Spatiotemporal patterns of wildlife road mortality in the Pothwar Plateau, Pakistan

Mammalia ◽  
2019 ◽  
Vol 83 (5) ◽  
pp. 487-495 ◽  
Author(s):  
Faraz Akrim ◽  
Tariq Mahmood ◽  
Shaista Andleeb ◽  
Riaz Hussain ◽  
Wendy Jane Collinson
Keyword(s):  
Protected Areas ◽  
Conservation Strategies ◽  
Road Mortality ◽  
Vehicle Collisions ◽  
Road Kill ◽  
The Road ◽  
The Impact ◽  
Management And Conservation ◽  
Diurnal Species ◽  
Small Indian Mongoose

Abstract The current study investigated the impact of roads on native wildlife fauna in Pothwar Plateau, Pakistan. By conducting driven transects over a period of 24 months (March 2012–February 2014), we identified 131 carcasses resulting from wildlife-vehicle collisions or “road kill”, comprising 18 vertebrate species from seven different orders. The Asiatic jackal (Canis aureus; Linnaeus, 1758) was the most common road kill (37.4%), followed by the small Indian mongoose (Urva auropunctatus; Hodgson, 1836; 9.9%) and the red fox (Vulpes vulpes; Linnaeus, 1758; 8.4%). Road kill incidences included both nocturnal (55.6%) and diurnal species (44.5%). The maximum number of road kills were encountered in the Rawalpindi district area (46.6%), followed by Chakwal (36.6%), Jhelum (8.4%) and Attock (8.4%). The majority of road kills occurred on paved roads (93.9%; 0.009 road kill/km) with significantly fewer occurrences on unpaved roads (6.1%; 0.004 road kill/km). Similarly, 77% (0.009/km) of the road kills were found adjacent to protected areas. The majority of road kills (33%) occurred during the spring (February–April) but less in summer (May–July) and winter (November–January) (19.8% for both). The study provides important data on road mortality of wildlife species in the region bordering protected areas in the Pothwar Plateau, Pakistan, to initiate management and conservation strategies.

scholarly journals Frequency and causes of kangaroo - vehicle collisions on an Australian outback highway

2006 ◽  
Vol 33 (1) ◽  
pp. 5 ◽  
Author(s):  
Ulrike Klöcker ◽  
David B. Croft ◽  
Daniel Ramp
Keyword(s):  
Temporal Distribution ◽  
Traffic Volume ◽  
Source Population ◽  
Road Mortality ◽  
Night Time ◽  
Vehicle Collisions ◽  
Road Kill ◽  
The Road ◽  
On The Road ◽  
The Impact

Kangaroo–vehicle collisions are frequent on Australian highways. Despite high economic costs, detrimental effects on animal welfare, and potential impacts on population viability, little research has been done to investigate the impact of road mortality on kangaroo populations, where and why accidents occur, and how the collisions can be mitigated. We therefore collected data on species (Macropus rufus, M. giganteus, M. fuliginosus, M. robustus), sex and age of kangaroos killed on a 21.2-km bitumenised section of outback highway over 6 months in far western New South Wales, Australia. The spatial and temporal distribution of road-killed kangaroos was investigated in relation to the cover and quality of road-side vegetation, road characteristics, the density of kangaroos along the road, climatic variables and traffic volume. A total of 125 kangaroos were found killed on the road at a rate of 0.03 deaths km–1 day–1. Grey kangaroos of two species (M. giganteus, M. fuliginosus) were under-represented in the road-kill sample in comparison with their proportion in the source population estimated during the day. No bias towards either sex was found. The age structure of road-killed kangaroos was similar to age structures typical of source kangaroo populations. Road-kills mainly occurred in open plains country. In road sections with curves or stock races, road-kill frequencies were higher than expected. Greater cover and greenness of roadside vegetation at the verge probably attracted kangaroos to the road and variation in this vegetation affected the spatial distribution of road-kills. The temporal distribution of road-kills was positively correlated with the volume of night-time traffic. The probability of a kangaroo–vehicle collision increased exponentially with traffic volume. Results are discussed in relation to the potential for mitigation of kangaroo–vehicle collisions.

