Abstract
The dataset presented in this article supports “Intensive livestock farming as a major determinant of the exposure to anticoagulant rodenticides in raptors of the Canary Islands (Spain)” (Rial-Berriel et al., 2020). A Geographic Information System (GIS) analysis on the influence of the influence of livestock activity on exposure to anticoagulant rodenticides in raptors in the Canary Islands was performed. This dataset provides geographic information on the localization of each raptor (either positive or negative for anticoagulant rodenticides, n = 308), as well as the concentrations of each compound found in their livers. In addition, we present complementary analyses to those included in the main article, such as the detailed analysis of the farming activity influence on anticoagulant rodenticide exposure of raptors, by island and by raptor species.
Keywords: Geographic information system, Long-eared owl, Common kestrel, Common buzzard, Egyptian vulture, SGAR
Specifications Table
| Subject | Environmental Chemistry |
| Specific subject area | Census of raptor specimens for contaminant biomonitoring |
| Type of data | Figures (processed data), and the corresponding raw data (table) |
| How data were acquired | Ultra-high performance liquid chromatography coupled to triple quadrupole mass spectrometry (LC-MS/MS) GPS devices |
| Data format | Raw and analysed |
| Parameters for data collection | The data were systematically collected in the course of forensic investigations of incidents affecting wildlife. The main conditions for starting the data collection were that:
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| Description of data collection | All the available information about the animal (species and subspecies, age, sex, the possible cause of death, etc. . .), as well as the coordinates of the place where the animal/cadaver was found, collected with a centimetre precision GPS device by the environmental officers, were obtained from the reports of sample collection and the medical histories opened in the wildlife recovery centres of the Canary Islands. The quantification data of anticoagulant rodenticides in raptor were obtained analysing a series of 308 livers from January 2011 to May 2020. |
| Data source location | Institution: Toxicology Unit, Clinical Sciences Department, Universidad de Las Palmas de Gran Canaria City/Town/Region: Las Palmas de Gran Canaria (Gran Canaria, Canary Islands) Country: Spain |
| Data accessibility | With the article |
| Related research article | Intensive livestock farming as a major determinant of the exposure to anticoagulant rodenticides in raptors of the Canary Islands (Spain) https://doi.org/10.1016/j.scitotenv.2020.144386 |
Value of the Data
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The data that we present in this article are very useful to researchers who carry out biomonitoring of pesticides. They will also contribute in a very relevant way to the elaboration of the map of the exposure to rodenticides of raptors in Europe (LIFE APEX projects, European Raptor Biomonitoring Facility), as well as to implement the Information Platform for Chemical Monitoring (IPCheM) database, which is the European Commission's reference access point for searching, accessing and retrieving chemical occurrence data collected and managed in Europe.
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By providing not only pollution data, but also the GPS coordinates of 308 raptor specimens, some of them belonging to species very rarely observed in Europe (the case of Eleanora's falcon and Barbary falcon), allows feeding databases, such as the Census of raptor specimens for pan-European contaminant biomonitoring.
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In addition, the censuses that are currently being carried out in Europe focus in a special way on those species that have a pan-European distribution, since the contamination data in raptors is crossed with those of the human population and in environmental samples of each country. In this work, we provide data from numerous specimens of the species that have been identified as being of greatest interest for this purpose: Buteo buteo (n = 53); Falco tinnunculus (n = 83); Tyto alba (n = 8); Asio otus (n = 68); as well as data from many other species of interest.
1. Data Description
The data presented here are part of a larger series of 831 animals that have been investigated for anticoagulant rodenticides in the Canary Islands over a decade (2011–2020), and which are presented in the article by Rial-Berriel et al. [1]. The data detailed at the individual level here focus on the 308 raptors included in that series. We have decided to include all the raptor specimens investigated, both those positive for anticoagulants and those negative, due to the importance of having georeferenced data of the specimens suitable for future analysis of contaminants at a pan-European level. Table 1 contains the details of all the individuals investigated, including species and subspecies, geographical data of their location (island, municipality, and GPS coordinates), and the individual concentrations of the 5 anticoagulant rodenticides detected in the series (brodifacoum, bromadiolone, difenacoum, difethialone, and flocoumafen). The shortest distance from the location of the bird of prey to the nearest cattle farm is also presented and including the type of livestock farmed.
Table 1.
Identification of each bird included in the study, with detailed information about the location where the corpse was found, including GPS coordinates, and about the concentration of anticoagulant rodenticides detected (replicate analysis are provided).
| SUM OF RODENTICIDES | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RAPTOR | BRODIFACOUM | BRODIFACOUM | BROMADIOLONE | BROMADIOLONE | DIFENACOUM | DIFENACOUM | DIFETHIALONE | DIFETHIALONE | FLOCOUMAFEN | FLOCOUMAFEN | (using averaged | Nº | Distance to the | Type of | |||||
| SPECIES | YEAR | ISLAND | MUNICIPALITY | UTMX | UTMY | measurement 1 | measurement 2 | measurement 1 | measurement 2 | measurement 1 | measurement 2 | measurement 1 | measurement 2 | measurement 1 | measurement 2 | measurements) | RODENTICIDES | nearest farm (m) | livestock |
| Accipiter nisus granti | 2020 | Gran Canaria | Moya | 454582 | 3104241 | 34.32 | 26.96 | 2.71 | 2.93 | 0.72 | 0.90 | 0.20 | 0.24 | 34.49 | 4 | 315 | Goat/Sheep | ||
| Accipiter nisus granti | 2020 | Gran Canaria | Telde | 458011 | 3096342 | 12.54 | 9.86 | 0.19 | 0.21 | 0.36 | 0.44 | 11.8 | 3 | 940 | Cattle | ||||
| Accipiter nisus granti | 2019 | Tenerife | Güimar | 359845 | 3135597 | 448.00 | 352.00 | 400 | 1 | 1420 | Cattle | ||||||||
