Trait variation between and within Andes and coastal mountain ranges in the iconic South American tree Araucaria araucana in Chile

As global commitments to restoration are underway, science is needed to support capacity to achieve meaningful gains for ecosystems and human communities. In Chile, identification and generation of appropriate plant material is a barrier to achieving major restoration goals under the Paris Climate Agreement. Understanding genetic differentiation among plant populations is needed to maximize restoration success. For Araucaria araucana, a highly threatened iconic South American tree, this information is greatly needed to guide restoration and conservation efforts because this species occurs across a strong climate gradient. We grew seedlings from 12 populations of A. araucana across its range in Chile in a common garden to assess regional (coastal versus Andes mountain ranges) and population variation in key plant traits and relate this variation to environmental variables. We demonstrate that A. araucana is differentiated within regions and populations across its range in Chile by a suite of traits, particularly branch number and length (showing plant architectural differences) and needle width (showing leaf investment differences). We show that this variation is at least partly explained by climate and soil variables, with the most variation explained by differences between regions in temperature annual range. Thus, we recommend that restoration efforts focus on conserving genetic variation among and within regions and their populations and preventing the translocations of genotypes between coastal and Andes populations.

Chemical quality and water quality indices of Fiche drinking water, Oromia, Ethiopia

The problem of drinking water quality is common in developing countries. While a piped water supply is available in many parts of Fiche, Ethiopia, the water may be contaminated in the distribution system and thus, continuous quality assessment is required to ensure safe drinking water for the community. Instrumental and spectrophotometric methods were used to analyze the chemical characteristics including dissolved oxygen, pH, temperature, chloride, fluoride, nitrate, nitrite, sulfate, ammonia, iron and manganese. The weighted arithmetic water quality index method was applied to assess the water's quality rating. The chemical characteristics of the tap water's annual range was; temperature between 19.4 and 20.0°C, pH between 6.8 and 7.6, DO between 4.5 and 6.1 mg/L, ammonia between 0.01 and 0.2 mg-NH3/L, nitrate between 1.1 and 1.8 mg-NO3/L, nitrite between 0.003 and 0.06 mg-NO2/L, 2.0 and 19.1 mg-SO42−/L, chloride between 10.07 and 30.0 mg-Cl−/L, manganese between 0.003 and 0.003 mg-Mn/L, iron between 0.01 and 0.03 mg-Fe/L. The WQIs for the reservoir and tap water were 25.031 and 40.676, respectively, so the tap water is rated ‘good’ for drinking.

Comparison of Catasetum bicolor and C. ochraceum (Catasetinae: Orchidaceae) habitat preferences: implications for their conservation

Family Orchidaceae is widely recognized for its mutualistic relationship with their pollinators, however, the knowledge about the most diverse monocotyledonous group on the planet it is still limited. Here, we recognized the ecological requirements and modeled the habitat preferences for Catasetum bicolor and C. ochraceum (Subfamily: Epidendroideae). We used climatic and bioclimatic data along with species’ occurrences records in a) Principal Components Analysis (PCA) to screen for the most influential variables; and, b) a maximum entropy algorithm (Maxent) for habitat suitability modeling. Also, preliminary conservation status and probable priority areas for monitoring and conservation were identified. Both species differed in their habitat preferences as shown by the altitudinal range. Factors screened by PCA were associated to temperature (average, minimum, seasonality), solar radiation, and precipitation of the driest and warmest months. The variables that influenced the most in the modeling process for C. bicolor were solar radiation, temperature seasonality, and its annual range; while for C. ochraceum were the precipitation of the driest month and solar radiation. Areas with habitat suitable conditions were identified in countries (Brazil, Colombia, Costa Rica, Ecuador, Nicaragua, Panama, and Venezuela) and biomes (humid and dry tropical, and subtropical forests) with highly dynamic land cover changes. The studied species were found to be in an endangered status based on their area of occupancy (< 76 km2). However, considering their extent of occurrence (> 20000 km2), they are in a status of less concern. These findings may be relevant for future monitoring plans and planning for ex-situ and in-situ conservation strategies.

