Plant diversity darkspots for global collection priorities.

More than 15% of all vascular plant species may remain scientifically undescribed, and many of the > 350 000 described species have no or few geographic records documenting their distribution. Identifying and understanding taxonomic and geographic knowledge shortfalls is key to prioritising future collection and conservation efforts. Using extensive data for 343 523 vascular plant species and time-to-event analyses, we conducted multiple tests related to plant taxonomic and geographic data shortfalls, and identified 33 global diversity darkspots (those 'botanical countries' predicted to contain most undescribed and not yet recorded species). We defined priority regions for future collection according to several socio-economic and environmental scenarios. Most plant diversity darkspots are found within global biodiversity hotspots, with the exception of New Guinea. We identify Colombia, Myanmar, New Guinea, Peru, Philippines and Turkey as global collection priorities under all environmental and socio-economic conditions considered. Our study provides a flexible framework to help accelerate the documentation of global plant diversity for the implementation of conservation actions. As digitisation of the world's herbaria progresses, collection and conservation priorities may soon be identifiable at finer scales.

Recurrent gene flow events occurred during the diversification of clownfishes of the skunk complex.

Clownfish (subfamily Amphiprioninae) are an iconic group of coral reef fish that evolved a mutualistic interaction with sea anemones, which triggered the adaptive radiation of the clade. Within clownfishes, the "skunk complex" is particularly interesting. Besides ecological speciation, interspecific gene flow and hybrid speciation are thought to have shaped the evolution of the group. We investigated the mechanisms characterizing the diversification of this complex. By taking advantage of their disjunct geographical distribution, we obtained whole-genome data of sympatric and allopatric populations of the three main species of the complex (Amphiprion akallopisos, A. perideraion and A. sandaracinos). We examined population structure, genomic divergence and introgression signals and performed demographic modelling to identify the most realistic diversification scenario. We excluded scenarios of strict isolation or hybrid origin of A. sandaracinos. We discovered moderate gene flow from A. perideraion to the ancestor of A. akallopisos + A. sandaracinos and weak gene flow between the species in the Indo-Australian Archipelago throughout the diversification of the group. We identified introgressed regions in A. sandaracinos and detected in A. perideraion two large regions of high divergence from the two other species. While we found that gene flow has occurred throughout the species' diversification, we also observed that recent admixture was less pervasive than initially thought, suggesting a role of host repartition or behavioural barriers in maintaining the genetic identity of the species in sympatry.

Demographics, Practice Analysis, and Geographic Distribution of Neuro-Ophthalmologists in the United States in 2023.

PURPOSE: To assess the demographic characteristics and geographic distribution of neuro-ophthalmologists practicing in the United States. DESIGN: A cross-sectional study. PARTICIPANTS: Neuro-ophthalmologists across the United States. METHODS: In this cross-sectional study, public databases from the American Academy of Ophthalmology, North American Neuro-ophthalmology Society, American Neurological Association, and American Academy of Neurology were used to identify neuro-ophthalmologists in the United States as of April 2023. Providers' office locations were geocoded using ArcGIS pro, version 2.9 (Esri). Data on age, sex, and residency and fellowship training were collected. Analysis was performed using SPSS 28.0 (IBM Corp.). MAIN OUTCOME MEASURES: Neuro-ophthalmologists' demographics, and information about their medical education, postgraduate education, residency training, fellowship training, years in practice, practice environment, and geographic distribution of neuro-ophthalmologists across the United States. RESULTS: A total of 635 neuro-ophthalmologists (436 male, 68.7%) were identified. The majority (599, 94.3%) graduated from an allopathic medical school. Most of the 85 physicians who held a secondary graduate degree had a PhD (54, 63.5%). Although approximately three-quarters (429, 67.6%) completed their residency in ophthalmology, 159 (25%) had residency positions in neurology and 47 (7.4%) had residency positions in both. Approximately one-third (191, 30.0%) were trained in more than 1 fellowship, including oculoplastics (78, 12.3%) or pediatric ophthalmology (53, 8.3%). The average post-fellowship years of experience was 23.7±13.7 years, with 134 (21.1%) in their early career (< 10 years), 120 (18.9%) in their mid-careers (10-19 years), and 381 (60.0%) in their late careers (> 20 years). Male neuro-ophthalmologists had 10.5±1.1 more years of experience than female neuro-ophthalmologists (P < 0.001). Three states (Maine, South Dakota, Wyoming) and 2897 counties (93.2%) had no neuro-ophthalmologists. Counties without a neuro-ophthalmologist had lower median income (P < 0.001), lower access to a vehicle (P = 0.024), and lower rates of health insurance (P = 0.012). CONCLUSIONS: Practicing neuro-ophthalmologists are mostly male and often are trained in more than 1 subspecialty. More than half of the practicing neuro-ophthalmologists are in their late careers, which may further exacerbate the existing geographic and socioeconomic disparities in access to neuro-ophthalmology. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Socioeconomic Disparities Associated with Access to Oculofacial Plastic Surgeons: A Cross-Sectional Analysis of US County Demographics.

