Information For Planning Management Research Articles

Study on Damage Information Management Plan for Maintenance and Operation of River Facilities

Study on Damage Information Management Plan for Maintenance and Operation of River Facilities

Anthropogenic landforms and geo-hydrological hazards of the Bisagno Stream catchment (Liguria, Italy)

ABSTRACT This work presents the geomorphological features associated with the anthropic morphogenesis of the Bisagno Stream catchment, combined with the geo-hydrological hazards associated with landslides and floods. This catchment is internationally known for its recurring high-magnitude floods and its geo-hydrological hazards associated with the large and widespread presence of elements exposed at risks. It experienced severe morphological changes due to anthropogenic interventions related to urban sprawl and agriculture. Anthropogenic modifications to the former landscape have been particularly widespread and pervasive over the coastline, the floodplain, and the slopes. They include a general alteration of the pristine landforms, excavation and landfill forms, channelization and culvert of riverbeds, and terraced slopes. The 1:20,000 scale map allows to assess the relationships existing among structures and infrastructures, anthropogenic landforms, and landslides and flood-prone areas. Thus, this tool provides relevant information for land-use planning and land management, in particular under the perspective of geo-hydrological hazards mitigation.

Relationship between aquifer biofilms and unattached microbial indicators of urban groundwater contamination.

Aquifers, springs and other groundwater-dependent ecosystems are threatened by urban land use, which causes water quality deterioration through nutrient loading, sewage infiltration, groundwater extraction and, along coasts, seawater intrusion. The presence of certain microbes in groundwater can indicate that an aquifer is anthropogenically contaminated. Interpretations made from observations of indicator microbes in groundwater are limited because the relationship between the presumably allochthonous indicator microbes and relevant autochthonous microbial communities has not been characterized. This study addressed whether autochthonous aquifer biofilms can influence the presence of presumed microbial indicators in groundwater, and simultaneously used microbial indicators to trace sources of urban contamination at a karst spring of conservation concern. These questions were approached using a 17-month time series analysis of attached biofilm and adjacent unattached bacteria in the submerged karst aquifer conduit associated with this spring. Environmental 16S rRNA gene sequencing was performed to characterize these communities, and community structure data were contextualized with groundwater geochemical and hydrogeological measurements. Linear regression models were developed to explain the relative abundance patterns of indicator microbes and other unattached microbes at this site. The results of this study suggest that dominant aquifer biofilms do not influence the presence of unattached microbial taxa that are presumed to be indicators of groundwater contamination, and generated new information about the origin of coliform bacteria at the study site. These results build confidence in the use of microbial indicators in groundwater-dependent ecosystem conservation strategies and inform future management plans for urban aquifers and springs worldwide.

A comparison of perioperative pain control in total shoulder arthroplasty: preoperative tramadol is associated with decreased long-term opiate use when compared with traditional opioids

BackgroundProlonged opiate use has been associated with adverse patient outcomes and high societal costs. While tramadol, an alternative to traditional opiate pain medications, has evidence-based support for the treatment of knee osteoarthritis, no clear guidance exists in the shoulder arthroplasty literature to guide perioperative prescribing practices. MethodsAll patients from a private insurance database who underwent total or reverse shoulder arthroplasty between 2008 and 2015 were identified. These patients were grouped into 3 mutually exclusive cohorts based on perioperative pain management regimes: those who received (1) traditional opiates only, (2) tramadol only, (3) nonopioids only. These groups were compared for length of stay, prolonged opioid use (defined as opioid use >3 months after surgery), emergency department (ED) visits, 90-day readmissions, and medical complication ResultsFrom 2008 to 2015, 5,797 shoulder arthroplasty patients met inclusion criteria for the study. Of those, 498 (8.6%) received pre- and postoperative tramadol, 2001 (34.5%) traditional opioids, and 3289 (56.7%) nonopioids only. Traditional opioid use was weakly associated with a higher risk of minor medical complications (odds ratio [OR] 1.20, confidence interval [CI] 1.00-1.97, P = .048), ED visits (OR 1.22, CI 19 1.03-1.43, P = .017), and 90-day readmission (OR 1.29, 1.03-1.62, P = .025) compared to nonopioid only users. Additionally, these patients had a markedly higher risk of prolonged narcotic use (OR 6.72, CI 5.89-7.68, P < .001). ConclusionsShoulder arthroplasty who received perioperative tramadol were less likely than those who received traditional opioids to require prolonged opiate pain medication. Given the well-established negative consequences of prolonged opiate use and lack of association between tramadol use and medical complications found in the current study, tramadol should be considered in shoulder arthroplasty candidates. However, tramadol is not without its own risks, and the risk of prolonged postoperative narcotic use is still higher within this population compared to those patients who take no opioids. These results should help inform preoperative pain management plans in patients who are likely to undergo eventual TSA. Level of EvidenceLevel III; Retrospective Cohort Study

