Research Article |
Corresponding author: Somoyita Sur ( somoyita.sur@gmail.com ) Academic editor: Clara Grilo
© 2022 Somoyita Sur, Prasanta Kumar Saikia, Malabika Kakati Saikia.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Sur S, Saikia PK, Saikia MK (2022) Speed thrills but kills: A case study on seasonal variation in roadkill mortality on National highway 715 (new) in Kaziranga-Karbi Anglong Landscape, Assam, India. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 87-104. https://doi.org/10.3897/natureconservation.47.73036
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Animal-vehicle collision on the roads is a major cause of mortality of a wide range of animal taxa both within and around protected areas. This study has been conducted in the National Highway 715 (new) covering a continuous stretch of 64 km that passes through Kaziranga National Park (KNP) of Assam (India). The area falls between the boundary of KNP on its north and North Karbi Anglong Wildlife sanctuary on the south. The survey concentrated on the mortality study of four groups of vertebrates viz., amphibians, reptiles, birds, and mammals resulting from collisions with vehicles from October 2016 through September, 2017. A total of 6036 individual roadkills were registered, belonging to 53 species, 23 other taxa and 30 families of vertebrates, with herpetofauna being the most affected group followed by birds and mammals. The study evaluated seasonal variation in the overall roadkill pattern with highest mortality in the monsoon season 38.27% (n = 2310) and with peak casualties starting with the onset of rainfall (February and March) and during monsoons (July and August). The amphibian mortality was also found to be highest during the monsoon with 43.28% (n = 1575) of kills, as compared to the other three groups. NH-715 (new), therefore serves as a challenging passage for the animals, forming a major barrier for the faunal component of the Kaziranga-Karbi Anglong landscape. This study thus tried to reflect the often overlooked issue of roads and highways in terms of direct mortality of animals due to traffic and thereby can be helpful in understanding the seriousness of the situation and identifying prospective measures to be taken for sustainable coexistence of both animals and human.
Herpetofauna, Kaziranga National Park, mortality, National Highway, road ecology, vehicular collision
India has the second largest road system in the world according to the National Highway Authority of India (NHAI) covering over 5.89 million kilometres with all signs pointing to an explosion of expansion in the upcoming years (
Roadways are obviously integral to commuting and transportation, but are certainly known to pose some detrimental effects on the flora and fauna surrounding them (
Among the various threats posed to wildlife, collisions with vehicles are becoming a major concern for many species (
Factors like roadkill rates, traffic traits and landscape attributes are effective in determining the spatial location of roadkills (
Our goal in this study was to evaluate the magnitude of mortality due to collisions with vehicles, of vertebrate fauna, specifically amphibians, reptiles, birds, and mammals in the highway stretch that passes through Kaziranga-Karbi Angling landscape complex in North-Eastern India, from October 2016 to September 2017. We also tried to evaluate the seasonal variation and pattern of roadkill distribution among the vertebrate groups in the study area. Similar studies have been carried out in India, but no detailed study for this high diversity hotspot is known yet (
The entire study area landscape includes the Kaziranga National Park (KNP, Latitude 26°30'N to 26°50'N and Longitude 92°05'E to 93°41'E), North Karbi Anglong Wildlife Sanctuary, East Karbi Anglong Wildlife Sanctuary (central coordinates: 26°28'0"N, 93°21'29"E), river Brahmaputra and the National Highway (NH) 715 (new) positioned in between KNP and North Karbi Anglong Wildlife Sanctuary, all covering the districts of Golaghat, Nagaon, Sonitpur, and Karbi Anglong.
