Potential Linkages Research Articles

A large-scale comparison of reproduction and recruitment of the stalked barnacle Pollicipes pollicipes across Europe

Understanding large-scale spatial and temporal patterns of marine populations is a central goal in ecology, which has received renewed attention under climate change. However, few studies explore the large-scale dynamics of populations using standardized protocols and during the same time frames. We studied the phenology and intensity of reproduction and recruitment for the intertidal stalked barnacle Pollicipes pollicipes over an European scale and described their potential linkages with environmental variables. This species supports profitable fisheries in the Iberian Peninsula (Spain and Portugal). In Brittany (France), we had observed a significant lower reproductive effort (long non-breeding season, short breeding period in summer) and low values of recruitment intensity. This pattern may be related to the fact that Brittany corresponds to the northern limit of the distribution of this species in continental Europe. On the Iberian Peninsula, the most different region was Galicia (Spain), with Asturias (Spain) and SW Portugal being more similar. In Galicia, we have observed a contradictory pattern characterized by the absence of a non-breeding period and by a shorter recruitment season than observed in other Iberian regions. Our results suggest that air temperature, SST and chlorophyll-a might be related to the variability in reproduction and recruitment patterns of P. pollicipes. Moreover, spring and early summer upwelling in SW Portugal and Galicia might be inhibiting recruitment in this period. At the northern limit, the expected increase in performance under climate change might facilitate the recovery of populations after exploitation, increasing the resilience of the resource to fishing pressure.

Towards circular economy in the agrifood sector: Water footprint assessment of food loss in the Italian fruit and vegetable supply chains

In recent years, the agrifood sector has been relevantly impacted by resource shortage, food loss and waste across the whole supply chain. This study assesses, from a life cycle perspective, the water footprint of the fruit and vegetable losses occurring within the Italian agrifood supply chain, analyzing the potential linkages between circular economy policies and water management.The study methodology consists of three consequential steps: the definition of system boundaries, the data collection from databases and reports, and the processing of said data. Based on data availability of food losses, the following food items were chosen for the analysis, representing about 60% of the Italian fruits and vegetables domestic supply: tomatoes and onions for the macro-group of vegetables; orange, lemons, apples and grapes for the macro-group of fruits.Assessing the water footprint for the six categories of products, this study found out that, although less than other products, the amount of grapes lost along the supply chain determines a very high percentage of water loss. The tomato supply chain has proved to be the most sustainable in terms of water loss, due to the low amount of water needed to cultivate tomatoes. The analysis of the Italian trade market of fruits and vegetables has shown that water losses are mainly due to imports from France and Spain, in line with the high trade volumes. Finally, a weakness of the Italian fruit and vegetable supply chain was observed in the transport phase, because in this phase large quantities of food loss are associated with large volumes of water loss.Far from being the only tool to be used in the decision-making processes, the assessment of water loss embodied in the food loss, can be useful for managing the supply chain processes of perishable foods, ensuring process yield improvements, food quality traceability and environmental impact mitigation.

Do leaf nitrogen resorption dynamics align with the slow‐fast continuum? A test at the intraspecific level

Abstract The links between internal nitrogen recycling through the process of resorption from senescing leaves, whole‐plant resource‐use strategies and performance remain elusive. Indeed, tests of such potential linkages are hampered by the classical evaluation of plant nitrogen resorption efficiency (REN) based on ‘snapshots’ of leaf nitrogen concentration from adult and senescent leaves. We significantly increased the resolution for measuring leaf nitrogen resorption by non‐destructively tracking time courses of nitrogen concentration in leaves of 137 natural Arabidopsis thaliana genotypes native to a wide range of climates across Europe, grown in a greenhouse. In addition to the classical measurement of resorption efficiency, we computed the relative maximum resorption rate of nitrogen (RRN), that is, the amount of nitrogen remobilized by a leaf per unit time and per unit nitrogen, together with slow–fast syndrome traits at the leaf and whole‐plant levels. Across genotypes, high rates and efficiencies of nitrogen resorption were associated with low specific leaf area and late flowering. The RRN showed significant heritability, genetic associations and was negatively correlated with the mean annual temperature of the native populations. By contrast, despite the evidence of a correlation with temperature, REN showed lower heritability and no evidence of genetic association, questioning the mechanisms of nitrogen resorption. Overall, our results suggest a much stronger adaptive role for leaf nitrogen resorption than previously uncovered. Read the free Plain Language Summary for this article on the Journal blog.