| Accipiter nisus granti | 2019 | Tenerife | Güimar | 359845 | 3135597 | 0 | 0 | 1420 | Cattle | ||||||||||
| Accipiter nisus granti | 2019 | Tenerife | Güimar | 359845 | 3135597 | 0 | 0 | 1420 | Cattle | ||||||||||
| Accipiter nisus granti | 2020 | Gran Canaria | Las Palmas de Gran Canaria | 454183 | 3107904 | 2.45 | 2.87 | 0.22 | 0.24 | 2.89 | 2 | 1432 | Cattle | ||||||
| Accipiter nisus granti | 2019 | Gran Canaria | Telde | 459098 | 3096981 | 5.34 | 6.26 | 5.8 | 1 | 2040 | Goat/Sheep | ||||||||
| Accipiter nisus granti | 2014 | Gran Canaria | Moya | 441131 | 3107838 | 0 | 0 | 2580 | Goat/Sheep | ||||||||||
| Accipiter nisus granti | 2016 | Gran Canaria | Artenara | 432827 | 3098128 | 0 | 0 | 3722 | Goat/Sheep | ||||||||||
| Actitis hypoleucos | 2015 | Fuerteventura | Antigua | 610682 | 3140741 | 0 | 0 | 7585 | Pork | ||||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Agüimes | 452323 | 3084882 | 31.07 | 36.47 | 2.90 | 3.62 | 28.03 | 30.37 | 0.80 | 1.00 | 67.13 | 4 | 150 | Goat/Sheep | ||
| Asio otus canariensis | 2020 | Gran Canaria | La Aldea de San Nicolás | 447360 | 3104609 | 64.18 | 75.34 | 5.70 | 6.18 | 3.38 | 4.22 | 79.5 | 3 | 215 | Pork | ||||
| Asio otus canariensis | 2018 | La Gomera | San Sebastian de la Gomera | 293178 | 3110572 | 20.56 | 25.64 | 37.15 | 40.25 | 61.8 | 2 | 277 | Pork | ||||||
| Asio otus canariensis | 2019 | Gran Canaria | San Bartolomé de Tirajana | 441414 | 3073783 | 34.44 | 42.96 | 2.02 | 2.18 | 40.8 | 2 | 348 | Goat/Sheep | ||||||
| Asio otus canariensis | 2019 | Gran Canaria | Santa María de Guía | 437346 | 3107889 | 21.18 | 26.42 | 3.65 | 3.95 | 3.56 | 4.44 | 0.45 | 0.56 | 32.1 | 4 | 420 | Cattle | ||
| Asio otus canariensis | 2020 | Gran Canaria | San Mateo | 445964 | 3099016 | 1.87 | 2.33 | 41.98 | 45.48 | 45.83 | 2 | 425 | Pork | ||||||
| Asio otus canariensis | 2020 | Gran Canaria | Moya | 444454 | 3110673 | 207.46 | 258.74 | 11.90 | 12.90 | 0.30 | 0.38 | 245.84 | 3 | 500 | Goat/Sheep | ||||
| Asio otus canariensis | 2019 | La Gomera | Vallehermoso | 277429 | 3117336 | 8.10 | 10.10 | 15.17 | 16.43 | 24.9 | 2 | 504 | Pork | ||||||
| Asio otus canariensis | 2019 | La Gomera | Alajeró | 279237 | 3108868 | 26.21 | 20.59 | 34.37 | 37.23 | 59.2 | 2 | 504 | Pork | ||||||
| Asio otus canariensis | 2020 | Gran Canaria | Agüimes | 457380 | 3085646 | 8.40 | 6.60 | 1.25 | 1.55 | 8.9 | 2 | 520 | Pork | ||||||
| Asio otus canariensis | 2019 | La Gomera | San Sebastian de la Gomera | 291600 | 3110450 | 71.34 | 56.06 | 63.7 | 1 | 520 | Pork | ||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Arucas | 448896 | 3111130 | 44.12 | 34.66 | 39.39 | 1 | 523 | Pork | ||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Las Palmas de Gran Canaria | 457274 | 3101765 | 142.96 | 112.32 | 0.82 | 0.70 | 0.59 | 0.73 | 129.06 | 3 | 540 | Pork | ||||
| Asio otus canariensis | 2018 | Tenerife | Icod de los Vinos | 332484 | 3137697 | 1.91 | 2.39 | 4.75 | 4.05 | 1.07 | 1.33 | 7.75 | 3 | 558 | Cattle | ||||
| Asio otus canariensis | 2018 | Tenerife | Garachico | 328159 | 3138215 | 13.84 | 17.26 | 2.72 | 3.40 | 18.61 | 2 | 595 | Cattle | ||||||
| Asio otus canariensis | 2016 | Gran Canaria | Santa Brígida | 455403 | 3100630 | 9.85 | 8.39 | 9.12 | 1 | 599 | Goat/Sheep | ||||||||
| Asio otus canariensis | 2019 | Gran Canaria | Arucas | 449698 | 3111641 | 11.04 | 13.76 | 12.4 | 1 | 611 | Goat/Sheep | ||||||||
| Asio otus canariensis | 2019 | Tenerife | Garachico | 327088 | 3138866 | 39.34 | 49.06 | 13.08 | 16.32 | 58.9 | 2 | 615 | Cattle | ||||||
| Asio otus canariensis | 2019 | Tenerife | Garachico | 327088 | 3138866 | 0 | 0 | 615 | Cattle | ||||||||||
| Asio otus canariensis | 2019 | Tenerife | Garachico | 327088 | 3138866 | 0 | 0 | 615 | Cattle | ||||||||||
| Asio otus canariensis | 2019 | Tenerife | Icod de los Vinos | 333648 | 3138294 | 12.55 | 15.65 | 86.94 | 74.06 | 2.58 | 3.22 | 97.5 | 3 | 630 | Cattle | ||||
| Asio otus canariensis | 2018 | Tenerife | La Orotava | 349264 | 3139111 | 21.46 | 26.76 | 15.66 | 13.34 | 2.35 | 2.93 | 41.25 | 3 | 700 | Pork | ||||
| Asio otus canariensis | 2017 | Gran Canaria | Santa Brígida | 445895 | 3099567 | 0 | 0 | 700 | Pork | ||||||||||
| Asio otus canariensis | 2017 | Gran Canaria | Santa Brígida | 445379 | 3099148 | 20.92 | 26.09 | 42.01 | 35.79 | 62.4 | 2 | 700 | Pork | ||||||
| Asio otus canariensis | 2020 | Gran Canaria | Las Palmas de Gran Canaria | 453517 | 3107995 | 8.23 | 9.67 | 8.95 | 1 | 708 | Goat/Sheep | ||||||||
| Asio otus canariensis | 2019 | Gran Canaria | Arucas | 448362 | 3112107 | 47.05 | 55.23 | 1.62 | 1.38 | 1.25 | 1.55 | 54.04 | 3 | 717 | Goat/Sheep | ||||
| Asio otus canariensis | 2019 | Tenerife | Garachico | 327929 | 3139211 | 9.14 | 10.74 | 3.45 | 3.67 | 13.5 | 2 | 740 | Cattle | ||||||
| Asio otus canariensis | 2017 | Gran Canaria | Las Palmas de Gran Canaria | 456453 | 3101685 | 111.81 | 131.25 | 121.53 | 1 | 846 | Pork | ||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Galdar | 437782 | 3109413 | 156.22 | 183.38 | 1.36 | 1.44 | 0.48 | 0.52 | 4.66 | 4.94 | 176.5 | 4 | 890 | Cattle | ||
| Asio otus canariensis | 2019 | Gran Canaria | Telde | 457693 | 3096377 | 16.04 | 18.84 | 4.95 | 5.25 | 22.54 | 2 | 898 | Cattle | ||||||
| Asio otus canariensis | 2020 | Gran Canaria | Moya | 444415 | 3109696 | 32.57 | 38.23 | 2.94 | 3.12 | 1.09 | 1.15 | 0.27 | 0.29 | 39.83 | 4 | 932 | Pork | ||
| Asio otus canariensis | 2020 | Gran Canaria | Moya | 443379 | 3110260 | 9.53 | 11.19 | 10.36 | 1 | 980 | Goat/Sheep | ||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Santa María de Guía | 438138 | 3110107 | 27.49 | 32.27 | 9.17 | 9.73 | 0.65 | 0.69 | 40 | 3 | 1104 | Goat/Sheep | ||||
| Asio otus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 454870 | 3103678 | 136.75 | 160.53 | 65.42 | 69.46 | 2.70 | 2.86 | 218.86 | 3 | 1115 | Goat/Sheep | ||||
| Asio otus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 454870 | 3103678 | 67.34 | 79.06 | 73.2 | 1 | 1115 | Goat/Sheep | ||||||||
| Asio otus canariensis | 2020 | Gran Canaria | Valsequillo | 4513691 | 3095938 | 0 | 0 | 1140 | Goat/Sheep | ||||||||||
| Asio otus canariensis | 2019 | Gran Canaria | Arucas | 449842 | 3112531 | 5.04 | 3.96 | 4.46 | 4.74 | 9.1 | 2 | 1148 | Goat/Sheep | ||||||
| Asio otus canariensis | 2016 | La Gomera | Vallehermoso | 277601 | 3115588 | 149.18 | 117.22 | 22.41 | 23.79 | 156.3 | 2 | 1384 | Pork | ||||||
| Asio otus canariensis | 2019 | La Gomera | Vallehermoso | 276852 | 3117893 | 37.74 | 29.66 | 3.69 | 3.91 | 37.5 | 2 | 1395 | Pork | ||||||
| Asio otus canariensis | 2016 | Gran Canaria | Tejeda | 441406 | 3097942 | 264.19 | 207.57 | 71.23 | 75.63 | 309.31 | 2 | 1449 | Cattle | ||||||
