Southern Areas Research Articles

An improved framework for quantifying the contribution of climatic and anthropogenic factors to vegetation dynamics - A case study of China

Accurately quantifying the impact of climatic and anthropogenic factors on vegetation change is critical for developing and evaluating ecological management strategies. However, most presented studies typically ignore the climate temporal effects and assume that all pixels are affected by both climate change (CC) and human activities (HA), which often introduce uncertainties. In this study, Leaf area index (LAI), temperature, precipitation, solar radiation, and land cover data from 1982 to 2020 were used to detect and attribute vegetation dynamics in China. We used partial correlation analysis, generalize linear model, trend analysis, and improved RESTREND to analyze the spatiotemporal variation characteristics of vegetation LAI from 1982 to 2020 and to quantify the effects of CC and HA on vegetation dynamics since the implementation of the Grain for Green Project (GGP). The results indicate that significant vegetation greening appeared in most areas (66.2%) between 2000 and 2020. Both CC and HA have positive effects on vegetation greening. In arid and semi-arid regions, precipitation was the primary driver of vegetation change, while in high-latitude areas of southern and southwestern China, temperature was the primary determinant. After considering the temporal effects, the explanatory power of climate variables for vegetation dynamics increased by 4.0% compared to ignoring the temporal effects, accounting for 72.81%. After dividing the pixels into those affected by CC and those affected by both CC and HA, the contribution of HA was decreased from 31.19% to 25.96%. Although the contribution of HA is lower than that of CC, ecological engineering has effectively promoted vegetation greening. These research findings provide scientific data and theoretical basis for ecological environment protection and natural resource management.

Machine learning-based assessment of regional-scale variation of landslide susceptibility in central Vietnam.

Recurrent landslide events triggered by typhoons and tropical storms over Vietnam pose a longstanding threat to the nation's population and infrastructure. Changes in hydroclimatic conditions, especially the growing intensity and frequency of storms, have elevated landslide susceptibility in many parts of the country. This research examines the spatio-temporal variations in landslide susceptibility across central Vietnam over several years, using multi-temporal landslide inventories from Typhoon Ketsana (2009), Tropical Storm Podul (2013), and Typhoon Molave (2020). Additionally, the research explores the impact of individual landslide causative factors on the probabilistic occurrences of landslides. The post-event landslide susceptibility models of these three climate extreme events were developed using nine causative factors and a Random Forest machine learning algorithm. The results indicate a notable areal expansion of high to very high landslide susceptibility in the northern and eastern regions and a moderate reduction in the central and southern areas during the post-Molave period compared to the post-Ketsana period. These changes may be early indicators of increasing landslide susceptibility in response to changing hydro-climatic conditions. The research found that annual average rainfall and topographic elevation are the two most important variables influencing landslide prediction, showing a nonlinear relationship with landslide probability. The landslide susceptibility models achieved high Area Under the Receiver Operating Characteristic Curve (AUC) (>95%), accuracy (>89%), and sensitivity (>90%) scores, signifying the robustness of the models. Additionally, the uncertainty of the models was quantified and spatially mapped. This multi-temporal analysis of landslide susceptibility is crucial for understanding the regional susceptibility trends and identifying areas with increasing, decreasing, and consistently high susceptibility to landslides. These insights are invaluable for prioritizing mitigation and risk reduction strategies in landslide-prone regions and guiding appropriate land use planning.

The epidemic occurrence of decline disease in bayberry trees altered plant and soil related microbiome and metabolome

BackgroundIn China, decline disease with unknown etiology appeared as an epidemic among bayberry trees in the southern area of the Yangtze River. Furthermore, the use of beneficial microbes has been reported to be able to reduce the incidence of this disease, emphasizing the association of this disease with microorganisms. Therefore, it has become critical to uncover the microbiome’s function and related metabolites in remodeling the immunity of bayberry trees under biotic or abiotic stresses.ResultsThe amplicon sequencing data revealed that decline disease significantly altered bacterial and fungal communities, and their metabolites in the four distinct niches, especially in the rhizosphere soils and roots. Furthermore, the microbial communities in the four niches correlated with the metabolites of the corresponding niches of bayberry plants, and the fungal and bacterial networks of healthy trees were shown to be more complex than those of diseased trees. In addition, the role of microbiome in the resistance of bayberry trees to the occurrence of decline disease was justified by the isolation, identification, and characterization of important microorganisms such as significantly enriched Bacillus ASV804, Pseudomonas ASV815 in healthy plants, and significantly enriched Stenotrophomonas ASV719 in diseased plants.ConclusionOverall, our study revealed that the occurrence of decline disease altered the microbiome and its metabolites in four ecological niches in particular rhizosphere soils and roots of bayberry, which provides new insight into the control of bayberry decline disease.