Cetacean Strandings in the US Pacific Northwest 2000–2019 Reveal Potential Linkages to Oceanographic Variability

Studying patterns in marine mammal stranding cases can provide insight into changes in population health, abundance, and distribution. Cetaceans along the United States West coast strand for a wide variety of reasons, including disease, injury, and poor nutritional status, all of which may be caused by both natural and anthropogenic factors. Examining the potential drivers of these stranding cases can reveal how populations respond to changes in their habitat, notably oceanographic variability and anthropogenic activities. In this study, we aim to synthesize recent patterns in 1,819 cetacean strandings across 26 species in the Pacific Northwest from 2000 to 2019 to compare with previous findings. Additionally, we aim to quantify the effects of localized and basin-scale oceanographic conditions on monthly stranding cases for five focal species using generalized additive models in order to explore potential relationships between strandings and changes in biophysical features that could affect foraging conditions or other important physiological cues. Our results suggest that strandings of harbor porpoises, gray whales, humpback whales, Dall’s porpoises, and striped dolphins are correlated with certain environmental variables, including sea surface temperature, chlorophyll concentration, and the Pacific Decadal Oscillation depending on the species. While it remains challenging to identify the causal mechanisms that underlie these relationships for a given species or population based on its utilization of such a complex ecosystem, improving our understanding of periods of increased strandings can enhance our knowledge of how these species interact with their environment and assist conservation and management efforts. This study enhances the utility of stranding records over time beyond simply reporting trends and has broader applicability to other geographic regions amid global climate change.

Warfare Disaster Ecology: Connecting Warfare Ecology and Disaster Risk Management Curricula

This paper examines the topics of ecological change induced by war and the interactions between environment and warfare which though have received major attention from warfare ecology but not yet conceptualized as an area of enquiry in disaster risk management studies. This paper therefore compares warfare ecology and disaster risk management in order to bring out some of their more general characteristics with the purpose of greater conversation and collaboration across the two fields. The aim is to develop a new curriculum of ‘warfare disaster ecology’ (WDE) in disaster risk management studies. The objective is to better identify their potential linkages and synergies. This paper is based on desktop review of extant literature on disaster ecology. Criteria for inclusion of the reviewed articles were based on (1) the article’s relevance to the proposed curriculum, and (2) the article’s applicability to disaster risk management. The paper provides justifications for the development and domiciliation of warfare disaster ecology in disaster risk management studies, pointing to research themes and scales at which warfare disaster ecology can be studied. It suggests greater opportunities for interdisciplinary approach and closer connections between warfare ecology and disaster risk management, thereby expanding the curriculum and areas of specialization for graduate students in disaster risk management studies. It proposes a research direction for academics and policy implications of WDE to guide military policy-making and planning, peace-building and conflict resolution, and environmental protection for all the concerned bodies.

Assessing proximate intermediates between ambient temperature, hospital admissions, and mortality in hemodialysis patients.