The studied road site is a continuous 64 km stretch of this NH 715 (new), (Latitude: 26°34'–26°46'N, Longitude: 93°08'–93°36'E) which forms the southern boundary of KNP, connecting Bokakhat to Ghorakati and bisecting the landscape into north and south (Figure
This paved stretch of highway is 7.5 m wide and crosses a wide array of habitats, including tea gardens, human settlements, agricultural fields, grassland, teak plantations, bamboo plantations, wetlands, open fields, swamps and marshy areas and forest covers at Panbari, Haldibari, Kanchanjuri, and Gorakati areas. The animal movement pattern along the highway can be summarised into two seasonal frames, one during the flooding period (April to September) which includes Pre-monsoon and monsoon season (
We conducted 144 systematic road trips from October 2016 to September 2017, for the entire stretch of the highway (64 kms), starting from Bokakhat to Ghorakati and then returning back to the same start point, accounting for approximately 128 kms for every instance. Data collection was carried out by two observers beginning at 07:00 h during winter and at 05:00 h in summer, depending upon visibility, using a motor vehicle at a steady speed of 25–35 kmph, for three days every week. Survey effort was kept constant throughout the year. This intensive sampling design was incorporated to enhance the detection of smaller carcasses, which could rapidly dissipate due to degradation or scavenging (
Each encountered carcass was identified to the species level, whenever possible, otherwise to genus or family level. Also, the number of individual carcasses and their status were recorded along with geo-location using a Garmin eTrex 10 GPS. The carcass status was defined as Fresh (carcass found in fresh condition or live killed) or Old (dry carcasses or few remains). All the carcasses were grouped by class as mammal, bird, reptile, and amphibian. The animal carcasses encountered were photographed for identification and were removed from the road to avoid double counting. At certain surveys the amphibian carcasses were so locally abundant that individual counting was not possible. In those situations, an abundance estimate was made at each 10 m-road section. The carcasses were identified using field guides for respective taxa (
Animals, specifically reptiles, crossing the road or basking on the road were assisted towards the direction in which they were moving.
We used non-parametric Kruskal-Wallis ANOVA and Mann-Whitney U tests to examine the differences in mean number of roadkill by taxonomic group, month, season, and carcass status. Periods of roadkill occurrences were classified as non-flooding and flooding period. Seasons were defined as winter (December – February), pre-monsoon (March – May), monsoon (June – August) and retreating monsoon (September – November). All the analyses were performed for the total number of roadkills, excluding the unidentified carcasses. All statistical analyses were done using R (
We registered altogether 6036 individual roadkills belonging to 53 species (30 families) of four different vertebrate classes during the study period. A total of 121 roadkills (1.92%) remained unidentified because of their bad condition (Table