| Asio otus canariensis | 2017 | Gran Canaria | San Mateo | 444207 | 3096578 | 11.91 | 9.35 | 32.64 | 34.66 | 3.72 | 3.96 | 48.12 | 3 | 1603 | Cattle | ||||
| Asio otus canariensis | 2016 | La Gomera | Alajeró | 279309 | 3110804 | 10.89 | 11.57 | 11.23 | 1 | 1742 | Pork | ||||||||
| Asio otus canariensis | 2018 | Tenerife | Icod de los Vinos | 331062 | 3137692 | 61.60 | 48.40 | 55 | 1 | 1786 | Cattle | ||||||||
| Asio otus canariensis | 2018 | Tenerife | Icod de los Vinos | 334580 | 3140044 | 12.56 | 9.86 | 3.98 | 4.22 | 15.31 | 2 | 1955 | Cattle | ||||||
| Asio otus canariensis | 2019 | Gran Canaria | Telde | 458537 | 3096938 | 0 | 0 | 1970 | Goat/Sheep | ||||||||||
| Asio otus canariensis | 2017 | Tenerife | La Orotava | 349544 | 3140835 | 16.86 | 13.24 | 15.05 | 1 | 2008 | Cattle | ||||||||
| Asio otus canariensis | 2017 | Tenerife | La Orotava | 349601 | 3140971 | 20.56 | 25.64 | 23.1 | 1 | 2008 | Cattle | ||||||||
| Asio otus canariensis | 2017 | Gran Canaria | San Mateo | 445037 | 3093464 | 0 | 0 | 2250 | Cattle | ||||||||||
| Asio otus canariensis | 2018 | Tenerife | Icod de los Vinos | 332418 | 3140319 | 20.05 | 23.53 | 14.16 | 15.04 | 36.39 | 2 | 2314 | Cattle | ||||||
| Asio otus canariensis | 2020 | Gran Canaria | Arucas | 448585 | 3107247 | 0 | 0 | 2430 | Goat/Sheep | ||||||||||
| Asio otus canariensis | 2017 | Tenerife | Icod de los Vinos | 333662 | 3140549 | 220.80 | 259.20 | 240 | 1 | 2573 | Cattle | ||||||||
| Asio otus canariensis | 2011 | Gran Canaria | Santa María de Guía | 437802 | 3114283 | 68.89 | 80.87 | 456.37 | 569.17 | 10.28 | 10.92 | 598.25 | 3 | 2794 | Goat/Sheep | ||||
| Asio otus canariensis | 2017 | Tenerife | El Tanque | 325534 | 3135980 | 5.87 | 7.33 | 6.6 | 1 | 3046 | Cattle | ||||||||
| Asio otus canariensis | 2019 | Gran Canaria | Telde | 461042 | 3099842 | 0 | 0 | 3050 | Goat/Sheep | ||||||||||
| Asio otus canariensis | 2018 | La Gomera | Vallehermoso | 274597 | 3117378 | 0 | 0 | 3270 | Pork | ||||||||||
| Asio otus canariensis | 2020 | Tenerife | Icod de los Vinos | 331220 | 3135855 | 0 | 0 | 3286 | Goat/sheep | ||||||||||
| Asio otus canariensis | 2018 | Tenerife | Icod de los Vinos | 335500 | 3140260 | 2.79 | 3.47 | 3.13 | 1 | 3430 | Cattle | ||||||||
| Asio otus canariensis | 2017 | Tenerife | El Tanque | 325537 | 3135796 | 0 | 0 | 3567 | Cattle | ||||||||||
| Asio otus canariensis | 2017 | Tenerife | Santiago del Teide | 322325 | 3126701 | 0 | 0 | 3620 | Goat/Sheep | ||||||||||
| Asio otus canariensis | 2016 | Gran Canaria | San Mateo | 441262 | 3098794 | 0 | 0 | 4095 | Pork | ||||||||||
| Asio otus canariensis | 2016 | Gran Canaria | San Mateo | 443791 | 3095962 | 0 | 0 | 4181 | Pork | ||||||||||
| Asio otus canariensis | 2020 | Tenerife | Santa Cruz de Tenerife | 380799 | 3156456 | 0 | 0 | 4556 | Goat/sheep | ||||||||||
| Asio otus canariensis | 2017 | Tenerife | El Tanque | 352118 | 3134946 | 0 | 0 | 4566 | Pork | ||||||||||
| Asio otus canariensis | 2020 | Lanzarote | Teguise | 642186 | 3212326 | 0 | 0 | 4788 | Goat/sheep | ||||||||||
| Asio otus canariensis | 2017 | Tenerife | El Tanque | 324844 | 3134546 | 6.32 | 7.88 | 7.1 | 1 | 5055 | Cattle | ||||||||
| Asio otus canariensis | 2018 | La Gomera | San Sebastian de la Gomera | 284046 | 3116134 | 23.16 | 28.88 | 26.02 | 1 | 6260 | Pork | ||||||||
| Asio otus canariensis | 2018 | La Gomera | San Sebastian de la Gomera | 284356 | 3116998 | 1.34 | 1.14 | 1.24 | 1 | 6260 | Pork | ||||||||
| Asio otus canariensis | 2019 | Fuerteventura | Pájara | 587386 | 3136159 | 2.55 | 3.19 | 0.74 | 0.92 | 3.7 | 2 | 7889 | Goat/Sheep | ||||||
| Buteo buteo insularum | 2020 | Gran Canaria | Ingenio | 456965 | 3089566 | 7.92 | 9.88 | 1.84 | 1.56 | 10.6 | 2 | 310 | Goat/Sheep | ||||||
| Buteo buteo insularum | 2015 | Gran Canaria | Valsequillo | 449544 | 3094810 | 709.01 | 884.27 | 109.83 | 116.63 | 51.72 | 44.06 | 957.76 | 3 | 365 | Pork | ||||
| Buteo buteo insularum | 2016 | Gran Canaria | Valleseco | 441656 | 3103060 | 19.14 | 23.87 | 31.72 | 33.68 | 54.2 | 2 | 400 | Pork | ||||||
| Buteo buteo insularum | 2014 | Gran Canaria | Teror | 445691 | 3102357 | 0 | 0 | 580 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2014 | Gran Canaria | Teror | 445691 | 3102357 | 19.09 | 23.81 | 34.60 | 36.74 | 57.12 | 2 | 580 | Goat/Sheep | ||||||
| Buteo buteo insularum | 2018 | La Gomera | Vallehermoso | 278333 | 3116479 | 34.89 | 43.51 | 39.2 | 1 | 625 | Pork | ||||||||
| Buteo buteo insularum | 2019 | Gran Canaria | San Mateo | 446859 | 3098882 | 2.34 | 2.92 | 5.78 | 6.14 | 8.59 | 2 | 735 | Pork | ||||||
| Buteo buteo insularum | 2020 | Gran Canaria | Arucas | 447622 | 3113963 | 68.13 | 84.97 | 149.59 | 158.85 | 25.27 | 21.53 | 254.17 | 3 | 786 | Pork | ||||
| Buteo buteo insularum | 2017 | Fuerteventura | Antigua | 602696 | 3139347 | 4.68 | 5.84 | 1.47 | 1.57 | 6.78 | 2 | 910 | Pork | ||||||
| Buteo buteo insularum | 2016 | Gran Canaria | Valleseco | 446323 | 3100270 | 340.67 | 267.67 | 181.97 | 193.23 | 491.77 | 2 | 919 | Pork | ||||||
| Buteo buteo insularum | 2016 | Gran Canaria | Valleseco | 446323 | 3100270 | 0 | 0 | 919 | Pork | ||||||||||
| Buteo buteo insularum | 2018 | Gran Canaria | Arucas | 450882 | 3109182 | 123.87 | 131.53 | 127.7 | 1 | 922 | Goat/Sheep | ||||||||
| Buteo buteo insularum | 2018 | La Palma | Mazo | 228158 | 3162869 | 22.70 | 24.10 | 23.4 | 1 | 967 | Cattle | ||||||||
| Buteo buteo insularum | 2018 | La Palma | Mazo | 228256 | 3162049 | 119.12 | 126.48 | 122.8 | 1 | 967 | Cattle | ||||||||
| Buteo buteo insularum | 2020 | Gran Canaria | Galdar | 437673 | 3108975 | 134.89 | 105.99 | 3.46 | 2.94 | 123.64 | 2 | 1140 | Pork | ||||||
| Buteo buteo insularum | 2019 | Gran Canaria | Las Palmas de Gran Canaria | 456551 | 3106437 | 2.91 | 2.29 | 1.62 | 1.38 | 4.1 | 2 | 1150 | Pork | ||||||
| Buteo buteo insularum | 2014 | Gran Canaria | Artenara | 438018 | 3100502 | 0 | 0 | 1196 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2020 | Gran Canaria | San Mateo | 444505 | 3099749 | 29.06 | 22.84 | 19.68 | 16.76 | 7.94 | 6.76 | 51.52 | 3 | 1234 | Pork | ||||
| Buteo buteo insularum | 2017 | La Palma | El Sauzal | 362492 | 3146442 | 112.00 | 88.00 | 36.99 | 31.51 | 18.66 | 15.90 | 151.53 | 3 | 1279 | Cattle | ||||
| Buteo buteo insularum | 2018 | Tenerife | La Matanza de Acentejo | 358634 | 3146709 | 16.89 | 13.27 | 132.95 | 113.25 | 138.18 | 2 | 1310 | Pork | ||||||
| Buteo buteo insularum | 2019 | Gran Canaria | Telde | 457380 | 3096726 | 0 | 0 | 1330 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2015 | Gran Canaria | Telde | 454049 | 3097857 | 25.54 | 21.76 | 23.65 | 1 | 1375 | Cattle | ||||||||