Photoautotrophic picoplankton of the Kara Sea in the middle of summer: Effect of first-year ice retreat on carbon and chlorophyll biomass and primary production

The Arctic warming leads to a decline in sea-ice extent and thickness, rapid warming and freshening of the sea surface which impact the distribution of phytoplankton size composition. Picophytoplankton is an ecologically important component of Arctic pelagic marine ecosystems, and its role may be altered by global warming. In this study, the abundance and biomass, the chlorophyll a (Chl-a) and primary production (PP) of picophytoplankton, and its spatial and temporal distribution were investigated in the Kara Sea during the ice-melt season in July 2019. Picophytoplankton played a major role in the surface PP in the southern and western areas of the Kara Sea. In the surface layer, the contribution of picophytoplankton to total Chl-a increased insignificantly, and the contribution of picophytoplankton to total PP decreased significantly with the time of sea ice retreat. In the euphotic zone, the Chl-a concentration of picophytoplankton and its contribution to total Chl-a decreased with the time of sea ice retreat. The average picophytoplankton biomass determined in the present study (2.72 ± 5.10 mg C m−3) corresponded to the biomass estimates in the Arctic. The picophytoplankton community was strongly dominated by eukaryotes, cyanobacteria were only detected at 3 out of 11 stations, with maximum abundances (0.07 × 109 cells m−3) observed at depths below 15 m. The obtained results contribute significantly to the study of the picophytoplankton dynamics during the ice-melting season in the hard-to-reach Kara Sea.

The Impact of Toll Road Development on Urbanization Typology and Economic Structure (Case Study: Palikanci Toll Road in Ciledug District, Cirebon Regency)

This study examines the impact of toll roads on regional growth, specifically focusing on the Ciledug District, which has been crossed by the Palikanci Toll Road since 2009. The research identifies the typology of urbanization and assesses changes in the area’s economic structure due to the toll road. A mixed method approach was used, combining qualitative and quantitative data collection, land change analysis via Google Earth and ArcGis 13.1, and field observations of land use. The findings reveal gentrification in the northern part of Ciledug, marked by the growth of business centers in Jatiseeng and rising land prices. This has led to the expansion of settlements toward the southern area, particularly in Jatiseeng Kidul. The toll road and the industrial estate in North Ciledug have accelerated the transformation of the local economy, with residents diversifying their livelihoods to adapt to urbanization. However, the study also notes a lack of improvement in essential infrastructure services, suggesting that regional development policies have not yet adapted to the gentrification, posing risks of urban sprawl.

Abundance and taxonomic characterization of chigger mites (Acari: Trombiculidae and Walchiidae) associated with rodents in selected scrub typhus-prone areas in Southern and Western provinces of Sri Lanka

Larval trombiculid mites (chiggers) are the vectors and reservoirs of the potentially lethal infectious disease, scrub typhus (ST) caused by Orientia tsutsugamushi. Small rodents are natural hosts of parasitic larval stage of the chigger mites. This study focused on determining the abundance of chigger mites associated with rodents in Sri Lanka and the taxonomic characterization of field-caught chiggers. Field sampling was conducted in the districts of Galle, and Hambantota of the Southern Province, and Gampaha of the Western Province, in 2019 and 2020. Sampling sites were selected according to the patient distribution. A total of 58 small mammals (rodent species: Rattus rattus (Black rat), Rattus norvegicus (Brown rat), Tatera indica (Indian gerbil), Gollunda ellioti (Indian bush rat) and Suncus murinus (Asian house shrew)) were captured using baited traps. Chiggers from the captured rodents were speciated morphologically by visual inspection and morphometry using a camera-mounted light microscope (x100). A total of 394 chigger mites were collected. Three different genera were identified, including Leptotrombidium, Schoengastiella, and Microtrombicula. Leptotrombidium imphalum (72.59%; n=286) was the predominant species, followed by Schoengastiella punctata (8.12%; n=32). Some specimens were identifiable only up to genus level, Leptotrombidium sp. (3.55%; n=14) and Microtrombicula sp. (4.82%; n= 19). Some (7.11%; n=28) were not trombiculid mites, while 3.81%; n=15 was damaged beyond identification. Leptotrombidium imphalum was detected for the first time parasitizing the murids - Rattus novergicus and Tatera indica in the district of Galle, a new locality. In addition, S. punctata was recorded in a new locality in the Gampaha district, Western province with a new host association, Golunda ellioti. This study emphasizes the need for further entomological surveys in ST disease-endemic areas. Developing a morphological identification key for chigger mites in Sri Lanka is a top priority to facilitate field surveys.