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.

scholarly journals A case study of butterfly road kills from Anaikatty Hills, Western Ghats, Tamil Nadu, India

2015 ◽  
Vol 7 (14) ◽  
pp. 8154 ◽  
Author(s):  
R. K. Sony ◽  
P. R. Arun
Keyword(s):  
Western Ghats ◽  
Tamil Nadu ◽  
Road Traffic ◽  
Mass Movement ◽  
High Rate ◽  
Road Mortality ◽  
Management Options ◽  
The Road ◽  
Background Population ◽  
The Impact

<p><strong> </strong>Anaikatty Hills of the Western Ghats in Tamil Nadu witness the annual spectacle of mass movement of lakhs of butterflies.  The present paper examines the impact of vehicular traffic on this ‘butterfly migration’ through a survey of butterfly mortality along a road stretch in Anaikatty Hills.  A high rate of mortality due to road traffic was observed during the mass movement of butterflies.  One-hundred-and-thirty-five butterfly road kills belonging to three families, nine genera and 12 species were recorded during the study.  The proportion of nymphalid butterflies among the road kills (70%) was very high compared to their respective share in the background population (39%), indicating a higher road mortality risk for nymphalids.  The conservation significance of the road traffic impact on butterfly assemblage and management options are discussed.</p><div> </div>

scholarly journals Expert knowledge assessment of threats and conservation strategies for breeding Hen Harrier and Short-eared Owl across Europe

2020 ◽  
pp. 1-18
Author(s):  
DARÍO FERNÁNDEZ-BELLON ◽  
JOHN LUSBY ◽  
JULES BOS ◽  
TONIO SCHAUB ◽  
ALAN MCCARTHY ◽  
...  
Keyword(s):  
Protected Areas ◽  
Habitat Management ◽  
Expert Knowledge ◽  
Prey Availability ◽  
Active Management ◽  
Conservation Strategy ◽  
Conservation Strategies ◽  
Conservation Threats ◽  
The Impact ◽  
Hen Harrier

Summary Hen Harrier Circus cyaneus and Short-eared Owl Asio flammeus are open-country birds of prey with overlapping distributions. Although both species face similar conservation threats across their ranges, work to date has largely been undertaken at a national scale with few attempts to collate and assess factors relevant to their conservation at an international scale. Here we use an expert knowledge approach to evaluate the impact of conservation threats and the effectiveness of conservation strategies for each species across Europe. We report results of responses to a questionnaire from 23 Hen Harrier experts from nine countries and 12 Short-eared Owl experts from six countries. The majority of responses for both species reported declines in breeding numbers. The perceived impact of threats was broadly similar for both species: ecological factors (predation, extreme weather and prey availability), changes in land use (habitat loss and agricultural intensification) and indirect persecution (accidental nest destruction) were considered to be the greatest threats to breeding Hen Harrier and Short-eared Owl. Short-eared Owl experts also highlighted lack of knowledge and difficulties associated with monitoring as a major conservation challenge. Despite broad-scale similarities, geographical variation was also apparent in the perceived importance of conservation threats, with some threats (such as direct persecution, large-scale afforestation or habitat degradation) requiring country-specific actions. Implementation of different conservation strategies also varied between countries, with the designation of protected areas reported as the most widespread conservation strategy adopted, followed by species and habitat management. However, protected areas (including species-specific protected areas) were perceived to be less effective than active management of species and habitats. These findings highlight the overlap between the conservation requirements of these two species, and the need for collaborative international research and conservation approaches that prioritise pro-active conservation strategies subject to continued assessment and with specific conservation goals.

scholarly journals Do Crash Barriers and Fences Have an Impact on Wildlife–Vehicle Collisions?—An Artificial Intelligence and GIS-Based Analysis

2019 ◽  
Vol 8 (2) ◽  
pp. 66 ◽  
Author(s):  
Raphaela Pagany ◽  
Wolfgang Dorner
Keyword(s):  
Artificial Intelligence ◽  
Individual Species ◽  
Road Mortality ◽  
Sample Number ◽  
Vehicle Collisions ◽  
Risk Warning ◽  
Alternative Measures ◽  
Road Inspection ◽  
The Impact ◽  
To Receive

Wildlife–vehicle collisions (WVCs) cause significant road mortality of wildlife and have led to the installation of protective measures along streets. Until now, it has been difficult to determine the impact of roadside infrastructure that might act as a barrier for animals. The main deficits are the lack of geodata for roadside infrastructure and georeferenced accidents recorded for a larger area. We analyzed 113 km of road network of the district Freyung-Grafenau, Germany, and 1571 WVCs, examining correlations between the appearance of WVCs, the presence or absence of roadside infrastructure, particularly crash barriers and fences, and the relevance of the blocking effect for individual species. To receive infrastructure data on a larger scale, we analyzed 5596 road inspection images with a neural network for barrier recognition and a GIS for a complete spatial inventory. This data was combined with the data of WVCs in GIS to evaluate the infrastructure’s impact on accidents. The results show that crash barriers have an effect on WVCs, as collisions are lower on roads with crash barriers. In particular, smaller animals have a lower collision share. The risk reduction at fenced sections could not be proven as fenced sections are only available at 3% of the analyzed roads. Thus, especially the fence dataset must be validated by a larger sample number. However, these preliminary results indicate that the combination of artificial intelligence and GIS may be used to analyze and better allocate protective barriers or to apply it in alternative measures, such as dynamic WVC risk-warning.