Using XML schemas to structure information models of capital construction facilities

Introduction. Building Information Modeling (BIM) is an auspicious approach that supports management and exchange of semantically rich 3D models across design disciplines. Recently, BIM has gained widespread acceptance in the AEC industry, and it improves the efficiency and quality of the process by facilitating the early exchange of 3D building models. At different stages of the life cycle, a building information model is gradually refined from rough conceptual design to detailed individual components. The task is to develop mechanisms for machine verification (authentication) of data transmitted to/from different systems (for example, from a customer to an expert evaluation authority, from a contractor to the urban planning management information system or any other state information system) in the form of an information model of capital construction facilities or certain components of an information model.&#x0D; Materials and methods. To substantiate the choice of the language employed to describe machine-readable documents, various use cases of XML schemas were analyzed, including the use of the Google Trends tool. Information systems, implemented in the Russian Federation, were also considered. Most of them use the W3C XML Schema language to describe XSD schemas.&#x0D; Results. A consolidated list of XML schemas, necessary and sufficient to maintain stages of the life cycle of a capital construction facility in terms of interaction with the Urban Planning Management Information System is presented. To ensure interaction between the life cycle participants and state information systems, it is necessary to have the list of XML schemas approved at the federal level. The paper presents matrixes of scenarios for the application of XML schemas in the following coordinates: participants, life cycle stages.&#x0D; Conclusions. XML schemas can be supplemented in respect of various stages of a life cycle of a capital construction faci-lity to be verified with due regard for further methodological approaches and changes in regulatory and technical acts; new approaches and the need for this supplementation must be substantiated.

Spatial and operational factors behind passenger yield of U.S. nonhub primary airports

Nonhub airports are an essential component in the National Plan of Integrated Airport Systems (NPIAS) of the United States in that they connect regional towns and small communities to the air transportation network. Understanding the interplay of operational and spatial factors in determining average passenger yield of nonhub airports provides airlines with valuable information for network planning and revenue management. This study examines factors contributing to the yield variation among nonhub airports in the U.S. Using ordinary least squares (OLS) based econometric models, this study captures the spatial dependence of passenger yield of nonhub airports, which tends to increase with a corresponding increase in distance to the nearest large hub airport. Nonhub airports surrounding large hub airports with higher passenger enplanements and higher average yields also have higher yields than other nonhub airports. In addition, this study finds the effect of Allegiant Airlines in lowering the average passenger yield of the nonhub airports served directly by the airline, which can be termed as ‘Allegiant Effect’. Findings of this study could provide valuable guidance for airlines to analyze network planning strategies and to identify future markets for growth and for policymakers when allocating resources to communities relying on these nonhub airports.

Strontium isotopes (87Sr/86Sr) reveal the life history of freshwater migratory fishes in the La Plata Basin