Evolution of a buried moat-drift system within the Ewing Terrace uncovering highly dynamic bottom currents at the Argentine Margin during Early Oligocene to Middle Miocene

The Ewing Terrace is a relatively flat surface formed by the action of bottom currents and part of a Contourite Depositional System (CDS) at the Argentine continental slope. It is situated in a highly complex oceanographic setting at the Brazil-Malvinas Confluence Zone. Located in water depths of approx. 1000 – 1200 m and incised by the Mar del Plata Canyon, the Ewing Terrace is separated into the Northern Ewing Terrace (NET) and the Southern Ewing Terrace (SET). The long-term variations in ocean circulation led to a complex internal architecture of the terrace. As a result, this region represents a unique archive for studying sedimentary features that were eroded, transported, and deposited by along- and down-slope processes. An in-depth data analysis of high-resolution multichannel seismic profiles exhibits a complex sequence of erosional and depositional contouritic features, namely buried moat-drift systems identified in depths of approx. 370-750 m below the seafloor. They are arranged in migrating sequences and clustered in the Early Oligocene to Middle Miocene. This pattern is probably attributable to the vertical shift of water masses and to a highly dynamic oceanographic setting with spatial changes influenced by the Brazil-Malvinas Confluence Zone over this particular geological time. The moat-drift systems reveal significant lateral changes from north to south. In the southern area of the SET the moats are constructional and the associated separated mounded drifts are well developed. In contrast, the northern area exhibits two types of moats, reminiscent of cut-and-fill structures that mirror the significant and rapid changes in bottom current dynamics. With these new insights, this study contributes to a better understanding of moat-drift systems and improves the knowledge about past oceanographic dynamics and sediment deposition at the northern Argentine margin.

The last 20,000 years of climate change in the Iberian Peninsula characterized by the small-mammal assemblages

Climate and environments have undergone significant changes throughout the Earth's history, which are reflected in the faunal record. In that sense, small mammals provide valuable palaeoecological insights due to their close relationship with their associated environments. Our research investigates the dynamics of small mammal communities in the Iberian Peninsula from the Late Pleistocene to the Holocene, comparing regional environmental variations as well as anthropogenic impacts. Our review of the small mammal assemblages from 26 archaeological sites across the Iberian Peninsula revealed a differential response of the small mammal communities between the northern and southern areas. The colder climatic conditions which characterized the Late Pleistocene favoured the presence of mid-European species (e.g., Alexandromys (Oecomicrotus) oeconomus, Chionomys (Chionomys) nivalis) in northern regions until the Mid Holocene, while other taxa today restricted to northern Iberia (e.g., Arvicola amphibius, Microtus gr. (Euarvicola) arvalis, Sorex araneus-coronatus) reached southern regions during the Last Glacial Maximum but disappeared at the beginning of the Holocene period. Palaeoenvironmental reconstructions indicate predominantly open landscapes and colder climates in the Late Pleistocene, with increased forest cover during the Early-Mid Holocene in northern areas. In contrast, the southern regions exhibited more stable environments compared to the northern ones. Our results underscore how the great environmental diversity and interactions between natural and anthropogenic factors affected the composition of Iberian small mammal communities during the last 20,000 years. Most specifically, during the Late Holocene, biogeographical patterns of the small mammals are mostly affected by anthropic activities, with changes in the distribution of some species (Microtus (Iberomys) cabrerae), and the entrance of new ones (synanthropic species).

Validation of the chemical control for coffee leaf rust in the susceptible variety Caturra in the south of the department of Huila.

CLR (Hemileia vastatrix) is the disease with the greatest economic and social impact on coffee production in the world, causing losses of up to 50% of productivity in susceptible varieties without proper and timely management. The department of Huila is the current largest producer with approximately 19% of production, going from 136,000 ha planted in 2012 with 61% in susceptible varieties, to about 150,000 ha in 2020 and 30% in susceptible varieties, mainly in the southern area of ??the department, indicating the advancement of the department's coffee sector. However, there is still an important area under threat from coffee rust, which must be controlled and reduced. The objective of this work was to validate the chemical management strategy for rust in commercial crops of the susceptible variety Caturra in the south of the department of Huila (Colombia). The evaluation was carried out in two commercial crops of var. Caturra at two altitudes at 1.410 and 1.280 m, where each batch was divided into three plots to monitor the blooms and the percentage of incidence of the disease from 2016 to 2018. The validation criteria consisted of: fixed calendars (CC1), adjustment of the main flowering (CC2), farmer (CA3), and finally without disease control (SC4). The incidence in critical periods was above 30% of the level of economic damage, directly accompanying the physiology of production. The criteria (CC1-CC2) and with the use of the recommended fungicide showed a lower incidence (AUDPC) compared to the other criteria evaluated, presenting a positive effect on the control of the disease, allowing a retention of foliage and delaying the curve of the disease reducing to 30% the incidence in critical periods. In addition, the risk of Colombian coffee growing has increased in recent years, especially due to the climatic variability that generates advances or delays in the peaks of the disease and generating reductions in the incubation periods.