Typical thermoregulatory responses to elevated temperatures among healthy individuals include reduced blood pressure and perspiration. Individuals with end-stage kidney disease (ESKD) are susceptible to systemic fluctuations caused by ambient temperature changes that may increase morbidity and mortality. We investigated whether pre-dialysis systolic blood pressure (preSBP) and interdialytic weight gain (IDWG) can independently mediate the association between ambient temperature, all-cause hospital admissions (ACHA), and all-cause mortality (ACM). The study population consisted of ESKD patients receiving hemodialysis treatments at Fresenius Medical Care facilities in Philadelphia County, PA, from 2011 to 2019 (n=1981). Within a time-to-event framework, we estimated the association between daily maximum dry-bulb temperature (TMAX) and, as separate models, ACHA and ACM during warmer calendar months. Clinically measured preSBP and IDWG responses to temperature increases were estimated using linear mixed effect models. We employed the difference (c-c') method to decompose total effect models for ACHA and ACM using preSBP and IDWG as time-dependent mediators. Covariate adjustments for exposure-mediator and total and direct effect models include age, race, ethnicity, blood pressure medication use, treatment location, preSBP, and IDWG. We considered lags up to two days for exposure and 1-day lag for mediator variables (Lag 2-Lag 1) to assure temporality between exposure-outcome models. Sensitivity analyses for 2-day (Lag 2-only) and 1-day (Lag 1-only) lag structures were also conducted. Based on Lag 2- Lag 1 temporal ordering, 1°C increase in daily TMAX was associated with increased hazard of ACHA by 1.4% (adjusted hazard ratio (HR), 1.014; 95% confidence interval, 1.007-1.021) and ACM 7.5% (adjusted HR, 1.075, 1.050-1.100). Short-term lag exposures to 1°C increase in temperature predicted mean reductions in IDWG and preSBP by 0.013-0.015% and 0.168-0.229mmHg, respectively. Mediation analysis for ACHA identified significant indirect effects for all three studied pathways (preSBP, IDWG, and preSBP+IDWG) and significant indirect effects for IDWG and conjoined preSBP+IDWG pathways for ACM. Of note, only 1.03% of the association between temperature and ACM was mediated through preSBP. The mechanistic path for IDWG, independent of preSBP, demonstrated inconsistent mediation and, consequently, potential suppression effects in ACHA (-15.5%) and ACM (-6.3%) based on combined pathway models. Proportion mediated estimates from preSBP+IDWG pathways achieved 2.2% and 0.3% in combined pathway analysis for ACHA and ACM outcomes, respectively. Lag 2 discrete-time ACM mediation models exhibited consistent mediation for all three pathways suggesting that 2-day lag in IDWG and preSBP responses can explain 2.11% and 4.41% of total effect association between temperature and mortality, respectively. We corroborated the previously reported association between ambient temperature, ACHA and ACM. Our results foster the understanding of potential physiological linkages that may explain or suppress temperature-driven hospital admissions and mortality risks. Of note, concomitant changes in preSBP and IDWG may have little intermediary effect when analyzed in combined pathway models. These findings advance our assessment of candidate interventions to reduce the impact of outdoor temperature change on ESKD patients.

Heterozygous FMN2 missense variant found in a family case of premature ovarian insufficiency

BackgroundPremature ovarian insufficiency (POI) plagues 1% of women under 40, while quite a few remain an unknown cause. The development of sequencing has helped find pathogenic genes and reveal the relationship between DNA repair and ovarian reserve. Through the exome sequencing, our study targets screening out the possible POI pathogenic gene and variants in a Chinese family and 20 sporadic POI patients, preliminarily exploring the functional impact and finding out potential linkages between the gene and POI.ResultsThe whole exome sequencing suggested a novel FMN2 heterozygous variant c.1949C > T (p.Ser650Leu) carried by all three patients in a Chinese family and another c.1967G > A(p.Arg656His) variant in a sporadic case. Since no FMN2 missense mutation is reported for causing human POI, we preliminarily assessed p.Ser650Leu variant via cross-species alignment and 3D modeling and found it possibly deleterious. A series of functional evidence was consistent with our hypothesis. We proved the expression of FMN2 in different stages of oocytes and observed a statistical difference of chromosomal breakages between the POI patient carrying p.Arg656His variant and the health control (p = 0.0013). Western Blot also suggested a decrease in FMN2 and P21 in the mutant type and an associated increase in H2AX. The p.Arg656His variant with an extremely low frequency also indicated that the gene FMN2 might play an essential role in the genetic etiology of POI. To the best of our knowledge, this is the first POI report on missense variants of FMN2.ConclusionThis finding indicates a novel gene possibly related to POI and sheds lights on the study of FMN2.

