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Atlas · Romania and Europe, 1953–2026
The golden jackal moves northFrom the lower Danube into every county of Romania, and across Europe past the Arctic Circle
In the spring of 2014 the managers of Romania’s hunting grounds estimated 7,566 golden jackals. In the spring of 2026 they estimated 46,645. Across Europe, the earliest confirmed records date from 2013 in Estonia, 2015 in Poland, 2018 in Finland and 2019 at Lakselv, in Arctic Norway.
Where did the golden jackal live before 1970?#
In the middle of the last century the golden jackal lived in Europe only in a few corners of the Balkans: on the Strandja coast where Bulgaria meets Turkey, in Dalmatia, in the Peloponnese, and between the Struma valley and Chalkidiki. That is how the zoologists Nikolai Spassov and Ilya Acosta-Pankov describe it in a 2019 reconstruction.
Romania, across the Danube from Bulgaria, saw it only now and then. It was reported in Dobruja, Romania’s strip of land between the lower Danube and the Black Sea, in the 1920s, and on the Danube bank opposite the Bulgarian town of Lom in 1929. In 1954 jackals were seen near Craiova and Călărași in the south, and near Piatra Neamț and Focșani in the north-east. In the 1960s the jackal vanished from many places in the Balkans, through habitat loss and poisoned bait.
In 1962 Bulgaria banned poisoned bait and protected the jackal. From there the strongest expansion set off, north and west. It was back in Romanian Dobruja by the early 1970s.
How many golden jackals are there in Romania?#
Every spring each hunting ground in Romania reports how many animals it estimates live on its land, and the environment ministry publishes the tables. The map shades each county by the jackals per 100 km² estimated that spring.
For the jackal, the total rose from 7,566 in 2014 to 46,645 in 2026: 6.2 times in 12 years, about 16% a year. For 2004, a study from Transilvania University in Brașov, based on the same reports, gives an estimate of 1,291; the 2026 estimate is 36 times larger.
The number reported shot also rose: from 3,662 in the 2014–15 season to 24,587 in 2025–26.
These are estimates by the managers of hunting grounds, not counts by biologists. The national total for the same year sometimes differs between two successive files, by up to 10%, and some counties are revised by more; the map uses the first value published.
Which counties began reporting jackals last?#
In 2014, 30 of Romania’s 41 counties reported jackals. The other 11 began listing them between 2015 and 2019, all in central, northern and eastern Romania (Transylvania, Maramureș and Moldavia): Bacău, Botoșani, Brașov and Hunedoara in 2015; Cluj and Suceava in 2016; Covasna and Maramureș in 2017; Bistrița-Năsăud and Neamț in 2018; Sălaj in 2019.
The first year in a table is not the first sighting. Two jackals were shot at Voroneț in Suceava in 1970, and one was killed at Cricău in Alba in 2007, according to the 2012 paper by Ovidiu Banea and colleagues.
In the spring of 2026 Mehedinți had the most jackals per 100 km² (51.1) and Suceava the fewest (1.6).
Could anyone have foreseen when the jackal would multiply in a county?#
The first idea is a front advancing at a steady speed. Then the distance from the counties where jackals were already common in 2014 should tell the year they become as common in the others.
The test hid the years after 2018 and asked each method to guess them. Across the 10 counties for which both methods gave a forecast, the median absolute error was 3.8 years for the steady front, usually too early, and 1.9 years for each county’s own trend until then, extended. In 36 of 38 versions of the test (another density threshold, another cut-off year, estimates or animals shot), the county’s trend had the smaller median absolute error.
The test does not show how the jackal moved inside a county: a county total cannot tell a front passing through it from growth in place. It shows only that, in the counties where both could be compared, a county’s own numbers forecast better than the distance.
front county trend
When were the earliest confirmed records in the 17 countries on the map?#
Each star is the earliest confirmed record found for a country outside the Balkans: an animal shot, run over, photographed by a camera or identified by its DNA. Slovenia in 1953, Italy in 1984, Austria in 1987, Slovakia in 1989, Germany in 1997, Czechia in 2006, Switzerland and Belarus in 2011, Estonia in 2013, Poland, Lithuania and Denmark in 2015, the Netherlands in 2016, France in 2017, Finland in 2018, Norway in 2019, Spain in 2023.