A systematic review and meta-analysis of the prevalence of tick-borne SFGR in China from 2000 to 2022.

Ticks carry and transmit a wide range of pathogens (bacteria, viruses, and protozoa) that pose significant threats to human and animal health worldwide. Only few meta-analyses have been conducted on the distribution of ticks and tick-borne spotted fever group rickettsia (SFGR). Therefore, this study aims to examine the tick species and SFGR positivity in China in order to provide support for further research and improvements in the prevention and control of tick-borne diseases. This systematic review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Relevant Chinese and English studies were retrieved from PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), VIP database, Chinese Biomedical literature database (CBM) and Wanfang database from inception to January 9, 2023. Pooled SFGR positive rate was meta-analyzed using a random effects model and heterogeneity was assessed by the I2 index. Publication bias was also evaluated by funnel plot and Egger's test. The meta-analysis was performed on R studio 4.0.4. Meta-analysis of 57 studies published between 2000 and 2022 involving 39,380 ticks revealed a pooled SFGR positive rate of 21.4% (Q = 6423.74, I2 = 99%, Q-p<0.001, 95% CI: 15.0-29.6). Most studies of tick-borne SFGR infection rate were conducted in forest areas and developed animal husbandry areas in the northern region. There were slightly more tick species in the southern region, but the differences in tick species (Feeding tick 31.5%, 95%CI: 15.7-53.2, Questing tick 11.5%, 95%CI: 4.4-26.7, Q = 3.29, Q-p = 0.19) between areas (Northern area 20.4%, 95%CI: 14.1-28.7, Southern area 25.5%, 95%CI: 15.0-29.6, Q = 0.21, Q-p = 0.64) were not statistically significant. The most common tick species were Dermacentor silvarum (13%), Ixodes persulcatus (11%) and Haemaphysalis Iongicornis (10%), and the most prevalent SFGR species were Rickettsia raoultii (20%), Rickettsia heilongjiangiensis (11%), and some uncultured species (18%). This study examined the distribution of tick-borne SFGR in China. Our findings revealed that the main tick species were D. silvarum, I. persulcatus and H. iongicornis, and the common SFGR species were R. raoultii, R. heilongjiangiensis, and some uncultured species. Further studies are warranted to identify the potential vectors of SFGR and to better understand the epidemiology and pathogenesis of tick-borne diseases in China.

Breeding season temporal and spatial trends in continental-scale migration of the monarch butterfly.

The monarch butterfly (Danaus plexippus) is a vagile species that undertakes an annual, multi-generational migration across North America. The abundance of this species at both eastern and western overwintering sites in Central Mexico and California indicates a population decline. Success of continental-scale conservation programs for a migratory species depends on providing, maintaining, and protecting habitats at appropriate temporal and spatial scales. Here, dynamics of monarch continental-scale migration and gene flow were obtained by combined stable isotope, morphological, and genetic analyses. These analyses were applied to temporal monarch samples collected from May to September during 2016-2021 at locations in Iowa, USA and spatial collections from Pennsylvania, Delaware, Iowa, Ohio, Nevada, Idaho, Hawaii, 3 Australian locations during July and August 2016, and Texas in April 2021. Evidence of seasonal multi-generational migration was obtained through δ2H analyses of spatial collections, which was corroborated by decreased wing hue (a morphological marker for non-migratory individuals). In Iowa, 10-15% of monarchs represented migrants from southern areas throughout the breeding season and 6% were migrants from the North in midsummer. Limited sequence variation detected across the mitochondrial genome impacted the capability to detect significant population genetic variation in our North American samples. However, 2 novel substitutions were identified and predicted to be fixed among Australia samples, contributing to intercontinental differentiation from counterparts in North America. Our assessment of temporal and spatial population dynamics across the North American monarch breeding range provides insight into continental-scale migration and previously undetected mitochondrial DNA variation among globally distributed populations.