AbstractStrontium isotopes (87Sr/86Sr) were evaluated as a potential method for studying the geographical origin of populations and movements patterns of migratory fish from the La Plata Basin (Paraná, Uruguay and Bermejo Rivers and Río de la Plata Estuary, South America). Surface water samples were collected at 43 sites during austral summer and winter (2018) while, Surubí (Pseudoplatystoma corruscans), Patí (Luciopimelodus pati), dorado (Salminus brasiliensis) and sábalo (Prochilodus lineatus) fishes were collected at seven locations. Water 87Sr/86Sr ratio was analysed by MC‐ICP‐MS (N = 74) and otolith core‐to‐edge 87Sr/86Sr transects (N = 50) were measured by LAfs‐MC‐ICP‐MS. Several water bodies presented significantly different (p &lt; 0.05) water 87Sr/86Sr values. A ~ 1:1 relationship was found between 87Sr/86Sr measured in edge otolith and water. Data provide novel perspectives about migratory behaviour for all species, such as potential cross‐border migrations between countries of more than 1,000 km recorded for L. pati, S. brasiliensis and P. lineatus. These species seem to move between the Paraná and Uruguay rivers, which imply using the delta or the estuary as a corridor between them. Discriminant analysis based on otolith core 87Sr/86Sr suggested that the four species studied originate in sub‐basins different from those that were collected and revelled the presence of several potential spawning/nursery areas. The otolith 87Sr/86Sr profiles also suggested movements between different environments such as reservoirs, large plain rivers, mountain streams, floodplain valleys and estuaries. These results show the potential of 87Sr/86Sr as a tool for tracking the life history of fishes, and depict for the first time a complex use of the La Plata basin by the fishes, providing new information for management plans at the regional level.

Development of a fate and transport model for biodegradation of PBDE congeners in sediments

Polybrominated diphenyl ethers (PBDEs) are a family where each congener possesses different physicochemical properties, persistence and/or toxicity. Biodegradation can selectively change the abundance of congeners. These warrant modeling of individual congeners by considering biodegradation pathways together with fate and transport (F&T) mechanisms. Accordingly, this study aims to develop a F&T model (Fate and Transport model for Hydrophobic Pollutants - FTHP) that integrates congener specific biodegradation of PBDEs in sediments. The model is tested using sediment data from a location representing the Lower South Bay of San Francisco. Results demonstrated settling, resuspension, and biodegradation as important mechanisms. FTHP is then used to predict congener concentrations in a period of 20 years for two cases (constant and time-dependent water column concentrations) and four alternative scenarios: no intervention (i.e., natural attenuation, also serves as the base case), no degradation, dredging and biostimulation. The greatest impact on the reduction of total PBDE concentrations was achieved by a reduction in water column concentrations, i.e. source control, and dredging. On the other hand, biostimulation coupled with source control was the most effective in reducing bioaccumulative PBDE congener concentrations and almost as effective as dredging for the rest of congeners. Proposed FTHP model can distinguish between congeners and help devise informed management plans which focus on decreasing risks associated with persistent and bioaccumulative compounds in contaminated sediments.

Using a Vegetation Model and Stakeholder Input to Assess the Climate Change Vulnerability of Tribally Important Ecosystem Services

We demonstrate a generalizable approach for assessing climate change effects on tribally important ecosystem goods and services. Indigenous peoples may be highly vulnerable to the impacts of climate change because they rely on ecosystem goods and services, such as traditional foods, hunting, timber production, nontimber forest resources, and cultural resources. However, there are few assessments that have examined the potential impact of climate change on these goods and services and even less that examine ecological, socio-economic, and cultural resources in the Pacific Northwest, USA. Our approach uses four basic steps: (1) identify 78 tribally important ecosystem services (species and resources), (2) relate those ecosystem services with biologically relevant vegetation projections from a dynamic global vegetation model, (3) identify appropriate timeframes and future climate scenarios, and (4) assess future changes for vegetation types and ecosystem services. We then highlight how model uncertainty can be explored to better inform resilience building and adaptation planning. We found that more than half of the species and resources analyzed may be vulnerable to climate change due to loss of potential habitat, including aridland species and grazing quality. We further highlight our findings for tribally important species, huckleberries (genus Vaccinium) and bitterbrush (Purshia tridentate (Pursh) DC.), and show how this information can be applied to help inform resource management and adaptation planning. We have demonstrated a generalizable approach that identified tribally important ecosystem services and related them with biologically relevant vegetation projections from a Dynamic Global Vegetation Model. Although our assessment is focused in the Pacific Northwest, our approach can be applied in other regions for which model data is available. We recognize that there is some inherent uncertainty associated with using model output for future scenario planning; however, if that uncertainty is addressed and applied as demonstrated by our approach, it then can be explored to help inform resource management and adaptation planning.