| Buteo buteo insularum | 2018 | Tenerife | El Tanque | 326925 | 3137290 | 6.23 | 4.89 | 16.96 | 14.44 | 8.50 | 7.24 | 29.13 | 3 | 1413 | Cattle | ||||
| Buteo buteo insularum | 2013 | Gran Canaria | Galdar | 439904 | 3102452 | 0 | 0 | 1468 | Pork | ||||||||||
| Buteo buteo insularum | 2013 | Gran Canaria | Galdar | 439904 | 3102452 | 17.55 | 13.79 | 35.77 | 30.47 | 48.79 | 2 | 1468 | Pork | ||||||
| Buteo buteo insularum | 2011 | Gran Canaria | San Mateo | 445573 | 3099452 | 23.38 | 19.92 | 21.65 | 1 | 1469 | Pork | ||||||||
| Buteo buteo insularum | 2017 | Tenerife | La Victoria de Acentejo | 357709 | 3144010 | 26.70 | 33.30 | 59.40 | 50.60 | 85 | 2 | 1493 | Pork | ||||||
| Buteo buteo insularum | 2019 | Gran Canaria | San Bartolomé de Tirajana | 446430 | 3086617 | 3.34 | 4.16 | 3.75 | 1 | 1503 | Pork | ||||||||
| Buteo buteo insularum | 2017 | Gran Canaria | San Mateo | 444425 | 3093490 | 12.02 | 14.99 | 131.33 | 111.87 | 135.1 | 2 | 1705 | Cattle | ||||||
| Buteo buteo insularum | 2017 | Gran Canaria | San Mateo | 444425 | 3093490 | 9.97 | 12.43 | 96.55 | 82.25 | 34.67 | 29.53 | 132.7 | 3 | 1705 | Cattle | ||||
| Buteo buteo insularum | 2014 | Gran Canaria | Arucas | 447168 | 3111519 | 56.03 | 69.89 | 47.69 | 40.63 | 25.11 | 21.39 | 130.37 | 3 | 1800 | Goat/Sheep | ||||
| Buteo buteo insularum | 2014 | Gran Canaria | Arucas | 447168 | 3111519 | 0 | 0 | 1800 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2018 | Tenerife | Buenavista del Norte | 315335 | 3138528 | 0 | 0 | 1871 | Pork | ||||||||||
| Buteo buteo insularum | 2017 | Gran Canaria | Valleseco | 443073 | 3099523 | 0 | 0 | 2126 | Pork | ||||||||||
| Buteo buteo insularum | 2017 | Gran Canaria | Valleseco | 443073 | 3099523 | 29.01 | 36.19 | 80.24 | 68.36 | 11.62 | 12.58 | 119 | 3 | 2126 | Pork | ||||
| Buteo buteo insularum | 2011 | Gran Canaria | Tejeda | 441863 | 3100156 | 0 | 0 | 2342 | Pork | ||||||||||
| Buteo buteo insularum | 2011 | Gran Canaria | Tejeda | 441863 | 3100156 | 8.65 | 10.79 | 11.84 | 12.82 | 22.05 | 2 | 2342 | Pork | ||||||
| Buteo buteo insularum | 2018 | Tenerife | Buenavista del Norte | 317195 | 3139973 | 0 | 0 | 2627 | Pork | ||||||||||
| Buteo buteo insularum | 2018 | Tenerife | Buenavista del Norte | 315602 | 3139247 | 9.46 | 11.80 | 105.79 | 114.61 | 120.83 | 2 | 2648 | Pork | ||||||
| Buteo buteo insularum | 2018 | Tenerife | Buenavista del Norte | 315913 | 3139006 | 9.41 | 10.19 | 9.8 | 1 | 2648 | Pork | ||||||||
| Buteo buteo insularum | 2011 | Gran Canaria | Tejeda | 441807 | 3093073 | 12.57 | 15.67 | 30.84 | 33.40 | 46.24 | 2 | 2859 | Pork | ||||||
| Buteo buteo insularum | 2011 | Gran Canaria | Tejeda | 441807 | 3093073 | 1.27 | 1.37 | 1.32 | 1 | 2859 | Pork | ||||||||
| Buteo buteo insularum | 2017 | Gran Canaria | San Bartolomé de Tirajana | 439141 | 3090223 | 2.23 | 2.78 | 2.5 | 1 | 3280 | Pork | ||||||||
| Buteo buteo insularum | 2018 | Tenerife | Buenavista del Norte | 319935 | 3135622 | 0 | 0 | 3848 | Pork | ||||||||||
| Buteo buteo insularum | 2011 | Gran Canaria | Artenara | 436337 | 3097463 | 0 | 0 | 3960 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2018 | Fuerteventura | Puerto del Rosario | 609021 | 3152412 | 0 | 0 | 4052 | Pork | ||||||||||
| Buteo buteo insularum | 2020 | Tenerife | Guía de Isora | 327433 | 3122925 | 0 | 0 | 4322 | Goat/sheep | ||||||||||
| Buteo buteo insularum | 2013 | Gran Canaria | Artenara | 426275 | 3101266 | 0 | 0 | 5249 | Goat/Sheep | ||||||||||
| Buteo buteo insularum | 2020 | Lanzarote | Haría | 617377 | 3211234 | 0 | 0 | 6322 | Goat/sheep | ||||||||||
| Buteo buteo insularum | 2020 | Gran Canaria | Mogan | 428829 | 3083419 | 0 | 0 | 6345 | Goat/sheep | ||||||||||
| Buteo buteo insularum | 2018 | La Gomera | Hemigua | 284932 | 3115997 | 0 | 0 | 6350 | Pork | ||||||||||
| Buteo buteo insularum | 2014 | Gran Canaria | Tejeda | 434124 | 3091498 | 0 | 0 | 8395 | Pork | ||||||||||
| Buteo buteo insularum | 2019 | Gran Canaria | San Bartolomé de Tirajana | 431763 | 3078873 | 0 | 0 | 12700 | Pork | ||||||||||
| Circus aeruginosus | 2019 | Gran Canaria | Las Palmas de Gran Canaria | 457499 | 3111772 | 0 | 0 | 4015 | Pork | ||||||||||
| Falco eleonorae | 2014 | Gran Canaria | Tejeda | 440918 | 3098515 | 0 | 0 | 4220 | Goat/Sheep | ||||||||||
| Falco eleonorae | 2019 | Lanzarote | Arrecife | 641223 | 3204522 | 3.18 | 3.74 | 0.41 | 0.45 | 3.89 | 2 | 4555 | Pork | ||||||
| Falco eleonorae | 2019 | Lanzarote | Haria | 645428 | 3238810 | 1.18 | 1.38 | 1.28 | 1 | 7345 | Goat/sheep | ||||||||
| Falco eleonorae | 2016 | Fuerteventura | Pájara | 567311 | 3105914 | 0 | 0 | 19737 | Pork | ||||||||||
| Falco peregrinus pelegrinoides | 2020 | Gran Canaria | Artenara | 449358 | 3101476 | 1.10 | 1.30 | 1.2 | 1 | 430 | Goat/Sheep | ||||||||
| Falco peregrinus pelegrinoides | 2019 | Lanzarote | Teguise | 634517 | 3215084 | 5.80 | 6.80 | 6.3 | 1 | 1343 | Pork | ||||||||
| Falco peregrinus pelegrinoides | 2019 | Gran Canaria | Telde | 462858 | 3097310 | 7.27 | 8.53 | 7.10 | 7.70 | 15.3 | 2 | 1420 | Goat/Sheep | ||||||
| Falco peregrinus pelegrinoides | 2019 | Gran Canaria | Telde | 462858 | 3097310 | 0 | 0 | 1420 | Goat/Sheep | ||||||||||
| Falco peregrinus pelegrinoides | 2018 | Tenerife | Arico | 352926 | 3115789 | 3.54 | 4.16 | 4.77 | 5.17 | 8.82 | 2 | 1710 | Cattle | ||||||
| Falco peregrinus pelegrinoides | 2020 | Gran Canaria | Agüimes | 453150 | 3086742 | 0 | 0 | 3213 | Goat/sheep | ||||||||||
| Falco peregrinus pelegrinoides | 2019 | Gran Canaria | Agüimes | 459145 | 3081405 | 0 | 0 | 3655 | Goat/Sheep | ||||||||||
| Falco peregrinus pelegrinoides | 2011 | Lanzarote | Tinajo | 626292 | 3212418 | 29.37 | 23.07 | 39.12 | 33.32 | 62.44 | 2 | 4002 | Pork | ||||||
| Falco peregrinus pelegrinoides | 2011 | Lanzarote | Yaiza | 620344 | 3207276 | 0 | 0 | 4684 | Goat/Sheep | ||||||||||
| Falco peregrinus pelegrinoides | 2018 | Gran Canaria | Mogan | 438231 | 3089822 | 0 | 0 | 6213 | Cattle | ||||||||||
| Falco peregrinus pelegrinoides | 2011 | Lanzarote | Teguise | 640224 | 3215519 | 6.33 | 4.97 | 5.65 | 1 | 6816 | Pork | ||||||||
| Falco peregrinus pelegrinoides | 2018 | Gran Canaria | Mogan | 437655 | 3088876 | 0 | 0 | 7432 | Cattle | ||||||||||
| Falco peregrinus pelegrinoides | 2015 | Fuerteventura | La Oliva | 615073 | 3180976 | 0 | 0 | 10343 | Goat/Sheep | ||||||||||