Impact of Habitat Quality Changes on Regional Thermal Environment: A Case Study in Anhui Province, China

Biodiversity degradation and loss represent critical global challenges, primarily driven by the urban heat island effect, which results from elevated surface temperatures. As urbanization and climate change continue to progress, these phenomena have a profound impact on both habitats and human residential environments. This study focuses on Anhui Province as a case study to systematically investigate the effects of changes in habitat quality (HQ) on the evolution of the regional thermal environment. The objective is to provide a scientific basis for addressing regional thermal environment issues and promoting biodiversity conservation. This paper employs the InVEST-HQ model to analyze HQ in Anhui Province from 2000 to 2020 and integrates surface temperature data to assess the response of HQ changes to variations in the regional thermal environment. The results show that: (1) From 2000 to 2020, the HQ index in Anhui Province exhibited a general decline, characterized by pronounced spatial heterogeneity, with lower values observed in the northern regions and higher values in the southwestern and southern areas. (2) Concurrently, the relative surface temperature in Anhui Province continued to rise, particularly in central urban areas such as Hefei, where the increase in impermeable surfaces has facilitated the expansion of high-temperature zones. (3) Different types of HQ had distinctly varying effects on regional thermal environments: habitats classified as poor HQ or worse HQ were associated with noticeable warming effects, while those categorized as good HQ or excellent HQ exhibited significant cooling effects. (4) The contribution index of varying HQ to relative surface temperature ranged from −0.2 to 0.3, indicating that poor HQ and worse HQ positively contributed to regional thermal environments, whereas good HQ and excellent HQ exerted a negative contribution. City-level analyses revealed that cities such as Suzhou, Chizhou, Wuhu, Anqing, Xuancheng, and Lu’an were associated with positive contributions to relative surface temperature, while cities including Bengbu, Fuyang, Chuzhou, Huaibei, Tongling, Ma’anshan, and Hefei demonstrated negative contributions. This study provides valuable insights for optimizing the spatial distribution of urban cold islands and promoting ecological sustainable development.

An easier life to come for mosquito researchers: field-testing across Italy supports VECTRACK system for automatic counting, identification and absolute density estimation of Aedes albopictus and Culex pipiens adults

BackgroundDisease-vector mosquito monitoring is an essential prerequisite to optimize control interventions and evidence-based risk predictions. However, conventional entomological monitoring methods are labor- and time-consuming and do not allow high temporal/spatial resolution. In 2022, a novel system coupling an optical sensor with machine learning technologies (VECTRACK) proved effective in counting and identifying Aedes albopictus and Culex pipiens adult females and males. Here, we carried out the first extensive field evaluation of the VECTRACK system to assess: (i) whether the catching capacity of a commercial BG-Mosquitaire trap (BGM) for adult mosquito equipped with VECTRACK (BGM + VECT) was affected by the sensor; (ii) the accuracy of the VECTRACK algorithm in correctly classifying the target mosquito species genus and sex; (iii) Ae. albopictus capture rate of BGM with or without VECTRACK.MethodsThe same experimental design was implemented in four areas in northern (Bergamo and Padua districts), central (Rome) and southern (Procida Island, Naples) Italy. In each area, three types of traps—one BGM, one BGM + VECT and the combination of four sticky traps (STs)—were rotated each 48 h in three different sites. Each sampling scheme was replicated three times/area. Collected mosquitoes were counted and identified by both the VECTRACK algorithm and operator-mediated morphological examination. The performance of the VECTRACK system was assessed by generalized linear mixed and linear regression models. Aedes albopictus capture rates of BGMs were calculated based on the known capture rate of ST.ResultsA total of 3829 mosquitoes (90.2% Ae. albopictus) were captured in 18 collection-days/trap/site. BGM and BGM + VECT showed a similar performance in collecting target mosquitoes. Results show high correlation between visual and automatic identification methods (Spearman Ae. albopictus: females = 0.97; males = 0.89; P < 0.0001) and low count errors. Moreover, the results allowed quantifying the heterogeneous effectiveness associated with different trap types in collecting Ae. albopictus and predicting estimates of its absolute density.ConclusionsObtained results strongly support the VECTRACK system as a powerful tool for mosquito monitoring and research, and its applicability over a range of ecological conditions, accounting for its high potential for continuous monitoring with minimal human effort.Graphical

The effects of land cover transition and its patch mosaics on soil erosion using geospatial technology in South Wollo, Ethiopia