The golden squares are the 10 km cells where specialists of the Large Carnivore Initiative for Europe (LCIE) recorded the jackal in 2012–2016: 3,385 with permanent presence, 981 with wanderers, drawn as dots.
No confirmed wild record in Britain was found in the sources read. The nearest are in the Netherlands (2016), France (2017) and Denmark (2015). Latvia is left off the map because its source gives both 2013 and 2014. Jackals have been reported in Sweden and Belgium, but none of those reports had been confirmed by specialists in the sources read.
The wanderers come first, the pups later#
The double ring marks the first pups documented in a country. Between the first confirmed jackal and the first pups there were 20 years in Austria (1987 and 2007), 24 in Germany (1997 and 2021), 11 in Czechia (2006 and 2017) and one in Italy (1984 and 1985). In Poland and Estonia breeding was reported in the same year as the first record (2015 and 2013).
In Norway, Finland, Denmark, the Netherlands, France and Spain, breeding had not been confirmed in the sources read. In France a young female killed on a road in 2023 suggested pups born there, without confirmation.
One pace does not fit: Norway’s first jackal was photographed almost two decades before the predicted year#
Plot the 11 countries with first records up to 2015 (leaving out Slovenia, where the sources point mainly to jackals from the Adriatic population) against their distance from the Strandja coast, and a straight line gives a pace of about 50 km a year. Asked to guess the 5 countries with first records after 2015, the line has a median absolute error of 6.7 years (7.4 if distance is measured from the Iron Gates of the Danube).
The line predicts Norway’s first record in 2038; the jackal was photographed at Lakselv in 2019, 19 years earlier. France’s first record came later than the line said, Spain’s close to the predicted year.
The same as with Romania’s counties, at the scale of a continent: the year the first jackal turns up in a place cannot be read from a single speed.
Why open databases draw the spread wrongly#
The blue dots are the 2,576 jackal records on this map held by GBIF, the public database that gathers sightings from apps such as iNaturalist, museum collections and national atlases.
In Romania the records kept here cover only 11 of 41 counties. In the other 30, where hunters reported jackals shot in these years, the GBIF extract used here has no jackal at all.
A test on 50 km squares: in each square with a recorded jackal, was there a year with at least three fox records at least five years before? In the jackal’s new countries, yes, in 67% of squares: there the first jackal in the database follows years in which people were recording animals. In the old range, from Romania to Greece, only 5% of squares meet the condition: there the first jackal in the database cannot date its arrival. With other thresholds the share stays below 38% in the old range and above 51% in the new. Even in the new countries, a record does not prove the exact year of arrival.
Do wolves keep the golden jackal away?#
A common explanation: the jackal spread where people wiped out the wolf. Miha Krofel and colleagues showed in 2017 that the jackal’s range overlapped the wolf’s on 7.1% of it in 1950–1970 and on 22.7% after 2000, and that in seven of eight places where wolves returned, jackals disappeared or moved to the edge of the wolves’ territory.
Across Romania’s counties the test cannot decide. Wolves live in the mountains, and the share of a county inside the wolf range reported to the EU for 2019–2024 goes almost hand in hand with the county’s mean height (correlation 0.94). Counties with more of their area in the reported wolf range have a lower estimated jackal density (correlation -0.56), but so do the highest ones; with the linear link to mean height removed, the correlation left is -0.02. A comparison by county cannot tell the effect of wolves from that of the mountains.
Krofel’s study areas measured 110 to 450 km². A Romanian county averages 5,808 km².
The official map sent to the European Union#
Every six years Romania reports to the European Commission, on 10 km squares, where the species of the Habitats Directive live, the jackal among them. Its map covers 14% of the country in the report for 2007–2012 and 80% in the report for 2019–2024.
The map in the report for 2013–2018 does not fit the others. It puts the jackal in the Carpathians and Transylvania and leaves out Dobruja, Dolj and Olt, where hunters were then shooting hundreds a year. The wolf map in the same report lies wholly inside it; the two differ by 2,400 km².