Climate‐change refugia in boreal North America: what, where, and for how long?

The vast boreal biome plays an important role in the global carbon cycle but is experiencing particularly rapid climate warming, threatening the integrity of valued ecosystems and their component species. We developed a framework and taxonomy to identify climate‐change refugia potential in the North American boreal region, summarizing current knowledge regarding mechanisms, geographic distribution, and landscape indicators. While “terrain‐mediated” refugia will mostly be limited to coastal and mountain regions, the ecological inertia (resistance to external fluctuations) contained in some boreal ecosystems may provide more extensive buffering against climate change, resulting in “ecosystem‐protected” refugia. A notable example is boreal peatlands, which can retain high surface soil moisture and water tables even in the face of drought. Refugia from wildfire are also especially important in the boreal region, which is characterized by active disturbance regimes. Our framework will help identify areas of high refugia potential, and inform ecosystem management and conservation planning in light of climate change.

Machine Learning-Based and 3D Kinematic Models for Rockfall Hazard Assessment Using LiDAR Data and GIS

Rockfall is one of the most hazardous phenomena in mountainous and hilly regions with high and steep terrain. Such incidents can cause massive damage to people, properties, and infrastructure. Therefore, proper rockfall hazard assessment methods are required to save lives and provide a guide for the development of an area. The aim of this research is to develop a method for rockfall hazard assessment at two different scales (regional and local). A high-resolution airborne laser scanning (ALS) technique was utilized to derive an accurate digital terrain model (DTM); next, a terrestrial laser scanner (TLS) was used to capture the topography of the two most critical areas within the study area. A staking machine-learning model based on different classifiers, namely logistic regression (LR), random forest (RF), artificial neural network (ANN), support vector machine (SVM), and k-nearest neighbor (KNN), was optimized and employed to determine rockfall probability by utilizing various rockfall conditioning factors. A developed 3D rockfall kinematic model was used to obtain rockfall trajectories, velocity, frequency, bouncing height, kinetic energy, and impact location. Next, a spatial model combined with a fuzzy analytical hierarchy process (fuzzy-AHP) integrated in the Geographic Information System (GIS) was developed to assess rockfall hazard in two different areas in Ipoh, Malaysia. Additionally, mitigation processes were suggested and assessed to provide a comprehensive information for urban planning management. The results show that, the stacking random forest–k-nearest neighbor (RF-KNN) model is the best hybrid model compared to other tested models with an accuracy of 89%, 86%, and 87% based on training, validation, and cross-validation datasets, respectively. The three-dimension rockfall kinematic model was calibrated with an accuracy of 93% and 95% for the two study areas and subsequently the rockfall trajectories and their characteristics were derived. The assessment of the suggested mitigation processes proves that the proposed methods can reduce or eliminate rockfall hazard in these areas. According to the results, the proposed method can be generalized and applied in other geographical places to provide decision-makers with a comprehensive rockfall hazard assessment.

Serological Immunity to Smallpox in New South Wales, Australia.

The re-emergence of smallpox is an increasing and legitimate concern due to advances in synthetic biology. Vaccination programs against smallpox using the vaccinia virus vaccine ceased with the eradication of smallpox and, unlike many other countries, Australia did not use mass vaccinations. However, vaccinated migrants contribute to population immunity. Testing for vaccinia antibodies is not routinely performed in Australia, and few opportunities exist to estimate the level of residual population immunity against smallpox. Serological data on population immunity in Australia could inform management plans against a smallpox outbreak. Vaccinia antibodies were measured in 2003 in regular plasmapheresis donors at the Australian Red Cross Blood Service from New South Wales (NSW). The data were analysed to estimate the proportion of Australians in NSW with detectable serological immunity to vaccinia. The primary object of this study was to measure neutralising antibody titres against vaccinia virus. Titre levels in donor samples were determined by plaque reduction assay. To estimate current levels of immunity to smallpox infection, the decline in geometric mean titres (GMT) over time was projected using two values for the antibody levels estimated on the basis of different times since vaccination. The results of this study suggest that there is minimal residual immunity to the vaccinia virus in the Australian population. Although humoral immunity is protective against orthopoxvirus infections, cell-mediated immunity and immunological memory likely also play roles, which are not quantified by antibody levels. These data provide an immunological snapshot of the NSW population, which could inform emergency preparedness planning and outbreak control, especially concerning the stockpiling of vaccinia vaccine.