Energy mass balance and flow modeling of early Holocene glaciers in the Queshque valley, Cordillera Blanca, Peru

Our limited knowledge of the timing and pattern of early Holocene climate variability in the tropical Andes hinders our ability to evaluate any potential linkages between low and high latitude oceanic-atmospheric dynamics. There is mounting evidence that glaciers in the Peruvian Andes stabilized at times during the early Holocene, suggesting there were periods of colder and/or wetter conditions that interrupted an overall pattern of a warmer and drier climate. Evaluating the global significance of these glacial fluctuations requires that the nature of these apparent cooling events and any shifts in the hydrologic cycle be better quantified. Here we apply a physically-based glacier model to reconstruct and interpret early Holocene-aged paleoglaciers in steady-state with a range of tropical climatic conditions in the Queshque valley of the Cordillera Blanca, Peru (9.8°S). This model uses a LiDAR-based digital elevation model (DEM) and hourly meteorological data as inputs to calculate the fully-distributed surface energy and mass balance (SEMB). This approach allows us to better capture the diurnal range of environmental variability at a spatial resolution that has not been achieved with previous paleo-glacier modeling efforts in this region. A 3-D rendition of paleoglaciers was then developed based on a flow model that responds to the SEMB input, accounting for the valley topography. The model was validated by simulating glaciers that match both field and satellite observations of modern glacier area limits, as well as ice thicknesses that are consistent with recently measured ground-penetrating radar (GPR) profiles of the main glacier tongue. After adjusting for changes in early Holocene global radiation values, and using regional paleoclimate records as constraints for the model, the maximum early Holocene ice limit in the valley dating to ∼10.8 (±0.1) ka was reconstructed using a 3.0 °C cooling and a 25% increase in precipitation relative to today. An up-valley ice extent dating to ∼9.4 (±0.3) ka was reconstructed using a 2.8 °C cooling and no change in precipitation amounts relative to today. These results suggest that conditions were cold and wet enough to maintain glaciers at times during the early Holocene, even though a shift to drier conditions combined with modestly warmer temperatures drove a phase of ice retreat from at least ∼10.8 to ∼9.4 ka. These results suggest that southern tropical temperatures and the hydrologic cycle rapidly reorganized during the early Holocene in conjunction with diminishing ice sheets and shifting environmental conditions in the high latitudes.

One Health, One Hive: A scoping review of honey bees, climate change, pollutants, and antimicrobial resistance.

Anthropogenic climate change and increasing antimicrobial resistance (AMR) together threaten the last 50 years of public health gains. Honey bees are a model One Health organism to investigate interactions between climate change and AMR. The objective of this scoping review was to examine the range, extent, and nature of published literature on the relationship between AMR and honey bees in the context of climate change and environmental pollutants. The review followed systematic search methods and reporting guidelines. A protocol was developed a priori in consultation with a research librarian. Resulting Boolean search strings were used to search Embase® via Ovid®, MEDLINE®, Scopus®, AGRICOLA™ and Web of Science™ databases. Two independent reviewers conducted two-stage screening on retrieved articles. To be included, the article had to examine honey bees, AMR, and either climate change or environmental pollution. Data, in accordance with Joanna Briggs Institute guidelines, were extracted from relevant articles and descriptively synthesized in tables, figures, and narrative form. A total of 22 articles met the inclusion criteria, with half of all articles being published in the last five years (n = 11/22). These articles predominantly investigated hive immunocompetence and multi-drug resistance transporter downregulation (n = 11/22), susceptibility to pests (n = 16/22), especially American foulbrood (n = 9/22), and hive product augmentation (n = 3/22). This review identified key themes and gaps in the literature, including the need for future interdisciplinary research to explore the link between AMR and environmental change evidence streams in honey bees. We identified three potential linkages between pollutive and climatic factors and risk of AMR. These interconnections reaffirm the necessity of a One Health framework to tackle global threats and investigate complex issues that extend beyond honey bee research into the public health sector. It is integral that we view these "wicked" problems through an interdisciplinary lens to explore long-term strategies for change.

Trends in Quality Controlled Precipitation Indicators in the United States Midwest and Great Lakes Region