List of roadkills recorded in different seasons, at NH-715 (new) from October 2016 to September 2017. PM: Pre-monsoon; M: Monsoon; RM: Retreating monsoon; W: Winter; T: Total number of individuals.
Order | Family | Common name | Scientific name | Roadkill animals | ||||
---|---|---|---|---|---|---|---|---|
PM | M | RM | W | T | ||||
Amphibians | ||||||||
Anura | Bufonidae | Common Indian Toad | Duttaphrynus melanostictus | 426 | 849 | 50 | 668 | 1993 |
Anura | Dicroglossidae | Indian Bullfrog | Hoplobatrachus Tigerinus | 60 | 41 | 0 | 31 | 132 |
Anura | Dicroglossidae | Fejervarya Spp. | Fejervarya Spp. | 189 | 285 | 6 | 59 | 539 |
Anura | Uncategorised | Toad Spp. | – | 156 | 272 | 32 | 206 | 666 |
Anura | Uncategorised | Frog Spp. | – | 30 | 22 | 8 | 24 | 84 |
Unidentified | Unidentified | Unidentified | – | 63 | 106 | 5 | 51 | 225 |
Reptiles | ||||||||
Squamata | Typhlopidae | Diard’s Worm snake | Argyrophis diardii | 1 | 5 | 0 | 0 | 6 |
Squamata | Typhlopidae | Brahminy Worm Snake | Rhanphotyphlops brahminus | 2 | 6 | 0 | 0 | 8 |
Squamata | Colubridae | Striped Keelback | Amphiesma stolatum | 33 | 65 | 27 | 17 | 142 |
Squamata | Colubridae | Red-necked Keelback | Rhabdophis subminiatus | 15 | 13 | 26 | 16 | 70 |
Squamata | Colubridae | Checkered Keelback | Xenochrophis piscator | 28 | 29 | 25 | 19 | 101 |
Squamata | Colubridae | Common Trinket Snake | Coelognathus helena Helena | 7 | 11 | 0 | 4 | 22 |
Squamata | Colubridae | Copper-headed Trinket snake | Coelognathus radiatus | 7 | 8 | 12 | 6 | 33 |
Squamata | Colubridae | Trinket Snake | Coelognathus Spp. | 3 | 4 | 1 | 0 | 8 |
Squamata | Colubridae | Cat Snake | Boiga Spp. | 17 | 18 | 5 | 11 | 51 |
Squamata | Colubridae | Eastern Cat Snake | Boiga gokool | 5 | 9 | 0 | 0 | 14 |
Squamata | Colubridae | Large-spotted Cat Snake | Boiga multomaculata | 2 | 3 | 0 | 1 | 6 |
Squamata | Colubridae | Eyed Cat Snake | Boiga siamensis | 1 | 6 | 2 | 6 | 15 |
Squamata | Colubridae | Indian Rat Snake | Ptyas mucosa | 5 | 8 | 15 | 9 | 37 |
Squamata | Colubridae | Indo-Chinese Rat Snake | Ptyas korros | 0 | 2 | 0 | 1 | 3 |
Squamata | Colubridae | Ornat Flying Snake | Chrysopelea ornate | 13 | 6 | 8 | 6 | 33 |
Squamata | Colubridae | Painted Bronzeback Tree Snake | Dendrelaphis pictus | 25 | 20 | 21 | 14 | 80 |
Squamata | Colubridae | Bronzeback Tree Snake | Dendrelaphis Spp. | 7 | 10 | 18 | 16 | 51 |
Squamata | Colubridae | Indian Wolf Snake | Lycodon aulicus | 19 | 18 | 7 | 5 | 49 |
Squamata | Colubridae | Yellow-speckled Wolf Snake | Lycodon jara | 0 | 6 | 0 | 0 | 6 |
Squamata | Colubridae | Zaw’s Wolf Snake | Lycodon zawi | 5 | 3 | 0 | 1 | 9 |
Squamata | Elapidae | Black Krait | Bungarus niger | 1 | 2 | 0 | 1 | 4 |
Squamata | Elapidae | Banded Krait | Bungarus fasciatus | 4 | 8 | 4 | 1 | 17 |
Squamata | Elapidae | King Cobra | Ophiophagus hannah | 0 | 0 | 0 | 1 | 1 |
Squamata | Elapidae | Krait Spp. | Bungarus Spp. | 1 | 1 | 1 | 2 | 5 |
Squamata | Viperidae | Pit Viper | Trimeresurus Spp. | 2 | 7 | 0 | 0 | 9 |
Squamata | Homalopsidae | Common Smooth-scaled Water Snake | Enhydris enhydris | 2 | 7 | 3 | 3 | 15 |