Compound hot temperature and high chlorophyll extreme events in global lakes

An emerging concern for lake ecosystems is the occurrence of compound extreme events i.e., situations where multiple within-lake extremes occur simultaneously. Of particular concern are the co-occurrence of lake heatwaves (anomalously warm temperatures) and high chlorophyll-a extremes, two important variables that influence the functioning of aquatic ecosystems. Here, using satellite observations, we provide the first assessment of univariate and compound extreme events in lakes worldwide. Our analysis suggests that the intensity of lake heatwaves and high chlorophyll-a extremes differ across lakes and are influenced primarily by the annual range in surface water temperature and chlorophyll-a concentrations. The intensity of lake heatwaves is even greater in smaller lakes and in those that are shallow and experience cooler average temperatures. Our analysis also suggests that, in most of the studied lakes, compound extremes occur more often than would be assumed from the product of their independent probabilities. We anticipate compound extreme events to have more severe impacts on lake ecosystems than those previously reported due to the occurrence of univariate extremes.

Invasive hornets on the road: motorway-driven dispersal must be considered in management plans of Vespa velutina

Understanding the mechanisms that potentiate the dispersion of an invasive species is essential to anticipate its arrival into new regions and to develop adequate management actions to minimize damage to biodiversity and society. One of the most successful invaders in Europe, the yellow-legged hornet (Vespa velutina), is dispersing through self-diffusion and jump dispersal. Using information on species occurrence in Portugal from 2013 to 2018, this study aimed to understand the range expansion trajectory of V. velutina and to identify the role of climate, landscape and anthropogenic variables on the two mechanisms of spread. We found that in Portugal the invasion is proceeding faster southwards (45 km/year) along the Atlantic coast than eastwards (20 km/year) where the climatic suitability gradient is more compressed, with jump dispersal playing an important role in this difference and in the acceleration of the invasion process. Dispersal by diffusion was best explained by the annual range of temperature and precipitation of the wettest month, with distance to shrub land also having an important role. Additionally, jump dispersal appeared to be facilitated by motorways, hinting at the role of human-mediated dispersal. Indeed, the number of nests that resulted from this dispersive mechanism were significantly closer to motorways than expected by chance. To prevent the dispersal of V. velutina into Mediterranean regions, and in addition to a special attention to the advancing front, early monitoring programs should also target a buffer zone on both sides of motorways, and at freight shipping hubs.

Landscape Characteristics Influence Ranging Behavior of Asian Elephants at The Human-Wildlands Interface in Myanmar

ContextAsian elephant numbers are declining across much of their range driven largely by serious threats from land use change resulting in habitat loss and fragmentation. Myanmar, holding critical range for the species, is undergoing major developments due to recent sociopolitical changes. To effectively manage and conserve the remaining populations of endangered elephants in the country, it is crucial to understand their ranging behavior.ObjectivesOur objectives were to (1) estimate the sizes of dry, wet and annual ranges of free ranging elephants in Myanmar; and quantify the relationship between dry season (the period when human-elephant interactions are the most likely to occur) range size and configurations of agriculture and natural vegetation within the range, and 2) evaluate how percentage of agriculture within dry core range (50% AKDE range) of elephants relates to their daily distance traveled.MethodsWe used autocorrelated kernel density estimator (AKDE) based on a continuous-time movement modeling (ctmm) framework to estimate dry season (26 ranges from 22 different individuals), wet season (12 ranges from 10 different individuals), and annual range sizes (8 individuals), and reported the 95%, 50% AKDE, and 95% Minimum Convex Polygon (MCP) range sizes. We assessed how landscape characteristics influenced range size based on a broad array of 48 landscape metrics characterizing aspects of vegetation, water, and human features and their juxtaposition in the study areas. To identify the most relevant landscape metrics and simplify our candidate set of informative metrics, we relied on exploratory factor analysis and Spearman’s rank correlation coefficient. Based on this analysis we adopted a final set of metrics into our regression analysis. In a multiple regression framework, we developed candidate models to explain the variation in AKDE dry season range sizes based on the previously identified, salient metrics of landscape composition. ResultsElephant dry season ranges were highly variable averaging 792.0 km2 and 184.2 km2 for the 95% and 50% AKDE home ranges, respectively. We found both the shape and spatial configuration of agriculture and natural vegetation patches within an individual elephant’s range play a significant role in determining the size of its range. We also found that elephants are moving more (larger energy expenditure) in ranges with higher percentages of agricultural area.ConclusionOur results provide baseline information on elephant spatial requirements and the factors affecting them in Myanmar. This information is important for advancing future land use planning that takes into account space-use requirements for elephants. Failing to do so may further endanger already declining elephant populations in Myanmar and across the species’ range.