scholarly journals A pre­liminary report on the impact of road kills on the herpetofauna species in Nilgiris, Tamil Nadu, India

2017 ◽  
Vol 9 (3) ◽  
pp. 10004
Author(s):  
P. Santhoshkumar ◽  
P. Kannan ◽  
A. Veeramani ◽  
A. Samson ◽  
S. Karthick ◽  
...  
Keyword(s):  
Tamil Nadu ◽  
Amphibian Species ◽  
Snake Species ◽  
Road Kill ◽  
The Road ◽  
Reptile Species ◽  
The Impact

To know the situation of road hits of amphibians and reptile species, a survey was conducted during the period 02 June 2013 to 25 May 2014.  A total of 172 incidents of road kill of different species were noticed, representing 12 species of herpetofauna, including five amphibian species of the families Bufonidae, Dicroglossidae, Microhylidae and Rhacophoridae, and seven species of reptiles of the families Scincidae, Agamidae, Uropeltidae, Colubridae, Natricidae and Xenodermatidae.  Reptiles were the most affected group (60%), of which more than 79.61% of the road kills were snakes.  The most affected snake species were endemic Xylophis perroteti (64.63%). 

scholarly journals Non-Native Herbivores Promote Plant Invasions Away From Mountain Roads in the Andes

2021 ◽  
Author(s):  
Valeria Aschero ◽  
Agustina Barros ◽  
Lorena Bonjour ◽  
Ana Mazzolari ◽  
Martín Pérez Sosa ◽  
...  
Keyword(s):  
Protected Areas ◽  
Native Species ◽  
Plant Invasions ◽  
Natural Vegetation ◽  
Livestock Grazing ◽  
Native Plant ◽  
The Road ◽  
The Andes ◽  
The Impact

Abstract While the role of environmental filters, usually described by elevation as proxy, and anthropogenic disturbance as drivers of non-native plant diversity and abundance in mountains have been extensively studied, the impact of herbivores are less explored. Livestock grazing can facilitate the introduction of non-native species by seed dispersal and reduce biotic resistance due to consumption and trampling of native plants, even in the highest protected areas in the Andes. We here explored the effects of elevation, livestock and distance to the road on non-native and native plant distributions. Our results confirm the largely negative relationship of non-native plant richness and cover with elevation, with a peak in richness and cover at low to intermediate elevations. Similarly, we show a strong decline in non-native richness with increasing distance to the road, especially at low elevations, accompanied by a strong negative effect of roads on native species richness. Most importantly, however, we show that the presence of non-native herbivores greatly increases the cover of non-native species away from the roadside, identifying herbivore disturbance as a potential catalyst of non-native plant invasion into natural vegetation of high-Andean protected areas. Our results confirm the often-shown role of disturbance as driver of plant invasions in mountains, yet highlight the interactive effects of disturbance by roads and herbivory: roads funnel non-native species towards higher elevations, while non-native herbivores can promote non-native plant success away from the roadside and into the natural vegetation. Hence, regulating soil and non-native herbivory disturbance is important for minimizing plant invasions at high elevation in the Arid Andes.

scholarly journals Predicting spatial and seasonal patterns of wildlife-vehicle collisions in high-risk areas

2021 ◽  
Author(s):  
Hanh K.D. Nguyen ◽  
Jessie C. Buettel ◽  
Matthew W. Fielding ◽  
Barry W. Brook
Keyword(s):  
Road Ecology ◽  
Additive Model ◽  
Predictive Modelling ◽  
Encounter Rate ◽  
Road Mortality ◽  
Vehicle Collisions ◽  
Road Kill ◽  
Management Interventions ◽  
Forested Areas ◽  
High Level