Changes in precipitation can have broad and significant societal impacts. A number of previous studies that analyzed changes in precipitation across the Great Lakes and Midwest for a variety of time periods and using a range of quality-control standards and methods observed increased precipitation rates and totals, although there was considerable site-to-site variability, even for sites in close physical proximity. Biases and discontinuities in precipitation observations may contribute to this variability. This study identifies and examines changes in precipitation utilizing a unique approach to observation series screening over a region encompassing the Great Lakes and broader Midwestern region of the United States for the period 1951–2019. A multiple tier procedure was utilized to identify high quality input data series from the Global Historical Climatology Network-Daily dataset. Annual and seasonal time series of precipitation indicators were calculated and subjected to breakpoint analysis as further quality control. Trends were analyzed across a broad range of related indicators, from totals and frequencies of threshold events to event duration and potential linkages with total precipitable water. Results indicate that annual precipitation has generally increased across the region in terms of totals, although there is substantial variation across the study domain in the significance and magnitude of annual trends by indicator. Annual trends were spatially most consistent across eastern areas of the study domain while relatively greater station-to-station variability in trend significance and magnitude was observed across northern and western portions. Significant trends were generally fewer in number for seasonal precipitation indicators and less spatially coherent. The greatest number of significant trends occurred in fall with the fewest in spring. Correlation of indicator trends with trends of mean total precipitable water suggests weak correlations annually and moderate correlations at the seasonal scale. The trends of the precipitation indicators in our study exhibited more coherent spatial patterns when compared with studies with different quality control criteria, illustrating the importance of quality control of observations in climatic studies and highlighting the complexity of the changing character of precipitation.

Know your enemy: Application of ATR-FTIR spectroscopy to invasive species control.

Extreme weather and globalisation leave our climate vulnerable to invasion by alien species, which have negative impacts on the economy, biodiversity, and ecosystem services. Rapid and accurate identification is key to the control of invasive alien species. However, visually similar species hinder conservation efforts, for example hybrids within the Japanese Knotweed complex.We applied the novel method of ATR-FTIR spectroscopy combined with chemometrics (mathematics applied to chemical data) to historic herbarium samples, taking 1580 spectra in total. Samples included five species from within the interbreeding Japanese Knotweed complex (including three varieties of Japanese Knotweed), six hybrids and five species from the wider Polygonaceae family. Spectral data from herbarium specimens were analysed with several chemometric techniques: support vector machines (SVM) for differentiation between plant types, supported by ploidy levels; principal component analysis loadings and spectral biomarkers to explore differences between the highly invasive Reynoutria japonica var. japonica and its non-invasive counterpart Reynoutria japonica var. compacta; hierarchical cluster analysis (HCA) to investigate the relationship between plants within the Polygonaceae family, of the Fallopia, Reynoutria, Rumex and Fagopyrum genera.ATR-FTIR spectroscopy coupled with SVM successfully differentiated between plant type, leaf surface and geographical location, even in herbarium samples of varying age. Differences between Reynoutria japonica var. japonica and Reynoutria japonica var. compacta included the presence of two polysaccharides, glucomannan and xyloglucan, at higher concentrations in Reynoutria japonica var. japonica than Reynoutria japonica var. compacta. HCA analysis indicated that potential genetic linkages are sometimes masked by environmental factors; an effect that can either be reduced or encouraged by altering the input parameters. Entering the absorbance values for key wavenumbers, previously highlighted by principal component analysis loadings, favours linkages in the resultant HCA dendrogram corresponding to expected genetic relationships, whilst environmental associations are encouraged using the spectral fingerprint region.The ability to distinguish between closely related interbreeding species and hybrids, based on their spectral signature, raises the possibility of using this approach for determining the origin of Japanese knotweed infestations in legal cases where the clonal nature of plants currently makes this difficult and for the targeted control of species and hybrids. These techniques also provide a new method for supporting biogeographical studies.

Unpacking determinants and consequences of food insecurity for insulin resistance among people living with HIV: Conceptual framework and protocol for the NOURISH-OK study.