152. Sharp Decline in Rates of Community Respiratory Viral Infections Among NIH Clinical Center Patients During the COVID-19 Pandemic

Background During the first year of the COVID-19 pandemic, nonpharmaceutical interventions had a broad impact on viral transmission apart from SARS-CoV-2. The NIH Clinical Center has used the BioFire FilmArray multiplex PCR respiratory pathogen panel (RPP) for evaluation of upper respiratory symptoms since 2014. Beginning in 3/20, respiratory samples from symptomatic patients were tested by SARS-CoV-2 PCR and the RPP. We performed a retrospective study comparing frequency and rates of community respiratory viruses detected by RPP from 1/14 through 3/21. Methods Results of RPPs from nasopharyngeal swabs/washes, bronchoalveolar lavages, and bronchial washes were included. Results from viral challenge studies were excluded. Charts were reviewed to determine whether repeat positives for the same virus within 12 months represented new infections; repeats from the same infection were excluded. A quantitative data analysis was completed using cross tabulations; comparisons were done using mixed models, applying Dunnett’s correction for multiplicity. Results A total of 3,329 patients underwent 8,122 RPPs from 1/14 through 3/21. Frequency of all respiratory pathogens declined from an annual range of 0.88-1.97% from 1/14-3/20 to 0.29% in 4/20-3/21 (p &lt; 0.001). Individual viral pathogens declined sharply in frequency during the pandemic, with zero cases of influenza A/B, parainfluenza, or metapneumovirus detected from 4/20-3/21. One case each of adenovirus, RSV, CoV OC43, and CoV HKU1 were detected in 4/20-3/21. Rhino/enterovirus detection continued, but with a substantially lower frequency of 4.27% in 4/20-3/21, compared with an annual range of 8.65-18.28% from 1/14-3/20 (p &lt; 0.001). Frequency of detection of all respiratory pathogens tested using the Biofire FilmArray multiplex PCR respiratory pathogen panel from January 2014 through March 2021. The frequency of pathogen detection from April 2020 through March 2021 declined substantially in comparison with previous years. Frequency of detection of influenza A, influenza B, rhinovirus/enterovirus, parainfluenza (1, 2, 3, 4), and respiratory syncytial virus from January 2014 through March 2021. The frequency of detection of these pathogens declined sharply starting in April 2020. Conclusion During the pandemic, the burden of viral respiratory infections detected among patients at the NIH Clinical Center improved considerably. This reprieve was likely thanks to the layered COVID-19 prevention and mitigation measures implemented in the community and the hospital: masking, distancing, symptom screening, isolation and testing symptomatic persons. As COVID-19 vaccination allows relaxation of masking, community transmission of respiratory viruses will likely resume; continued mask-wearing in the hospital may provide an enduring benefit by preventing nosocomial transmission. Disclosures Tara N. Palmore, MD, Nothing to disclose

The Effect of Geographical and Climatic Factors on the Distribution of Phlebotomus papatasi (Diptera: Psychodidae) in Golestan Province, an Endemic Focus of Zoonotic Cutaneous Leishmaniasis in Iran, 2014