PURPOSE: To compare population demographics with the geographic distribution of oculofacial plastic surgeons (OPSs) in the United States. DESIGN: A cross-sectional study design was used to investigate demographic differences between counties with 1 or more OPSs and counties with zero OPSs. PARTICIPANTS: The number of OPSs were identified in each US county using online public databases: American Society of Ophthalmic Plastic and Reconstructive Surgeons and American Academy of Ophthalmology. Counties were categorized into 2 groups: 1 or more OPSs and zero OPSs. Demographic characteristics at the county level were obtained from the 2021 US Census Bureau Population Estimates and the American Community Survey. Cost of living was collected from the 2022 Economic Policy Institute Family Budget Calculator. MAIN OUTCOME MEASURES: Socioeconomic demographics of the US population as related to geographic OPS distribution. RESULTS: A total of 1238 OPSs were identified. States with the most OPSs per million were Hawaii (6.2), D.C. (6.0), Connecticut (5.8), Utah (5.1), and Maryland (5.0). Among 3143 counties, 2725 (86.7%) had zero OPSs and 418 (13.3%) had 1 or more OPSs. Counties with 1 or more OPSs had a higher median (standard deviation) household income versus counties with zero OPSs ($72 471 [$19 152] vs. $56 152 [$13 675]; difference $16 319; 95% confidence interval [CI], $14 300-$18 338; P < 0.001). The annual cost of living per person (standard deviation) was higher in counties with 1 or more OPSs versus counties with zero OPSs ($39 238 [$6992] vs. $36 227 [$3516]; difference $3011; 95% CI, $2328-$3694; P < 0.001). Counties with zero OPSs versus counties with 1 or more OPSs had higher proportions of persons with only Medicaid (15.6% vs. 13.6%; difference 2.0%; 95% CI, 1.4%-2.5%; P < 0.001), no health insurance (9.9% vs. 8.0%; difference 1.9%; 95% CI, 1.5%-2.4%; P < 0.001), no household internet access (17.2% vs. 9.6%; difference 7.6%; 95% CI, 7.1%-8.0%; P < 0.001), and higher proportions of persons aged 65 years or older (20.0% vs. 17.0%; difference 3.0%; 95% CI, 2.5%-3.5%; P < 0.001). CONCLUSIONS: This cross-sectional analysis of all US counties revealed socioeconomic disparities associated with access to OPSs. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Geographic distribution and genetic diversity of Newcastle disease virus in pigeons from Pakistan.

RESEARCH HIGHLIGHTS: Virulent NDV genotypes were repeatedly isolated from pigeons.Evidence of epidemiological links among viruses isolated from various locations.Distinct phylogenetic branches suggest separate, simultaneous evolution of NDVs.Study information could be helpful in the development of an effective vaccine.

Geographic distribution of bacterial communities of inland waters in China.

Microorganisms are integral to freshwater ecological functions and, reciprocally, their activity and diversity are shaped by the ecosystem state. Yet, the diversity of bacterial community and its driving factors at a large scale remain elusive. To bridge this knowledge gap, we delved into an analysis of 16S RNA gene sequences extracted from 929 water samples across China. Our analyses revealed that inland water bacterial communities showed a weak latitudinal diversity gradient. We found 530 bacterial genera with high relative abundance of hgcI clade. Among them, 29 core bacterial genera were identified, that is strongly linked to mean annual temperature and nutrient loadings. We also detected a non-linear response of bacterial network complexity to the increasing of human pressure. Mantel analysis suggested that MAT, HPI and P loading were the major factors driving bacterial communities in inland waters. The map of taxa abundance showed that the abundant CL500-29 marine group in eastern and southern China indicated high eutrophication risk. Our findings enhance our understanding of the diversity and large-scale biogeographic pattern of bacterial communities of inland waters and have important implications for microbial ecology.