Background:Over the past four decades, advances in HIV treatment have contributed to a longer life expectancy for people living with HIV (PLWH). With these gains, the prevention and management of chronic co-morbidities, such as diabetes, are now central medical care goals for this population. In the United States, food insecurity disproportionately impacts PLWH and may play a role in the development of insulin resistance through direct and indirect pathways. The Nutrition to Optimize, Understand, and Restore Insulin Sensitivity in HIV for Oklahoma (NOURISH-OK) will use a novel, multi-level, integrated framework to explore how food insecurity contributes to insulin resistance among PLWH. Specifically, it will explore how food insecurity may operate as an intermediary risk factor for insulin resistance, including potential linkages between upstream determinants of health and downstream consequences of poor diet, other behavioral risk factors, and chronic inflammation.Methods/design:This paper summarizes the protocol for the first aim of the NOURISH-OK study, which involves purposeful cross-sectional sampling of PLWH (n=500) across four levels of food insecurity to test our conceptual framework. Developed in collaboration with community stakeholders, this initial phase involves the collection of anthropometrics, fasting blood samples, non-blood biomarkers, 24-hour food recall to estimate the Dietary Inflammatory Index (DII®) score, and survey data. A 1-month, prospective observational sub-study (total n=100; n=25 for each food security group) involves weekly 24-hour food recalls and stool samples to identify temporal associations between food insecurity, diet, and gut microbiome composition. Using structural equation modeling, we will explore how upstream risk factors, including early life events, current discrimination, and community food access, may influence food insecurity and its potential downstream impacts, including diet, other lifestyle risk behaviors, and chronic inflammation, with insulin resistance as the ultimate outcome variable. Findings from these analyses of observational data will inform the subsequent study aims, which involve qualitative exploration of significant pathways, followed by development and testing of a low-DII® food as medicine intervention to reverse insulin resistance among PLWH (ClinicalTrials.gov Identifier: NCT05208671).Discussion:The NOURISH-OK study will address important research gaps to inform the development of food as medicine interventions to support healthy aging for PLWH.

The cost of convenience: potential linkages between noncommunicable diseases and meal delivery apps.

The cost of convenience: potential linkages between noncommunicable diseases and meal delivery apps.

Modelling Multi-Species Connectivity at the Kafue-Zambezi Interface: Implications for Transboundary Carnivore Conservation

Linking wildlife areas with corridors facilitating species dispersal between core habitats is a key intervention to reduce the deleterious effects of population isolation. Large heterogeneous networks of areas managed for wildlife protection present site- and species-scale complexity underpinning the scope and performance of proposed corridors. In Southern Africa, the Kavango-Zambezi Transfrontier Conservation Area seeks to link Kafue National Park to a cluster of wildlife areas centered in Namibia and Botswana. To assess and identify potential linkages on the Zambian side, we generated a high-resolution land cover map and combined empirical occurrence data for Lions (Panthera leo), Leopards (Panthera pardus) and Spotted Hyena (Crocuta crocuta) to build habitat suitability maps. We then developed four connectivity models to map potential single and multi-species corridors between Kafue and the Zambezi River border with Namibia. Single and multi-species connectivity models selected corridors follow broadly similar pathways narrowing significantly in central-southern areas of the Kafue-Zambezi interface, indicating a potential connectivity bottleneck. Capturing the full extent of human disturbance and barriers to connectivity remains challenging, suggesting increased risk to corridor integrity than modelled here. Notwithstanding model limitations, these data provide important results for land use planners at the Kafue-Zambezi Interface, removing much speculations from existing connectivity narratives. Failure to control human disturbance and secure corridors will leave Kafue National Park, Zambia’s majority component in the Kavango-Zambezi Transfrontier Conservation Area, isolated.

On the use of an innovative trend analysis methodology for temporal trend identification in extreme rainfall indices over the Central Highlands, Vietnam

Understanding past changes in the characteristics of climate extremes forms an essential part of viable countermeasures to cope with climate-induced risks in a rapidly warming world. Thus, this paper endeavored to explore possible non-monotonic trend components in heavy rainfall events over the Central Highlands (Vietnam) by employing Şen’s innovative trend analysis method in conjunction with the well-defined extreme rainfall indices. The outcomes show less spatially coherent trends in the intensity, frequency, and duration of extreme rainfall events across the study area, and most analyzed indices exhibited non-monotonic trend forms. The overall trends in the intensity and frequency, represented by maximum 1-day, 5-day precipitation amount (Rx1day, Rx5day), very and extremely wet days (R95p and R99p), and the number of very and extremely heavy precipitation days (R20mm and R50mm), were characterized by significant increases at three or four sites. Concerning dry and wet extremes, observed increases in consecutive dry days (CDD) and decreases in consecutive wet days (CWD) were identified significantly simultaneously at three sites. There is high domination of significant increases in high-value subgroups of these indices. Several sites also exposed significantly increasing trend behaviors in these indices within all low-, medium-, and high-value subgroups, thereby implying the intensity and frequency have intensified over recent decades. This study also indicated potential linkages between annual peaks of several extreme rainfall indices, characterizing intensity, frequency, and wet duration, usually coincided with negative Indian Ocean Dipole and La Niña events, while dry extremes were usually found during El Niño events based on correlation analysis.