Background: Phlebotomus papatasi is known as the main vector of zoonotic cutaneous leishmaniasis. This study aimed to investigate the effect of geographical and bioclimatic factors on the Ph. papatasi distribution. Methods: A total of 34 villages were selected, and sampling was performed three times using 120 sticky traps in each selected village. All the collected species were mounted and identified their species. The densities of Ph. papatasi were measured in all the villages and entered into ArcMap as a point layer. The required bioclimatic and environmental vari- ables were extracted from the global climate database and The normalized difference vegetation index was obtained from the MODIS satellite imagery, also, all variables entered into ArcMap as raster layers, so The numerical value of each independent variable in the cell where the selected village is located in this, was extracted using spatial analyst tools and the value to point submenu. All the data were finally entered into IBM SPSS, and the relationship was exam- ined between the number of collected Ph. papatasi and the independent variables using Spearman's correlation test. Results: A total of 1773 specimens of Ph. papatasi were collected. The findings of this study showed that max tem­perature of warmest month, temperature annual range, temperature seasonality, mean diurnal range, precipitation sea­sonality, mean temperature of driest and warmest quarter were positively associated with the density of Ph. papatasi. Conclusion: Air temperature and precipitation were shown as the most significant factors in the distribution of Ph. pa­patasi.

Combining Tracking and Remote Sensing to Identify Critical Year-Round Site, Habitat Use and Migratory Connectivity of a Threatened Waterbird Species

We tracked 39 western flyway white-naped cranes (Antigone vipio) throughout multiple annual cycles from June 2017 to July 2020, using GSM-GPS loggers providing positions every 10-min to describe migration routes and key staging areas used between their Mongolian breeding and wintering areas in China’s Yangtze River Basin. The results demonstrated that white-naped cranes migrated an average of 2556 km (±187.9 SD) in autumn and 2673 km (±342.3) in spring. We identified 86 critical stopover sites that supported individuals for more than 14 days, within a 100–800 km wide migratory corridor. This study also confirmed that Luan River catchment is the most important staging region, where white-naped cranes spent 18% of the annual cycle (in both spring and autumn) each year. Throughout the annual cycle, 69% of the tracking locations were from outside of the currently protected areas, while none of the critical staging areas enjoyed any form of site protection. We see further future potential to combine avian tracking data and remote-sensing information throughout the annual range of the white-naped crane to restore it and other such species to a more favourable conservation status.

Taxonomy and ecology of genus Phlogophora Treitschke, 1825 (Lepidoptera: Noctuidae) in Indian Himalaya with description of a new species

The Genus Phlogophora Treitschke, 1825 (Noctuidae: Xyleninae), widely distributed in Palaearctic and Oriental realms, is especially diverse within Indian Himalaya with 12 known species till now. Current communication reports three species new to India viz. P. meticulodina (Draudt, 1950), P. nobilis Hreblay & Ronkay, 1998 and P. szecsenyii Hreblay & Ronkay, 1998 and a new species P. similis Bandyopadhyay, Mallick, Sanyal & Chandra sp. nov., thus bringing the species number to 16 for the country, along with taxonomic key with morphology and genitalia-based diagnosis for all the Indian/Himalayan species. Out of those species, partial mitochondrial Cytochrome C Oxidase I (COI) sequences were generated for 6 species, of which 5 were novel to the NCBI GenBank. The genus had maximum species richness and abundance in Eastern Himalayan Temperate Forest spanning 1800–2500 m in Central Himalayan landscape of Darjeeling-Sikkim and Nepal. Current Habitat suitability model of six Phlogophora species indicated that temperature dependent variables like Temperature Annual Range, Temperature Seasonality and Elevation are the most contributing factors for their predicted distribution range. The genus comprising of both Polycyclic and Monocyclic species became most abundant during Post-monsoon, in cold (9–11 ºC) and humid (87–91%) nights, in areas with Annual Mean Temperature ranging within 4.6–19.9 ºC and Annual Precipitation of 1000–2800 mm.