| Falco subbuteo | 2019 | Fuerteventura | La Oliva | 568210 | 3105010 | 0 | 0 | 20240 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2019 | Gran Canaria | Santa Brígida | 456500 | 3101889 | 101.55 | 79.79 | 25.51 | 21.73 | 114.29 | 2 | 278 | Pork | ||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Arucas | 448651 | 3109655 | 109.87 | 86.33 | 61.34 | 52.26 | 154.9 | 2 | 288 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 443196 | 3087108 | 6.61 | 5.19 | 33.37 | 28.43 | 30.14 | 32.66 | 11.66 | 9.94 | 79 | 4 | 308 | Cattle | ||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Ingenio | 460439 | 3086554 | 14.09 | 11.07 | 4.60 | 3.92 | 25.14 | 27.24 | 43.03 | 3 | 380 | Cattle | ||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Telde | 461779 | 3097167 | 26.61 | 20.91 | 36.41 | 31.01 | 1.54 | 1.66 | 0.50 | 0.42 | 59.53 | 4 | 405 | Goat/Sheep | ||
| Falco tinnunculus canariensis | 2014 | La Palma | Los Llanos de Aridane | 216856 | 3173902 | 163.56 | 128.52 | 419.50 | 357.36 | 32.09 | 34.77 | 567.9 | 3 | 430 | Pork | ||||
| Falco tinnunculus canariensis | 2014 | Gran Canaria | Santa María de Guía | 437007 | 3107606 | 97.52 | 76.62 | 560.20 | 477.20 | 605.77 | 2 | 492 | Pork | ||||||
| Falco tinnunculus canariensis | 2018 | La Gomera | San Sebastian de la Gomera | 293533 | 3109569 | 48.05 | 37.75 | 3.46 | 3.74 | 46.5 | 2 | 505 | Pork | ||||||
| Falco tinnunculus canariensis | 2014 | La Palma | El Paso | 224440 | 3161517 | 0 | 0 | 572 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2014 | La Palma | El Paso | 224440 | 3161517 | 28.13 | 35.09 | 1013.65 | 1076.35 | 1076.61 | 2 | 572 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2014 | Gran Canaria | Valleseco | 443613 | 3102482 | 47.56 | 59.32 | 53.44 | 1 | 695 | Cattle | ||||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Tejeda | 444550 | 3092087 | 30.37 | 37.87 | 4.92 | 5.22 | 60.83 | 51.81 | 8.65 | 7.37 | 103.52 | 4 | 774 | Cattle | ||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 448717 | 3072935 | 22.70 | 28.31 | 26.00 | 27.60 | 1.94 | 1.66 | 2.59 | 2.21 | 56.5 | 4 | 820 | Goat/Sheep | ||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Ingenio | 456956 | 3088494 | 47.97 | 59.83 | 54.13 | 57.47 | 11.34 | 9.66 | 120.2 | 3 | 820 | Goat/Sheep | ||||
| Falco tinnunculus canariensis | 2019 | La Gomera | Hemigua | 278774 | 3117473 | 14.74 | 15.66 | 15.2 | 1 | 894 | Pork | ||||||||
| Falco tinnunculus canariensis | 2017 | La Gomera | Alajeró | 279727 | 3109537 | 605.20 | 754.80 | 50.44 | 53.56 | 732 | 2 | 909 | Pork | ||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 446416 | 3073529 | 5.74 | 7.16 | 1.12 | 1.18 | 1.19 | 1.01 | 2.91 | 2.47 | 11.39 | 4 | 911 | Pork | ||
| Falco tinnunculus canariensis | 2019 | Gran Canaria | Las Palmas de Gran Canaria | 457740 | 3100863 | 62.03 | 77.37 | 4.66 | 4.94 | 74.5 | 2 | 920 | Cattle | ||||||
| Falco tinnunculus canariensis | 2019 | Gran Canaria | Arucas | 447882 | 3112415 | 38.72 | 48.29 | 43.46 | 46.14 | 12.10 | 10.30 | 99.5 | 3 | 930 | Goat/Sheep | ||||
| Falco tinnunculus canariensis | 2019 | Gran Canaria | Santa Lucía de Tirajana | 456584 | 3080365 | 15.31 | 19.09 | 18.33 | 19.47 | 1.51 | 1.29 | 37.5 | 3 | 950 | Cattle | ||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 440413 | 3073126 | 1.25 | 1.55 | 7.84 | 9.78 | 0.52 | 0.44 | 0.54 | 0.58 | 11.25 | 4 | 1023 | Cattle | ||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 441025 | 3072520 | 179.10 | 223.38 | 26.99 | 33.67 | 9.54 | 8.12 | 240.4 | 3 | 1120 | Goat/Sheep | ||||
| Falco tinnunculus canariensis | 2014 | La Palma | Los Llanos de Aridane | 215137 | 3165875 | 1833.40 | 2286.60 | 2060 | 1 | 1123 | Goat/Sheep | ||||||||
| Falco tinnunculus canariensis | 2014 | La Palma | El Paso | 219297 | 3172571 | 20.60 | 25.70 | 23.15 | 1 | 1266 | Goat/Sheep | ||||||||
| Falco tinnunculus canariensis | 2014 | La Palma | El Paso | 224341 | 3162500 | 4307.60 | 5372.40 | 4840 | 1 | 1311 | Pork | ||||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Arucas | 447238 | 3106246 | 56.37 | 66.17 | 3.85 | 4.81 | 0.46 | 0.40 | 66.03 | 3 | 1321 | Cattle | ||||
| Falco tinnunculus canariensis | 2014 | Gran Canaria | Firgas | 443790 | 3109207 | 818.42 | 960.76 | 219.49 | 273.75 | 1136.21 | 2 | 1348 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Los Realejos | 343970 | 3142281 | 0 | 0 | 1352 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Tacoronte | 362702 | 3148625 | 12.64 | 15.76 | 14.2 | 1 | 1385 | Cattle | ||||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | La Orotava | 351940 | 3140026 | 1.29 | 1.51 | 1.57 | 1.67 | 3.02 | 2 | 1423 | Pork | ||||||
| Falco tinnunculus canariensis | 2015 | Gran Canaria | Las Palmas de Gran Canaria | 452395 | 3110907 | 71.41 | 83.83 | 328.14 | 409.26 | 446.32 | 2 | 1430 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | Icod de los Vinos | 332042 | 3136867 | 3.52 | 4.14 | 4.57 | 5.69 | 8.96 | 2 | 1463 | Cattle | ||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Santa Brígida | 453909 | 3102429 | 1079.69 | 1267.47 | 170.49 | 212.63 | 1365.14 | 2 | 1640 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Santa Brígida | 453976 | 3102516 | 909.15 | 1067.27 | 988.21 | 1 | 1640 | Goat/Sheep | ||||||||
| Falco tinnunculus canariensis | 2017 | La Gomera | Alajeró | 279894 | 3110877 | 41.40 | 48.60 | 64.32 | 69.68 | 112 | 2 | 1718 | Pork | ||||||
| Falco tinnunculus canariensis | 2014 | La Palma | Tazacorte | 212224 | 3173709 | 11.93 | 14.01 | 75.64 | 81.94 | 91.76 | 2 | 1732 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | Garachico | 329541 | 3139807 | 9.90 | 11.62 | 160.61 | 173.99 | 4.41 | 4.69 | 182.61 | 3 | 1788 | Cattle | ||||
| Falco tinnunculus canariensis | 2018 | Tenerife | El Tanque | 325971 | 3138235 | 2.71 | 3.19 | 12.43 | 13.47 | 15.9 | 2 | 1836 | Cattle | ||||||
| Falco tinnunculus canariensis | 2018 | Gran Canaria | Agaete | 434493 | 3103475 | 0 | 0 | 1901 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2014 | Gran Canaria | Telde | 459249 | 3097315 | 11.92 | 14.00 | 281.54 | 305.00 | 23.90 | 25.38 | 330.87 | 3 | 1966 | Goat/Sheep | ||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Galdar | 438114 | 3103429 | 37.34 | 40.46 | 38.9 | 1 | 2167 | Cattle | ||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Guía de Isora | 324346 | 3123508 | 840.00 | 660.00 | 27.84 | 30.16 | 779 | 2 | 2332 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Guía de Isora | 324346 | 3123508 | 403.20 | 316.80 | 172.80 | 187.20 | 540 | 2 | 2332 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2018 | La Gomera | San Sebastian de la Gomera | 283452 | 3110317 | 581.76 | 630.24 | 606 | 1 | 2980 | Pork | ||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Santiago del Teide | 319264 | 3124971 | 0 | 0 | 3200 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 458680 | 3104557 | 3.73 | 2.93 | 2.52 | 2.72 | 5.95 | 2 | 3601 | Pork | ||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 458981 | 3106517 | 0 | 0 | 3601 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 458981 | 3106517 | 0 | 0 | 3601 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 458981 | 3106517 | 0 | 0 | 3601 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2016 | Gran Canaria | Las Palmas de Gran Canaria | 458981 | 3106517 | 0 | 0 | 3601 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | El Tanque | 325000 | 3136221 | 0 | 0 | 3685 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2020 | La Palma | Mazo | 225396 | 3180471 | 0 | 0 | 3876 | Goat/sheep | ||||||||||
