scholarly journals Roadkill records of reptiles and birds in Cerrado and Pantanal landscapes

Check List ◽  
2018 ◽  
Vol 14 (5) ◽  
pp. 845-876 ◽  
Author(s):  
Wagner Fischer ◽  
Raquel Faria de Godoi ◽  
Antonio Conceição Paranhos Filho
Keyword(s):  
Species Distribution ◽  
Road Safety ◽  
New Records ◽  
Bird Species ◽  
Vehicle Collisions ◽  
Reptile Species

We monitored reptile and bird roadkills in Cerrado–Pantanal landscapes along the Campo Grande to Corumbá highway BR-262. We describe species distribution in different landscape zones, including the first geographic record for Hydrodynastes bicinctus Herrmann, 1804 in the Pantanal basin. The roadkill occurrence of Spizaetus melanoleucus (Vieillot, 1816) is an outstanding record. We recorded 930 individuals belonging to 29 reptile and 47 bird species; 20 of these species are new roadkill records in Brazil. The 8 new records of reptile species include Eunectes notaeus Cope, 1862, Bothrops mattogrossensis Amaral,1925, Dracaena paraguayensis Amaral,1950 and H. bicinctus; and 12 new records of bird species include S. melanoleucus, Heterospizias meridionalis Latham, 1790, Urubitinga urubitinga (Gmelin, 1788), Pulsatrix perspicillata (Latham, 1790), Aramus guarauna (Linnaeus, 1766), and Jabiru mycteria (Lichtenstein, 1819). Richness of road-killed species on the BR-262 highway seemed to be high, reinforcing concerns about wildlife-vehicle collisions where these accidents occur, as they lead to long term and chronic impacts on wildlife and road safety in the Pantanal region. 

scholarly journals Domain randomization-enhanced deep learning models for bird detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Mao ◽  
Jun Kang Chow ◽  
Pin Siang Tan ◽  
Kuan-fu Liu ◽  
Jimmy Wu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Continuous Monitoring ◽  
Bird Species ◽  
Training Data ◽  
Learning Models ◽  
Fine Grained ◽  
Bird Detection ◽  
Relationship Of ◽  
The Relationship

AbstractAutomatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the domain randomization strategy to enhance the accuracy of the deep learning models in bird detection. Trained with virtual birds of sufficient variations in different environments, the model tends to focus on the fine-grained features of birds and achieves higher accuracies. Based on the 100 terabytes of 2-month continuous monitoring data of egrets, our results cover the findings using conventional manual observations, e.g., vertical stratification of egrets according to body size, and also open up opportunities of long-term bird surveys requiring intensive monitoring that is impractical using conventional methods, e.g., the weather influences on egrets, and the relationship of the migration schedules between the great egrets and little egrets.

scholarly journals The implications of vehicle collisions for the Endangered endemic Zanzibar red colobus Piliocolobus kirkii

Oryx ◽  
2021 ◽  
pp. 1-9
Author(s):  
Harry Olgun ◽  
Mzee Khamis Mohammed ◽  
Abbas Juma Mzee ◽  
M. E. Landry Green ◽  
Tim R. B. Davenport ◽  
...  
Keyword(s):  
Road Ecology ◽  
Local Population ◽  
Red Colobus ◽  
Vehicle Collisions ◽  
The Road ◽  
Life History Data ◽  
Natural Predation ◽  
Historical Accounts ◽  
The Impact

Abstract Roads affect wildlife in a variety of negative ways. Road ecology studies have mostly concentrated on areas in the northern hemisphere despite the potentially greater impact of roads on biodiversity in tropical habitats. Here, we examine 4 years (January 2016–December 2019) of opportunistic observations of mammalian roadkill along a road intersecting Jozani-Chwaka Bay National Park, Unguja, Zanzibar. In particular, we assess the impact of collisions on the population of an endemic primate, the Endangered Zanzibar red colobus Piliocolobus kirkii. Primates accounted for the majority of roadkill in this dataset. Monthly rainfall was not associated with roadkill frequency for mammals generally, nor for the Zanzibar red colobus. No single age–sex class of colobus was found dead more often than expected given their occurrence in the local population. The overall effect of roadkill on colobus populations in habitats fragmented by roads is unknown given the lack of accurate, long-term life history data for this species. Our findings suggest that mortality from collisions with vehicles in some groups of colobus is within the range of mortality rates other primates experience under natural predation. Unlike natural predators, however, vehicles do not kill selectively, so their impact on populations may differ. Although a comparison with historical accounts suggests that the installation of speedbumps along the road near the Park's entrance has led to a significant decrease in colobus roadkill, further actions to mitigate the impact of the road could bring substantial conservation benefits.