Chronic Pancreatitis in a Large Developing Country: Temporal Trends of Over 64,000 Hospitalizations from 2009 to 2019.

BACKGROUND/OBJECTIVES: Chronic pancreatitis (CP) is a progressive inflammatory disorder associated with marked morbidity and mortality and frequently requires hospitalization. This study aimed to investigate the time trends and geographical distribution of hospital admissions, the lethality rate of CP across Brazil, and the potential relationship with social indicators and associated risk factors. METHODS: Data were retrospectively obtained from the Brazilian Public Health System Registry between January 2009 and December 2019. The prevalence and lethality rates of CP per 100,000 inhabitants in each municipality were estimated from hospitalizations to in-hospital deaths and classified by age, sex, and demographic features. RESULTS: During the study period, 64,609 admissions were retrieved, and most of the patients were males (63.54%). Hospitalization decreased by nearly half (-54.68%) in both sexes. CP rates in males were higher in all age groups. The greatest reduction in admissions (- 64%) was also noted in patients ≥ 70y. CP In-hospital lethality remained stable (5-6%) and similar for males and females. Patients ≥ 70y showed the highest lethality. The greatest increase in CP lethality rates (+ 10%) was observed in municipalities integrated into metropolises, which was mainly driven by small-sized municipalities (+ 124%). CONCLUSIONS: CP hospitalizations decrease in both urban and rural areas, particularly in the North, Northeast, and Central-West regions, and in those above 70 years of age, but are not correlated with lethality rates in the South. This suggests ongoing changes in the environmental and socioeconomic factors in Brazil.

Trends in the geographic inequality of advanced practice nursing workforce in cancer care in Japan from 1996 to 2022: a panel data analysis.

BACKGROUND: Cancer was ranked as the second leading cause of global mortality in 2019, with an increasing incidence. An adequate workforce of healthcare professionals with special skills and knowledge in cancer care is vital for addressing the disparities in cancer prognosis. This study aimed to elucidate the trends in the advanced practice nursing workforce (APNW) in cancer care, which included certified nurse specialists (CNSs) and certified nurses (CNs) in each prefecture of Japan from the system's inception to the present. Further, it sought to analyze the regional disparities and compare these trends with other healthcare resources to identify contributing factors associated with the APNW in cancer care in each prefecture. METHODS: We performed a panel data analysis using publicly available data on the APNW in cancer care in each prefecture of Japan from 1996 to 2022. Gini coefficients were calculated to examine the trends in geographic equality. Univariate and multivariable fixed effect panel data regression models were used to examine regional factors associated with an APNW in cancer care. RESULTS: From 1996 to 2012, the APNW in cancer care increased from four to 6982 staff, while their Gini coefficients decreased from 0.79 to 0.43. However, from 2012 to 2022, the Gini coefficients decreased slightly from 0.43 to 0.41. The coefficient value was comparable to that for the disparity between hospital doctors (0.43) but more pronounced compared to those for other medical resources, such as hospitals (0.34), hospital nurses (0.37), and designated cancer care hospitals (0.29). The APNW in cancer care in each prefecture was significantly associated with a higher number of designed cancer care hospitals in the previous year (see first quartile, the coefficient for second quartile: 0.31, 95% confidence interval (CI) 0.21-0.40), and a fewer number of hospital doctors (- 1.89, 95%CI - 2.70 to - 1.09). CONCLUSIONS: The size of the APNW in cancer care has increased since the system was established in 1996 up till 2022. With the increase in numbers, geographic inequality narrowed until 2012 and has since then remained stagnant.

CARD9 mutations in patients with fungal infections: An update from the last 5 years.