Squamata | Pythonidae | Burmese Python | Python molurus bivittatus | 9 | 0 | 0 | 0 | 9 |
Squamata | Pythonidae | Python Spp. | – | 0 | 1 | 0 | 0 | 1 |
Squamata | Uncategorised | Snake Spp. | – | 36 | 68 | 64 | 53 | 221 |
Squamata | Geckoninae | Tokay Gecko | Gekko gecko | 7 | 3 | 0 | 2 | 12 |
Squamata | Geckoninae | Bent-toed Gecko | Crytodactylus Spp. | 0 | 1 | 1 | 2 | 4 |
Squamata | Geckoninae | Lizard Spp. | Gekko Spp. | 0 | 2 | 0 | 0 | 2 |
Squamata | Agamidae | Oriental Garden Lizard | Calotes versicolor | 61 | 39 | 47 | 66 | 213 |
Squamata | Uncategorised | Lizard Spp. | Calotes Spp. | 0 | 2 | 9 | 7 | 18 |
Squamata | Uncategorised | Lizard Spp. | Unidentified | 0 | 1 | 5 | 5 | 11 |
Birds | ||||||||
Passeriformes | Sturnidae | Common Myna | Acridotheres tristis | 29 | 54 | 32 | 27 | 142 |
Passeriformes | Sturnidae | Asian Pied Starling | Gracupica contra | 11 | 12 | 8 | 8 | 39 |
Passeriformes | Sturnidae | Chestnut Tailed Starling | Sturnia malabarica | 3 | 1 | 1 | 2 | 7 |
Passeriformes | Sturnidae | Jungle Myna | Acridotheres fuscus | 18 | 20 | 8 | 10 | 56 |
Passeriformes | Sturnidae | Common myna/Jungle Myna | Acridotheres tristis/ Acridotheres fuscus | 5 | 8 | 7 | 9 | 29 |
Passeriformes | Cisticolidae | Common Tailorbird | Orthotomus sutorius | 2 | 2 | 0 | 2 | 6 |
Passeriformes | Passeridae | Eurasian Tree Sparrow | Passer montanus | 6 | 2 | 1 | 1 | 10 |
Passeriformes | Passeridae | House Sparrow | Passer domesticus | 11 | 5 | 6 | 10 | 32 |
Passeriformes | Passeridae | Sparrow Spp. | Passer Spp. | 0 | 3 | 0 | 1 | 4 |
Passeriformes | Pycnonotidae | Red-vented Bulbul | Pycnonotus cafer | 40 | 32 | 9 | 16 | 97 |
Passeriformes | Estrildidae | Scaly-breasted Munia | Lonchura punctulata | 2 | 1 | 0 | 0 | 3 |
Passeriformes | Corvidae | House Crow | Corvus splendens | 4 | 4 | 5 | 3 | 16 |
Passeriformes | Aegithinidae | Common Iora | Aegithina tiphia | 3 | 3 | 0 | 0 | 6 |
Passeriformes | Muscicapidae | Oriental Magpie Robin | Copsychus Saularis | 1 | 1 | 1 | 1 | 4 |
Passeriformes | Locustellidae | Striated Grassbird | Megalurus palustris | 0 | 0 | 0 | 1 | 1 |
Falconiformes | Falconidae | Common Kestrel | Falco tinnunculus | 0 | 0 | 1 | 0 | 1 |
Strigiformes | Strigidae | Asian Barred Owlet | Glaucidium cuculoides | 3 | 7 | 0 | 3 | 13 |
Strigiformes | Strigidae | Spotted Owlet | Athene brama | 2 | 5 | 3 | 0 | 10 |
Coraciiformes | Coraciidae | Indian Roller | Coracius benghalensis | 2 | 4 | 0 | 0 | 6 |
Psittaciformes | Psittaculidae | Red-breasted Parakeet | Psitacula alexandri | 1 | 1 | 0 | 0 | 2 |
Psittaciformes | Psittaculidae | Parakeet | Psittacula Spp. | 0 | 1 | 0 | 0 | 1 |
Gruiformes | Rallidae | White-breasted Waterhen | Amourornis phoenicurus | 10 | 10 | 2 | 7 | 29 |
Columbiformes | Columbidae | Yellow-footed Green Pegion | Treron phoenicoptera | 1 | 3 | 0 | 0 | 4 |
Columbiformes | Columbidae | Spotted Dove | Stigmatopelia chinensis | 9 | 7 | 4 | 6 | 26 |
Columbiformes | Columbidae | Ferral Pegion | Columbia livia (ferral) | 7 | 7 | 4 | 5 | 23 |
Uncategorised | Uncategorised | Raptor Spp. | – | 4 | 15 | 1 | 6 | 24 |
Uncategorised | Uncategorised | Owlet Spp. | – | 0 | 1 | 1 | 1 | 3 |