Penerapan Sistem Informasi Manajemen Keluarga Berencana Pada Badan Kependudukan Keluarga Berencana Daerah

Regional Population Family Planning Board is an institution / agency that functions to control the population by providing information on contraceptives to the community to form family planning. Family Planning is a government program designed to balance the needs of life and population. The family planning program is carried out by the government so that the family as the smallest unit of national life accepts the Norms of a Happy and Prosperous Small Family which is oriented towards balanced growth. To support this goal, it is necessary to collect data on fertile age couples. The fertile age couples data collection activity that was previously carried out manually is an administrative process as well as routine activities carried out. Based on the reality on the ground, the fertile age couples data collection which is carried out manually is deemed ineffective and inefficient. Therefore, it is necessary to implement a Family Planning Management Information System, among others, for online fertile age couples data collection with the aim of creating transparency in fertile age couples data and facilitating data collection on participants of fertile, targeted, and quality family planning couples. The place of research is the Regional Population Family Planning Board Curugkembar Sukabumi District.           From the results of the application of the Family Planning Management Information System, it can be concluded that: The application of a Web-based Family Planning Management Information System at the Regional Family Planning Population Board, facilitates and speeds up data processing. The system also allows setting the service schedule and control. In designing a web-based Management Information System program, it minimizes the possibility of errors in the data entry process for fertile age couples on family planning. With the implementation of this Management Information System, delays in making reports will be minimized every month.

Extracting Impervious Surface from Aerial Imagery Using Semi-Automatic Sampling and Spectral Stability

The quantification of impervious surface through remote sensing provides critical information for urban planning and environmental management. The acquisition of quality reference data and the selection of effective predictor variables are two factors that contribute to the low accuracies of impervious surface in urban remote sensing. A hybrid method was developed to improve the extraction of impervious surface from high-resolution aerial imagery. This method integrates ancillary datasets from OpenStreetMap, National Wetland Inventory, and National Cropland Data to generate training and validation samples in a semi-automatic manner, significantly reducing the effort of visual interpretation and manual labeling. Satellite-derived surface reflectance stability is incorporated to improve the separation of impervious surface from other land cover classes. This method was applied to 1-m National Agriculture Imagery Program (NAIP) imagery of three sites with different levels of land development and data availability. Results indicate improved extractions of impervious surface with user’s accuracies ranging from 69% to 90% and producer’s accuracies from 88% to 95%. The results were compared to the 30-m percent impervious surface data of the National Land Cover Database, demonstrating the potential of this method to validate and complement satellite-derived medium-resolution datasets of urban land cover and land use.

Can singing rate be used to predict male breeding status of forest songbirds? A comparison of three calibration models

AbstractFor male songbirds, song rate varies throughout the breeding season and is correlated with breeding cycle stages. Although these patterns have been well documented, this relationship has not been used to predict a bird's breeding status from acoustic monitoring. This challenge of using a response (i.e., behavior) to indirectly measure an underlying biological state is common in ecology, but correctly addressing the associated statistical challenge of calibration is rare. The objective of this study was to determine whether variation in song rate can be used to predict the breeding status of the Olive‐sided Flycatcher (Contopus cooperi). In 2016, song rates from 28 male Olive‐sided Flycatchers were collected from human observers (n = 545 five‐minute counts) and breeding status (i.e., single, paired, and feeding young) was monitored throughout the breeding season. The predictive ability of three modeling approaches—regression, hierarchical, and a classification tree—was evaluated using sensitivity and specificity to determine the best modeling approach. The hierarchical model was the best at predicting all three breeding status classes, with a mean sensitivity of 69%, compared with 54% and 50% from the regression and machine learning models, respectively. Our results suggest that song rate can be used as an indirect measurement of breeding status in the Olive‐sided Flycatcher when using a hierarchical modeling approach to calibrate the breeding status–song rate relationship. This novel modeling approach provides a cost‐effective tool to collect much needed demographic information over large spatial extents and inform species status assessments, recovery strategies, and management plans for species of conservation concern.