BACKGROUND: Autosomal recessive deficiency in the caspase recruitment domain-containing protein 9 (CARD9) is a congenital immunological condition that leads to susceptibility to mucocutaneous and invasive fungal infections. There is growing incidence of fungal infections in patients with CARD9 deficiency, a phenomenon that is increasingly recognised. OBJECTIVES: This study aimed to assess the frequency, geographic distribution and nature of mutations in patients with CARD9 deficiency, based on published papers in the literature until March 2023. METHODS: We swiftly conducted a study to pinpoint every documented instance of fungal infections arising from CARD9 deficiency. We selected case reports from the databases of PubMed, Embase, Scopus and Google Scholar spanning the period from October 2009 to March 2023. RESULTS: We analysed 90 cases of fungal infections and identified 32 mutations in the CARD9 gene. Notably, the homozygous (HMZ) p.Q295X (c.883C > T) mutation was associated with an increased risk of candidiasis. In contrast, the HMZ p.Q289X (c.865C > T) mutation is linked to a higher risk of dermatophytosis. We observed differences in the geographical distribution of these mutations. The primary mutations found in African patients differ from those in Asian patients. Specifically, Asian patients exhibit a broader spectrum of CARD9 mutations than African patients. CONCLUSIONS: The diversity of mutations observed in the 90 cases revealed 32 distinct variations, emphasising the unique genetic alterations in the CARD9 gene associated with specific geographical areas and the corresponding prevalence of fungal infections.

Spatiotemporal epidemiology of substance-related accidental acute toxicity deaths in Canada from 2016 to 2017.

OBJECTIVES: In Canada, substance-related accidental acute toxicity deaths (AATDs) continue to rise at the national and sub-national levels. However, it is unknown if, where, when, and to what degree AATDs cluster in space, time, and space-time across the country. The objectives of this study were to 1) assess for clusters of AATDs that occurred in Canada during 2016 and 2017 at the national and provincial/territorial (P/T) levels, and 2) examine the substance types detected in AATD cases within each cluster. METHODS: Two years of person-level data on AATDs were abstracted from coroner and medical examiner files using a standardized data collection tool, including the decedent's postal code and municipality information on the places of residence, acute toxicity (AT) event, and death, and the substances detected in the death. Data were combined with Canadian census information to create choropleth maps depicting AATD rates by census division. Spatial scan statistics were used to build Poisson models to identify clusters of high rates (p < 0.05) of AATDs at the national and P/T levels in space, time, and space-time over the study period. AATD cases within clusters were further examined for substance types most present in each cluster. RESULTS: Eight clusters in five regions of Canada at the national level and 24 clusters in 15 regions at the P/T level were identified, highlighting where AATDs occurred at far higher rates than the rest of the country. The risk ratios of identified clusters ranged from 1.28 to 9.62. Substances detected in clusters varied by region and time, however, opioids, stimulants, and alcohol were typically the most commonly detected substances within clusters. CONCLUSION: Our findings are the first in Canada to reveal the geographic disparities in AATDs at national and P/T levels using spatial scan statistics. Rates associated with substance types within each cluster highlight which substance types were most detected in the identified regions. Findings may be used to guide intervention/program planning and provide a picture of the 2016 and 2017 context that can be used for comparisons of the geographic distribution of AATDs and substances with different time periods.

Update of the geographic range of Humboldt's squirrel monkeys (Saimiri cassiquiarensis cassiquiarensis Lesson, 1840) using a model-based approach.

Saimiri cassiquiarensis cassiquiarensis (Cebidae) is a primate subspecies with a wide distribution in the Amazonian region of Brazil, Colombia, and Venezuela. However, the boundaries of its geographic range remain poorly defined. This study presents new occurrence localities for this subspecies and updates its distribution using a compiled data set of 140 occurrence records based on literature, specimens vouchered in scientific collections, and new field data to produce model-based range maps. After cleaning our data set, we updated the subspecies' extent of occurrence, which was used in model calibration. We then modeled the subspecies' range using a maximum entropy algorithm (MaxEnt). The final model was adjusted using a fixed threshold, and we revised this polygon based on known geographic barriers and parapatric congeneric ranges. Our findings indicate that this subspecies is strongly associated with lowland areas, with consistently high daily temperatures. We propose modifications to all range boundaries and estimate that 3% of the area of occupancy (AOO, as defined by IUCN) has already been lost due to deforestation, resulting in a current range of 224,469 km2. We also found that 54% of their AOO is currently covered by protected areas (PAs). Based on these results, we consider that this subspecies is currently properly classified as Least Concern, because it occupies an extensive range, which is relatively well covered by PAs, and is currently experiencing low rates of deforestation.

