Search Results (96)

Against the backdrop of multifaceted strategies to combat climate change, understanding soil erosion’s role in carbon cycling is critical due to terrestrial carbon pool vulnerability. This study integrates bibliometric methods with visualization tools (CiteSpace, VOSviewer) to analyze 3880 Web of Science core publications (1994–2024, inclusive), constructing knowledge graphs and forecasting trends. The results show exponential publication growth, shifting from slow development (1994–2011) to rapid expansion (2012–2024), aligning with international climate policy milestones. The Chinese Academy of Sciences led productivity (519 articles), while the US demonstrated major influence (H-index 117; 52,297 citations), creating a China–US bipolar research pattern. It was also found that Dutch journals dominate this research field. A keyword analysis revealed a shift from erosion-driven carbon transport to ecosystem service assessments. Emerging hotspots include microbial community regulation, climate–erosion feedback, and model–policy integration, though developing country collaboration remains limited. Future research should prioritize isotope tracing, multiscale modeling, and studies in ecologically vulnerable regions to enhance global soil carbon management. This study provides a novel analytical framework and forward-looking perspective for the soil erosion research on soil carbon cycling, serving as an extension of climate change mitigation strategies. Full article

Dutch elm disease is one of the most devastating plant diseases, primarily spread through bark beetles. Scolytus scolytus is a key vector of this disease. In this study, distribution data of S. scolytus were collected and filtered. Combined with environmental and climatic variables, an ensemble model was developed using the Biomod2 platform to predict its potential geographical distribution in China. The selection of climate variables was critical for accurate prediction. Eight bioclimatic factors with high importance were selected from 19 candidate variables. Among these, the three most important factors are the minimum temperature of the coldest month (bio6), precipitation seasonality (bio15), and precipitation in the driest quarter (bio17). Under current climate conditions, suitable habitats for S. scolytus are mainly located in the temperate regions between 30° and 60° N latitude. These include parts of Europe, East Asia, eastern and northwestern North America, and southern and northeastern South America. In China, the low-suitability area was estimated at 37,883.39 km², and the medium-suitability area at 251.14 km². No high-suitability regions were identified. However, low-suitability zones were widespread across multiple provinces. Under future climate scenarios, low-suitability areas are still projected across China. Medium-suitability areas are expected to increase under SSP370 and SSP585, particularly along the eastern coastal regions, peaking between 2041 and 2060. High-suitability zones may also emerge under these two scenarios, again concentrated in coastal areas. These findings provide a theoretical basis for entry quarantine measures and early warning systems aimed at controlling the spread of S. scolytus in China. Full article

This study aimed to investigate population genetic differences related to reproductive traits between Duroc and Yorkshire (Dutch Large White) pigs using two approaches: linear mixed models that dissect additive and dominant effects, and selective sweep analysis. (1) Methods: Genome-wide single-nucleotide polymorphism (SNP) data of 3917 Duroc and 3217 Yorkshire pigs were analyzed. The first principal component (PC1) was used as a simulated phenotype to capture population-level variance. Additive and dominant genetic effects were partitioned and evaluated by using the combination of the linear mixed models (LMM) and ADDO’s algorithm (LMM + ADDO). In parallel, selective sweep signals were detected using fixation index (F_ST) and nucleotide diversity (θ_π) analyses. A comparative assessment was then conducted between the LMM + ADDO and the selective sweep analysis results. Significant loci were annotated using quantitative trait loci (QTL) databases and the Ensembl genome browser. (2) Results: There are 39040 SNPs retained after quality control. Using the LMM + ADDO framework with PC1 as a simulated phenotype, a total of 632 significant SNPs and 184 candidate genes were identified. Notably, 587 SNPs and 171 genes were uniquely detected by the LMM + ADDO method and not among loci detected by the top 5% of F_ST and θ_π values. Key candidate genes associated with litter size included HSPG2, KAT6B, SAMD8, and LRMDA, while DLGAP1, MYOM1, and VTI1A were associated with teat number traits. (3) Conclusions: This study demonstrates the power of integrating additive and dominant effect modeling with population genetics approaches for the detection of genomic regions under selection. The findings provide novel insights into the genetic architecture of reproductive traits in pigs and have practical implications for understanding the inheritance of complex traits. Full article