Soil erosion has been a significant threat to agricultural productivity, dam sustainability, and ecosystem services in the highlands of Ethiopia. Despite some watershed-specific research on this problem, the spatiotemporal distribution of soil erosion risks is still rarely assessed in South Wollo. This study aims to monitor land cover changes, analyze landscape mosaics, and estimate soil loss in South Wollo from 1990 to 2020. The Revised Universal Soil Loss Equation (RUSLE) was utilized to estimate soil loss. Key informant interviews and field observations were conducted to gain further insights into land cover change and soil erosion. The results showed that agricultural land use was dominant, covering 50.75 % of the study area in 1990 and it continued to expand at an annual rate of 1.73 %, primarily on shrubland and grassland. The landscape structure was more heterogeneous in the north compared to the central and southern areas. In 1990, the mean soil loss was 21.13 t ha-1yr−1, totaling 41.53 million tons. By 2020, These figures had increased to 28.97 t ha-1yr−1 and 49.86 million tons, respectively. Areas experiencing very severe soil erosion (>50 t ha-1yr−1) expanded from 10.81 % (1990) to 13.57 % (2020). The magnitude of soil loss also differed among land cover types, with the highest rates observed in bare land (>85 t ha-1yr−1), followed by agricultural land (>30 t ha-1yr−1). Soil loss factors and landscape metrics exhibited a significant correlation with soil loss, though the strength and direction of these interactions varied. Land cover change and its associated soil erosion were primarily exacerbated by policy factors, including tenure insecurity and disregard for farmers’ indigenous conservation knowledge. This study offers valuable insights into the trends of land cover transitions, landscape structure, and soil loss. It will help guide sustainable land management, aimed at increasing green legacy and reducing soil loss.

Assessing heatwave resilience in municipalities around Lake Balaton: A comparative analysis

Changing climate patterns represent a major challenge for Hungarian municipalities, particularly with regard to the increasing severity and frequency of heatwaves. As a result of the COVID-19 lockdowns, thousands of people moved to communities around Lake Balaton; therefore, cities and villages should place more emphasis on their long-term sustainability and climate resilience. This article addresses the literature gap in assessing the heatwave resilience of Hungarian settlements, focusing on the municipalities of the Lake Balaton Resort Area. Our main objective was to uncover spatial and temporal patterns in the 180 settlements involved in the analysis by using an indicator-based comparative method. The set of indicators included nine sensitivity and six adaptive capacity measures referring to the base years 2015 and 2022. Our results show heterogeneous spatial patterns across the analysed categories; however, several regional clusters can be identified: 1) in general, settlements from the northern part of the study area had above-average adaptive capacity, while the southern and south-western municipalities had significantly lower values, 2) only one micro-regional cluster can be defined in terms of sensitivity values in the northern part of the study area; 3) below average resilience values were found in the south-western and southern areas; 4) finally, neither sensitivity nor adaptive capacity nor overall resilience scores had changed significantly over time at the regional level. The applied methodology can easily be adopted in other Hungarian or even Central and Eastern European cities; consequently, new results can contribute to a better understanding of inter- and intra-regional patterns of heatwave resilience at the local level.

Assessing foodborne outbreak risks in Chinese households: A national survey analysis of pork handling practices

ObjectiveThis study aimed to assess the risk of foodborne outbreaks associated with household food handling practices in China and identify the consumer groups that are at higher risk for foodborne outbreaks. MethodsA national survey of household pork handling practices was conducted in China. The risk of foodborne outbreaks stemming from consumers’ improper handling practices was assessed utilizing the Weighted Harmonic Outbreak Prevention Index (WHOPI). The index categorized these practices into three levels of good hygienic practice (GHP): low (WHOPI≤0.35), medium (WHOPI: 0.36–0.70), and high (WHOPI>0.7). Logistic regression analyses were used to identify groups at higher risk for foodborne outbreaks. ResultsA total of 2730 households from seven provinces in mainland China were analyzed. Based on WHOPI, only 0.4 % of households demonstrated a high level of GHP, while 55.4 % showed a low level of GHP. The primary non-conforming stage was separation practices, followed by cooking and purchasing practices. Nearly two-thirds of households (64.8 %) didn’t have a separate cutting board for raw meat, and 44.9 % of them claimed to use the same board to handle ready-to-eats afterward. Logistic regression indicated more attention is required for those living in southern and rural areas, working in non-public institutions, possessing lower levels of education, and being single or widowed. ConclusionThe household food handling practices of Chinese consumers involve serious food safety risks. Education programs and interventions concerning safe handling practices in households are urgently needed.

First report of Rhizoctonia solani AG-2-2 IIIB causing Rice sheath blight in China.

