealthy to very unhealthy air conditions during winter. PM2.5 levels exhibited ascending trends in Dhaka, Jakarta, Lahore, Karachi, and Islamabad, while descending trends in Delhi, Mumbai, Hyderabad, Kolkata, Chennai, Kathmandu, Rangoon, Hanoi, Vientiane, and Ho Chi Minh City. Statistical models such as linear regression, Pearson's correlation, and Spearman rank correlation were applied to determine the influence of temperature, rainfall, humidity, and windspeed on PM2.5 concentrations. Despite the differences in climate conditions, PM2.5 concentrations were most sensitive to humidity, followed by temperature, rainfall, and windspeed across most cities. Most cities showed a negative relationship between PM2.5 and meteorological factors. Bi-wavelet coherence (WC) analyses were performed to investigate how the frequency components of PM2.5 and meteorological factors relate to each other over time. This WC analysis showed a high correlation with phase and antiphase correlations and demonstrated that all meteorological factors have influenced PM2.5 concentrations over time.

Spatiotemporal variability in extreme precipitation and associated large-scale climate mechanisms in Central Asia from 1950 to 2019

Increased sea surface temperature, evaporation, air temperature, and moisture holding capacity associated with climate change may the enhance transport of moisture to Central Asia (CA), resulting in increased extreme precipitation events (EPEs). Changes in EPEs may affect the socioeconomic and ecological environment in typical arid and semi-arid regions of CA. Therefore, based on meteorological station data and four reanalyzed precipitation datasets, we used the Taylor diagram, Geo-Detector method, and other methods to examine 10 EPE indices in CA from 1950 to 2019, analyzed their spatial-temporal trends, and quantified the influence of large-scale climate factors on EPEs. The results showed that GSWP3_W5E5 was the optimal option with better performance in terms of monthly and annual precipitation in CA. Overall, EPEs in CA showed an increasing trend, but an abrupt point was found in 1986, when very wet day precipitation (R95p) increased from 36.64 to 47.84 mm; the increasing rate also changed from 0.8 to 5.06 mm/10a. The changes in the Northern Hemisphere Subtropical High Intensity Index (NSI), NINO B Area Sea Surface Temperature Anomaly Index (NINOB), Asian Zonal Circulation Index, and Atlantic Multidecadal Oscillation Index are the main reasons for the increase in EPEs; the NSI and NINOB had the largest contributions to EPEs, with at 44.32 % and 43.80 %, respectively. Additionally, two-factor interactions had a more significant influence. Further analysis revealed that the abnormal warming of sea surface temperature and others led to the strengthen of water vapor transport in CA caused by a series of cyclones and anticyclonic anomalies in the westerly circulation zone, leading to the increase of EPEs. The results obtained in this study can contribute to a more comprehensive understanding of the changes in EPEs and provide a reference for water resource management and disaster prevention in CA.

The influence of climatic factors in the seasonal fluctuation of urolithiasis and the trend of stone disease management in the southern Taiwan

This study aims to analyze the effects of climate parameters on the number of urolithiasis treatments in our hospital and understand the effects of climate parameters on the prevalence of urolithiasis in southern Taiwan. We also look at trends associated with urolithiasis and treatments. Retrospectively reviewed the records of extracorporeal shockwave lithotripsy (ESWL), ureteroscopy (URS), retrograde intrarenal surgery (RIRS), and percutaneous nephrolithotripsy (PCNL) performed in our hospital from January 2012 to December 2018. Climate data for were collected from Central Weather Bureau. The monthly meteorological data included average temperatures, humidity, rainfall, sunshine hours, atmospheric pressure, and wind speed. Monthly numbers of patients undergoing stone management was positively correlated to average temperature (r = 0.657), relative humidity (r = 0.234), monthly rainfall (r = 0.261) and monthly sunshine hours (r = 0.348), while it was negatively correlated to atmospheric pressure (r = -0.522). The multivariate linear regression model demonstrated temperature (ß = 10.682, 95% CI 6.178-14.646, p < 0.001) and Relative humidity (ß = -95% CI -5.233- -1.216, p = 0.002) to be independently related to numbers of stone treatment. The data also revealed a rising prevalence of urolithiasis with an associated increase in the number of interventions, with fewer ESWL (74.0-49.4%). Temperature and relative humidity are associated with monthly numbers of stone treatment. Ambient temperature is the most critical climate factor affecting the prevalence of symptomatic urolithiasis and intention of active stone removal in southern Taiwan.