The Russian Black Pied (RBP) is one of Russia’s most popular dairy cattle breeds. It was developed in the USSR during the 1930s by crossing Russian native cattle with Dutch cattle. Since the mid-1970s, the RBP has been cross-bred with Holstein cattle to enhance milk production. To trace haplotypes and selection signatures in the RBP genomes formed during cross-breeding and selection, we conducted local ancestry inference and scans for selection signatures in 12 resequenced RBP animals. Scans for selection using hapFLK and window-based F_ST identified 65 putatively selected regions across the genome, with 4 identified by both methods. Candidate missense variants were detected within these regions, including KIAA1755, CNBD1, and MPZL3, which may be related to milk traits, pathogen resistance, and climate adaptation. Local ancestry inference and functional annotation analyses suggest that regions with a higher fraction of native haplotypes are enriched for genes associated with keratin filaments, antimicrobial defence, the immune system, protein digestion, and amino acid transporters. The results of our study could be utilised for conservation purposes and the improvement of this and other breeds. Full article

Phytoplankton comprise the base of the food web in estuaries and their biomass and rates of growth (productivity) exert a bottom-up control in pelagic ecosystems. Reliable means to quantify biomass and productivity are crucial for managing estuarine ecosystems. In many estuaries, direct productivity measurements are rare and instead are estimated with biomass-based models. A seminal example of this is a light utilization model (LUM) used to predict productivity in the San Francisco Estuary and Delta (SFED) from long timeseries data using an efficiency factor, ψ. Applications of the LUM in the SFED, Chesapeake Bay, and the Dutch Scheldt Estuary highlight significant interannual and regional variability, indicating the model must be recalibrated often. The objectives of this study are to revisit the LUM approach in the SFED and assess a chlorophyll-a to carbon model (CCM) that produces a tuning parameter, Ω. To assess the estimates of primary productivity resulting from the models, productivity was directly measured with a ¹³C-tracer at nine locations during 22 surveys using field-derived phytoplankton incubations between March and November of 2023. For this study, ψ was determined to be 0.42 ± 0.02 (r² = 0.89, p < 0.001, CI₉₅ = 319). Modeling productivity using an alternative CCM approach (Ω = 3.47 × 10⁴ ± 1.7 × 10³, r² = 0.84, p < 0.001, CI₉₅ = 375) compared well to the LUM approach, expanding the toolbox for estuarine researchers to cross-examine productivity models. One practical application of this study is that it confirms an observed decline in ψ, suggesting a decline in light utilization by phytoplankton in the SFED. This highlights the importance of occasionally recalibrating productivity models in estuaries and leveraging multiple modeling approaches to validate estimations before application in ecological management decision making. Full article

Background: A 2014 survey showed nutritional management could be improved in Belgian pediatric departments. This follow-up survey aimed to: (1) list allied health resources/staffing in Belgian pediatric departments, (2) survey nutritional screening and follow-up, and (3) identify barriers. Methods: A nationwide survey (February–April 2021) via national and regional pediatric associations. Results: 61/90 (67.8%) of Belgian pediatric departments responded (80.1% of all Belgian pediatric hospital beds); 60.7% of the respondents were from larger centers (LCs, ≥20 beds). A dietitian was present in 80.3% of all responding units (LCs vs. smaller centers (SCs): p = 0.133), compared to 46.5% in the 2014 survey. Most dietitians seldom or never participate in ward rounds (86.9%) and participate only ad hoc to case discussions (72.1%). Systematic nutritional screening is implemented in 32.8% of pediatric departments. The screening tool STRONGkids is used in 30% of responding centers, compared to 21% in 2014. The most common barriers to conducting nutritional screening were lack of time (59.0%), a lack of knowledge (47.5%), and a lack of staff (42.6%). In French-speaking centers (FrCs), a positive screening result most often led to referral to a dietitian (86.7%), whereas in Dutch-speaking centers (DuCs), it more frequently resulted in a discussion with the pediatrician about nutritional management (54.3%) than referral to a dietitian (34.8%). Nutritional follow-up after discharge is most often conducted by a physician, with or without the involvement of a dietitian (95.1%), rather than a dietitian alone (3.3%). Malnutrition management barriers included “no barriers” (50.8%), a lack of knowledge (34.4%), a lack of reimbursement (24.6%), and a lack of time (24.6%). The barriers remain largely unchanged compared to 2014. Conclusions: The increasing availability of dietitians and the use of a screening tool in pediatric departments suggest an encouraging but limited improvement in nutritional care in Belgium. Persistent barriers that have remained unchanged since 2014 continue to hinder substantial advancements in nutritional care. Full article