Saimiri cassiquiarensis cassiquiarensis (Cebidae) é uma subespécie de primata com ampla distribuição na região amazônica do Brasil, Colômbia e Venezuela. No entanto, os limites de sua distribuição geográfica permanecem mal definidos. Este estudo apresenta novas localidades de ocorrência para essa subespécie e atualiza sua distribuição usando 140 registros de ocorrência compilados com base na literatura, espécimes depositados em coleções científicas e novos registros de campo para produzir mapas de distribuição baseados em modelos. Após a limpeza do nosso banco de dados, atualizamos a extensão de ocorrência da subespécie, que foi usada na calibração do modelo. Em seguida, modelamos a área de distribuição da subespécie usando um algoritmo de entropia máxima (MaxEnt). O modelo final foi ajustado usando um limiar fixo e revisamos esse polígono com base em barreiras geográficas conhecidas e na distribuição de congêneres parapátricas. Nosso modelo sugere que a espécie é fortemente associada a áreas planas, com temperaturas diárias consistentemente altas. Propomos modificações em todos os limites da área de distribuição e estimamos que 3% da área de ocupação (AOO, conforme definida pela IUCN) da subespécie já foi perdida devido ao desmatamento, resultando em uma área de distribuição atual de 224,469 km2. Também estimamos que 54% de sua AOO encontra­se atualmente coberta por áreas protegidas. Com base nesses resultados, consideramos que a subespécie está apropriadamente classificada como Pouco Preocupante, pois ocupa uma área extensa, que é relativamente bem coberta por áreas protegidas e atualmente apresenta baixas taxas de desmatamento.

Predicting the geographical potential distribution of species Opisina arenosella Walker in China under different climate scenarios based on the MaxEnt model.

As global warming increases with the frequency of extreme weather, the distribution of species is inevitably affected. Among them, highly damaging invasive species are of particular concern. Being able to effectively predict the geographic distribution of invasive species and future distribution trends is a key entry point for their control. Opisina arenosella Walker is an invasive species, and its ability to live on the backs of foliage and generate canals to hide adds to the difficulty of control. In this paper, the current and future distributions of O. arenosella under three typical emission scenarios in 2050 and 2090 are projected based on the MaxEnt model combining 19 bioclimatic variables. Filter through the variables to find the four key environment variables: BIO 1, BIO 6, BIO 11 and BIO 4. The results show that O. arenosella is distributed only in the eight provinces of Tibet, Yunnan, Fujian, Guangxi, Taiwan, Guangdong, Hong Kong and Hainan in the southeastern region. Its high suitability area is concentrated in Taiwan and Hainan. In the long run, highly suitable areas will continue to increase in size, while moderately suitable areas and poorly suitable areas will decrease to varying degrees. This paper aims to provide theoretical references for the control of O. arenosella.

Mapping ethical, legal, and social implications (ELSI) of preimplantation genetic testing (PGT).

PURPOSE: Preimplantation Genetic Testing (PGT) has attracted considerable ethical, legal, and social scrutiny, but academic debate often fails to reflect clinical realities. METHODS: Addressing this disconnect, a review of 506 articles from 1999 to 2019 across humanities and social sciences was conducted to synthesize the Ethical, Legal, and Social Implications (ELSI) of PGT. This review mined PubMed, WoS, and Scopus databases, using both MeSH terms and keywords to map out the research terrain. RESULTS: The findings reveal a tenfold increase in global research output on PGT's ELSI from 1999 to 2019, signifying rising interest and concern. Despite heightened theoretical discourse on selecting "optimal" offspring, such practices were scarcely reported in clinical environments. Conversely, critical issues like PGT funding and familial impacts remain underexplored. Notably, 86% of the ELSI literature originates from just 12 countries, pointing to a research concentration. CONCLUSION: This review underscores an urgent need for ELSI research to align more closely with clinical practice, promoting collaborations among ethicists, clinicians, policymakers, and economists. Such efforts are essential for grounding debates in practical relevance, ultimately steering PGT towards ethical integrity, societal acceptance, and equitable access, aiming to harmonize PGT research with real-world clinical concerns, enhancing the relevance and impact of future ethical discussions.