Mammals | ||||||||
Chiroptera | – | Bat Spp. | – | 10 | 17 | 9 | 10 | 46 |
Rodentia | Sciuridae | Hoary-bellied Squirrel | Callosciurus pygerythrus | 2 | 1 | 1 | 0 | 4 |
Rodentia | Sciuridae | Squirrel Spp. | – | 3 | 3 | 1 | 2 | 9 |
Rodentia | Muridae | House Mouse | Mus musculus | 8 | 13 | 13 | 10 | 44 |
Rodentia | Muridae | Large Bandicoot Rat | Bandicoota indica | 10 | 12 | 10 | 6 | 38 |
Rodentia | – | Rat Spp. | – | 53 | 64 | 80 | 96 | 293 |
Eulipotyphla | – | Shrew Spp. | – | 8 | 9 | 7 | 6 | 30 |
Eulipotyphla | – | Mole Spp. | – | 19 | 13 | 6 | 8 | 46 |
Primates | Cercopithecidae | Rhesus Macaque | Macaca mulata | 0 | 0 | 1 | 0 | 1 |
Primates | Cercopithecidae | Macaque Spp. | – | 0 | 1 | 0 | 1 | 2 |
Carnivora | Felidae | Indian Leopard | Panthera pardus fusca | 0 | 0 | 0 | 1 | 1 |
Carnivora | Viverridae | Small Indian Civet | Viverricula indica | 0 | 2 | 1 | 1 | 4 |
Carnivora | Viverridae | Civet Spp. | – | 0 | 0 | 0 | 1 | 1 |
Uncategorised | Uncategorised | Unidentified | Unidentified | 10 | 47 | 33 | 31 | 121 |
There were significant differences in the total roadkill numbers by taxonomic groups (χ2 = 1103.00, P < 0.01, df = 3) and multiple comparisons revealed significant differences between amphibians and the other three groups (P < 0.01; Table
Mann-Whitney U Test for total number of roadkills in different seasons and taxonomic group. Win: Winter; PrM: Pre-monsoon; Mon: Monsoon; ReM: Retreating monsoon; Amp: Amphibia; Bir: Birds; Rep: Reptile; Mam: Mammal.
Season | χ2 | Z |
---|---|---|
112.30 | ||
Win – PrM | – | 3.62** |
Win – Mon | – | 3.50** |
Win – ReM | – | 10.82** |
PrM – Mon | – | 0.13 |
PrM – ReM | – | 8.32** |
Mon – ReM | – | 8.35** |
Taxonomic group | χ2 | Z |
1103.00 | ||
Amp – Mam | – | 16.37** |
Amp – Bir | – | 19.24** |
Amp – Rep | – | 25.90** |
Rep – Bir | – | 2.65** |
Rep – Mam | – | 4.93** |
Bir – Mam | – | 1.98* |
‘ ** ’ Significant (P < 0.01); ‘ * ’ Significant (P < 0.05); ‘ ’ Not Significant |
Herpetofauna were found to be the most affected group with amphibia being the most affected taxa. The Common Indian toad Duttaphrynus melanostictus was found to be highest 54.77%, (n = 1993) among two species and three other taxa of amphibians. Similarly, mortality for Oriental Garden Lizard Calotes versicolor was 16.63% (n = 213), followed by Buff Striped Keelback Amphiesma stolatum 11.09% (n = 142) and Checkered Keelback Xenochrophis piscator and 7.88% (n = 101) respectively among 23 species and nine other taxa of reptiles. Among birds, highest mortality was found in Common Myna Acridotheres tristis 23.83% (n = 142) among 22 species and four other taxa of birds, and rat spp. (56.34%, n = 293) among six species and seven other taxa of mammals, were dominant road-kills (Table
Among all the road-killed animals found, 96.7% (n = 503) were nocturnal mammals, with species like Panthera pardus, Vivvericula indica, various unidentified bat, rat mole and shrew species, followed by 14.98% (n = 192) of nocturnal reptiles, belonging to genera Gekko, Boiga, Lycodon, Bungurus, and Trimeresurus and 4.36% (n = 26) of nocturnal avian species represented by Athene brama, Glaucidium cuculoides were recorded.