Nest cameras do not affect nest survival in a meadow-nesting shorebird

2020 ◽  
pp. 1-10
Author(s):  
VOLKER SALEWSKI ◽  
LUIS SCHMIDT
Keyword(s):  
Nest Survival ◽  
Bird Species ◽  
Conservation Strategies ◽  
Survival Models ◽  
Northern Germany ◽  
Term Study ◽  
Long Term Study ◽  
Limosa Limosa ◽  
Study Sites

Summary Identifying the fate of birds’ nests and the causes of breeding failure is often crucial for the development of conservation strategies for threatened species. However, collecting these data by repeatedly visiting nests might itself contribute to nest failure or bias. To solve this dilemma, automatic cameras have increasingly been used as a time-efficient means for nest monitoring. Here, we consider whether the use of cameras itself may influence hatching success of nests of the Black-tailed Godwit Limosa limosa at two long-term study sites in northern Germany. Annually between 2013 and 2019, cameras were used to monitor godwit nests. In 2014 and 2019, nests were randomly equipped with cameras or not, and nest survival checked independently of the cameras. Nest-survival models indicated that survival probabilities varied between years, sites and with time of the season, but were unaffected by the presence of cameras. Even though predation is the main cause of hatching failure in our study system, we conclude that predators did not learn to associate cameras with food either when the cameras were initially installed or after they had been used for several years. Cameras were thus an effective and non-deleterious tool to collect data for conservation in this case. As other bird species may react differently to cameras at their nests, and as other sets of predators may differ in their ability to associate cameras with food, the effect of cameras on breeding success should be carefully monitored when they are used in a new study system.

scholarly journals Driver Liability Assessment in Vehicle Collisions in Spain

2021 ◽  
Vol 18 (4) ◽  
pp. 1475
Author(s):  
Almudena Sanjurjo-de-No ◽  
Blanca Arenas-Ramírez ◽  
José Mira ◽  
Francisco Aparicio-Izquierdo
Keyword(s):  
Road Safety ◽  
Accurate Estimation ◽  
Main Hypothesis ◽  
Self Organizing Maps ◽  
Safety Measures ◽  
Vehicle Collisions ◽  
Promising Tool ◽  
Visual Clustering ◽  
Open Question ◽  
The Impact

An accurate estimation of exposure is essential for road collision rate estimation, which is key when evaluating the impact of road safety measures. The quasi-induced exposure method was developed to estimate relative exposure for different driver groups based on its main hypothesis: the not-at-fault drivers involved in two-vehicle collisions are taken as a random sample of driver populations. Liability assignment is thus crucial in this method to identify not-at-fault drivers, but often no liability labels are given in collision records, so unsupervised analysis tools are required. To date, most researchers consider only driver and speed offences in liability assignment, but an open question is if more information could be added. To this end, in this paper, the visual clustering technique of self-organizing maps (SOM) has been applied to better understand the multivariate structure in the data, to find out the most important variables for driver liability, analyzing their influence, and to identify relevant liability patterns. The results show that alcohol/drug use could be influential on liability and further analysis is required for disability and sudden illness. More information has been used, given that a larger proportion of the data was considered. SOM thus appears as a promising tool for liability assessment.

Long-term stress level in a small mammal species undergoing range expansion

Mammalia ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Adrien André ◽  
Johan Michaux ◽  
Jorge Gaitan ◽  
Virginie Millien
Keyword(s):  
Stress Level ◽  
Species Distribution ◽  
Small Mammal ◽  
Range Expansion ◽  
Mammal Species ◽  
Distribution Ranges ◽  
Northern Edge ◽  
Small Mammal Species ◽  
White Footed Mouse

Abstract Rapid climate change is currently altering species distribution ranges. Evaluating the long-term stress level in wild species undergoing range expansion may help better understanding how species cope with the changing environment. Here, we focused on the white-footed mouse (Peromyscus leucopus), a widespread small mammal species in North-America whose distribution range is rapidly shifting northward. We evaluated long-term stress level in several populations of P. leucopus in Quebec (Canada), from the northern edge of the species distribution to more core populations in Southern Quebec. We first tested the hypothesis that populations at the range margin are under higher stress than more established populations in the southern region of our study area. We then compared four measures of long-term stress level to evaluate the congruence between these commonly used methods. We did not detect any significant geographical trend in stress level across our study populations of P. leucopus. Most notably, we found no clear congruence between the four measures of stress level we used, and conclude that these four commonly used methods are not equivalent, thereby not comparable across studies.

