說明
This dataset is part of the largest worldwide compilation of roadkill data on terrestrial vertebrates, comprising 208,570 roadkill records, with 2283 species and subspecies from 54 countries across six continents. It provides detailed records of roadkill locations from surveys conducted globally, supporting scientific research, guiding policymaking, and aiming to mitigate the ecological and socioeconomic impacts of wildlife-vehicle collisions. By enabling broader analyses, it offers researchers and stakeholders worldwide access to critical data, fostering the development of wildlife-friendly transport infrastructure.
This section contains records with associated survey data, and includes 1643 species from 31 countries, ranging from 1996 to 2024.
資料紀錄
此資源sampling event的資料已發佈為達爾文核心集檔案（DwC-A），其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 75,158 筆紀錄。
亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。
Event (核心)
Occurrence
此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本，以便利追蹤其隨時間的變更。
版本
以下的表格只顯示可公開存取資源的已發布版本。
如何引用
研究者應依照以下指示引用此資源。:
Grilo, C., Neves, T., Bates, J. et al. Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles. Sci Data 12, 505 (2025).
權利
研究者應尊重以下權利聲明。:
此資料的發布者及權利單位為 CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.
GBIF 註冊
此資源已向GBIF註冊，並指定以下之GBIF UUID: d3b6cb30-0a64-4f82-91ea-0bb14637ee17。 CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal 發佈此資源，並經由GBIF Portugal同意向GBIF註冊成為資料發佈者。
關鍵字
Occurrence samplingEvent; Observation
聯絡資訊
Clara Grilo
Tomé Neves
J. Bates
- 出處
A. le Roux
- 出處
P. Medrano-Vizcaíno
- 出處
M. Quaranta
- 出處
I. Silva
- 出處
K. Soanes
- 出處
Y. Wang
- 出處
S.D. Abate
- 出處
F.D. Abra
- 出處
S. Aldaz-Cedeño
- 出處
P.R. Alencar
- 出處
M.F.P Almeida
- 出處
M.H. Alves
- 出處
P. Alves
- 出處
A. Ambrozio-Assis
- 出處
R. Ament
- 出處
R. Andrášik
- 出處
E. Araguillin
- 出處
D.R Araújo
- 出處
A. Araujo-Quintero
- 出處
J. Arca-Rubio
- 出處
M. Arianejad
- 出處
C. Armas
- 出處
E. Arnold
- 出處
F. Ascensão
- 出處
B. Azhar
- 出處
S.-Y. Baek
- 出處
H. Bajpai
- 出處
D. Bakaloudis
- 出處
A.C.F. Balbino- Silva
- 出處
A. Balestrieri
- 出處
R. Balestrieri
- 出處
U. Bansal
- 出處
C. Barbraud
- 出處
A. Barg
- 出處
R. Barrientos
- 出處
P.C. Barth
- 出處
T. Bartonička
- 出處
M. Basile
- 出處
M.L. Bastianelli
- 出處
G. Batista
- 出處
J. Baxter-Gilbert
- 出處
J. Beduschi
- 出處
S. Behera
- 出處
K. Bélanger-Smith
- 出處
M. Belkacem
- 出處
Y. Benedetti
- 出處
G. Benitez-Badillo
- 出處
J. Betlhoff
- 出處
A.J. Beulahbah
- 出處
A.M.R. Bezerra
- 出處
M. Bíl
- 出處
D. Blamires
- 出處
J.A. Bogoni
- 出處
V. Bontzorlos
- 出處
A. Borzee
- 出處
T.J. Boves
- 出處
A.A.A. Bovo
- 出處
S.P. Boyle
- 出處
C. Bueno
- 出處
J.K. Bukombe
- 出處
U. Bülbül
- 出處
M.E. Cabrera-García
- 出處
P. Cacciali
- 出處
C. Camacho
- 出處
A Campos
- 出處
J. Campos
- 出處
D. Canal
- 出處
L. Canova
- 出處
P. Canul Chuc
- 出處
A. Caravaggi
- 出處
B.E. Carlson
- 出處
G. Carmona
- 出處
J. Cartes
- 出處
F. Carvalho
- 出處
V. Castelazo-Calva
- 出處
H. Castillo
- 出處
K. Ceron
- 出處
R. Cervantes-Huerta
- 出處
J. Červinka
- 出處
D. Chala
- 出處
N. D. Charney
- 出處
M.W.H. Chatfield
- 出處
J.J. Cherem
- 出處
B. Chruszcz
- 出處
K. Çiçek
- 出處
V. Cícha
- 出處