Climate change effects on Chickpea yield and its variability in Andhra Pradesh, India

Farmers usually do not know the precise output that is affected by climatic factors such as temperature and rainfall and are characterized by inter-annual variability, part of which is caused by global climate change. No study covers the influences of climate factors on yield and yield risk in the context of chickpea farming in Andhra Pradesh, India. In this context, this study aimed to investigate the trends in climate change variables during Rabi season (October to January, 1996-2020) and evaluated their variability on chickpea yields across different agro-climatic zones in Andhra Pradesh by employing Just and Pope production function. Four non-parametric methods-Alexandersson’s Standard Normal Homogeneity Test, Buishand’s Range Test, Pettitt’s Test and Von Neumann’s Ratio Test are applied to detect homogeneity in the data. Mann–Kendall (MK) test and Sen’s slope (SS) method were employed to analyze monthly rainfall trends and minimum and maximum temperature trends. Results of Just and Pope (panel data) quadratic and Cobb-Douglas methods revealed that monthly minimum temperature positively influenced the mean yield of chickpea (0.22% and 0.16%, respectively). However, rainfall (-0.41% and -0.31%) and maximum temperature (-0.08% and -0.04%) negatively influenced the mean yield of chickpea under quadratic and Cobb-Douglas models, respectively. Accordingly, rainfall (0.08% and 0.06%) and maximum temperature (0.83% and 0.72%) positively influenced the yield variability and minimum temperature (-0.77% and -0.67%) reduced yield variability of chickpea under quadratic and Cobb-Douglas models respectively. In view of these findings, it is imperative to advocate the farmers about the importance of cultivating drought-tolerant chickpea varieties, drought-proofing and mitigation strategies, micro-irrigation practices and improving their access to agro-meteorological information towards sustainable chickpea cultivation in Andhra Pradesh.

Fluctuating Asymmetry as a Measure of Stress in Natural Populations of Woody Plants: Influence of Ecological and Geographical Factors on Developmental Stability

Fluctuating asymmetry is a sensitive indicator of favorable conditions during the period of individual development. The influence of climatic factors, biotopic conditions, latitude, altitude, and age of plants from the natural populations of the silver birch Betula pendula Roth was analyzed. The material consisted of 13,000 leaves of the silver birch from 11 regions of north-eastern Siberia. The influence of 23 climatic factors and six integrated coefficients characterizing the general suitability of the climate, as well as summer, winter, spring, and autumn was analyzed. The developmental stability of woody plants and, consequently, the level of the FA of the lamina in natural biotopes can vary in a wide range. We found that climatic factors, mainly conditions in the warm season, have a significant impact. We also noted the influence of the age, biotope, and light conditions. For Betula pendula, an increase in FA was registered on the ecological periphery of its range, i.e., on the edge of the forest belt in the north and in the mountains. The data obtained demonstrate the high influence of natural stress-inducing factors on development stability in plants.

Influence of climatic factors on cyanobacteria and green algae development on building surface.

Buildings and monuments are often colonized by microorganisms that can result in colour change and aesthetical and physico-chemical damages. This bio-colonization is dependent of the material and on the environment. In order to better understand and correlate the microbial development at the surface of buildings with meteorological parameters, concentration of green algae and cyanobacteria have been measured using an in situ instrument on the wall of a private habitation in the Parisian region during two periods: spring and fall-winter. Different locations were also chosen to assess the influence of the position (horizontal or vertical) and of the situation (shaded vs. sunny microclimate). The results show that the microorganism development rapidly responds to rainfall events but the response is more intense in winter as temperature is lower and relative humidity (RH) higher. Cyanobacteria are less sensitive to this seasonal effect as they are more resistant to desiccation than green algae. Based on all the data, different dose-response functions have been established to correlate RH, rain and temperature to the green algae concentration. The influence of the microclimate is considered via specific fitting parameters. This approach has to be extended to new campaign measurements but could be very useful to anticipate the effect of climate change.