Rice (Oryza sativa) is an important crop worldwide, rice is susceptible to many pathogens, one of the most significant being Rice Sheath Blight, caused by Rhizoctonia solani. This disease initially produces cloudy spots on the leaf sheaths and later affects grain filling, resulting in yield losses of over 45%（Chen et al. 2013） when severe. In many southern rice-growing areas of China, the impact of this disease has risen to become the most damaging of the three major rice diseases (Margani et al. 2018). In July 2023, In Yongfu County, Guangxi (110.022°E, 25.010°N), symptoms of rice sheath blight were observed. The leaf sheaths were affected, with small, water-soaked, dark green spots with indistinct edges appearing near the water surface. These spots gradually expanded into elliptical or cloud-like lesions. Eventually, the center of the lesions turned straw-yellow to grayish-white, while the edges turned brown to dark brown. Often, several lesions merged into large cloud-like patches. Fifteen symptomatic sheaths were collected disinfecting pieces of necrotic tissue with 3% NaClO for 1.5 minutes, followed by 75% alcohol for 1 minute. The pieces were then rinsed with sterile distilled water, subsequently plated on Potato Dextrose Agar in Petri dishes, and incubated at 28°C in the dark. One isolate was obtained from each diseased plant using the hyphal tip method. (Feng et al. 2008). Isolates were obtained and displayed initially white mycelium and gradually turned brown after three to four days. Septate hyphae were 4.27 to 10.73 μ m (average 6.41 μ m) in diameter and branched at Right angle or acute angle with a constriction at the origin of the branch point. Staining with 1% safranin O and 3% KOH solution (Bandoni 1979) revealed multinucleated cells (three to nine nuclei per cell, n = 144). In summary, these characteristics were consistent with the description of Rhizoctonia solani Kühn (Meyer et al. 1990). The anastomosis group (AG) was confirmed by selecting three representative isolates (GL-Q-10, GL-Q-13, GL-Q-15) for molecular identification. The target DNA was extracted using Chelex-100. The internal transcribed spacer (ITS) region was amplified and sequenced with primers ITS1 and ITS4. The sequences were deposited in GenBank (ITS, PQ047154, PQ047150, and PQ047151 The base pairs are respectively 713bp, 715bp and 776bp, respectively). Upon searching GenBank, accession number MT385836 was found (Zhou et al. 2021), which has a similarity of 99.15% with PQ047154, 98.87% with PQ047150, and 99.30% with PQ047151. Phylogenetic tree analysis based on ITS sequences showed that the isolates clustered monophyletically with strains of R. solani AG-2-2 IIIB. The fusion group of the strain is verified by the shape and color of its mycelial growth on PDA at 35°C, enabling the distinct differentiation of AG-2-2 IIIB from AG-2-2 IV in terms of both morphology and coloration.（Aktaruzzaman et al. 2019） Pathogenicity tests involved culturing the pathogenic bacteria on PDA for 7-10 days, Then, 10 healthy rice plants (greenhouse potted rice variety Dian Heyou 615) were selected at the heading stage, and 5 plants were inoculated on the leaf sheaths with 5 strains of 5 mm fungus cake with pathogenic bacteria and 5 plants without pathogenic bacteria (The rice soil was disinfected), wrapped in cotton for moisture retention. All plants were sealed in transparent plastic bags and incubated in a greenhouse at 30 °C for 7-15 days, with daily moisturizing using sterile distilled water (Humidity control at 70%). Seven days postinoculation, Those containing pathogenic bacteria have symptoms of rice sheath blight, No symptoms were detected on control plants. Rhizoctonia solani AG-2-2 IIIB was re-isolated from the inoculated plants as previously described, thus fulfilling Koch's postulates. The pathogenicity tests were repeated three times. At present, Rhizoctonia solani AG-2-2 IIIB is primarily pathogenic in plants such as sugar beet and beans. It has only been reported in Japan and other countries to cause rice disease (Engelkes et al. 1996; Kenji Inagaki et al. 2004), and Rhizoctonia solani AG-2-2 IIIB has never been reported in China to cause disease in rice. To our knowledge, this study is the first to identify Rhizoctonia solani AG-2-2 IIIB causing rice sheath blight in China. This finding will aid further research on rice sheath blight defense strategies and contribute to the development of better management practices for this disease.

Evaluating the Regional and Demographic Variations in Dementia-Related Mortality Trends in the United States: 1999 to 2020.