A-Ș. Cicort-Lucaciu
- 出處
A.P. Clevenger
- 出處
V.J Colino-Rabanal
- 出處
W. Collinson
- 出處
P. Colombo
- 出處
A. Costa
- 出處
G.C. Costa
- 出處
J.R.N Costa
- 出處
A.L. Costa-Silva
- 出處
S.-D. Covaciu-Marcov
- 出處
M.V. Cove
- 出處
K. A. Crandall
- 出處
M. Crane
- 出處
L.B. Crivellari
- 出處
A.S. Cunha
- 出處
H.F Cunha
- 出處
M.E. Cunha
- 出處
D. Cupșa
- 出處
M. D'Amico
- 出處
J. Das
- 出處
K.M.P.M de Barros
- 出處
L. de los Reyes Lara
- 出處
J.D. Delgado
- 出處
S. Desai
- 出處
A.J.L Desbiez
- 出處
A. Desrochers
- 出處
R.I. Dias
- 出處
T.C. Dias
- 出處
P. Duengkae
- 出處
M. Duľa
- 出處
J. Durán-Antonio
- 出處
地理涵蓋範圍
This dataset contains information from 31 countries from 5 continents: Argentina Bangladesh Brazil Canada China Colombia Czechia Ecuador France India Ireland Italy Japan Mexico Netherlands Norway Pakistan Panama Paraguay Poland Portugal Romania Serbia South Africa Spain Sri Lanka Tanzania Thailand Turkey United States Venezuela
| 界定座標範圍 | 緯度南界 經度西界 [-90, -180], 緯度北界 經度東界 [90, 180] |
|---|
分類群涵蓋範圍
無相關描述
| Kingdom | Animalia |
|---|---|
| Phylum | Chordata |
| Class | Amphibia, Aves, Mammalia, Reptilia |
| Order | Accipitriformes, Anseriformes, Anura, Apodiformes, Artiodactyla, Bucerotiformes, Caprimulgiformes, Cariamiformes, Carnivora, Caudata, Charadriiformes, Chiroptera, Ciconiiformes, Cingulata, Columbiformes, Coraciiformes, Crocodylia, Cuculiformes, Didelphimorphia, Erinaceomorpha, Eurypygiformes, Falconiformes, Galliformes, Gruiformes, Gymnophiona, Hyracoidea, Lagomorpha, Nyctibiiformes, Otidiformes, Passeriformes, Pelecaniformes, Perissodactyla, Phaethontiformes, Pholidota, Piciformes, Pilosa, Podicipediformes, Primates, Procellariiformes, Psittaciformes, Pteroclidiformes, Rheiformes, Rodentia, Scandentia, Soricomorpha, Squamata, Strigiformes, Suliformes, Testudines, Tinamiformes, Trogoniformes |
| Family | Accipitridae, Acrocephalidae, Aegithalidae, Agamidae, Alaudidae, Alcedinidae, Alligatoridae, Alopoglossidae, Alytidae, Ambystomatidae, Amphisbaenidae, Anatidae, Anguidae, Anhingidae, Aniliidae, Aotidae, Apodidae, Aramidae, Ardeidae, Atelidae, Blanidae, Boidae, Bombinatoridae, Bombycillidae, Bovidae, Brachycephalidae, Bradypodidae, Bucconidae, Bufonidae, Burhinidae, Caeciliidae, Callitrichidae, Canidae, Capitonidae, Caprimulgidae, Cardinalidae, Cariamidae, Castoridae, Cathartidae, Caviidae, Cebidae, Centrolenidae, Ceratophryidae, Cercopithecidae, Cervidae, Cettiidae, Chamaeleonidae, Charadriidae, Chelidae, Chelydridae, Chinchillidae, Ciconiidae, Cisticolidae, Colubridae, Columbidae, Conopophagidae, Coraciidae, Corvidae, Corytophanidae, Cotingidae, Cracidae, Craugastoridae, Cricetidae, Crocodylidae, Cuculidae, Cuniculidae, Cyclopedidae, Cylindrophiidae, Dactyloidae, Dasypodidae, Dasyproctidae, Dicroglossidae, Dicruridae, Didelphidae, Diploglossidae, Dipodidae, Donacobiidae, Echimyidae, Elapidae, Emballonuridae, Emberizidae, Emydidae, Equidae, Erethizontidae, Erinaceidae, Estrildidae, Eublepharidae, Eurypygidae, Falconidae, Felidae, Fringillidae, Furnariidae, Galbulidae, Gekkonidae, Geoemydidae, Geomyidae, Gliridae, Gymnophthalmidae, Haematopodidae, Herpestidae, Heteromyidae, Hipposideridae, Hirundinidae, Homalopsidae, Hoplocercidae, Hyaenidae, Hydrobatidae, Hylidae, Hystricidae, Ichthyophiidae, Icteridae, Iguanidae, Irenidae, Jacanidae, Kinosternidae, Lacertidae, Laniidae, Laridae, Leiothrichidae, Leporidae, Leptodactylidae, Lorisidae, Malaconotidae, Manidae, Megalaimidae, Megalonychidae, Melanopareiidae, Mephitidae, Meropidae, Microhylidae, Mimidae, Miniopteridae, Molossidae, Momotidae, Monarchidae, Mormoopidae, Motacillidae, Muridae, Muscicapidae, Mustelidae, Myocastoridae, Myrmecophagidae, Nectariniidae, Noctilionidae, Numididae, Nyctibiidae, Odontophoridae, Odontophrynidae, Oriolidae, Otididae, Pareidae, Paridae, Parulidae, Passerellidae, Passeridae, Pelobatidae, Pelodytidae, Phaethontidae, Phalacrocoracidae, Phasianidae, Phrynosomatidae, Phyllodactylidae, Phyllomedusidae, Phylloscopidae, Phyllostomidae, Picidae, Pipidae, Pipridae, Pittidae, Ploceidae, Podicipedidae, Podocnemididae, Polioptilidae, Polychrotidae, Procaviidae, Procellariidae, Procyonidae, Prunellidae, Psammophiidae, Pseudaspididae, Psittacidae, Psophiidae, Pteroclididae, Pteropodidae, Pycnonotidae, Pythonidae, Rallidae, Ramphastidae, Ranidae, Recurvirostridae, Regulidae, Rhacophoridae, Rheidae, Rhinolophidae, Sagittariidae, Salamandridae, Scaphiopodidae, Scincidae, Sciuridae, Scolopacidae, Siphonopidae, Soricidae, Spalacidae, Strigidae, Sturnidae, Suidae, Sylviidae, Talpidae, Tapiridae, Tayassuidae, Teiidae, Testudinidae, Thamnophilidae, Thraupidae, Threskiornithidae, Thyropteridae, Tinamidae, Tragulidae, Trionychidae, Trochilidae, Troglodytidae, Trogonidae, Tropiduridae, Tupaiidae, Turdidae, Turnicidae, Typhlopidae, Tyrannidae, Tytonidae, Upupidae, Uropeltidae, Varanidae, Vespertilionidae, Viperidae, Vireonidae, Viverridae, Xenopeltidae |
| Genus | Ablepharus, Acanthis, Acanthodactylus, Accipiter, Acridotheres, Aegialomys, Aegithalos, Aeorestes, Agamia, Agelaioides, Agelaius, Ahaetulla, Alauda, Alcedo, Alces, Alectoris, Allactaga, Alopoglossus, Alouatta, Alytes, Amaurornis, Amazona, Amblyramphus, Ambystoma, Ameiva, Ammodramus, Amphiesma, Amphisbaena, Anas, Anastomus, Anaxyrus, Anguis, Anhinga, Anilius, Anolis, Anoura, Anthus, Antrostomus, Aotus, Aphelocoma, Apodemus, Apostolepis, Apus, Ara, Arachnothera, Aramides, Aramus, Aratinga, Arctonyx, Ardea, Argyrophis, Artibeus, Asio, Aspidura, Atelerix, Athene, Atlapetes, Atractus, Axis, Bachia, Bandicota, Barbastella, Barisia, Basileuterus, Basiliscus, Bassariscus, Bitis, Blanus, Blastocerus, Boa, Boana, Boiga, Boiruna, Bombina, Bombycilla, Bos, Bothrops, Bradypus, Branta, Brotogeris, Bubo, Bubulcus, Bucanetes, Bucco, Bufo, Bufotes, Bulweria, Bungarus, Burhinus, Buteo, Buteogallus, Butorides, Cabassous, Cacicus, Caecilia, Caiman, Cairina, Calandrella, Callimedusa, Calliophis, Callipepla, Callithrix, Callosciurus, Calloselasma, Calomys, Calotes, Caluromys, Camarhynchus, Campephilus, Campocolinus, Camptostoma, Campylopterus, Campylorhamphus, Campylorhynchus, Canis, Cannomys, Cantorchilus, Capito, Capreolus, Caprimulgus, Caracara, Cardinalis, Carduelis, Cariama, Carollia, Carpococcyx, Castor, Cathartes, Catharus, Cavia, Cecropis, Centropus, Ceratophrys, Cerdocyon, Certhiaxis, Cervus, Cettia, Chaetocercus, Chaetophractus, Chalcides, Chamaeleo, Charadrius, Chelidoptera, Chelonoidis, Chelydra, Chionomesa, Chiroderma, Chironectes, Chironius, Chiroxiphia, Chlamydotis, Chloris, Chloroceryle, Chlorosoma, Choloepus, Chordeiles, Chrysemys, Chrysocyon, Chrysomus, Chrysopelea, Cinnyris, Circaetus, Circus, Cisticola, Claravis, Claudius, Clelia, Cnemidophorus, Coccothraustes, Coccyzus, Cochlearius, Coelognathus, Coendou, Coereba, Colaptes, Colibri, Coloeus, Coluber, Columba, Columbina, Condylura, Conepatus, Coniophanes, Conirostrum, Connochaetes, Conopophaga, Conopsis, Contopus, Copeoglossum, Copsychus, Coracias, Coragyps, Corallus, Coronella, Corvus, Coryphospingus, Coturnix, Craspedocephalus, Cratogeomys, Craugastor, Crax, Cricetus, Crocidura, Crocodilurus, Crocodylus, Crocuta, Crotalus, Crotophaga, Crypturellus, Ctenosaura, Cuculus, Cuniculus, Cuora, Curruca, Cyanerpes, Cyanistes, Cyanocitta, Cyanocorax, Cyanoliseus, Cyanoloxia, Cyanopica, Cyclarhis, Cyclopes, Cygnus, Cylindrophis, Cynopterus, Cyrtodactylus, Cyrtonyx, Daboia, Dacnis, Dama, Daptrius, Darevskia, Dasia, Dasyprocta, Dasypterus, Dasypus, Delichon, Dendrelaphis, Dendrocolaptes, Dendrocopos, Dendrocygna, Dendropsophus, Dermatonotus, Diadophis, Dicrurus, Didelphis, Diplothrix, Dipodomys, Dipsas, Discoglossus, Dispholidus, Dives, Dolichophis, Dolichotis, Donacobius, Dracaena, Drepanoides, Drymarchon, Drymobius, Drymoluber, Dryobates, Dryocopus, Dryophylax, Dryophytes, Dumetella, Duttaphrynus, Echinanthera, Echis, Egretta, Eira, Elachistocleis, Elaenia, Eliomys, Emberiza, Emberizoides, Embernagra, Empidonomus, Emys, Engystomops, Enhydris, Enyalioides, Eonycteris, Epicrates, Epidalea, Eptesicus, Equus, Eremophila, Eremopterix, Erethizon, Erinaceus, Erithacus, Erythrolamprus, Eryx, Espadarana, Estrilda, Eublepharis, Eudorcas, Eudromia, Eudynamys, Eunectes, Eupetomena, Euphagus, Euphlyctis, Euphonia, Euphractus, Eupodotis, Eurypyga, Euscarthmus, Eutropis, Falco, Fejervarya, Felis, Ficedula, Formicivora, Forpus, Fowlea, Francolinus, Fringilla, Fulica, Funambulus, Furnarius, Galbula, Galea, Galerella, Galerida, Galictis, Gallinula, Gallus, Gampsonyx, Garrulus, Gehyra, Gekko, Genetta, Geochelone, Geoclemys, Geococcyx, Geospiza, Geothlypis, Glaucidium, Glaucomys, Glis, Glossophaga, Glyphoglossus, Glyptemys, Golunda, Gonyosoma, Guira, Haematopus, Haemorhous, Halcyon, Hebius, Helicops, Heliomaster, Helmitheros, Hemidactylus, Hemiechinus, Hemorrhois, Heosemys, Herpestes, Hesperoptenus, Hierophis, Himantopus, Hippolais, Hipposideros, Hirundo, Holcosus, Homalopsis, Homopus, Hoplobatrachus, Hoploxypterus, Hyaena, Hyalinobatrachium, Hydrochoerus, Hydrodynastes, Hydrophylax, Hydrops, Hydropsalis, Hyla, Hylarana, Hylocichla, Hylocryptus, Hylophilus, Hypnale, Hypothymis, Hypsipetes, Hypsiscopus, Hystrix, Iberolacerta, Ibycter, Ichthyophis, Icterus, Ictinia, Ictonyx, Iguana, Imantodes, Incilius, Irena, Ischnocnema, Itapotihyla, Ixobrychus, Jacana, Junco, Jynx, Kaloula, Kerodon, Kinosternon, Lacerta, Lachesis, Lagostomus, Lampropeltis, Lanius, Lankascincus, Larus, Lasiurus, Lathrotriccus, Legatus, Leiothlypis, Leontocebus, Leopardus, Leptailurus, Leptodactylus, Leptodeira, Leptophis, Leptotila, Lepus, Leuconotopicus, Leucophaeus, Linaria, Liomys, Liopeltis, Lissemys, Lissotriton, Lithobates, Lithodytes, Lonchura, Lontra, Lophophanes, Loriotus, Loxia, Lullula, Luscinia, Lutra, Lycalopex, Lycodon, Lygophis, Lygosoma, Lynx, Macaca, Machetornis, Macroglossus, Macroprotodon, Madoqua, Malayopython, Malpolon, Manacus, Manis, Marmosa, Marmota, Martes, Masticophis, Mastigodryas, Mauremys, Maxomys, Mazama, Medopheos, Megaceryle, Megarynchus, Megascops, Melanerpes, Melanochelys, Melanocorypha, Melanopareia, Melanosuchus, Meleagris, Meles, Melospiza, Melozone, Menetes, Mephitis, Merops, Mesembrinibis, Mesoclemmys, Mico, Micoureus, Micrastur, Microcavia, Microhyla, Microlophus, Microspizias, Microtus, Micrurus, Milvago, Milvus, Mimus, Minervarya, Miniopterus, Mionectes, Mirafra, Mitu, Molossus, Molothrus, Momotus, Monasa, Monodelphis, Moschiola, Motacilla, Murina, Mus, Muscicapa, Mussurana, Mustela, Mustelirallus, Myiarchus, Myiobius, Myiophobus, Myiopsitta, Myiothlypis, Myiozetetes, Myocastor, Myoprocta, Myotis, Myrmecophaga, Naja, Nandayus, Nasua, Natrix, Neomys, Neothraupis, Neotoma, Nerodia, Nesokia, Nilssonia, Ninia, Ninox, Noctilio, Nonnula, Nothura, Notiochelidon, Notophthalmus, Numida, Nyctanassa, Nyctereutes, Nyctibius, Nycticebus, Nycticeius, Nycticorax, Nyctidromus, Nyctiprogne, Nystalus, Occidozyga, Oceanodroma, Odocoileus, Odontophrynus, Oecomys, Oligodon, Oligoryzomys, Ololygon, Ondatra, Opheodrys, Ophiodes, Ophiophagus, Oreocryptophis, Oriolus, Ortalis, Orthotomus, Ortygornis, Oryctolagus, Oryzomys, Osteocephalus, Otocryptis, Otocyon, Otospermophilus, Otus, Ovis, Oxybelis, Oxyrhopus, Pachyramphus, Paleosuchus, Palusophis, Panthera, Pantherophis, Papio, Paradoxurus, Pardirallus, Pareas, Parkesia, Paroaria, Parus, Passer, Passerella, Passerina, Patagioenas, Pecari, Pelobates, Pelodytes, Pelophylax, Penelope, Perdix, Periparus, Pernis, Perognathus, Peromyscus, Petaurista, Petronia, Phacellodomus, Phacochoerus, Phaethon, Phaethornis, Phalacrocorax, Phasianus, Pheucticus, Philander, Philodryas, Phimophis, Phimosus, Phoenicurus, Phrynonax, Phrynops, Phrynosoma, Phyllomedusa, Phylloscopus, Phyllostomus, Physalaemus, Piaya, Pica, Piculus, Picumnus, Picus, Pionus, Pipa, Pipile, Pipistrellus, Pipra, Piranga, Pitangus, Pithecopus, Pitta, Pituophis, Platyceps, Platyrrhinus, Platyspiza, Plestiodon, Pleurodeles, Plica, Podarcis, Podilymbus, Podocnemis, Poecile, Polioptila, Polychrus, Polypedates, Polytmus, Pooecetes, Poospiza, Porphyrio, Porthidium, Porzana, Potos, Primolius, Prinia, Priodontes, Prionailurus, Pristimantis, Procavia, Procyon, Proechimys, Progne, Proteles, Protonotaria, Prunella, Psammodromus