Gender in the Climate-Conflict Nexus: “Forgotten” Variables, Alternative Securities, and Hidden Power Dimensions

The literature on the security implications of climate change, and in particular on potential climate-conflict linkages, is burgeoning. Up until now, gender considerations have only played a marginal role in this research area. This is despite growing awareness of intersections between protecting women’s rights, building peace and security, and addressing environmental changes. This article advances the claim that adopting a gender perspective is integral for understanding the conflict implications of climate change. We substantiate this claim via three main points. First, gender is an essential, yet insufficiently considered intervening variable between climate change and conflict. Gender roles and identities as well as gendered power structures are important in facilitating or preventing climate-related conflicts. Second, climate change does affect armed conflicts and social unrest, but a gender perspective alters and expands the notion of what conflict can look like, and whose security is at stake. Such a perspective supports research inquiries that are grounded in everyday risks and that document alternative experiences of insecurity. Third, gender-differentiated vulnerabilities to both climate change and conflict stem from inequities within local power structures and socio-cultural norms and practices, including those related to social reproductive labor. Recognition of these power dynamics is key to understanding and promoting resilience to conflict and climate change. The overall lessons drawn for these three arguments is that gender concerns need to move center stage in future research and policy on climate change and conflicts.

3.P. Workshop: The EU Joint Action on Implementation of Best Practices in the Area of Mental Health - JA ImpleMENTAL

Abstract Mental disorders are one of the greatest public health challenges in terms of prevalence, burden of disease and disability in Europe, impacting families, societies and economies. Many European countries have policies and programmes to address prevention and treatment of mental ill-health across the lifespan, however their implementation and sustainability remains a challenge. Governance and organisation of mental health services (including the process of deinstitutionalization) as well as financial resources for mental health vary significantly across Europe and there is a general trend to focus on care and treatment rather than on mental health promotion and prevention. Further, the majority countries have no suicide prevention strategies in place. The need to ensure that mental health remains high on the public health agenda in Europe has resulted in a new action taken by the EU-Commission. The Joint Action on Implementation of Best Practices in the Area of Mental Health is a collaborative initiative of 42 participating institutions from 21 European countries. Building upon the results of 15 years of EU initiatives and upon WHO strategic documents, this Joint Action beginning in Summer 2021, supports the transfer and pilot implementation of approaches, elements and tools of two good practices in mental health, with the aim to extend the benefits of these practices to participating countries. Both practices were pre-selected from the pool of the EU's Public Health Best Practice Portal, based on a participatory process involving representatives from EU Member States and other countries. The first practice from Belgium focuses on establishing local networks for mental health that strengthen community-based provision of preventive, promotive and care services across sectors, with the aim to improve access to, continuity and quality of care. The second practice, initially developed in Austria, is a multi-level suicide prevention strategy integrating universal, selective and indicated prevention interventions, adapted to local contextual factors and resources. The workshop includes three presentations, followed by a plenary discussion. The objective is to: Provide an overview of the main features of the Belgian and Austrian good practices; Present the process of transferring, adapting and piloting implementation of the good practices and plans for ensuring sustainability and integration of lessons learned into policies; Share early findings of the Joint Action's preparatory phase; Exchange views and experiences on community-based mental health services and suicide prevention in other (European) countries; Identify and discuss potential challenges and opportunities for implementation of the selected practices into other (national, regional and local) contexts. Key messages Participants will learn about the objectives, activities and first findings of the new EU-funded Joint Action on Implementation of Best Practices in the Area of Mental Health. Ideas and insights that can further enhance the work of the joint action until 2024 will be exchanged and potential linkages with other sectors, topics and sustaining health practices identified.