| Falco tinnunculus canariensis | 2020 | Tenerife | El Tanque | 337685 | 3137794 | 0 | 0 | 3965 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | Tejeda | 444533 | 3071230 | 0 | 0 | 4380 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Santa Cruz de Tenerife | 323246 | 3127519 | 728.00 | 572.00 | 121.18 | 103.22 | 762.2 | 2 | 4460 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Santa Cruz de Tenerife | 323246 | 3127519 | 350.45 | 275.35 | 191.05 | 162.75 | 489.8 | 2 | 4460 | Goat/Sheep | ||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | El Tanque | 324534 | 3134856 | 0 | 0 | 5070 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | El Tanque | 324448 | 3134743 | 0 | 0 | 5160 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2014 | Gran Canaria | San Mateo | 444338 | 3095625 | 534.00 | 666.00 | 600 | 1 | 5279 | Goat/Sheep | ||||||||
| Falco tinnunculus canariensis | 2020 | Gran Canaria | San Bartolomé de Tirajana | 441804 | 3069539 | 0 | 0 | 5432 | Goat/sheep | ||||||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | Buenavista del Norte | 320372 | 3129173 | 0 | 0 | 6152 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2017 | La Gomera | Hermigua | 284055 | 3117368 | 0 | 0 | 6200 | Goat/Sheep | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | El Tanque | 323743 | 3134459 | 10.04 | 8.56 | 9.3 | 1 | 6321 | Pork | ||||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | Vilaflor | 338727 | 3115304 | 0 | 0 | 6427 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2018 | La Gomera | Alajeró | 282492 | 3102551 | 34.43 | 42.93 | 38.68 | 1 | 6508 | Pork | ||||||||
| Falco tinnunculus canariensis | 2018 | Tenerife | Santiago del Teide | 325564 | 3130959 | 0 | 0 | 7848 | Cattle | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Santa Cruz de Tenerife | 378838 | 3158973 | 0 | 0 | 10177 | Pork | ||||||||||
| Falco tinnunculus canariensis | 2017 | Tenerife | Santa Cruz de Tenerife | 378875 | 3158830 | 0 | 0 | 10177 | Pork | ||||||||||
| Falco tinnunculus dacotiae | 2019 | Fuerteventura | Antigua | 596424 | 3140592 | 24.83 | 30.97 | 31.64 | 26.96 | 2.04 | 2.16 | 59.3 | 3 | 497 | Pork | ||||
| Falco tinnunculus dacotiae | 2019 | Lanzarote | Haría | 636900 | 3219658 | 190.10 | 237.10 | 49.46 | 42.14 | 259.4 | 2 | 1376 | Pork | ||||||
| Falco tinnunculus dacotiae | 2016 | Lanzarote | Tinajo | 629815 | 3214304 | 72.62 | 61.86 | 67.24 | 1 | 1493 | Pork | ||||||||
| Falco tinnunculus dacotiae | 2019 | Fuerteventura | La Oliva | 608201 | 3172036 | 0 | 0 | 2312 | Goat/Sheep | ||||||||||
| Falco tinnunculus dacotiae | 2020 | Fuerteventura | La Oliva | 594156 | 3160227 | 0 | 0 | 2378 | Cattle | ||||||||||
| Falco tinnunculus dacotiae | 2020 | Fuerteventura | Puerto del Rosario | 604782 | 3153957 | 0 | 0 | 3156 | Pork | ||||||||||
| Falco tinnunculus dacotiae | 2019 | Fuerteventura | Puerto del Rosario | 609610 | 3152448 | 30.97 | 38.63 | 3.68 | 3.14 | 4.01 | 5.00 | 42.71 | 3 | 4104 | Pork | ||||
| Falco tinnunculus dacotiae | 2011 | Lanzarote | Tinajo | 626294 | 3212311 | 0 | 0 | 4244 | Pork | ||||||||||
| Falco tinnunculus dacotiae | 2012 | Lanzarote | Yaiza | 613978 | 3208223 | 0 | 0 | 4480 | Pork | ||||||||||
| Falco tinnunculus dacotiae | 2019 | Lanzarote | Teguise | 640583 | 3216566 | 0 | 0 | 5617 | Pork | ||||||||||
| Falco tinnunculus dacotiae | 2020 | La Gomera | Hemigua | 287716 | 3114182 | 0 | 0 | 5789 | Goat/sheep | ||||||||||
| Falco tinnunculus dacotiae | 2017 | Fuerteventura | Pájara | 585926 | 3137560 | 11.13 | 13.88 | 3.15 | 3.35 | 1.07 | 1.33 | 16.95 | 3 | 8000 | Goat/Sheep | ||||
| Falco tinnunculus dacotiae | 2020 | Fuerteventura | Pájara | 567931 | 3108609 | 0 | 0 | 8731 | Goat/sheep | ||||||||||
| Falco tinnunculus dacotiae | 2014 | Fuerteventura | Pájara | 581964 | 3137545 | 9.93 | 12.39 | 11.16 | 1 | 9275 | Goat/Sheep | ||||||||
| Falco tinnunculus dacotiae | 2018 | Lanzarote | Yaiza | 613971 | 3208465 | 0 | 0 | 9596 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Tuineje | 596547 | 3123216 | 124.57 | 146.23 | 11.06 | 13.80 | 147.83 | 2 | 204 | Pork | ||||||
| Neophron percnopterus majorensis | 2013 | Gran Canaria | Las Palmas de Gran Canaria | 455338 | 3104877 | 0 | 0 | 338 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Tuineje | 596547 | 3123216 | 21.30 | 25.00 | 74.91 | 79.55 | 100.38 | 2 | 455 | Pork | ||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 560849 | 3108460 | 12.31 | 14.45 | 5.92 | 6.28 | 19.48 | 2 | 942 | Pork | ||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Betancuria | 590940 | 3143771 | 36.52 | 42.88 | 39.7 | 1 | 1080 | Goat/Sheep | ||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 607315 | 3150965 | 15.20 | 16.14 | 15.67 | 1 | 1125 | Pork | ||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 606445 | 3156687 | 26.59 | 31.21 | 2.38 | 2.96 | 31.57 | 2 | 1125 | Pork | ||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 607315 | 3150965 | 0 | 0 | 1125 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 1257 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 41.97 | 44.57 | 43.27 | 1 | 1257 | Goat/Sheep | ||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 1257 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 30.77 | 36.13 | 28.03 | 29.77 | 62.35 | 2 | 1257 | Goat/Sheep | ||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 1257 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 70.42 | 82.66 | 18.79 | 23.43 | 97.65 | 2 | 1257 | Goat/Sheep | ||||||
| Neophron percnopterus majorensis | 2019 | Fuerteventura | Pájara | 607688 | 3159978 | 13.34 | 15.66 | 2.72 | 2.88 | 17.3 | 2 | 1294 | Pork | ||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Antigua | 598898 | 3143771 | 162.38 | 190.62 | 176.5 | 1 | 1320 | Pork | ||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 590936 | 3142556 | 0 | 0 | 1371 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 590936 | 3142556 | 36.69 | 45.77 | 41.23 | 1 | 1371 | Goat/Sheep | ||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Antigua | 605541 | 3130700 | 0 | 0 | 1397 | Cattle | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Antigua | 605541 | 3130700 | 29.77 | 37.13 | 100.08 | 124.82 | 145.9 | 2 | 1397 | Cattle | ||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 604312 | 3150277 | 28.59 | 35.65 | 32.12 | 1 | 1402 | Pork | ||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 611720 | 3155801 | 0 | 0 | 1434 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | Puerto del Rosario | 611720 | 3155801 | 11.77 | 14.69 | 29.56 | 36.86 | 46.44 | 2 | 1434 | Pork | ||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 607305 | 3150431 | 40.65 | 50.69 | 45.67 | 1 | 1514 | Pork | ||||||||