Altogether 63.60% (n = 3839) of roadkills occurred during the flooding period: April to September (Pre-monsoon and Monsoon) and 36.40% (n = 2197) of kills occurred in the non-flooding period: October to March (retreating monsoon and winter), with significant differences among them (Kruskal-Wallis, χ2 = 8.56, P < 0.01, df = 1). Thus, we recorded that animal mortality in flooding period was high when compared to mortality in non-flooding period.
This study shows higher mortality in a different season of the year, with maximum kills of 38.37% (n = 2413) in the monsoon season, followed by 25.84% (n = 1625) in winter, 24.84% (n = 1562) in pre-monsoon and 10.94% (n = 688) in retreating monsoon. Thus, the total number of roadkills in each season significantly differs from each other (Kruskal-Wallis test, χ2 = 111.54, P < 0.01, df = 3; Table
The distribution of roadkill records throughout the year was not homogenous, with the highest rates in February, March, July, and August (Table
Monthly summary of mortality with percentage kill, mean and standard deviation.
Month | N | Percentage kill (%) | Mean | Standard Deviation |
---|---|---|---|---|
January | 217 | 3.6 | 1.1 | 0.41 |
February | 771 | 12.77 | 1.9 | 6.99 |
March | 584 | 9.68 | 1.61 | 1.57 |
April | 515 | 8.53 | 1.59 | 1.6 |
May | 556 | 9.21 | 1.43 | 1.27 |
June | 458 | 7.59 | 1.22 | 0.86 |
July | 1265 | 20.96 | 2.7 | 18.21 |
August | 649 | 10.75 | 1.75 | 2.58 |
September | 396 | 6.56 | 1.41 | 1.32 |
October | 236 | 3.91 | 1.08 | 0.34 |
November | 191 | 3.16 | 1.03 | 0.18 |
December | 198 | 3.28 | 1.03 | 0.16 |
The higher incidence of roadkill mortality in the study area is evidence of heavy loss of vertebrate wildlife species in the National highway passing through an important protected area, i.e. KNP of Assam. Similar types of study conducted across the globe also reached comparable findings (
The present study accounts for the highest number of amphibian roadkills, (60.29%) and thus concurs with the view of
There are plenty of reptile roadkill studies from other parts of the country (
Birds are attracted to roads as a location of resource availability, notably food. (
This study recorded the mortality of an endangered carnivore, one Indian Leopard Panthera pardus and three Small Indian Civet Viverricula indica. These figures seem to be very small compared to other taxa, but such loss is intolerable considering their low population density. Several similar studies across India have reported a high roadkill of large cats (
Also, a substantial majority of the animal carcasses, 1.92% (n = 121) remained unidentified and categorised as “uncategorised”, since they could only be identified up to order, due to their extreme decomposed state. This, in turn, opens up the scope for further detailed studies regarding more precise identification of roadkills.
In conclusion, it could be said that mortality due to collisions with vehicles has been identified as a major conservation issue, but one that is very challenging to address. Ecologists have been trying to diarize the estimation of road-kills for a long time (
Linear infrastructures are an integral part of our daily system and are a major root of developmental activities. But development must always run in parallel with our naturally functioning ecosystem, since our sustenance depends upon the sustenance of nature. Hence, we need not put a stop to development but rather incorporate proper and eco-friendly designs and innovations in tandem with it, in order to reduce vehicular collisions in intrusions within any protected area. It is thereby, important to quantify the magnitude and the effect of vehicular traffic on faunal groups, which would help conserve them, as various infrastructure projects, including roads and highways, are being planned to cater to the country’s growing needs.
We extend our sincere thanks to the Department of Zoology, Gauhati University, Guwahati, for their help and support. We also acknowledge the Forest Department Kaziranga National Park and PCCF Wildlife & CWLW Assam (WL/FG.31/Pt/2017) for granting us permission to carry out our work. We thank all our field assistants and resource persons, without whose help this work would not have been completed.
Figures S1–S5
Data type: zip archive
Explanation note: Road-killed Amphibians, snakes, lizards, birds, mammals.