The documents reviewed do not explain the difference. The list of corrections published for Romania’s report does not mention the jackal.
Golden jackals near you#
Type a town or click the map. For a town in Romania: how many jackals hunters estimated in its county each spring since 2014 and how many were shot. For anywhere in Europe: the 10 km square in 2012–2016, the nearest open record and the nearest first record of a country.
You can also click the map directly.
| County | 2014 | 2026 | per 100 km² | shot 2025–26 |
|---|---|---|---|---|
| Mehedinți | 361 | 2,528 | 51.1 | 1,772 |
| Tulcea | 1,808 | 4,079 | 48.0 | 1,726 |
| Olt | 292 | 2,613 | 47.5 | 2,203 |
| Gorj | 105 | 2,470 | 44.2 | 990 |
| Dolj | 1,037 | 3,261 | 44.0 | 2,627 |
| Constanța | 501 | 2,977 | 42.1 | 1,737 |
| Buzău | 319 | 2,345 | 38.4 | 665 |
| Călărași | 550 | 1,741 | 34.2 | 1,123 |
| Timiș | 200 | 2,850 | 32.8 | 1,575 |
| Ilfov | 7 | 482 | 30.7 | 129 |
| Caraș-Severin | 210 | 2,089 | 24.5 | 754 |
| Vâlcea | 131 | 1,204 | 20.9 | 605 |
| Ialomița | 310 | 919 | 20.6 | 600 |
| Vaslui | 300 | 1,067 | 20.0 | 734 |
| Brăila | 184 | 955 | 20.0 | 441 |
| Prahova | 154 | 926 | 19.7 | 397 |
| Teleorman | 462 | 1,007 | 17.4 | 674 |
| Giurgiu | 190 | 604 | 17.0 | 422 |
| Galați | 46 | 750 | 16.8 | 267 |
| Argeș | 98 | 1,102 | 16.1 | 580 |
| Arad | 105 | 1,182 | 15.3 | 503 |
| Mureș | 9 | 1,010 | 15.0 | 307 |
| Dâmbovița | 4 | 573 | 14.1 | 432 |
| Satu Mare | 10 | 519 | 11.8 | 249 |
| Hunedoara | 0 | 830 | 11.7 | 422 |
| Alba | 32 | 715 | 11.5 | 423 |
| Sălaj | 0 | 427 | 11.1 | 56 |
| Vrancea | 45 | 508 | 10.5 | 219 |
| Sibiu | 43 | 544 | 10.0 | 201 |
| Bihor | 28 | 627 | 8.3 | 281 |
| Brașov | 0 | 435 | 8.1 | 333 |
| Bistrița-Năsăud | 0 | 414 | 7.7 | 75 |
| Covasna | 0 | 275 | 7.4 | 73 |
| Botoșani | 0 | 354 | 7.1 | 180 |
| Harghita | 15 | 456 | 6.9 | 58 |
| Cluj | 0 | 429 | 6.4 | 123 |
| Iași | 10 | 340 | 6.2 | 239 |
| Bacău | 0 | 366 | 5.5 | 116 |
| Neamț | 0 | 263 | 4.5 | 145 |
| Maramureș | 0 | 275 | 4.4 | 93 |
| Suceava | 0 | 134 | 1.6 | 38 |
How the map was made, and how far to trust it#
The county numbers come from the 12 files Romania’s environment ministry published for the springs of 2015–2026, one row per hunting ground and a total per county. The 2015–2024 files give the year’s estimate and the year before, the 2025 and 2026 files only the year’s; each also gives the jackals shot in the season just ended. The columns move from year to year and were read by hand; the county totals add up exactly to each file’s national total, except in 2022, where the file itself is off by under 1%. The 2025 figure matches the one published independently by Popovici and colleagues.