| Neophron percnopterus majorensis | 2018 | Fuerteventura | Puerto del Rosario | 608263 | 3160015 | 8.28 | 10.32 | 88.91 | 110.89 | 109.2 | 2 | 1614 | Pork | ||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 596714 | 3153054 | 0 | 0 | 1703 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 596714 | 3153054 | 11.76 | 14.66 | 13.21 | 1 | 1703 | Pork | ||||||||
| Neophron percnopterus majorensis | 2018 | Fuerteventura | Tuineje | 596478 | 3134487 | 0 | 0 | 1822 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Tuineje | 587076 | 3127897 | 0 | 0 | 1850 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2018 | Fuerteventura | Puerto del Rosario | 606387 | 3150575 | 86.06 | 107.34 | 96.7 | 1 | 1997 | Pork | ||||||||
| Neophron percnopterus majorensis | 2019 | Fuerteventura | Puerto del Rosario | 609021 | 3150578 | 0 | 0 | 2374 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | La Oliva | 612467 | 3167795 | 0 | 0 | 3266 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2012 | Fuerteventura | La Oliva | 604784 | 3171358 | 0 | 0 | 3758 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 3787 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 3787 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 3787 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 3787 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2019 | Fuerteventura | Puerto del Rosario | 607885 | 3144275 | 0 | 0 | 4320 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 611889 | 3160520 | 0 | 0 | 4320 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | La Oliva | 611994 | 3169859 | 0 | 0 | 4322 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2016 | Fuerteventura | La Oliva | 599608 | 3168201 | 0 | 0 | 5137 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 609614 | 3144261 | 0 | 0 | 5311 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Tuineje | 593053 | 3140264 | 0 | 0 | 5438 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Antigua | 608244 | 3142737 | 0 | 0 | 5783 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Pájara | 587946 | 3134649 | 0 | 0 | 5890 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2019 | Lanzarote | Teguise | 645605 | 3218612 | 0 | 0 | 6023 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | La Oliva | 598129 | 3168975 | 0 | 0 | 6214 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2019 | Fuerteventura | La Oliva | 597873 | 3166603 | 0 | 0 | 6251 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Puerto del Rosario | 605347 | 3134467 | 0 | 0 | 6450 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Pájara | 585159 | 3141910 | 0 | 0 | 6580 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2019 | Fuerteventura | Puerto del Rosario | 604194 | 3130953 | 0 | 0 | 6790 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Tuineje | 608844 | 3137625 | 0 | 0 | 7125 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Pájara | 583630 | 3134807 | 0 | 0 | 7230 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2018 | Fuerteventura | Pájara | 573786 | 3115739 | 0 | 0 | 7719 | Pork | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 7750 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | La Oliva | 604823 | 3166247 | 0 | 0 | 7750 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 560849 | 3109790 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 561500 | 3108762 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 560847 | 3108070 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 562108 | 3108323 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 561541 | 3108920 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 562037 | 3108820 | 0 | 0 | 8201 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2011 | Fuerteventura | Tuineje | 590891 | 3124411 | 12.21 | 9.59 | 20.29 | 21.99 | 32.04 | 2 | 8240 | Pork | ||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Pájara | 582566 | 311811 | 0 | 0 | 8544 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2020 | Fuerteventura | Puerto del Rosario | 603683 | 3153678 | 0 | 0 | 9716 | Goat/sheep | ||||||||||
| Neophron percnopterus majorensis | 2015 | Fuerteventura | Pájara | 581745 | 3137832 | 0 | 0 | 9870 | Goat/Sheep | ||||||||||
| Neophron percnopterus majorensis | 2017 | Fuerteventura | Pájara | 562439 | 3109174 | 0 | 0 | 20147 | Pork | ||||||||||
| Tyto alba alba | 2020 | Gran Canaria | Galdar | 438947 | 3108983 | 14.29 | 11.23 | 3.08 | 3.34 | 1.11 | 1.39 | 17.22 | 3 | 811 | Pork | ||||
| Tyto alba alba | 2019 | Gran Canaria | Galdar | 437861 | 3109172 | 5.60 | 4.40 | 1.54 | 1.66 | 13.88 | 17.32 | 22.2 | 3 | 867 | Cattle | ||||
| Tyto alba alba | 2020 | Gran Canaria | Galdar | 432671 | 3116177 | 134.06 | 105.34 | 119.7 | 1 | 1104 | Pork | ||||||||
| Tyto alba alba | 2020 | Gran Canaria | Santa Brígida | 451999 | 3100544 | 0 | 0 | 1480 | Goat/Sheep | ||||||||||
| Tyto alba alba | 2019 | Gran Canaria | Las Palmas de Gran Canaria | 450683 | 3107583 | 4.82 | 3.78 | 4.3 | 1 | 3325 | Goat/Sheep | ||||||||
| Tyto alba gracilirostris | 2011 | Lanzarote | Yaiza | 623148 | 3198152 | 0.20 | 0.16 | 0.22 | 0.24 | 0.04 | 0.04 | 0.45 | 3 | 602 | Pork | ||||
| Tyto alba gracilirostris | 2019 | Fuerteventura | Puerto del Rosario | 597146 | 3152290 | 12.21 | 9.59 | 10.9 | 1 | 1400 | Pork | ||||||||
| Tyto alba gracilirostris | 2011 | Lanzarote | Yaiza | 619010 | 3203526 | 12.77 | 10.03 | 32.06 | 34.74 | 1.13 | 1.19 | 45.96 | 3 | 1423 | Pork | ||||
Figs. 1 to 5 present a double panel each. On the one hand, we present the geographical location of all cases (positive and negative for anticoagulant rodenticides) on the map of each of the Canary Islands (with the exception of El Hierro, in which only 2 cases were recorded), and the relationship with the location of medium / large-sized livestock farms, surrounded by a 1.5 km buffer zone (which we consider to coincide with the average home range of the raptor species studied). Additionally, in each of these graphs, the comparative statistics of the distribution of anticoagulant rodenticide values between the groups of animals that were found inside or outside the aforementioned 1.5 km buffer zone of the livestock farms are also presented.