Dementia, a term for a range of cognitive impairments impacting memory, thinking, and social abilities, represents a formidable challenge to healthcare systems worldwide. Analysing the temporal trends in dementia-related mortality among individuals, identifying the populations at high risk, and guiding the implementation of tailored interventions to address the escalating effects of dementia on public health. Data from CDC WONDER database was examined from 1999 to 2020 for the four causes of dementia mortality: unspecified dementia (F03), Alzheimer's disease (G30), vascular dementia (F01), and other degenerative diseases of nervous system not elsewhere classified (G31). Age-adjusted mortality rates (AAMRs) per 100,000 persons and annual percent change (APC) were calculated and stratified by geographic region, year, age groups, sex, and race/ethnicity. A total of 4,077,973 reported deaths were related to dementia from 1999 to 2020 in the United States. The greatest proportion of deaths was associated with Alzheimer's disease (45.9%), followed by unspecified dementia (43.8%). Very low proportion of deaths were associated with vascular dementia (4.9%) or other neurodegenerative diseases (5.3%). The AAMR increased in two distinct periods: a steep incline from 1999 to 2010 (APC: 6.95, 95% CI: 6.00-7.90), followed by a modest incline till 2020 (APC: 1.41, 95% CI: 0.80-2.04). Overall, females had a higher AAMR than males. AAMRs were highest among NH Whites patients and lowest in NH Asians or Pacific Islanders. A significant geographical difference was also observed among different US census regions. Nearly equal AAMRs were seen in non-metropolitan areas and metropolitan areas. States with AAMRs in the top 90th percentile included South Carolina, North Carolina, Maine, Tennessee, Georgia, and Alabama while states with AAMRs in the bottom 10th percentile included South Dakota, Florida, Hawaii, New Jersey, District of Columbia, and New York (33.1). Individuals aged above 85 had the highest AAMRs. Most deaths occurred in nursing homes and least in hospice facilities. The dementia related deaths are continuously increasing. Highest AAMRs were observed among the NH White people, females, and in the southern areas of the United States. People aged 85+ were most affected. To stop the rising death rates, targeted interventions and awareness are required for both prevention and treatment of dementia.

Investigation of Aquifer Zone using Central Loop Time-domain Electromagnetic in Institut Teknologi Bandung

Abstract Time-domain electromagnetic (TDEM) has been widely used to investigate the subsurface aquifer. In this research, the TDEM method with a central loop configuration was employed to define the aquifer zone in the southern area of the Institut Teknologi Bandung (ITB) campus in Bandung, Indonesia. Moreover, TDEM is effective for mapping aquifers due to its sensitivity to subsurface conductivity. The acquisition consists of five sounding points spaced 20 meters apart, along with a W-E profile in the southern area of ITB. The data were interpreted using 1D inversion software (1X1D, Interpex, USA), utilizing weights from a smoothing constraint scheme (Occam) to obtain the resistivity distribution of the subsurface structure. The interpretation results indicate three layers from top to bottom: (a) the topsoil was interpreted as a sand layer with resistivity of 100 to 350 Ωm; (b) beneath it lies a shale layer with resistivity ranging from 5 to 100 Ωm that has good porosity to allow water from the surface to flow into the ground; and (c) further down, there is a clay layer with low resistivity of 1 to 5 Ωm which act as impermeable layer.

Artificial river flow regulation triggered spatio-temporal changes in marine macrobenthos of the Yellow River Estuary

The Water Sediment Discharge Regulation (WSR) in the Yellow River transports a vast quantity of freshwater and materials to the Bohai Sea within 20 days, significantly altering the ambient environment of the estuary. To elucidate the ecological impacts of this typically artificial flood event, we investigated the benthic habitats and macrobenthic biodiversity within the Affected Core Area (ACA) influenced by this discharge. Our results show that: (1) The discharge created an area with extreme environmental conditions, extending from the southern estuary to Laizhou Bay. This led to a rapid transformation of the habitat, as evidenced by a significant increase in turbidity, ammonium, and silicate levels. Among these factors, nitrogen nutrients and pH were the dominant drivers of environmental filtration, shaping the macrobenthos community structure; (2) The changing habitat triggered spatial shifts in macrobenthos abundance based on the distance from the estuary. Compared to the northern estuary, species composition and C-diversity in the southern area decreased significantly. These changes collectively established a short-term biodiversity front in the estuary region; (3) Community stability declined, as evidenced by a 24.20% reduction in niche width for generalist species and a 90.91% shift in specialist species. Furthermore, the connectivity between species decreased, and the average path length of the network increased, resulting in a more fragmented community structure. Notably, some ecological patches dominated by generalist species (e.g. Alpheus distinguendus) emerged. These findings enhance our understanding of marine ecological responses to artificial flood events within the context of global environmental changes.