An accelerated sea-level rise (SLR) may threaten the future livability of the Netherlands. Three perspectives to anticipate this SLR are elaborated here regarding technical, physical, and spatial aspects: Protect, Advance, and Accommodate. The overall objective was to explore the tools and measures that are available for adaptation, assess their spatial impacts, and identify dos and don’ts in current spatial issues like housing, climate adaptation, infrastructure, and the energy transition. Each elaboration was performed by a consortium consisting of representatives from private parties (engineering consultancy, project contractors, (landscape) architects, economists), knowledge institutes (including universities), and government, using an iterative process of model computations and design workshops. The elaborations made clear that a realistic and livable future perspective for the Dutch Delta continues to exist, even with a maximum analyzed SLR of 5 m, and will consist of a combination of elements from all three perspectives. This will require large investments and space for new and upgraded water infrastructure and will have large impacts on land use, water availability, agriculture, nature, residential buildings, shipping, and regional water systems. There is still a significant degree of uncertainty regarding future SLR; therefore, it is not advisable to make major investment decisions at this time. Nevertheless, some no-regret measures are already clear: continuation of the protection of the Randstad agglomeration (Amsterdam, The Hague, Rotterdam, and Utrecht) and its economic earning potential for future generations, adaptation of agriculture to more brackish and saline conditions, designation of space for additional future flood protection, extra storage capacity (for river discharge and increased precipitation), river discharge, and sand extraction (for future coastal maintenance). The research identified concrete actions for today’s decision-making processes, even though the time horizon of the analysis captures centuries. Including the perspectives in long term, policy planning is already necessary because the transition processes will take decades, if not more than a century, to be implemented. Full article

Elms (Ulmus spp.) are widely spread in the forest, shelter belts, and urban landscaping. This research aimed to reveal the trends of Ulmus sp. health in Ukraine under biotic damage. The tasks included: (i) analyzing the presence of Ulmus sp. in the forests; (ii) studying the dynamics of Ulmus sp. health for 2001–2015 in the monitoring plots in the frame of the International Cooperative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP-Forests); (iii) assessing the prevalence of the dominant biotic factors affecting elm health and the probability of tree death or recovery. As a result of research, elms were found in 3.58% of the area in the stands with other main forest-forming species in the forests subordinated to the State Specialized Forest Enterprise «Forests of Ukraine». Four elm species are present in the forests of all regions of Ukraine. In the Forest zone, U. minor predominates, U. glabra is more common in the western part of the country, and U. pumila in the southern and eastern regions. In the ICP-Forests monitoring plots for 2001–2015, a trend of elm deterioration in 2007–2012 was found. The highest incidence of trees with disease symptoms was recorded for U. pumila. In the sample plots for 2023–2024, the health of three elm species tended to deteriorate. In 2024, mortality occurred among all elm species with symptoms of Dutch elm disease (DED) and among U. pumila trees with symptoms of wetwood. However, several trees have recovered. The results show the gaps in our knowledge that need to be filled, particularly in identifying resistant individuals and using their progeny to create resistant stands. Full article

The American elm (Ulmus americana L.), once a dominant species in North American floodplain forests, has suffered significant population declines due to Dutch elm disease (DED). Despite this, some elms persist, potentially exhibiting disease resistance and climate-adaptive traits that could facilitate restoration. Understanding these traits is crucial for selecting genotypes suited to current and future climatic conditions, particularly in colder regions. This study evaluated the mid-winter cold tolerance of American elm genotypes across a climatic gradient to ascertain evidence of local climate adaptation. We used relative electrolyte leakage (REL) to assess mid-winter cold tolerance of current-year shoots on eleven survivor genotypes from New England and one susceptible, control genotype from Ohio. The lethal temperature, at which 50% of cellular leakage occurs (LT₅₀), was determined and compared with 30-year climate data to identify potential climate adaptation. Genotypes from colder regions exhibited greater cold hardiness, indicating local adaptation to climate. Observed mid-winter LT₅₀ values (−42.8 °C to −37.7 °C) were in excess of the 30-year minimum air temperature, even at the coldest source location. This calls into question whether mid-winter cold tolerance is the critical period for injury to American elm and more attention should be given to environmental conditions that cause de-acclimation to cold. By understanding the adaptive capacity of American elm, managers can better select mother trees for regional seed orchards, ensuring the long-term success of restoration initiatives. Full article