, Psammodynastes, Psammophis, Pseudacris, Pseudis, Pseudoboa, Pseudoleistes, Pseudonigrita, Pseudopaludicola, Pseudophilautus, Pseudoscops, Psilopogon, Psophia, Pternistis, Pterocles, Pteroglossus, Pteronotus, Ptyas, Pulsatrix, Puma, Pycnonotus, Pyriglena, Pyrocephalus, Pyrrhura, Python, Quiscalus, Rallus, Ramphastos, Ramphocelus, Rana, Rattus, Regulus, Reithrodontomys, Rhabdophis, Rhacophorus, Rhaebo, Rhea, Rhinella, Rhinobothryum, Rhinoclemmys, Rhinolophus, Rhinophis, Rhodospingus, Rhogeessa, Rhopodytes, Rhynchotus, Rostrhamus, Rucervus, Rupornis, Rusa, Saara, Saccopteryx, Sagittarius, Saguinus, Sahyadriophis, Saimiri, Salamandra, Salpinctes, Saltator, Saltatricula, Salvadora, Salvator, Sapajus, Saxicola, Saxicoloides, Sceloporus, Schiffornis, Schistochlamys, Schoeniophylax, Scinax, Sciurus, Sclateria, Scolopax, Scotophilus, Seiurus, Semnopithecus, Serinus, Setopagis, Setophaga, Sialia, Sibon, Sibynophis, Sicalis, Sigmodon, Simophis, Sinomicrurus, Siphlophis, Siphonops, Sistrurus, Smilisca, Sorex, Spalerosophis, Spea, Speothos, Sphaenorhynchus, Sphaerotheca, Sphiggurus, Spilogale, Spilopelia, Spilotes, Spinus, Spizaetus, Spizella, Sporophila, Sporopipes, Staurotypus, Stelgidopteryx, Stenocercus, Sternotherus, Stigmochelys, Stilpnia, Storeria, Streptopelia, Strix, Sturnella, Sturnira, Sturnus, Suncus, Sus, Sylvia, Sylvilagus, Sylvirana, Synallaxis, Synophis, Tachybaptus, Tachycineta, Tachyphonus, Taeniophallus, Talpa, Tamandua, Tamias, Tamiasciurus, Tantilla, Tapera, Taphozous, Tapirus, Taraba, Tarentola, Taxidea, Tayassu, Tchagra, Terrapene, Thalurania, Thamnodynastes, Thamnophilus, Thamnophis, Thecadactylus, Theristicus, Thraupis, Thrichomys, Thryothorus, Thyroptera, Tigrisoma, Timon, Tityra, Todirostrum, Tolmomyias, Tolypeutes, Tomodon, Toxostoma, Trachemys, Trachycephalus, Trachypithecus, Trimeresurus, Triturus, Troglodytes, Trogon, Tropidodryas, Tropidurus, Tupaia, Tupinambis, Turdoides, Turdus, Turnix, Tyrannulus, Tyrannus, Tyto, Uperodon, Upupa, Uraeginthus, Urocyon, Uroderma, Uropelia, Urotheca, Vampyriscus, Vanellus, Varanus, Veniliornis, Vipera, Vireo, Viverra, Viverricula, Volatinia, Vormela, Vulpes, Xenodon, Xenopeltis, Xenopholis, Xerospermophilus, Xiphorhynchus, Xolmis, Zaedyus, Zamenis, Zapus, Zenaida, Zonotrichia |
時間涵蓋範圍
| 起始日期 / 結束日期 | 1996-02-10 / 2024-04-01 |
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計畫資料
This dataset marks the first phase of the RISKY project, which aims to develop a comprehensive web platform on wildlife mortality from transport and energy infrastructure. The platform will integrate open-access data not only from roads but also from railways, power lines, and wind farms, user-friendly analytical tools to support conservation research and sensitivity maps to guide decision-makers in infrastructure planning and mitigation strategies. The RISKY project seeks to contribute knowledge for the development and expansion of energy and transport infrastructures that respect and protect wildlife.
| 計畫名稱 | RISKY – Global roadkill data |