A county’s threshold year is the first spring its estimate reaches a given density. The threshold stands in for a rule of “more than one animal”: the test was rerun at 1, 2, 3 and 5 jackals estimated per 100 km² and at 0.5, 1, 2 and 3 shot per 100 km², and the result holds at every threshold. The forecast test hides the years after 2016, 2017 or 2018 and compares two methods on the same counties: a steady-speed front, fitted on the counties that had crossed (and on those that had not yet, as censored data), and each county’s own logarithmic trend extended. An isolated one-year value far above both neighbouring years is treated as a possible entry error: in the estimate runs with a 2018 cut-off, Iași 2017 takes the 2018 value; runs with earlier cut-offs make no such adjustment, and none uses years after the cut-off.
The open records are the GBIF records inside the map frame with coordinates and a year. Records with a stated uncertainty above 10 km were removed (those with none stated were kept), as were duplicates with the same date and coordinates and four captive specimens from Almería. The first records by country come from scientific papers and from the institutions that confirmed them; each is linked below.
What the map cannot say: how many jackals live in a place smaller than a county; whether wolves keep them away; whether the lack of a record means the lack of an animal.
Questions#
Are there golden jackals in Britain?
No confirmed wild record was found in the sources read. The nearest are in the Netherlands (2016), France (2017) and Denmark (2015).
When was the first golden jackal seen in Norway?
Norway’s first confirmed jackal was photographed at Lakselv, in Finnmark, in 2019; experts confirmed the identification in 2021.
How many golden jackals live in Romania?
In the spring of 2026 the managers of Romania’s hunting grounds estimated 46,645 jackals, against 7,566 in 2014.
Sources#
- Romania's environment ministry: annual game evaluations, 2015–2026
- Spassov & Acosta-Pankov (2019), dispersal history of the golden jackal in Europe, Biodiversity Data Journal
- Banea et al. (2012), jackals in the Danube Delta and hunting grounds of Romania, Acta Zoologica Bulgarica
- Popovici et al. (2025), the golden jackal in Romania 2004–2025, Bulletin of the Transilvania University of Brașov
- Krofel et al. (2017), golden jackal expansion and the wolf, Hystrix
- Ranc et al. (2022), LCIE golden jackal distribution in Europe, 2012–2016 (CC BY 4.0)
- European Environment Agency: maps reported under Article 17 of the Habitats Directive
- Romania’s report for 2013–2018 and its log of corrections (Eionet)
- GBIF: Canis aureus occurrences, retrieved 19 October 2026
- Zedrosser (1995), the first jackal in Austria, Stapfia
- Herzig-Straschil (2008), first breeding in Austria
- Krofel et al. (2023), the jackal in Slovenia, Mammal Research
- Lapini (2011), the jackal in north-eastern Italy
- Urban et al. (2020), the jackal in Slovakia, Folia Oecologica
- Mudra (2001), the first jackal in Germany
- Böcker et al. (2023), first breeding in Germany, Mammal Research
- Pyšková et al. (2016), the jackal in Czechia, ZooKeys
- Grichik et al. (2018), the first jackal in Belarus, Journal of the Belarusian State University
- Česká krajina (2017), the first jackal breeding confirmed in Czechia
- KORA: the golden jackal in Switzerland
- Paulauskas et al. (2018), the jackal in the Baltic countries, Biologija
- Männil & Ranc (2022), the jackal in Estonia, Mammal Research
- Kowalczyk et al. (2015), the first jackal in Poland, Mammal Research
- Kowalczyk et al. (2020), breeding in Poland, Mammalian Biology
- University of Copenhagen: golden jackals in Denmark
- Lammertsma et al. (2025), the jackal in the Netherlands, Wageningen
- Le Dauphiné Libéré (2018), the first jackal in France