AbstractContextVehicle collisions with wildlife can injure or kill animals, threaten human safety, and threaten the viability of rare species. This has led to a focus in road-ecology research on identifying the key predictors of ‘road-kill’ risk, with the goal of guiding management to mitigate its impact. However, because of the complex and context-dependent nature of the causes of risk exposure, modelling road-kill data in ways that yield consistent recommendations has proven challenging.AimHere we used a novel multi-model machine-learning approach to identify the spatio-temporal predictors, such as traffic volume, road shape, surrounding vegetation and distance to human settlements, associated with road-kill risk.MethodsWe collected data on the location, identity and size of each road mortality across four seasons along eight roads in southern Tasmania – a ‘road-kill hotspot’ of management concern. We focused on three large-bodied and frequently impacted crepuscular Australian marsupial herbivore species, the rufous-bellied pademelon (Thylogale billardierii), Bennett’s wallaby (Macropus rufogriseus) and the bare-nosed wombat (Vombatus ursinus). We fit the point-location data using ‘lasso-regularization’ of a logistic generalized linear model (LL-GLM) and out-of-bag optimization of a decision-tree-based ‘random forests’ (RF) algorithm.ResultsThe RF model, with high-level feature interactions, yielded superior results to the linear additive model, with a RF classification accuracy of 84.8% for the 871 road-kill observations and a true skill statistic of 0.708, compared to 61.2% and 0.205 for the LL-GLM.ConclusionsForested areas with no roadside barrier fence along curved sections of road posed the highest risk to animals. Seasonally, the frequency of wildlife-vehicle collisions increased notably for females during oestrus, when they were more dispersive and so had a higher encounter rate with roads.ImplicationsThese findings illustrate the value of using data-driven approaches to predictive modelling, as well as offering a guide to practical management interventions that can mitigate road-related hazards.

scholarly journals Road-kill of Mammals in Nova Scotia

2007 ◽  
Vol 121 (3) ◽  
pp. 265 ◽  
Author(s):  
David Fudge ◽  
Bill Freedman ◽  
Michael Crowell ◽  
Tony Nette ◽  
Vince Power
Keyword(s):  
Nova Scotia ◽  
Black Bear ◽  
Road Mortality ◽  
Wild Mammals ◽  
Urban Streets ◽  
Road Kill ◽  
The Road ◽  
Vehicle Density ◽  
Using Data ◽  
Wildlife Collisions

We examined road mortality of wild mammals in Nova Scotia using data from (a) five years of province-wide data on wildlife collisions involving larger mammals, and (b) 20 months of observations of smaller mammals along a 160-km route near Halifax. An average of 2079 White-tailed Deer was reported killed annually on highways during 1999 through 2003, along with 14 Moose and 33 Black Bear. Female White-tailed Deer were more likely to be road-killed than males (by a factor of 1.8), yearlings more so than older animals, and there were peaks of mortality in the late spring and late autumn. The road-kill of smaller mammals was highest in the summer and least in the winter, and the most frequent mortalities were of Raccoon (28% of observations), Porcupine (27%), Skunk (17%), Snowshoe Hare (6%), Coyote (4%), and Groundhog (3%). The standardized kill-rate (number/100 km) was highest on a 100-series highway compared to trunk highways or urban streets, but the rate standardized to vehicle density was highest on trunk highways.

Road upgrade, road mortality and remedial measures: impacts on a population of eastern quolls and Tasmanian devils

2000 ◽  
Vol 27 (3) ◽  
pp. 289 ◽  
Author(s):  
Menna E. Jones
Keyword(s):  
National Park ◽  
Ecological Study ◽  
Mountain Lake ◽  
Maximum Speed ◽  
Road Mortality ◽  
The Road ◽  
Access Road ◽  
The Impact ◽  
The Devil ◽  
Wildlife Collisions

The impact of road mortality on local populations of wildlife has rarely been quantified. In June 1991, the access road into the northern end of the Cradle Mountain – Lake St Clair National Park in Tasmania was widened and sealed. This occurred part-way through an ecological study of the dasyurid carnivore guild, during which populations were being monitored. In 17 months, the resident population of 19 eastern quolls became extinct and the devil population, of 39 individuals, halved. Concurrently, there was a dramatic increase in the number of road-kills. The main causal factor was probably an increase in modal speed of about 20 km h–1 and a greater increase in maximum speed. Measures were implemented to reduce the incidence of vehicle/wildlife collisions. Measures directed at people included physically slowing traffic speed (using ‘slow points’) and increasing driver awareness (signs and pamphlets). Those directed at wildlife included deterring wildlife from crossing the road in the path of approaching vehicles (wildlife reflectors), and encouraging escape off the road (ramps across gutters and banks, and pipes for shelter). The ‘slow points’ were effective in reducing vehicle speeds by 20 km h–1. Wildlife used the ramps and pipes. The eastern quoll population was re-establishing within six months, and after two years, had recovered to 50% of its former level. There was some indication that devil populations were recovering.

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