During the last twenty years, minimal white spotting associated with blue eyes was selected by feline breeders to create the Altai, Topaz, and Celestial breeds. Additionally, certain breeders introduced this trait in their lineages of purebred cats. The trait has been called “dominant blue eyes (DBE)” and was confirmed to be autosomal dominant in all lineages. DBE was initially described in outbred cats from Kazakhstan and Russia and in two purebred lineages of British cats from Russia, as well as in Dutch Maine Coon cats, suggesting different founding effects. We have previously identified two variants in the Paired Box 3 (PAX3) gene associated with DBE in Maine Coon and Celestial cats; however, the presence of an underlying variant remains undetermined in other DBE breeding lines. Using a genome-wide association study, we identified a single region on chromosome C1 that was associated with DBE in British cats. Within that region, we identified PAX3 as the strongest candidate gene. Whole-genome sequencing of a DBE cat revealed an RD-114 retrovirus LTR (long terminal repeat) insertion within PAX3 intron 4 (namely NC_018730.3:g.206975776_206975777insN[433]) known to contain regulatory sequences. Using a panel of 117 DBE cats, we showed that this variant was fully associated with DBE in two British lineages, in Altai cats, and in some other DBE lineages. We propose that this NC_018730.3:g.206975776_206975777insN[433] variant represents the DBE^ALT (Altai Dominant Blue Eye) allele in the domestic cat. Finally, we genotyped DBE cats from 14 lineages for the three PAX3 variants and showed that they were not present in four lineages, confirming genetic heterogeneity of the DBE trait in the domestic cat. Full article

Management of suspected early-onset sepsis (EOS) is undergoing continuous evolution aiming to limit antibiotic overtreatment, yet current data on the level of overtreatment are only available for a select number of countries. This study aimed to determine antibiotic initiation and continuation rates for suspected EOS, along with the incidence of culture-proven EOS in The Netherlands. In this retrospective study from 2019 to 2021, data were collected from 15 Dutch hospitals, comprising 13 regional hospitals equipped with Level I-II facilities and 2 academic hospitals equipped with Level IV facilities. Data included birth rates, number of neonates started on antibiotics for suspected EOS, number of neonates that continued treatment beyond 48 h and number of neonates with culture-proven EOS. Additionally, blood culture results were documented. Data were analysed both collectively and separately for regional and academic hospitals. A total of 103,492 live-born neonates were included. In 4755 neonates (4.6%, 95% CI 4.5–4.7), antibiotic therapy was started for suspected EOS, and in 2399 neonates (2.3%, 95% CI 2.2–2.4), antibiotic treatment was continued beyond 48 h. Incidence of culture-proven EOS was 1.1 cases per 1000 live births (0.11%, 95% CI 0.09–0.14). Overall, for each culture-proven EOS case, 40.6 neonates were started on antibiotics and in 21.7 neonates therapy was continued. Large variations in treatment rates were observed across all hospitals, with the number of neonates initiated and continued on antibiotics per culture-proven EOS case varying from 4 to 90 and from 4 to 56, respectively. The high number of antibiotic prescriptions compared to the EOS incidence and wide variety in clinical practice among hospitals in The Netherlands underscore both the need and potential for a novel approach to the management of neonates with suspected EOS. Full article

The Dutch guideline for patients suspected of head and neck paragangliomas (HNPGLs) recommends magnetic resonance imaging (MRI) and/or computed tomography (CT) of the head and neck area. Additionally, it suggests considering additional nuclear imaging. The aim of this study was to evaluate the outcomes of [⁶⁸Ga]Ga-DOTATOC PET/CT compared to MRI in patients with suspected HNPGLs and carriers of genetic variations. Methods: In this single-center pilot study, retrospective data were obtained from consecutive patients between 2016 and 2023. Both MRI and [⁶⁸Ga]Ga-DOTATOC PET/CT were performed within 12 months. The primary outcome was the location of HNPGLs. Results: A total of 25 consecutive patients were included, and 7 patients (28.0%, p = 0.5) showed differences between the imaging modalities, of whom 5 patients had unexpected localizations with additional uptake by somatostatin receptors (SSTR) on the [⁶⁸Ga]Ga-DOTATOC PET/CT. Conclusions: The authors recommend performing baseline imaging with [⁶⁸Ga]Ga-DOTATOC PET/CT (if available) in variant carriers and using MRI/CT for follow-up according to the regional protocol, thereby shifting the gold standard for baseline imaging from MRI/CT to [⁶⁸Ga]Ga-DOTATOC PET/CT. Full article