- Kojola et al. (2024), the jackal in Finland, Mammalian Biology
- Rovdata (2021), Norway’s first confirmed jackal
- Sáenz de Buruaga et al. (2023), the first jackal in the Iberian Peninsula, Galemys
- NOAA ETOPO1 (relief), Natural Earth (borders), geoBoundaries (counties, CC BY 4.0), GeoNames (places, CC BY 4.0)
GBIF records used: 53 datasets
- iNaturalist Research-grade Observations · iNaturalist.org · CC BY-NC 4.0 · doi:10.15468/ab3s5x · 687
- Observation.org, Nature data from around the World · Observation.org · CC BY-NC 4.0 · doi:10.15468/5nilie · 675
- InfoFaunaFVG monitoring and surveillance network · University of Udine - DI4A Department · CC BY-NC 4.0 · doi:10.15468/ka658u · 190
- Terrestrial mammals of Dobrogea Region, Romania · ZooKeys · CC BY-NC 4.0 · doi:10.15468/o8ku0a · 172
- Estonian Naturalists’ Society · Estonian Naturalists’ Society · CC BY-NC 4.0 · doi:10.15468/bmk3ab · 138
- NABU|naturgucker · naturgucker.de · CC BY 4.0 · doi:10.15468/uc1apo · 96
- Mammal records for Europe via the iMammalia app · Biological Records Centre · CC BY 4.0 · doi:10.15468/a8ngn5 · 86
- Norwegian Species Observation Service · Norwegian Biodiversity Information Centre · CC BY 4.0 · doi:10.15468/zjbzel · 83
- Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles (Opportunistic Records) · CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal · CC BY 4.0 · doi:10.1038/s41597-024-04207-x · 82
- MammalWeb non-UK records · MammalWeb · CC BY 4.0 · doi:10.15468/5up6nu · 64
- Biodiversity surveys conducted for Sisian-Kajaran road construction project (EIA) · Biotope · CC BY 4.0 · doi:10.15468/y3m8hx · 46
- Swiss National Mammal Databank · Swiss National Biodiversity Data and Information Centres – InfoSpecies · CC BY 4.0 · doi:10.15468/j3a9ax · 43
- Mammals of Montenegro · Wildlife Montenegro · CC BY 4.0 · doi:10.15468/jr2me6 · 24
- Records of alien species in Ukraine · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/xfjq83 · 24
- ZOBODAT (Zoological Botanical Database) · Biologiezentrum Linz Oberoesterreich · CC0 1.0 · doi:10.15468/ynjblx · 20
- Estonian Nature Observations Database · Estonian Environment Information Centre · CC BY 4.0 · doi:10.15468/dlblir · 15
- Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles (Systematic Records) · CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal · CC BY 4.0 · doi:10.1038/s41597-024-04207-x · 12
- Swiss National Mammal Databank: Larger Carnivores Monitoring Program (KORA) · Swiss National Biodiversity Data and Information Centres – InfoSpecies · CC BY 4.0 · doi:10.15468/5ktxhj · 12
- INC PAS The Atlas of Mammals of Poland · Institute of Nature Conservation, Polish Academy of Sciences (IOP PAN) · CC BY-NC 4.0 · doi:10.15468/ns6cxk · 12
- Xeno-canto - Land mammal sounds from around the world · Xeno-canto Foundation for Nature Sounds · CC BY-NC 4.0 · doi:10.15468/b7k9t4 · 10
- Artportalen · SLU Artdatabanken · CC0 1.0 · doi:10.15468/kllkyl · 10
- Mammal observations from Ukrainian scientific literature · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/m6dmqm · 10
- Löydös Open Finnish Observation Database · Finnish Biodiversity Information Facility · CC BY 4.0 · doi:10.15468/8fzv2j · 7
- Some finds of birds, mammals, amphibians and reptiles in autumn and winter 2021 - 2022 in Kharkiv region, Ukraine · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/jwk49g · 6
- INSDC Sequences · European Nucleotide Archive (EMBL-EBI) · CC BY 4.0 · doi:10.15468/sbmztx · 5
- Roadkill · University of Natural Resources and Life Sciences, Vienna · CC BY 4.0 · doi:10.15468/ejb47y · 5
- Biodiversitätsdatenbank Salzburg · Haus der Natur Salzburg, Museum für Natur und Technik · CC BY-NC 4.0 · doi:10.15468/3pf855 · 4