Mapping ethical, legal, and social implications (ELSI) of fertility preservation.

RESEARCH QUESTION: The study examines the ethical, legal, and social implications of fertility preservation, highlighting its importance across oncofertility, elective egg freezing, and posthumous assisted reproduction, as well as its impact on transgender individuals undergoing gender-affirming surgeries. DESIGN: A comprehensive analysis of 600 articles, focusing on a diverse range of disciplines, including bioethics, psychology, and sociology, to explore public and healthcare professionals' knowledge, patient experiences, and regulatory constraints. RESULTS: The body of literature is growing, indicating increasing recognition of FP's significance. Key themes included the centrality of counseling and informed decision-making, especially in oncofertility and EEF, and ethical debates surrounding informed consent and the autonomy of involved individuals. The analysis underscored a western-centric bias in current research, emphasizing the need for more inclusive and culturally sensitive studies. CONCLUSIONS: The study calls for a nuanced understanding of FP, advocating for policies that consider ethical, cultural, and social dimensions. It suggests the necessity for interdisciplinary research to address identified gaps, particularly in understanding non-Western perspectives and ensuring equitable access to FP services globally. Moreover, the review emphasizes the importance of integrating patient-centric approaches and ethical frameworks to guide FP practices and policies, ensuring they respect diverse values and meet individuals' needs.

Mapping Ethical, Legal, and Social Implications (ELSI) of gamete donation.

RESEARCH QUESTION: This scoping review investigates the Ethical, Legal, and Social Implications (ELSI) of gamete donation, a critical facet of Assisted Reproductive Technologies, by analyzing the evolving research scope, methodological approaches, and the geographical skew in the literature. Despite the increased global uptake of donor gametes, current scholarship predominantly emanates from Western contexts and focuses on majoritized groups. This bias constrains the universality of research findings and limits their applicability across varied legal, cultural, and social contexts, underscoring a need for broader inclusivity. DESIGN: We addressed 867 pivotal articles published between 1999 and 2019. RESULTS: Our analysis reveals a discernible escalation in research volume, with 62% based on empirical research. The intellectual landscape unfolds into four dominant clusters: Regulatory Frameworks, Incentives, and Access; Family Dynamics and Genetic Linkages; Identity and Privacy in Donor Conception; and Cultural and Societal Attitudes towards GD. Each cluster highlights nuanced dimensions of gamete donation, from regulatory intricacies and psychological welfare to identity ethics and cultural perceptions. CONCLUSION: Our findings advocate for a shift towards more globally representative and methodologically inclusive research. By integrating diverse cultural narratives and expanding geographical breadth, future research can offer holistic understandings of gamete donation, fostering equitable and culturally resonant practices and policies worldwide.

Apple Bitter Rot and Glomerella Leaf Spot: A Comprehensive Review of Causal Species and Their Biology, Fungicide Sensitivities, and Management Strategies.

Bitter rot and Glomerella leaf spot (GLS) are two distinct diseases of apple fruit and foliage caused by members of the ascomycete fungal genus Colletotrichum. While GLS is restricted to subtropical and in some areas to temperate climates, bitter rot is responsible for significant yield loss worldwide, particularly during the post-harvest period. Initially thought to be caused by just two species of Colletotrichum, C. acutatum and C. gloeosporioides, advances in molecular biology and sequencing techniques enabled the identification of 25 different species capable of causing bitter rot and/or GLS of apple belongs to the C. gloeosporioides species complex (CGSC), C. acutatum species complex (CASC) and C. boninense species complex (CBSC). Three species (C. gloeosporioides, C. fructicola, and C. chrysophilum) of CGSC cause both bitter rot and GLS, 18 species (6 of CGSC and 12 of CASC) only cause bitter rot, and four species (C. aenigma and C. asianum of CGSC, C. limetticola of CASC and C. karstii of CBSC) only cause GLS. These species were found to differ in their geographical distribution, environmental and host tissue preference, pathogenicity, and fungicide sensitivities. In this review, we summarize the distribution, life cycle, and pathogenicity mechanisms of all currently known Colletotrichum species responsible for bitter rot and GLS of apple. Furthermore, we describe known apple defense mechanisms and management strategies for the control of these economically significant pathogens and identify gaps in our present understanding for future research.