The health care sector exists to support and promote human wellbeing; however, its operations contribute to environmental degradation undermining nature’s capacity to support the same wellbeing. Biodiversity loss, in particular, creates threats to wellbeing through a reduction in ecosystem service provisioning and increases in disease. This study aims to estimate the extinction-risk footprint associated with the health care sector, focusing on Europe. We created an environmentally-extended multi-region input–output model using data on the extinction risk of species available from the International Union for Conservation of Nature’s (IUCN) Red List of Threatened Species. Using input–output analysis, we then quantified the extinction-risk footprint of the Dutch health care sector and, for comparison, that of the 30 European nations which use similar sector classifications in their National Accounts reporting. We found that the Netherlands has the highest health care extinction-risk footprint on a per-capita basis and that health care contributes 4.4% of the Dutch consumption extinction-risk footprint compared with an average of 2.6% across the comparator set. Food and beverage supply chains make a disproportionate contribution to health care’s extinction-risk footprint, while supply chains implicated in the sector’s carbon footprint make a limited contribution. These results suggest that reducing the environmental impact of the health care sector may require a differentiated approach when multiple environmental indicators are considered. Full article

To reduce aviation’s climatic impact, there are international, regional and national policies in place and under development. The most firm policy measure to reduce net CO₂ emissions from aviation is ReFuelEU Aviation, requiring 70% of fuel tanked in the EU to be net CO₂-free in 2050. Considering the technological options available, expected improvements in airline operational efficiency and aircraft efficiency, as well as considering behavioral factors that influence aviation travel demand, a path for the complete decarbonization of the Dutch aviation market is provided. The path implies increasing the share of CO₂-free energy carriers to 100% in 2050 for all departing and arriving flights. Methodologically, first, the aggregate ticket price increase as a result of this policy is estimated. Second, demand price elasticity factors are applied to the price increase to estimate the impact of complete decarbonization on the number of passengers carried by the Dutch aviation sector in 2050. The findings outline that a shift to exclusively CO₂-free energy carriers will result in a 15% reduction in the number of passengers in 2050 compared to the market development under ReFuelEU Aviation obligations. The Dutch aviation sector will still grow from 81 million passengers in 2019 to between 98 and 138 million in 2050, but the growth rate will be significantly lower than before 2019. The expected sustainable energy requirements will be 171 PJ per year in 2050, with a likely range between 146 and 206 PJ, representing no substantial change from the 2019 level of 166 PJ. Full article

Continuous climate change has become one of the challenges faced by the world, drawing much attention from governments. The forest industry is the main focus of strategic initiatives to realize a circular and green economy and achieve low emissions. In order to explore the relationship between forest resource endowment and green economic growth, this study represents the first attempt to verify how forest resource endowment affects green economic growth (GEG), with a theoretical analysis and an explanation of the effects of both. The following results were obtained: (1) The GEG of the lagging period can improve the GEG of the current period in all regions, which verifies the sustainability of GEG in China. (2) The regression coefficient of forest resource endowment is a negative primary term (except for the eastern region) and a positive quadratic term, indicating that there is a U-shaped nonlinear relationship between forest resource endowment and GEG in the national, central, and western regions. (3) Forest resource endowments inhibit green economic growth by crowding out human capital from high-tech industries and through such effects as “Dutch disease”. The elasticity coefficient of the eastern region is positive but insignificant, while the forest resource inhibition effect is larger in the central and western regions, but the elasticity coefficient is significantly lower for the central region than the western region. (4) Human capital significantly contributes to GEG in the east and has a negative effect on GEG in the nation and the central and western regions. A possible reason for this is that there are more highly qualified people in the east than in the central and western regions; environmental regulation inhibits GEG in the nation and the east and has a negative but insignificant effect on GEG in the central and western regions, whereas green finance can promote GEG in all regions, and its promotion effect is highest in the east and lowest in the west, where it does not pass the significance test. Full article