Contemporary Fire Regimes Provide a Critical Perspective on Restoration Needs in the Mexico-United States Borderlands

The relationship between people and wildfire has always been paradoxical: fire is an essential ecological process and management tool, but can also be detrimental to life and property. Consequently, fire regimes have been modified throughout history through both intentional burning to promote benefits and active suppression to reduce risks. Reintroducing fire and its benefits back into the Sky Island mountains of the United States-Mexico borderlands has the potential to reduce adverse effects of altered fire regimes and build resilient ecosystems and human communities. To help guide regional fire restoration, we describe the frequency and severity of recent fires over a 32-year period (1985-2017) across a vast binational region in the United States-Mexico borderlands and assess variation in fire frequency and severity across climate gradients and in relation to vegetation and land tenure classes. We synthesize relevant literature on historical fire regimes within 9 major vegetation types and assess how observed contemporary fire characteristics vary from expectations based on historical patterns. Less than 28% of the study area burned during the observation period, excluding vegetation types in warmer climates that are not adapted to fire (eg, Desertscrub and Thornscrub). Average severity of recent fires was low despite some extreme outliers in cooler, wetter environments. Midway along regional temperature and precipitation gradients, approximately 64% of Pine-Oak Forests burned at least once, with fire frequencies that mainly corresponded to historical expectations on private lands in Mexico but less so on communal lands, suggesting the influence of land management. Fire frequency was higher than historical expectations in extremely cool and wet environments that support forest types such as Spruce-Fir, indicating threats to these systems possibly attributable to drought and other factors. In contrast, fires were absent or infrequent across large areas of Woodlands (~73% unburned) and Grasslands (~88% unburned) due possibly to overgrazing, which reduces abundance and continuity of fine fuels needed to carry fire. Our findings provide a new depiction of fire regimes in the Sky Islands that can help inform fire management, restoration, and regional conservation planning, fostered by local and traditional knowledge and collaboration among landowners and managers.

PEDT-02 DIAGNOSIS, TREATMENT AND CLINICAL OUTCOME OF ATYPICAL BRAINSTEM TUMOUR IN CHILDHOOD

BACKGROUNDBrainstem tumours account for 10–15% of brain tumors in childhood. Diffuse intrinsic pontine glioma (DIPG) accounts for 60–80% of them and are diagnosed based on clinical findings and radiologic features. All the rest of tumours excluding DIPG are very rare, heterogeneous group of tumours including low-grade glioma and malignant embryonal tumors. It is often difficult to diagnose and decide treatment strategy for their rarity.METHODSTo present our experience with atypical brainstem tumours, a retrospective chart review was conducted to identify eligible cases treated over a ten-year period. All tumors involving brainstem, felt not to be DIPGs for absence of clinical/neuroimaging features were included. Demographic information, pathological findings, neuroimaging characteristics, surgical and nonsurgical management plans, and survival data were collected for analysis.RESULTSBetween April 2007 and March 2017, 16 patients (14 initial and 2 recurrent) aged from 3 to 20 years were identified. 14 of them were symptomatic and 4 of them were asymptomatic at reference. Of 10 symptomatic cases, 10 were biopsied and pathological diagnosis was low-grade glioma in 8, glioblastoma in 2 cases. They had treatment depending on the pathological diagnosis. Of 4 asymptomatic cases, one with small focal tumour, with no findings suggesting malignant tumour with 11C-methioninePET or MRS, progressed to show typical clinical and image findings of DIPG in a year. For other three, they remain asymptomatic without progression with no treatment for 25months, 60months, and 65 months respectively. Malignant transformation was observed in one with biopsy-conformed oligoastrocytoma with no K27M-H3 mutations treated with chemotherapy and another with pilocytic astrocytoma treated with chemotherapy and radiotherapy.CONCLUSIONSThough molecular findings such as K27M-H3 mutations can predict clinical outcome in some cases, it still remains difficult to diagnose and find treatment strategy of atypical brainstem tumours. The need and usefulness of nationwide registry study is warranted.