Evaluating Carbon Sink Potential of Forest Ecosystems under Different Climate Change Scenarios in Yunnan, Southwest China

Nature-based Solutions (NbS) can undoubtedly play a significant role in carbon neutrality strategy. Forests are a major part of the carbon budget in terrestrial ecosystems. The possible response of the carbon balance of southwestern forests to different climate change scenarios was investigated through a series of simulations using the forest ecosystem carbon budget model for China (FORCCHN), which clearly represents the influence of climate factors on forest carbon sequestration. Driven by downscaled global climate model (GCM) data, the FORCCHN evaluates the carbon sink potential of southwestern forest ecosystems under different shared socioeconomic pathways (SSPs). The results indicate that, first, gross primary productivity (GPP), ecosystem respiration (ER) and net primary productivity (NPP) of forest ecosystems are expected to increase from 2020 to 2060. Forest ecosystems will maintain a carbon sink, but net ecosystem productivity (NEP) will peak and begin to decline in the 2030s. Second, not only is the NEP in the SSP1-2.6 scenario higher than in the other climate change scenarios for 2025–2035 and 2043–2058, but the coefficient of variation of the NEP is also narrower than in the other scenarios. Third, in terms of spatial distribution, the carbon sequestration potential of northwest and central Yunnan is significantly higher than that of other regions, with a slight upward trend in NEP in the future. Finally, GPP and ER are significantly positively correlated with temperature and insignificantly correlated with precipitation, and the increasing temperature will have a negative and unstable impact on forest carbon sinks. This study provides a scientific reference for implementing forest management strategies and achieving sustainable development.

Population dynamics of thrips (Insecta: Thysanoptera) in cut chrysanthemum cultivated under photoselective screens

The chrysanthemum is one of the main ornamental species in the world, having high relevance in the market of cut flowers and potted plants. Thrips are among the main pests of the chrysanthemum crop, causing direct and indirect damage to plants. The objective of this work was to evaluate the influence of photoselective screens and climatic factors on the population density of different species of thrips chrysanthemum. The study was carried out in the experimental area of the Instituto Federal do Espírito Santo – Campus Itapina, in a randomized complete block design, with split plots in time. The experiment was established in 3 blocks of 12 m in length, with plots of 3 m in length containing the different photoselective screens (red, silver, and black) and the control treatment (open field), which consisted of the primary factor. Repeated evaluations in time (0, 15, 30, 45, and 60 d) consisted of the secondary factor. Data were submitted to Tukey's test (p < 0.05) and the multivariate technique of principal component analysis (PCA). The mean of the thrips population at 60 days was statistically higher. The climatic variables rain and average humidity showed a highly significant negative correlation with the population fluctuation of the pest. Black, red, and silver photoselective screens promote significant reductions in thrips populations in chrysanthemums of the Zembla variety in the environmental conditions of southeastern Brazil.

Spatial-temporal variability pattern of multi-depth soil moisture jointly driven by climatic and human factors in China

Soil moisture (SM), which plays a critical role in land–atmosphere hydrological cycles, acts as the dominant water resource for vegetation growth. In China, the spatial–temporal variation in multi-depth SM patterns caused by the combined influence of climatic and human factors remains unclear. In this study, we systematically investigated the trends of SM as well as the relationship between SM and the multiple factors affecting it. Our results indicated that variability in SM in China was quite unbalanced during the 1950–2020 period. Mainly, the region covering North China and central Northeastern China underwent significant drying and exhibited a remarkable warming trend. By contrast, the wetting region, characterized by decreasing soil temperature in the summer, was concentrated in the area encompassing the Kunlun and Tianshan Mountains. As the depth increased, the drought level in the drying region steadily intensified, while the dampness degree in the wetting region gradually shrank. Such a consistently intensifying SM deficit inevitably threatens crop yield and food security. Correlation and Granger causality analyses indicated that precipitation and evaporation may act as dominant climatic factors that drive the variability of multi-depth SM, this driving force gradually declining with increasing depth, due to buffering by upper soil layers. By contrast, the correlation between human water withdrawal and SM grew continuously with increasing depth, except when irrigation was involved, implying that deep layer SM is susceptible to water intake. These findings are expected to boost the understanding of patterns of SM in China and provide a reference for future exploration, usage, and management of SM as well.