Fig. 2.
Map of the Island of Fuerteventura. The location of the cases of raptors positive to oral anticoagulants (red stars), the negative ones (white stars) and the cattle farms surrounded by a buffer zone of 1.5 km radius are shown. On the right, a box and whiskers graph shows the statistical comparison between the two groups of animals, found inside or outside the buffer zone of the farms. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 3.
Map of the Islands of Lanzarote and La Graciosa. The location of the cases of raptors positive to oral anticoagulants (red stars), the negative ones (white stars) and the cattle farms surrounded by a buffer zone of 1.5 km radius are shown. On the right, a box and whiskers graph shows the statistical comparison between the two groups of animals, found inside or outside the buffer zone of the farms. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 4.
Map of the Island of Tenerife. The location of the cases of raptors positive to oral anticoagulants (red stars), the negative ones (white stars) and the cattle farms surrounded by a buffer zone of 1.5 km radius are shown. On the right, a box and whiskers graph shows the statistical comparison between the two groups of animals, found inside or outside the buffer zone of the farms. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 1.
Map of the Island of Gran Canaria. The location of the cases of raptors positive to oral anticoagulants (red stars), the negative ones (white stars) and the cattle farms surrounded by a buffer zone of 1.5 km radius are shown. On the right, a box and whiskers graph shows the statistical comparison between the two groups of animals, found inside or outside the buffer zone of the farms. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Fig. 5.
Map of the Islands of La Palma and La Gomera. The location of the cases of raptors positive to oral anticoagulants (red stars), the negative ones (white stars) and the cattle farms surrounded by a buffer zone of 1.5 km radius are shown. On the right, a box and whiskers graph shows the statistical comparison between the two groups of animals, found inside or outside the buffer zone of the farms. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Additionally, detailed analysis is presented for those raptor species in which more than 50 individuals were analysed. In these analyses we present the comparative statistics of the distribution of anticoagulant rodenticide values between the groups of birds that were found inside or outside the 1.5 km-buffer zone of farms: common kestrel (Falco tinnunculus, Fig. 6); common buzzard (Buteo buteo, Fig. 7); long-eared owl (Asio otus, Fig. 8); and Egyptian vulture (Neophron percnopterus, Fig. 9).
Fig. 6.
Box and whiskers graph showing the statistical comparison between the two groups of common buzzards (Buteo buteo insularum), found inside or outside the buffer zone of the farms.
Fig. 7.
Box and whiskers graph showing the statistical comparison between the two groups of common kestrels (Falco tinnunculus canariensis and dacotiae), found inside or outside the buffer zone of the farms.
Fig. 8.
Box and whiskers graph showing the statistical comparison between the two groups of long-eared owls (Asio otus canariensis), found inside or outside the buffer zone of the farms.
Fig. 9.
Box and whiskers graph showing the statistical comparison between the two groups of Egyptian vultures (Neophron percnopterus majorensis), found inside or outside the buffer zone of the farms.
2. Experimental Design, Materials and Methods
2.1. Sampling
This study was carried out in the Canary Islands, and the samples were taken in the context of the Poisoning Control and Prevention Strategy in the Canaries [2] from 2011 to May 2020. The corpses or liver samples were received in the ULPGC Toxicology Laboratory for forensic toxicological evaluations. Only those birds that had georeferenced information about the place where they were found and furthermore, the good state of conservation of the animals allowed the sampling of the liver were included. The series of raptors included 308 individuals from 13 different species/subspecies: Accipiter nisus granti (n = 9); Actitis hypoleucos (n = 1); Asio otus canariensis (n = 68); Buteo buteo insularum (n = 53); Circus aeruginosus (n = 1); Falco eleonorae (n = 4); Falco peregrinus pelegrinoides (n = 13); Falco subbuteo (n = 1); Falco tinnunculus canariensis (n = 69); Falco tinnunculus dacotiae (n = 14); Neophron percnopterus majorensis (n = 67); Tyto alba alba (n = 5); and Tyto alba gracilirostris (n = 3). The animals were sent by environmental officers or patrols if found dead, or by wildlife recovery centers if they had been admitted alive but euthanized or death within a week of admission. All carcasses were kept frozen at −20 °C, until they were necropsied. No animals were sacrificed for the purpose of this study. The livers, as the main organ for accumulation and storage of rodenticides, were used for this study [3]. Obtained during the necropsy, they were kept frozen at −20 °C until the preparation of the extraction and chemical analysis.
2.2. Chemical analyses
During these 10 years, we employed two extraction-detection methods for the quantitative analysis of all the anticoagulant rodenticides permitted in the EU (brodifacoum, bromadiolone, chlorophacinone, coumatetralyl, difenacoum, difethialone, flocoumafen and warfarin) [4]. All the solvents employed were of the highest purity available (>99. 9%, Honeywell, Morristown, NJ, USA). Ultrapure (UP) water was produced in the laboratory using a Gradient A10 Milli-Q System (Millipore, Molsheim, France). Standards for ARs and a procedural-internal standard (P-IS, (±)-Warfarin-d5) were purchased from Dr. Ehrenstorfer (Augsburg, Germany). All standards were pure compounds (purity from 98% to 99.5%). The method employed from January 2011 to November 2015 was a solid-liquid extraction followed of a LC-MS/MS analysis using a Thermo LC-MS/MS Accela Ultra instrument (Thermo Fisher Scientific Inc., USA) as previously described [5]. The method employed from December 2015 to May 2020 consisted on an extraction based on the QuEChERS method (Anastassiades et al., 2003), which has been fully validated in our laboratory followed by a LC-MS/MS analysis using an Agilent 1290 UHPLC (Agilent Technologies, Palo Alto, USA) coupled to an Agilent 6460 triple-quadrupole mass spectrometer, according to the previously described procedure [6]. All the quantitative data were obtained from at least two independent measurements.
2.3. Geospatial analysis of the data (GIS analysis)
The data about the place where the carcass was found were collected by Canary Islands environmental patrols and obtained by GPS tracking. We employed the QGIS Desktop software (version 3.12) for the analyses of geospatial data. The images were projected to the UTM 28N zone based on the WGS84 Geographic Coordinates System. Several vectorial map layers were created for animals positive for anticoagulant rodenticides; animals negative for anticoagulant rodenticides, farms of pig/cattle/sheep/goat production, and 1.5 km-buffer zones for farms, and all these were superimposed on the base map (OpenStreetMap).
2.4. Statistical analysis
The statistical analyses were done using the software package using GraphPad Prism v8.0 (GraphPad Software, CA, USA). First, the adjustment to the series of data to normality was examined using the Kolmogorov–Smirnov test. The distributions of the anticoagulant rodenticides did not adjust to normality and therefore, non-parametric tests were employed. Thus, we used the Mann–Whitney tests for the analysis. Probability levels of less than 0.05 (two tailed) were considered statistically significant.
Ethics Statement
All samples were collected after obtaining the corresponding permits and following the animal welfare protocols during the sampling.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships which have, or could be perceived to have, influenced the work reported in this article.
Acknowledgments
Acknowledgments
This research was supported by the University of Las Palmas de Gran Canaria via a doctoral grant to the first author Cristian Rial-Berriel (ULPGC-012-2016) and also by the Spanish Ministry of Education, Culture and Sports via a doctoral grant to the first co-author Andrea Acosta-Dacal (FPU16-01888).
CRediT Author Statement
Guarantor of integrity of the entire study: OPL
Study concepts and design: OPL
Literature research: CRB, AAD, MACP, ASP, AMM, OPL
Laboratory work: CRB, AAD, ASP, NRS, ARH, AMM, MZ, LAHH, LDB, OPL
Data analysis: CRB, AAD, NRS, MACP, AMM, OPL
Statistical analysis: LAHH, OPL
Manuscript preparation: CRB, AAD, MACP, ASP, AMM, MZ, OPL
Manuscript editing: CRB, AAD, MACP, ASP, AMM, MZ, OPL
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