The Political Consequences of Be(com)ing Mindful. How Mindfulness Might Affect Political Attitudes

Though research provides ample evidence that mindfulness shapes psychological processes and states that are linked to political attitudes and behavior, political science has so far largely ignored mindfulness as a potential explanatory factor shaping political attitudes and actions. This literature review aims to provide a comprehensive overview of the concept of mindfulness and outlines potential linkages between mindfulness and outlines political attitudes. I begin by identifying gaps in the literature on political attitude formation and change as well as its linkage to political behavior. I then introduce mindfulness as a multifaceted concept, discussing its definitional features and unravelling the mechanisms of mindfulness affecting cognitive and emotional abilities. Building on this foundation, I review research on correlates and effects of mindfulness on attitudes and behaviors related to the political domain, such as pro-environmentalism and pro-social behavior. Critically reflecting on extant research on mindfulness, I propose possible research avenues for political science that enhance its dialogue with neuroscience and social psychology.

Microbial community structure in rhizosphere soil rather than that in bulk soil characterizes aggregate-associated organic carbon under long-term forest conversion in subtropical region

Forest conversion can strongly affect soil organic carbon (SOC) via modifying soil microbial community (SMC) structure. This process is particularly intense in rhizosphere since rhizosphere is the microbial hotspot in soils. However, the relationship between SMC structure in rhizosphere soil and aggregate-SOC regarding long-term land-use change remains unclear. Here, a 36-year conversion from natural forest to three typical plantations, i.e., Cunninghamia lanceolata (CL), Metasequoia glyptostroboides (MG) and Cryptomeria fortunei (CF), was investigated in subtropical region, with a natural forest (NF) as the control. SMC structures in bulk and rhizosphere soils (0–10 cm depth) were detected, and their potential linkages with bulk- and aggregate-SOC contents were analyzed. SMC structure in rhizosphere soil was distinctly differentiated from that in bulk soil and evidently separated between NF and the plantations, which was dominated by gram-negative bacteria (GN) and fungi. NF (1.61 g kg−1 soil) had significantly lower (P < 0.05) aggregate-SOC of <53 μm (F53–SOC) content than all the plantations while MG had the highest mass percentage of F53 (6%) among the forests. Bulk-SOC content showed nonsignificant differences among the forests. Furthermore, fungi and the ratios of fungi to bacteria and gram-positive bacteria to GN in rhizosphere soil had positive correlations with F53–SOC content. These results suggest that SMC structure in rhizosphere soil can effectively characterize the dynamics of aggregate-SOC content than that in bulk soil over more than three decades after forest conversion. The linkage between SMC structure in rhizosphere soil and SOC stability highlights the importance of rhizosphere microbial communities in determining soil C sequestration regarding long-term land-use change in subtropical region.

736Low Birth weight in new born, anaemia in pregnancy in Fluoride endemic areas of Rajasthan

Abstract Background Rajasthan has been documenting severe anaemia in pregnancy, resulting in low birth weight. Current study was planned to explore potential linkages between exposure to fluoride, anaemia in pregnancy and low birth weight in infant. Methods Antenatal mothers from one fluoride endemic district (FD) and one non-fluoride endemic district (NFD) of western Rajasthan were recruited and followed up till delivery. Data included socio-demographic, lifestyle, diet, medication history. Lab Investigations included Hb, Urinary Fluoride. Results Out of total 1401 women, mean age of women from FD were 23.87 (+ 3.8) yrs and from NFD were 25.53(+ 3.82) yrs. Mean fluoride values in the urine samples of pregnant females were found to be 2.06 (0.0 to 14.4 mg/L) in FD and 1.43 (0.00 to 12.7 mg/L) in NFD. Mean fluoride values in water samples were 0.72 (0.0 to 3.80 mg/L) in FD and 0.21 (0.0 to 2.69 mg/L) in NFD. Mean weight of newborn from FD were 2.92 (+ 0.47) yrs and from NFD were 2.94 (+ 0.56) kg. 22% Newborn in FD and 18% in NFD had low birth weight. Conclusions Infants born in Fluoride endemic area have lower birth weight as compared to non-Fluoride endemic area. Antenatal women in Fluoride endemic areas are more anaemic. Key messages Fluoride endemicity is an important factor to be considered while addressing Anaemia in pregnancy and Low Birth Weight Babies in Western Rajasthan, India.