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| 經費來源 | This dataset was developed as part of the RISKY project—Wildlife Mortality from Energy and Transport Infrastructure—funded by OSCARS (Open Science Clusters’ Action for Research and Society) under the European Commission’s Horizon Europe Research and Innovation Programme (Grant Agreement No. 101129751). Additionally, the development of this dataset was supported by the European Union’s Horizon 2020 Research and Innovation Programme (Grant Agreement No. 857251). Further support was provided by Fundação para a Ciência e Tecnologia (FCT, Portugal) (Grant CG - 2022.00579.CEECIND) and a grant awarded to TN from National Funds (UIDP/50027/2020) within the BIOPOLIS Association. |
參與計畫的人員:
Clara Grilo
- 作者
取樣方法
The sampling procedure varies with each study from which the data was collected. The dataset contains all necessary information to characterize each study. The footprintWKT is a line from the start of the sampled road segment to the last, it does not follow the road.
| 研究範圍 | Global |
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方法步驟描述:
- Data standardization - We conducted a clustering analysis on all text fields to identify similar entries with minor variations, such as typos, and corrected them using OpenRefine. We also standardized all date values using OpenRefine. Coordinate uncertainties listed as 0 m were adjusted to either 30m or 100m, depending on whether they were recorded after or before 2000, respectively, following the recommendation in the Darwin Core Reference Guide (https://dwc.tdwg.org/terms/#dwc:coordinateUncertaintyInMeters). Taxonomy - We cross-referenced all species names with the Global Biodiversity Information Facility (GBIF) Backbone Taxonomy using Java and GBIF’s API. This process aimed to rectify classification errors, include additional fields such as Kingdom, Phylum, and scientific authorship, and gather comprehensive taxonomic information to address any gap within the datasets. For species not automatically matched, we manually searched for correct synonyms when available. Georeferencing Quality Control - We employed the OpenStreetMap API through Java to detect location inaccuracies, and validate whether the geographic coordinates aligned with the specified country. We calculated the distance of each occurrence to the nearest road using the GRIP global roads database, ensuring that all records were within the defined coordinate uncertainty. We verified if the survey duration matched the provided initial and final survey dates. We calculated the distance between the provided initial and final road coordinates and cross-checked it with the given road length. We identified and merged duplicate entries within the same dataset (same location, species, and date), aggregating the number of roadkills for each occurrence.
額外的詮釋資料
| 替代的識別碼 | d3b6cb30-0a64-4f82-91ea-0bb14637ee17 |
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| http://ipt.gbif.pt/ipt/resource?r=global_roadkill_surveys |