Gonadosomatic Index, Oocyte Development and Fecundity of the Snakehead Fish (Channa striata) in Natural River of Mae La, Singburi Province, Thailand.

Reproductive cycle of snakehead fish (Channa striata) is necessary to inform management plans of the natural fish. This work aimed to study the gonadosomatic index (GSI), oocyte development and fecundity of C. striata in the Mae La River, Singburi province, Thailand from November, 2017-October, 2018. GSI was calculated from gonadal weight and body weight. Ovarian sections derived from standard histological methods were used to evaluate oocyte development, respectively. Fecundity was measured using the gravimetric method and the relationships of fecundity-total length, fecundity-body weight and fecundity-ovarian weight were evaluated. The highest average GSI values for females and males were found in July (6.15±0.20 and 0.14±0.12, respectively). Ovarian histology revealed 4 stages of ovarian development: (1) immature, (2) maturing, (3) mature and (4) spent. Stages 1, 2, 3 and 4 were observed for 11, 10, 6 and 2 months, respectively. The highest percentages of immature, mature and spent oocytes were found in October (93.33%), July (89.56%) and August (33.33%), respectively. Fecundity ranged from 4,160-46,890. Fecundity varied depending on total length, body weight and ovarian weight, with correlation coefficients (R) of 0.986, 0.960 and 0.989, respectively. Oocyte maturation period of C. striata occurs from April to August. The highest gonads development was in July. Fecundity exhibited linear relationships with body length, body weight and ovarian weight.

An Efficient and Scene-Adaptive Algorithm for Vehicle Detection in Aerial Images Using an Improved YOLOv3 Framework

Vehicle detection in aerial images has attracted great attention as an approach to providing the necessary information for transportation road network planning and traffic management. However, because of the low resolution, complex scene, occlusion, shadows, and high requirement for detection efficiency, implementing vehicle detection in aerial images is challenging. Therefore, we propose an efficient and scene-adaptive algorithm for vehicle detection in aerial images using an improved YOLOv3 framework, and it is applied to not only aerial still images but also videos composed of consecutive frame images. First, rather than directly using the traditional YOLOv3 network, we construct a new structure with fewer layers to improve the detection efficiency. Then, since complex scenes in aerial images can cause the partial occlusion of vehicles, we construct a context-aware-based feature map fusion to make full use of the information in the adjacent frames and accurately detect partially occluded vehicles. The traditional YOLOv3 network adopts a horizontal bounding box, which can attain the expected detection effects only for vehicles with small length–width ratio. Moreover, vehicles that are close to each other are liable to cause lower accuracy and a higher detection error rate. Hence, we design a sloping bounding box attached to the angle of the target vehicles. This modification is conducive to predicting not only the position but also the angle. Finally, two data sets were used to perform extensive experiments and comparisons. The results show that the proposed algorithm generates the desired and excellent performance.

Fire disturbance influences endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) relative bird count

AbstractPeriodicity of fire disturbance is a known driver of ecosystem function and is reported as important in both promoting and maintaining viable breeding habitat for the endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS). In south Florida, the CSSS serves as a fine‐scale indicator of the marl and mixed‐marl prairie communities of the Florida Everglades. The CSSS distribution is affected by numerous well‐documented physical drivers, including water depth and fire regime. Here, we fit zero‐inflated negative binomial generalized linear mixed models and used model selection to determine the relationship between CSSS bird count observations from 1992 to 2014 and the spatially‐specific fire return interval on the landscape. CSSS bird count was highest at a 5–8‐year fire return interval and increased linearly with the percent of cell burned (400 × 400 m cells). The results of this study can inform management plans designed to maintain existing, and promote new, marl prairie habitat for conservation of the CSSS.