Illustrated guide to Pentatominae (Hemiptera: Pentatomidae) species associated with the four main grain crops in Rio Grande do Sul state, Brazil

Zootaxa ◽  
2021 ◽  
Vol 4958 (1) ◽  
pp. 430-478
Author(s):  
LURDIANA D. BARROS ◽  
MARCELO R. PAIM ◽  
VERÔNICA KREIN ◽  
VICTOR CARABAJAL ◽  
MARCELA N. BRANDÃO ◽  
...  
Keyword(s):  
Species Distribution ◽  
New Records ◽  
Species Recognition ◽  
Rio Grande ◽  
Economic Importance ◽  
Stink Bugs ◽  
Rio Grande Do Sul ◽  
Distribution Maps ◽  
Grain Crops ◽  
Scientific Collections

Several stink bugs in the subfamily Pentatominae are crop pests or have the potential to damage plants of economic importance. In the Brazilian state of Rio Grande do Sul, where agriculture plays a major role in the economy, the knowledge about pest stink bugs is fragmented and, in some instances, outdated. This work provides a summary of Pentatominae species recorded in Rio Grande do Sul feeding on the four most important grain crops for the state, i.e. soybean, rice, maize, and wheat, plus canola, an emerging crop. This survey is enhanced with new records from scientific collections, a short diagnosis for each species, distribution maps, an identification key, and carefully illustrated to allow for species recognition in the field. With this work, we aim to reunite the scattered knowledge of the group in one single revision, and provide a useful tool for identifying the pest stink bugs of Rio Grande do Sul. 

Long-term Monitoring for Avian Influenza Viruses in Wild Bird Species in Italy

2003 ◽  
Vol 27 ◽  
pp. 107-114 ◽  
Author(s):  
M.A. De Marco ◽  
E. Foni ◽  
L. Campitelli ◽  
E. Raffini ◽  
M. Delogu ◽  
...  
Keyword(s):  
Avian Influenza ◽  
Wild Bird ◽  
Bird Species ◽  
Influenza Viruses ◽  
Avian Influenza Viruses ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals Ultraviolet-sensitive vision in long-lived birds

2010 ◽  
Vol 278 (1702) ◽  
pp. 107-114 ◽  
Author(s):  
Livia S. Carvalho ◽  
Ben Knott ◽  
Mathew L. Berg ◽  
Andrew T. D. Bennett ◽  
David M. Hunt
Keyword(s):  
Uv Light ◽  
Bird Species ◽  
Visual Sensitivity ◽  
Opsin Gene ◽  
Uv Sensitivity ◽  
Long Period ◽  
Lens Transparency ◽  
Avian Order

Long-term exposure to ultraviolet (UV) light generates substantial damage, and in mammals, visual sensitivity to UV is restricted to short-lived diurnal rodents and certain marsupials. In humans, the cornea and lens absorb all UV-A and most of the terrestrial UV-B radiation, preventing the reactive and damaging shorter wavelengths from reaching the retina. This is not the case in certain species of long-lived diurnal birds, which possess UV-sensitive (UVS) visual pigments, maximally sensitive below 400 nm. The Order Psittaciformes contains some of the longest lived bird species, and the two species examined so far have been shown to possess UVS pigments. The objective of this study was to investigate the prevalence of UVS pigments across long-lived parrots, macaws and cockatoos, and therefore assess whether they need to cope with the accumulated effects of exposure to UV-A and UV-B over a long period of time. Sequences from the SWS1 opsin gene revealed that all 14 species investigated possess a key substitution that has been shown to determine a UVS pigment. Furthermore, in vitro regeneration data, and lens transparency, corroborate the molecular findings of UV sensitivity. Our findings thus support the claim that the Psittaciformes are the only avian Order in which UVS pigments are ubiquitous, and indicate that these long-lived birds have UV sensitivity, despite the risks of photodamage.

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