- Mammals on map of Ukraine. Materials of the First Ukrainian Mammal Mapping Conference · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/b7x6df · 4
- CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes de Patrick HAFFNER · UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris · CC BY 4.0 · doi:10.15468/gn9rds · 4
- DOF/BirdLife Denmark - Observations from DOFbasen · Danish Ornithological Society · CC BY-NC 4.0 · doi:10.15468/tww7cj · 3
- Some finds of birds, mammals, insects, amphibians and reptiles in July 2014 in Georgia · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/xa7mmc · 3
- Notebook, general observations · Finnish Biodiversity Information Facility · CC BY 4.0 · doi:10.15468/4g56tp · 2
- Small mammals of Bulgaria · National Museum of Natural History, Bulgarian Academy of Sciences · CC0 1.0 · doi:10.15468/7cpnhn · 2
- Biodiversitätsdatenbank Nationalpark Kalkalpen · National Park Kalkalpen · CC BY 4.0 · doi:10.15468/tgezgw · 1
- ZMUO Common vertebrate collection · University of Oulu - Biodiversity Unit · CC BY 4.0 · doi:10.15468/u5mr6a · 1
- Species recordings from the Danish National Portal Arter.dk · Styrelsen for Grøn Arealomlægning og Vandmiljø/The Danish Agency for Green Land Use and Aquatic Environment (SGAV) · CC BY 4.0 · doi:10.15468/q3yy4u · 1
- PlutoF platform reference-based occurrences · PlutoF · CC BY 4.0 · doi:10.15468/e15jve · 1
- Some zoological observations in Kherson region of Ukraine · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/zb4j47 · 1
- Naturalis Biodiversity Center (NL) - Mammalia · Naturalis Biodiversity Center · CC0 1.0 · doi:10.15468/d7gugd · 1
- International Barcode of Life project (iBOL) · The International Barcode of Life Consortium · CC BY 4.0 · doi:10.15468/inygc6 · 1
- Données naturalistes opportunistes Faune-France - Données Naturalistes Faune-France 2020 Communes · UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris · CC BY 4.0 · doi:10.15468/demggq · 1
- Données opportunistes ponctuelles portées à connaissance de l'Observatoire FAUNA · UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris · CC BY 4.0 · doi:10.15468/hcwxk8 · 1
- CardObs : Observations naturalistes issues de l'outil CardObs-Données naturalistes opportunistes · UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris · CC BY 4.0 · doi:10.15468/zwbzap · 1
- North-South Corridor (Kvesheti-Kobi) Road Project - APPENDIX Y OTHER ECOLOGICAL SURVEYS · Plazi.org taxonomic treatments database · CC0 1.0 · doi:10.15468/3te7xp · 1
- Anymals+plants - Citizen Science Data · Museum für Naturkunde Berlin · CC BY-NC 4.0 · doi:10.15468/ee6ps6 · 1
- BoBO - Botanic Garden and Botanical Museum Berlin Observations · Botanic Garden and Botanical Museum Berlin · CC0 1.0 · doi:10.15468/9ll2gz · 1
- Records of animals described in the cadastre of terrestrial tetrapods of the Vinnytsia region · Ukrainian Nature Conservation Group (NGO) · CC BY 4.0 · doi:10.15468/47rtu9 · 1
- Données d'occurrences Espèces issues de l'inventaire des ZNIEFF · UAR PatriNat (OFB-MNHN-CNRS-IRD), Paris · CC BY 4.0 · doi:10.15468/ikshke · 1
- The Materials of the scientific articles of the Kherson Hydrobiological Station of the National Academy of Sciences of Ukraine (NAS) · Kherson State University · CC BY-NC 4.0 · doi:10.15468/fcdwrc · 1
- Mammal Collection (MHNG-MAMO) of Muséum d'histoire naturelle de Genève · Swiss Natural History Collections - SwissNatColl · CC BY 4.0 · doi:10.15468/lwu4fj · 1
- Museum of Comparative Zoology, Harvard University · Museum of Comparative Zoology, Harvard University · CC BY-NC 4.0 · doi:10.15468/p5rupv · 1
- RBINS Mammal collection · Royal Belgian Institute of Natural Sciences · CC BY-NC 4.0 · doi:10.15468/hsh877 · 1
- ZFMK Mammalia collection · Leibniz Institute for the Analysis of Biodiversity Change (LIB) · CC BY 4.0 · doi:10.15468/gwqwux · 1