Advances in life-history knowledge for 35 seahorse species from community science.

Marine community science presents an important route to gather valuable scientific information while also influencing local management and policy, thus contributing to marine conservation efforts. Because seahorses are cryptic but charismatic species, they are good candidates for engaging diverse people to help overcome the many gaps in biological knowledge. We have synthesized information contributed to the community science project iSeahorse from October 2013 to April 2022 for 35 of 46 known seahorse species. We then compared the obtained results with information in existing IUCN Red List assessments, executed from 2014 to 2017, to explore the potential of iSeahorse in expanding seahorse knowledge. Our results show updated geographic ranges for 7 seahorse species, new habitats described for 24 species, observations outside the previously recorded depth range for 14 species, and new information on sex ratio for 15 species and on pregnancy seasonality for 11 species. As one example of the power of iSeahorse, contributed observations on Coleman's pygmy seahorse (Hippocampus colemani) indicated that its geographic range is thousands of square kilometers larger, its habitat more diverse, and its depth range shallower than previously known. It is clear that iSeahorse is expanding knowledge on seahorses to a level that will help improve IUCN Red List assessments. The power of community science for marine conservation in general needs to be fully explored.

The recovery potential and utilization pathway of chemical energy from wastewater pollutants during wastewater treatment in China.

Research on the potential for chemical energy recovery and the optimization of recovery pathways in different regions of China is still lacking. This study aimed to address this gap by evaluating the potential and optimize the utilization pathways for chemical energy recovery in various regions of China for achieving sustainable wastewater treatment. The results showed that the eastern and northeastern regions of China exhibited higher chemical energy levels under the existing operating conditions. Key factors affecting chemical energy recovery included chemical oxygen demand removal (ΔCOD), treatment scale, and specific energy consumption (µ) of wastewater treatment plants (WWTPs). Furthermore, the average improvement in the chemical energy recovery rate with an optimized utilization pathway was approximately 40% in the WWTPs. The use of the net-zero energy consumption (NZE) model proved effective in improving the chemical energy recovery potential, with an average reduction of greenhouse gas (GHG) emissions reaching next to 95% in the investigated WWTPs.

Cervical cancer geographical burden analyzer: An interactive, open-access tool for understanding geographical disease burden in patients with recurrent or metastatic cervical cancer.

OBJECTIVE: Cervical cancer (CC) disproportionately affects women based on socioeconomic status and racial/ethnic background. There is limited research in quantifying and visualizing whether substantial geographical disparities in the US exist with respect to CC burden, and especially with respect to recurrent or metastatic CC (r/mCC) disease burden. Identifying regions with higher r/mCC burden may help inform effective healthcare resource allocation and navigating patients to appropriate care. METHODS: We conducted a retrospective analysis of the 2015-2020 MarketScan® Commercial and Supplemental Medicare claims data; r/mCC burden was estimated as the number of patients initiating r/mCC systemic therapy over CC-diagnosed patients for each of the 410 metropolitan statistical areas (MSAs) considered. We developed a public, web-based tool, the Cervical Cancer Geographical Disease Burden Analyzer (Cervical Cancer Geo-Analyzer, http://www.geo-analyzer.org), that allows users to visualize r/mCC burden across MSAs over multiple years. RESULTS: There was considerable variation in r/mCC burden across MSAs, with a range of 0-83.3%. Burden increased in Boston-Cambridge-Newton, MA (r/mCC to CC ratio: 41% in 2018 to 50% in 2020), and Sacramento-Roseville-Arden-Arcade, CA (33% in 2018 to 50% in 2020). On the other hand, while r/mCC burden remained high, it decreased in Grand Rapids, MI (55% in 2018 to 31% in 2020) and San Francisco-Oakland-Hayward, CA (40% in 2018 to 26% in 2020). There were regions with sparse or no data, suggesting a need for more representative data capture. CONCLUSION: The Cervical Geo-Analyzer is a tool to visualize areas with high need for CC interventions. It also builds the foundation for further work to understand local risk factors of disease burden, identify populations of interest, characterize health disparities of CC or r/mCC and inform targeted interventions.

Integrating habitat-masked range maps with quantifications of prevalence to estimate area of occupancy in IUCN assessments.

Estimates of species geographic ranges constitute critical input for biodiversity assessments, including those for the International Union for the Conservation of Nature (IUCN) Red List of Threatened Species. Area of occupancy (AOO) is one metric that IUCN uses to quantify a species' range, but data limitations typically lead to either under- or overestimates (and unnecessarily wide bounds of uncertainty). Fortunately, existing methods in which range maps and land-cover data are used to estimate the area currently holding habitat for a species can be extended to yield an unbiased range of plausible estimates for AOO. Doing so requires estimating the proportion of sites (currently containing habitat) that a species occupies within its range (i.e., prevalence). Multiplying a quantification of habitat area by prevalence yields an estimate of what the species inhabits (i.e., AOO). For species with intense sampling at many sites, presence-absence data sets or occupancy modeling allow calculation of prevalence. For other species, primary biodiversity data (records of a species' presence at a point in space and time) from citizen-science initiatives and research collections of natural history museums and herbaria could be used. In such cases, estimates of sample prevalence should be corrected by dividing by the species' detectability. To estimate detectability from these data sources, extensions of inventory-completeness analyses merit development. With investments to increase the quality and availability of online biodiversity data, consideration of prevalence should lead to tighter and more realistic bounds of AOO for many taxonomic groups and geographic regions. By leading to more realistic and representative characterizations of biodiversity, integrating maps of current habitat with estimates of prevalence should empower conservation practitioners and decision makers and thus guide actions and policy worldwide.

Estimaciones de las distribuciones geográficas de las especies constituyen insumos críticos para evaluaciones de la biodiversidad, incluyendo la Lista Roja de Especies Amenazadas de la Unión Internacional de la Conservación de la Naturaleza (UICN). El área de ocupación (AOO) es una métrica que usa la UICN para cuantificar la distribución de una especie aunque, típicamente, limitaciones en los datos disponibles hacen que métodos actuales produzcan subestimaciones o sobreestimaciones del área (y rangos de incertidumbre innecesariamente amplios). Afortunadamente, para producir un rango no sesgado de estimaciones plausibles para AOO se pueden desarrollar extensiones de métodos existentes en los cuales se usan mapas de distribución y datos de cobertura del suelo para estimar el área que efectivamente ofrece hábitat para una especie. Tal proceso requiere estimar la proporción de sitios que ocupa una especie dentro de su distribución (de las que actualmente proveen hábitat; i.e., prevalencia). Multiplicar una cuantificación del área con hábitat por la prevalencia resulta en un estimado del área que ocupa la especie (i.e., AOO). Para especies con muestreos intensivos en muchos sitios, la prevalencia se puede calcular utilizando conjuntos de datos de presencia/ausencia o el modelado de ocupación. Para otras especies se podrían usar datos primarios de biodiversidad (registros de la ocurrencia de una especie en un punto en el espacio y el tiempo) provenientes de iniciativas de ciencia ciudadana y colecciones de referencia de herbarios y museos de historia natural. En tales casos, estimaciones de la prevalencia de una muestra deben ser corregidas, dividiendo por la detectabilidad de la especie. Estimar la detectabilidad utilizando estas fuentes de datos amerita desarrollar extensiones de análisis de completitud de inventarios. Con esfuerzos para aumentar la calidad y disponibilidad de datos de biodiversidad en línea, el uso de prevalencia en el cálculo de AOO debe resultar en estimaciones más realistas y con rangos de incertidumbre reducidos para muchos grupos taxonómicos y regiones geográficas. Debido a que conducen hacía caracterizaciones más reales y representativas de la biodiversidad, técnicas que integran mapas de hábitat actual y estimaciones de prevalencia pueden empoderar a profesionales de la conservación y tomadores de decisiones, y así guiar acciones y políticas alrededor del mundo.